Reductive acetogenesis is a dominant process in the ruminant hindgut
Open accessPublished version of a preprint
Abstract
Abstract Background The microbes residing in ruminant gastrointestinal tracts convert plant biomass to nutritious volatile fatty acids, the primary energy source for ruminants. Ruminants´ gastrointestinal tract comprises a foregut (rumen) and hindgut (cecum and colon), each with contrasting structures and functions in anaerobic digestion. With most previous studies focusing on the rumen microbiome, the cecal microbiome is much less investigated and understood, including the assembling microbial communities and overriding pathways of hydrogen metabolism. Results Here we comparatively investigated the composition, capabilities, and activities of the rumen and the cecum microbiome using goats as experimental ruminant model. In situ measurements showed that acetate and hydrogen levels were both higher in the cecum than in the rumen. Concurrently, microbes capable of host mucin degradation and fermentative hydrogen production were more abundant in the cecum, whereas fibrolytic fermentative bacteria, hydrogenotrophic respiratory bacteria, and methanogenic archaea were less abundant. Most strikingly, reductive acetogenic bacteria were 12-fold more abundant in the cecum, and genome-resolved analysis unveiled that cecum acetogens are both phylogenetically and functionally novel. Two in vitro experiments further supported that the pathways of hydrogen metabolism differ between the cecum and the rumen, with increased acetate production and reduced methanogenesis in the cecum. Moreover, a comparative analysis showed a strong enrichment of reductive acetogens in the hindguts of other ruminants. Conclusions These findings, by revealing an enrichment of acetogenesis in an important part of the gastrointestinal tract, reshape our understanding of ruminant hydrogen metabolism and how the H2 can be managed in accord to livestock methane mitigation efforts.
AI snapshot
Written from the paper’s full text.
TL;DR
The study comparatively profiled the rumen and cecum microbiomes of goats and found that reductive acetogenesis is enriched and active in the hindgut, with higher dissolved H2 and acetate in the cecum than in the rumen. Comparative metagenomic analysis across multiple ruminants further indicated that acetogens are consistently enriched in hindguts.
Key findings
- Cecal digesta had four-fold higher dissolved H2 (p < 0.001), higher total VFAs (p < 0.01), higher acetate concentration and molar proportion (p < 0.001), but lower propionate (p < 0.01) and butyrate (p < 0.001) molar proportions than rumen digesta.
- The cecum had 6.7-fold lower total bacteria (p < 0.01) and 2.8-fold lower methanogens (p < 0.01), but the methanogen-to-bacteria ratio was higher (3.1% vs 1.3%).
- The reductive acetogenesis marker gene acsB was 12-fold more abundant in the cecum than in the rumen (p < 0.001), and nine Wood-Ljungdahl pathway genes were enriched in the cecum.
- Across ruminants, cecal enrichment of acsB relative to rumen was 22-fold in dairy cows, 58-fold in goats, 111-fold in roe deer, 14-fold in sheep, ten-fold in water buffalo, 133-fold in water deer, and 20-fold in yak (p < 0.001).
Methods
- Sixteen healthy goats (average body weight 19.1 ± 2.75 kg) were sampled before morning feeding; rumen and cecum digesta and epithelium were used for pH, dissolved H2, VFA, microbial DNA, and tissue RNA measurements.
- Microbial profiling used 16S rRNA gene amplicon sequencing, qPCR, shotgun metagenomics, metagenomic binning (2358 nonredundant MAGs; 2324 bacterial, 34 methanogenic), CAZyme and hydrogenase/terminal reductase annotation, and genome-resolved phylogenetic analysis.
- Two in vitro experiments compared rumen and cecal inocula: Experiment 1 used corn stover as substrate for 72 h, and Experiment 2 measured headspace H2 utilization and methane production over 48 h without added substrate; statistical tests included paired t-tests and Wilcoxon rank-sum tests with FDR adjustment.
Limitations
- The paper does not state a dedicated limitations section.
- The main in situ evidence comes from goats; extension to other ruminants relies on comparative metagenomic data from a previous study rather than direct in situ measurements in those species.
- The authors note that acetogens from the hindgut still need to be isolated and their metabolic features investigated, and they caution that some glycoside hydrolase fold changes were numerically close to unity and would need enzyme activity verification.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
7 of 16 cited sources checked · 4 supported · 0 flagged · accuracy not yet measured
- Findingcitation
Linear discriminant analysis identified 15 key bacterial genera differentially abundant between the rumen and cecum.
“Linear discriminant analysis (LDA) identified 15 key bacterial genera differentially abundance between the two gastrointestinal regions [29] (p < 0.001, Fig. 1M, Additional File S4).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [29] Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, et al. Metagenomic biomarker discovery and explanation. Genome Biol. 2011;12:R60. source
- Findingown data
Proteins involved in VFA absorption and intracellular pH regulation (HMGCS, HMGCL, ATPeV1B, BDH) were expressed at a higher level in the rumen than in the cecum.
“proteins involved in VFA absorption and intracellular pH regulation, including 3-hydroxy-3-methylglutaryl-CoA synthase (HMGCS), 3-hydroxy-3-methylglutaryl-CoA lyase (HMGCL), vacuolar H+ ATPase subunit B (ATPeV1B), and β-hydroxybutyrate dehydrogenase (BDH) [26–28], were expressed at a higher level in the rumen than in the cecum (p < 0.001, Fig. 1I).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [26] Yan L, Zhang B, Shen Z. Dietary modulation of the expression of genes involved in short-chain fatty acid absorption in the rumen epithelium is related to short-chain fatty acid concentration and pH in the rumen of goats. J Dairy Sci. 2014;97:5668–75. source
- cites [27] Laarman AH, Ruiz-Sanchez AL, Sugino T, Guan LL, Oba M. Effects of feeding a calf starter on molecular adaptations in the ruminal epithelium and liver of Holstein dairy calves. J Dairy Sci. 2012;95:2585–94. source
- cites [28] Xie F, Xu L, Wang Y, Mao S. Metagenomic Sequencing Reveals that High-Grain Feeding Alters the Composition and Metabolism of Cecal Microbiota and Induces Cecal Mucosal Injury in Sheep. MSystems. 2021;6:e00915–e921. source
The Results section on epithelial gene expression identifies HMGCS1, HMGCL, and BDH1/BDH2 as VFA-metabolism or ketogenesis genes, but lists different genes for VFA absorption and intracellular pH regulation; it does not address ATPeV1B. The rumen-versus-cecum expression comparison is presented after the citation as the citing paper’s own Fig. 1I result, so it is not assessed as a finding attributed to this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The increased acetate production and decreased methane production by the fiber-selected microbiome can be attributed to a greater community of reductive acetogens.
“Inoculation with fiber-selected microbiome showed the paradoxically increased acetate production with decreased methane production than starch-selected microbiome, and could be attributed to the greater community of reductive acetogens [41].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [41] Li QS, Wang R, Ma ZY, Zhang XM, Jiao JZ, Zhang ZG, et al. Dietary selection of metabolically distinct microorganisms drives hydrogen metabolism in ruminants. ISME J. 2022;16:1–12. source
- Premisecitation
Acetate production through reductive acetogenesis is an H2 sink.
“Acetate production during fermentative carbohydrate fermentation is accompanied by H2 release, whereas acetate production through reductive acetogenesis is an H2 sink [51].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [51] Ungerfeld EM. Metabolic Hydrogen Flows in Rumen Fermentation: Principles and Possibilities of Interventions. Front Microbiol. 2020;11:589. source
- Findingown data
Some CAZymes genes were more abundant in the rumen microbiome than in the cecum microbiome.
“some CAZymes genes were more abundant in the rumen microbiome (p < 0.01, Additional Fig. S6)”
Quote in the paperNot a substantial claim
- Findingown data
The signature gene for reductive acetogenesis (acetyl-CoA synthase, acsB) was 12-fold more abundant in the cecum than in the rumen.
“The signature gene for reductive acetogenesis (acetyl-CoA synthase, acsB, p < 0.001) was 12-fold more abundant in the cecum than in the rumen (Fig. 2C, Additional File S8).”
- Also stated in: § Results · plain
“Most strikingly, reductive acetogenic bacteria were 12-fold more abundant in the cecum.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
The group B [FeFe]-hydrogenases were abundant and highly enriched (eight-fold) in the cecum.
“The group B [FeFe]-hydrogenases were abundant and highly enriched (eight-fold) in the cecum.”
Quote in the paperNot a substantial claim - Findingown data
The rumen had a higher abundance of three starch-degrading enzymes (3.60-fold higher) than the cecum.
“along with three starch-degrading enzymes (p < 0.001, 3.60-fold higher; Additional Fig. S8, Additional File S6)”
Quote in the paperNot a substantial claim - Findingown data
The cecum exhibited a higher abundance of glycoside hydrolases degrading host-derived glycans (1.25-fold higher) than the rumen.
“Whereas the cecum exhibited a higher abundance of GHs degrading host-derived glycans (p < 0.05, 1.25-fold higher)”
Quote in the paperNot a substantial claim - Findingown data
Bacterial communities were distinct between the rumen and cecum (PCoA based on Bray-Curtis dissimilarity, p < 0.001).
“Principal coordinates analysis (PCoA) based on Bray–Curtis dissimilarity revealed distinct bacterial communities (p < 0.001) between the rumen and cecum (Additional Fig. S3).”
Quote in the paperNot a substantial claim - Findingown data
The cecum contained a higher concentration of total volatile fatty acids than the rumen.
“it contained a higher concentration of total VFAs (p < 0.01)”
Quote in the paperSubstantial claim - Findingown data
The cecum and rumen microbiomes differed in the abundance of genes related to VFA production from carbohydrates.
“Additionally, the cecum and the rumen microbiomes differed in the abundance of genes related to VFA production from carbohydrates (Additional Fig. S8).”
Quote in the paperSubstantial claim - Findingown data
The rumen microbiome showed a greater abundance of three key genes involved in propionate production via the succinate pathway (fumA, sucC, and MCEE).
“and three key genes involved in propionate production via the succinate pathway (i.e., fumA, sucC, and MCEE genes, p < 0.001)”
Quote in the paperNot a substantial claim - Findingown data
We detected 34 methanogenic MAGs classified into two archaeal phyla, Methanobacteriota and Halobacteriota.
“we detected 34 methanogenic MAGs classified into two archaeal phyla, Methanobacteriota (primarily Methanobrevibacter spp.) and Halobacteriota (primarily Methanocorpusculum spp.)”
Quote in the paperNot a substantial claim - Findingown data
The cecum had a lower molar proportion of propionate than the rumen.
“but a lower molar proportion of propionate (p < 0.01)”
Quote in the paperNot a substantial claim - Findingown data
The enrichment of reductive acetogenesis was reflected by increased levels of nine genes of the Wood-Ljungdahl pathway (fhs, acsB, acsC, acsD, acsE, cooS, metF, fchA, folD).
“This enrichment of reductive acetogenesis is also reflected by increased levels of nine genes (i.e., fhs, acsB, acsC, acsD, acsE, cooS, metF, fchA, folD) of the Wood-Ljungdahl pathway (Additional Fig. S9, Additional File S7).”
Quote in the paperSubstantial claim - Findingown data
The cecum had a higher abundance of α-N-acetylgalactosaminidase GH123 than the rumen.
“including α-N-acetylgalactosaminidase GH123 (p < 0.05, Fig. 2A; Additional Fig. S7, Additional File S6)”
Quote in the paperNot a substantial claim - Findingown data
Dissolved H2 concentrations positively correlated with several genera of microbes, particularly Christensenellaceae R7, Monoglobus, and unclassified Ruminococaceae.
“Dissolved H2 concentrations were also exhibited a positive correlation with several genera of microbes, particularly Christensenellaceae R7, Monoglobus, and unclassified Ruminococaceae (Additional Fig. S5).”
Quote in the paperNot a substantial claim - Findingown data
The rumen microbiome showed a greater abundance of six key genes involved in butyrate production (crt, fabV, atoA, atoD, ptb, and buk).
“whereas the rumen microbiome showed a greater abundance of six key genes involved in butyrate production (i.e., crt, fabV, atoA, atoD, ptb, and buk genes, p < 0.001)”
Quote in the paperNot a substantial claim - Findingown data
The rumen had a higher abundance of β-xylosidase GH43 than the cecum.
“such as β-xylosidase GH43 (p < 0.001, Fig. 2A; Additional Fig. S7, Additional File S6)”
Quote in the paperNot a substantial claim - Findingown data
The cecum contained a significantly lower population of total bacteria (6.7-fold lower) than the rumen.
“Compared to the rumen, the cecum contained a significantly lower population of total bacteria (6.7-fold lower, p < 0.01, Fig. 1J)”
Quote in the paperNot a substantial claim - Findingown data
The rumen microbiome encoded a greater proportion of genes involved in nitrate ammonification (nrfA and narG, 51-fold and ten-fold higher) than the cecum.
“nitrate ammonification (ammonia-forming nitrite reductase, nrfA and dissimilatory nitrate reductase, narG, p < 0.001, 51-folder and ten-folder higher)”
Quote in the paperNot a substantial claim - Findingown data
The cecum contained a significantly lower population of archaeal methanogens (2.8-fold lower) than the rumen.
“and archaeal methanogens (2.8-fold lower, p < 0.01, Fig. 1K)”
Quote in the paperSubstantial claim - Findingown data
Several other hydrogenases were more enriched in the cecum (sensory group C1 and C3 [FeFe]-, energy-converting group 4g [NiFe]-, and hypothetical group A2 [FeFe]-hydrogenases).
“Additionally, several other hydrogenases were also more enriched in the cecum (sensory group C1 and C3 [FeFe]-, energy-converting group 4g [NiFe]-, and hypothetical group A2 [FeFe]-hydrogenases (p < 0.001, Fig. 2C, Additional File S8).”
Quote in the paperNot a substantial claim - Findingown data
In situ measurements showed significantly higher levels of dissolved hydrogen in the cecum than in the rumen.
“Measurement of dissolved H2 (dH2), a central electron carrier produced during fermentation and mainly consumed by methanogens in the rumen [3], revealed a four-fold higher dH2 concentration in the cecum compared to the rumen (p < 0.001, Fig. 1D).”
- Also stated in: § Results · plain
“In situ measurements showed significantly higher levels of dissolved hydrogen and acetate in the cecum than in the rumen.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
The cecum had a lower molar proportion of butyrate than the rumen.
“and butyrate (p < 0.001)”
Quote in the paperNot a substantial claim - Findingown data
Transcriptomic analysis identified 2276 differentially expressed genes (fold-change > 2, p < 0.05) in the epithelia of the rumen and cecum.
“Transcriptomic analysis identified 2276 differentially expressed genes (fold-change > 2, p < 0.05) in the epithelia of the rumen and cecum (Additional File S1).”
Quote in the paperNot a substantial claim - Findingown data
The cecum microbiome had a greater abundance of four key genes involved in fermentative acetate production (porA, porD, porG, and ackA).
“The cecum microbiome had a greater abundance of four key genes involved in fermentative acetate production (i.e., porA, porD, porG, and ackA, p < 0.05)”
Quote in the paperSubstantial claim - Findingown data
The rumen and cecum metagenomes exhibited distinct carbohydrate-active enzymes (CAZymes).
“These two types of metagenomes exhibited distinct CAZymes as demonstrated by PCoA”
Quote in the paperNot a substantial claim - Findingown data
A total of 16,883 gene sequences were annotated as hydrogenase, distributed among 306 microbial genera across 23 phyla.
“A total of 16,883 gene sequences were annotated as hydrogenase, which were distributed among 306 microbial genera across 23 phyla (Additional File S8).”
Quote in the paperNot a substantial claim - Findingown data
The cecum had a higher ratio of methanogens to bacteria (3.1% vs 1.3%) than the rumen.
“but a higher ratio of methanogens to bacteria (3.1% vs 1.3%)”
Quote in the paperNot a substantial claim - Findingown data
The rumen microbiome encoded a greater proportion of genes involved in fumarate reduction (fumarate reductase, frdA, 2-fold higher) than the cecum.
“In contrast, the rumen microbiome encoded a greater proportion of genes involved in fumarate reduction (fumarate reductase, frdA, p < 0.001, 2-folder higher)”
Quote in the paperNot a substantial claim - Findingown data
The capacity for methanogenesis appeared to be similar between the rumen and cecum, as indicated by the similar abundance of genes encoding methyl-CoM reductase and methanogen-specific hydrogenases.
“The capacity for methanogenesis appeared to be similar between these two regions, as indicated by the similar abundance of genes encoding methyl-CoM reductase and methanogen-specific hydrogenases ([Fe]-hydrogenases, groups 3a, 3c, and 4i [NiFe]-hydrogenases) (Fig. 2C, Additional File S8, Additional Fig. S10, Additional File S8).”
Quote in the paperNot a substantial claim - Findingown data
Two-thirds of the MAGs carried hydrogenase genes.
“Two-thirds of the MAGs carried hydrogenase genes, encompassing a wide range of subgroups.”
Quote in the paperNot a substantial claim - Findingown data
In in vitro incubations with corn stover, rumen inocula had a higher molar proportion of propionate than cecum inocula.
“Further analysis of the VFA profiles indicated that rumen inocula had a higher molar proportion of propionate whereas the cecum inocula resulted in a higher molar proportion of acetate with a concurrently increased acetate-to-propionate ratio (p < 0.05, Fig. 5A).”
Quote in the paperNot a substantial claim - Findingown data
The HGM12587 MAGs lacked the genes involved in the further conversion of acetyl-CoA to acetate.
“The HGM12587 MAGs also lacked the genes involved in the further conversion of acetyl-CoA to acetate.”
Quote in the paperSubstantial claim - Findingown data
Fermentative acetate-producing bacteria were enriched in the cecum (e.g., MAG587, MAG985).
“Additionally, fermentative acetate-producing bacteria were enriched in the cecum (e.g., MAG587, MAG985).”
Quote in the paperNot a substantial claim - Findingown data
Nearly all detected acetogens were assigned to the class Clostridia.
“The taxonomic classification assigned nearly all detected acetogens to the class Clostridia.”
Quote in the paperNot a substantial claim - Findingown data
Other genes encoding key enzymes involved in the Wood-Ljungdahl pathway are highly abundant in the cecal microbiome.
“The enrichment of reductive acetogenesis in the cecal microbiome was further supported by a high abundance of other genes encoding key enzymes involved in the Wood-Ljungdahl pathway (Additional File S13).”
Quote in the paperNot a substantial claim- Rests on an assumption: A high abundance of genes encoding key enzymes of the Wood-Ljungdahl pathway indicates enrichment of reductive acetogenesis.
- Findingown data
The cecum was enriched with MAGs predicted to produce H2 using the electron-confurcating trimeric group A3 [FeFe]-hydrogenases (e.g., MAG264) and the fermentative group B [FeFe]-hydrogenases (e.g., MAG270).
“The cecum was enriched with MAGs predicted to produce H2 using the electron-confurcating trimeric group A3 [FeFe]-hydrogenases (e.g., MAG264) and the fermentative group B [FeFe]-hydrogenases (e.g., MAG270).”
Quote in the paperSubstantial claim - Findingown data
The cecum acetogens are both phylogenetically and functionally distinct from those found in the rumen.
“Genome-resolved metagenomic analysis unveiled that the cecum acetogens are both phylogenetically and functionally distinct from those found in the rumen.”
Quote in the paperSubstantial claim - Findingown data
The H2-dependent carbon dioxide reductase (HDCR) was absent in all but one MAG (MAG2125).
“The H2-dependent carbon dioxide reductase (HDCR) [47–49] was absent in all but one MAG (MAG2125)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [47] Schuchmann K, Müller V. Direct and Reversible Hydrogenation of CO2 to Formate by a Bacterial Carbon Dioxide Reductase. Science. 2013;342:1382–5. source
- cites [48] Dietrich HM, Righetto RD, Kumar A, Wietrzynski W, Trischler R, Schuller SK, et al. Membrane-anchored HDCR nanowires drive hydrogen-powered CO2 fixation. Nature. 2022;607:823–30. source
- cites [49] Müller V. New Horizons in Acetogenic Conversion of One-Carbon Substrates and Biological Hydrogen Storage. Trends Biotechnol. 2019;37:1344–54. source
- Findingown data
In the first in vitro experiment, cecum inocula exhibited greater H2 accumulation than rumen inocula.
“whereas the cecum inocula exhibited greater H2 accumulation (p < 0.05, Fig. 5A)”
Quote in the paperSubstantial claim - Findingown data
Nine acetogenic MAGs obtained from this study lack cultured representatives, spanning five new genera: SIG483 and RGIG7114 from the family Oscillospiraceae and HGM12587, SIG280, and RGIG5612 from the family Lachnospiraceae.
“Genome-based phylogenetic analysis showed that these MAGs lack cultured representatives, spanning five new genera, namely SIG483 and RGIG7114 from the family Oscillospiraceae and HGM12587, SIG280, and RGIG5612 from the family Lachnospiraceae (Fig. 4A, Additional File S12).”
Quote in the paperSubstantial claim - Findingown data
MAGs encoding H2-producing [FeFe]-hydrogenases were particularly prevalent, with 1488 MAGs (63% of the total) identified in both gastrointestinal regions.
“MAGs encoding H2-producing [FeFe]-hydrogenases were particularly prevalent, with 1488 MAGs (63% of the total) identified in both gastrointestinal regions (Fig. 3A, Additional File S10, and S11).”
Quote in the paperNot a substantial claim - Findingown data
Bray-Curtis analysis confirmed that the acetogenic communities of the rumen and cecum were distinct.
“The Bray–Curtis analysis confirmed that the two communities were distinct (p < 0.001, Additional Fig. S13)”
Quote in the paperNot a substantial claim - Findingown data
Comparative analysis across multiple ruminant species confirmed a strong enrichment of reductive acetogens in the hindguts.
“Moreover, comparative analysis across multiple ruminant species confirmed a strong enrichment of reductive acetogens in the hindguts, suggesting a conserved functional role.”
Quote in the paperSubstantial claim - Findingown data
Putative reductive acetogens from the class Clostridia were enriched in the cecum microbiome, each encoding both [FeFe]-hydrogenases and the acetyl-CoA synthase.
“Notably, putative reductive acetogens from the class Clostridia were enriched in the cecum microbiome, each encoding both [FeFe]-hydrogenases and the acetyl-CoA synthase (p < 0.001, Fig. 3B, Additional File S11).”
Quote in the paperSubstantial claim - Findingown data
The cecum is enriched with H2-producing fermentative bacteria.
“Additionally, the cecum is enriched with H2-producing fermentative bacteria and novel lineages of reductive acetogens that convert formate to acetate.”
Quote in the paperSubstantial claim - Findingreasoning
MAGs classified as acetogens are enriched in the cecal microbiome.
“This aligns with the enrichment MAGs classified as acetogens in the cecal microbiome.”
Quote in the paperSubstantial claim - Interpretationown data
The predominance of reductive acetogenesis was consistent with the higher molar proportion of acetate and acetate to propionate ratio in the cecum.
“Compared to the rumen, such predominance of reductive acetogenesis was consistent with the higher molar proportion of acetate and acetate to propionate ratio in the cecum (Fig. 1F).”
Quote in the paperSubstantial claim - Interpretationown data
These results suggest that the cecum may select for microorganisms that favor fermentative acetate production by enriching glycoside hydrolases hydrolyzing host glycans.
“These results suggest that the cecum may select for microorganisms that favor fermentative acetate production by enriching GHs hydrolyzing host glycans.”
Quote in the paperSubstantial claim - Interpretationreasoning
These differentially enriched taxa may contribute to the differential electron flows and H2 metabolism observed between the rumen and the cecum.
“Thus, these differentially enriched taxa may contribute to the differential electron flows and H2 metabolism observed between the rumen and the cecum.”
Quote in the paperNot a substantial claim - Interpretationown data
These results further confirm the greater capacity of hydrogenotrophic methanogenesis for the rumen microbiome.
“These results further confirm the greater capacity of hydrogenotrophic methanogenesis for rumen microbiome.”
Quote in the paperSubstantial claim - Interpretationreasoning
The rumen shows a greater capacity for hydrogenotrophic methanogenesis than the cecum.
“The rumen shows a greater capacity for fiber degradation, propionate formation, and hydrogenotrophic methanogenesis; this is reflected in lower dH2 concentrations in the foregut, likely attributed to enhanced H2 consumption by methanogenesis and reduction of fumarate, nitrate, and sulfate.”
Quote in the paperNot a substantial claim - Interpretationown data
The cecum has a higher capacity for utilizing host-derived glycans than the rumen, evidenced by the enrichment of mucin-degrading bacteria.
“In contrast, the cecum has a higher capacity for utilizing host-derived glycans, evidenced by the enrichment of mucin-degrading bacteria.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Lower dH2 concentrations in the foregut are likely attributed to enhanced H2 consumption by methanogenesis and reduction of fumarate, nitrate, and sulfate.
“this is reflected in lower dH2 concentrations in the foregut, likely attributed to enhanced H2 consumption by methanogenesis and reduction of fumarate, nitrate, and sulfate.”
Quote in the paperSubstantial claim - Interpretationown data
The results suggest a generalized phenomenon of more significant enrichment of reductive acetogenesis in ruminants' cecum.
“Collectively, these results suggest a generalized phenomenon of more significant enrichment of reductive acetogenesis in ruminants’ cecum.”
Quote in the paperSubstantial claim - Interpretationown data
Reductive acetogenesis is a dominant process in the cecum microbiome.
“Collectively, our findings provide novel insights about distinct microbial community and dominant reductive acetogenesis in the cecum microbiome, and help to understand gastrointestinal energy harvesting strategies, hydrogenotrophic growth potential, and enteric methanogenesis in ruminants.”
Quote in the paperSubstantial claim - Interpretationnone given
The rumen shows a greater capacity for fiber degradation than the cecum.
“The rumen shows a greater capacity for fiber degradation, propionate formation, and hydrogenotrophic methanogenesis; this is reflected in lower dH2 concentrations in the foregut, likely attributed to enhanced H2 consumption by methanogenesis and reduction of fumarate, nitrate, and sulfate.”
Quote in the paperNot a substantial claim - Interpretationnone given
The rumen shows a greater capacity for propionate formation than the cecum.
“The rumen shows a greater capacity for fiber degradation, propionate formation, and hydrogenotrophic methanogenesis; this is reflected in lower dH2 concentrations in the foregut, likely attributed to enhanced H2 consumption by methanogenesis and reduction of fumarate, nitrate, and sulfate.”
Quote in the paperNot a substantial claim - Interpretationown data
Reductive acetogens have a conserved functional role in the hindguts of ruminants.
“suggesting a conserved functional role.”
Quote in the paperSubstantial claim - Interpretationreasoning
Formate, rather than CO2, is utilized in the Wood-Ljungdahl pathway by these organisms.
“suggesting formate, rather than CO2 is utilized in the Wood-Ljungdahl pathway by these organisms.”
Quote in the paperSubstantial claim - Interpretationreasoning
The enrichment of reductive acetogenesis in the cecal microbiome supports that heightened acetate production with reduced methane production by the cecal microbiome is due to reductive acetogenesis incorporating electrons into acetate, reducing H2 production for methanogenesis.
“Heightened acetate production with reduced methane production by the cecal microbiome is further supported by the enrichment of reductive acetogenesis in the cecal microbiome, which might have incorporated electrons into reductive acetate production, leading to a reduced H2 production for methanogenesis.”
Quote in the paperSubstantial claim - Interpretationown data
The cecum is enriched with novel lineages of reductive acetogens that convert formate to acetate.
“Additionally, the cecum is enriched with H2-producing fermentative bacteria and novel lineages of reductive acetogens that convert formate to acetate.”
Quote in the paperSubstantial claim
- May combine two claims. 35
- Classified as probably not a substantial claim. 11
- The quote only partly states this claim. 4
May combine two claims.
InterpretationreasoningThese findings suggest that the cecum favors reductive acetogenesis over hydrogenotrophic respiration, consistent with the higher concentration of dH2 in the cecum, which can enhance the competitiveness of reductive acetogenesis.
“Altogether, these findings suggest that the cecum favors reductive acetogenesis over hydrogenotrophic respiration, consistent with the higher concentration of dH2 in the cecum (Fig. 1D), which can enhance the competitiveness of reductive acetogenesis [42, 43].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [42] Ungerfeld EM. A theoretical comparison between two ruminal electron sinks. Front Microbiol. 2013;4:319. source
- cites [43] Ma ZY, Zhang XM, Wang M, Wang R, Jiang ZY, Tan ZL, et al. Molecular hydrogen produced by elemental magnesium inhibits rumen fermentation and enhances methanogenesis in dairy cows. J Dairy Sci. 2019;102:5566–76. source
Classified as probably not a substantial claim.
PremisecitationElevated fermentative acetate production is consistently associated with an increase in methane production.
“Generally, elevated fermentative acetate production is consistently associated with an increase in methane production [52, 53].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [52] Wang M, Wang R, Xie TY, Janssen PH, Sun XZ, Beauchemin KA, et al. Shifts in Rumen fermentation and microbiota are associated with dissolved ruminal hydrogen concentrations in lactating dairy cows fed different types of carbohydrates. J Nutr. 2016;146:1714–21. source
- cites [53] Beauchemin KA, Ungerfeld EM, Eckard RJ, Wang M. Review: Fifty years of research on rumen methanogenesis: lessons learned and future challenges for mitigation. Animal. 2020;14:s2–16. source
The “Rumen fermentation and microbiome associated with methanogenesis” section (page unavailable) explains that fermentation to volatile fatty acids releases hydrogen, much of which methanogens use to produce methane. It does not establish that elevated fermentative acetate production is consistently associated with increased methane production; it also distinguishes reductive acetate formation as an alternative hydrogen sink. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationAcetate production during fermentative carbohydrate fermentation is accompanied by H2 release.
“Acetate production during fermentative carbohydrate fermentation is accompanied by H2 release, whereas acetate production through reductive acetogenesis is an H2 sink [51].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [51] Ungerfeld EM. Metabolic Hydrogen Flows in Rumen Fermentation: Principles and Possibilities of Interventions. Front Microbiol. 2020;11:589. source
The Background section on volatile fatty acid balances says acetate production from glucose releases metabolic hydrogen ([H]), but it does not establish that H2 is always released: it also identifies an acetate-producing pathway with no net [H] production. The Background section on other hydrogen-incorporating pathways explicitly describes reductive acetogenesis as using H2 to produce acetate, supporting the sentence’s second clause. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe 2324 bacterial MAGs were distributed across 19 phyla, with Firmicutes (1463 MAGs), Bacteroidota (637 MAGs), and Spirochaetota (70 MAGs) being the most predominant.
“The 2324 bacterial MAGs were distributed across 19 phyla, with Firmicutes (represented by 1463 MAGs), Bacteroidota (637 MAGs), and Spirochaetota (70 MAGs) being the most predominant (Fig. 3A, Additional File S9).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe rumen had a higher abundance of glycoside hydrolases degrading cellulose (3.80-fold higher) and hemicellulose (3.45-fold higher) than the cecum.
“The rumen had a higher abundance GHs degrading cellulose (p < 0.001, 3.80-fold higher) and hemicellulose (p < 0.001, 3.45-fold higher)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe cecum had a slightly higher pH than the rumen.
“Although the cecum had a slightly higher pH (p < 0.001, Fig. 1C)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAt the phylum level, Bacteroidota and Spirochaetota were enriched in the rumen, whereas Firmicutes, Verrucomicrobiota, Proteobacteria, and Actinobacteriota were relatively more abundant in the cecum.
“At the phylum level, Bacteroidota and Spirochaetota were enriched in the rumen microbiota, whereas Firmicutes, Verrucomicrobiota, Proteobacteria, and Actinobacteriota were relatively more abundant in the cecum microbiota (p < 0.001, Fig. 1L, Additional File S3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe cecum was enriched with MAGs classified as Faecousia, Akkermansia, and Alistipes, and these MAGs encoded GH123, a GH enzyme involved in hydrolyzing host glycans.
“Notably, the cecum was enriched with MAGs classified as Faecousia, Akkermansia, and Alistipes, and these MAGs encoded GH123, a GH enzyme involved in hydrolyzing host glycans (p < 0.05, Fig. 3B, Additional File S10).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingown dataMetagenomic binning yielded 2358 medium- or higher-quality metagenome-assembled genomes (MAGs, completeness ≥ 50% and contamination ≤ 10%) after quality control and dereplication.
“we performed metagenomic binning, yielding 2358 medium- or higher-quality metagenome-assembled genomes (MAGs, completeness ≥ 50% and contamination ≤ 10%) after quality control and dereplication (Additional File S9).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe rumen was enriched in 17 glycoside hydrolases (e.g., GH2, GH10) and the cecum was enriched in 7 glycoside hydrolases (e.g., GH16, GH141) encoding hemicellulases.
“the rumen enriched in 17 GHs (e.g., GH2, GH10) and the cecum enriched in 7 GHs (e.g., GH16, GH141)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Findingown dataThe rumen microbiome encoded a greater proportion of genes involved in sulfate reduction (adenylylsulfate reductase, aprA, 7.4-fold higher) than the cecum.
“and sulfate reduction (adenylylsulfate reductase, aprA, p < 0.001, 7.4-folder higher)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe rumen displayed a greater abundance of sensory group C2 [FeFe]-hydrogenases (4.1-fold higher) and energy-converting 4e [NiFe]-hydrogenases (1.7-fold higher).
“In contrast, the rumen displayed a greater abundance of sensory group C2 [FeFe]-hydrogenases (4.1-fold higher) and energy-converting 4e [NiFe]-hydrogenases (1.7-fold higher) (p < 0.001, Fig. 2C, Additional File S8).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe rumen-enriched MAGs were assigned to Prevotella, Cryptobacteroides, Ruminococcus, and Butyrivibrio, and they mainly encode cellulases (e.g., GH3) and hemicellulases (e.g., GH43).
“In contrast, the rumen-enriched MAGs were assigned to Prevotella, Cryptobacteroides, Ruminococcus, and Butyrivibrio (p < 0.01), and they mainly encode cellulases (e.g., GH3) and hemicellulases (e.g., GH43) (Fig. 3B, Additional File S10).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost bacterial MAGs encoded glycoside hydrolases, with 80% encoding enzymes involved in cellulose degradation, 81% in hemicellulose degradation, and 72% in host glycan degradation.
“Most bacterial MAGs encoded GHs, with 80% encoding enzymes involved in the degradation of cellulose (80% MAGs), hemicellulose (81%), and host glycans (72%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe most abundant family of CAZymes in both the rumen and cecum was glycoside hydrolases (GH).
“The most abundant family of CAZymes in both regions were glycoside hydrolases (GH) (Additional File S5)”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataGPR43 protein expression is reduced in cecum papillae compared to the rumen.
“Immunofluorescent staining revealed reduced levels of GPR43 in cecum papillae (Fig. 1G)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRuminococcaceae UCG-005 and Christensenellaceae R7 were the most abundant and representative cecal genera.
“Ruminococcaceae UCG-005 and Christensenellaceae R7 were the most abundant and representative cecal genera (Additional Fig. S4)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHalobacteriota MAGs were distributed in both regions but were enriched in the cecum.
“while Halobacteriota MAGs were distributed in both regions, they were enriched in the cecum”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataAcetate levels positively correlated with Ruminococcaceae UCG-005, Christensenellaceae R7, and several other genera, with the strongest correlation with Akkermansia, Bacteroidales UCG_010_ge, Ruminococcaceae UCG_002, and unclassified Lachnospiraceae.
“Acetate levels positively correlated with these two genera and several other genera, with the strongest correlation with Akkermansia, Bacteroidales UCG_010_ge, Ruminococcaceae UCG_002, and unclassified Lachnospiraceae (Additional Fig. S5).”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataThe cecum had a higher concentration and molar proportion of acetate than the rumen.
“In situ measurements showed significantly higher levels of dissolved hydrogen and acetate in the cecum than in the rumen.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe trimeric group A3 [FeFe]-hydrogenases were the most abundant in both gastrointestinal regions and were highly enriched in the cecum.
“The trimeric group A3 [FeFe]-hydrogenases (identified based on the presence of genes encoding the bifurcating hydrogenase subunit hydA and diaphorase subunit hydB) were the most abundant in both gastrointestinal regions and were highly enriched in the cecum (Fig. 2C).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataReductive acetogens were particularly abundant in the cecum of dairy cattle and buffalo, while water deer exhibited relatively lower abundance.
“Notably, reductive acetogens were particularly abundant in the cecum of dairy cattle and buffalo, while water deer exhibited relatively lower abundance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the rumen microbiome, the most enriched MAGs were Desulfovibrio and Succiniclasticum, capable of hydrogenotrophic sulfate and fumarate reduction, respectively.
“In the rumen microbiome, the most enriched were Desulfovibrio and Succiniclasticum MAGs capable of hydrogenotrophic sulfate and fumarate reduction, respectively (p < 0.001, Fig. 3B, Additional File S11).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA greater number of acetogens were enriched in the cecum, where 15 MAGs (e.g., HGM12587 and SIG483) were enriched in the cecum and 9 others (e.g., SIG280 and RGIG7114) were enriched in the rumen.
“with a greater number of acetogens enriched in the cecum, where 15 MAGs (e.g., HGM12587 and SIG483) enriched in the cecum and 9 others (e.g., SIG280 and RGIG7114) enriched in the rumen (Fig. 4A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe MAGs from each of the five novel genera encoded the complete set of enzymes of the Wood-Ljungdahl pathway, together with the group A3 [FeFe]-hydrogenase, Nfn transhydrogenase, and energy-converting Rnf or Ech enzymes.
“This is further supported by detailed annotation, which shows that the MAGs from each of the five novel genera encoded the complete set of enzymes of the Wood-Ljungdahl pathway, together with the group A3 [FeFe]-hydrogenase, Nfn transhydrogenase, and energy-converting Rnf or Ech enzymes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the second in vitro experiment, both rumen and cecal microbiomes significantly decreased H2 levels compared to the uninoculated control and increased headspace methane concentration, approaching an asymptote.
“Both rumen and cecal microbiomes significantly decreased H2 levels compared to the uninoculated control and increased headspace methane concentration, approaching an asymptote (p < 0.05, Fig. 5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA total of 300 MAGs (13%) encoded both H2-consuming hydrogenases and terminal reductases, including those involved in reductive acetogenesis (52 MAGs), fumarate reduction (176 MAGs), nitrate ammonification (34 MAGs), and sulfate reduction (65 MAGs).
“A total of 300 MAGs (13%) encoded both H2-consuming hydrogenases and terminal reductases, including those involved in reductive acetogenesis (52 MAGs), fumarate reduction (176 MAGs), nitrate ammonification (34 MAGs), and sulfate reduction (65 MAGs) (Additional File S11).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the first in vitro experiment with corn stover as substrate, rumen inocula demonstrated increased dry matter degradability, VFA concentrations, and methane production compared to cecum inocula.
“In the first experiment, corn stover served as the substrate, the rumen inocula demonstrated increased dry matter degradability (DMD), VFA concentrations, and methane production, whereas the cecum inocula exhibited greater H2 accumulation (p < 0.05, Fig. 5A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTwo in vitro experiments demonstrated a marked difference in hydrogen metabolism pathways between the cecum and the rumen, with increased acetate production and reduced methanogenesis in the cecum.
“Further supporting these findings, two in vitro experiments demonstrated a marked difference in hydrogen metabolism pathways between the cecum and the rumen, with increased acetate production and reduced methanogenesis in the cecum.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThese organisms encoded either one or two copies of the canonical acetyl-CoA synthase gene, suggesting their potential to mediate acetogenesis.
“a phylogenetic tree based on the AcsB sequences revealed that these organisms encoded either one or two copies of the canonical acetyl-CoA synthase gene, suggesting their potential to mediate acetogenesis (Fig. 4B).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningInoculation with fiber-selected microbiome resulted in increased acetate production and decreased methane production compared to starch-selected microbiome.
“Inoculation with fiber-selected microbiome showed the paradoxically increased acetate production with decreased methane production than starch-selected microbiome, and could be attributed to the greater community of reductive acetogens [41].”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe cecum harbors a greater abundance of mucin-degrading microbes and fermentative hydrogen producers, whereas the rumen contains a higher abundance of fibrolytic fermentative bacteria, hydrogenotrophic respiratory bacteria, and methanogenic archaea.
“Microbial profiling indicated that the cecum harbors a greater abundance of mucin-degrading microbes and fermentative hydrogen producers, whereas the rumen contains a higher abundance of fibrolytic fermentative bacteria, hydrogenotrophic respiratory bacteria, and methanogenic archaea.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter 48 h of incubation, the rumen microbiota consumed more gaseous H2 and produced more methane than the cecum microbiome.
“After 48 h of incubation, the rumen microbiota consumed more gaseous H2 and produced more methane than the cecum microbiome (p < 0.05, Fig. 5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe acsB gene is significantly enriched in the cecal microbiomes of all examined ruminants relative to their rumen microbiome (p < 0.001), by 22-fold in dairy cows, 58-fold in goats, 111-fold in roe deer, 14-fold in sheep, ten-fold in water buffalo, 133-fold in water deer, and 20-fold in yak.
“Our comparative analysis revealed a significant enrichment of the acsB gene a marker signature gene of the reductive acetogenesis pathway in the cecal microbiomes of all the ruminants relative to their rumen microbiome (p < 0.001): by 22-fold in dairy cows, 58-fold in goats, 111-fold in roe deer, 14-fold in sheep, ten-fold in water buffalo, 133-fold in water deer, and 20-fold in yak (Fig. 6A).”
Quote in the paperSubstantial claim- Rests on an assumption: acsB is a marker signature gene of the reductive acetogenesis pathway.
May combine two claims.
Findingown dataIn in vitro incubations with corn stover, cecum inocula resulted in a higher molar proportion of acetate and a higher acetate-to-propionate ratio than rumen inocula.
“Further analysis of the VFA profiles indicated that rumen inocula had a higher molar proportion of propionate whereas the cecum inocula resulted in a higher molar proportion of acetate with a concurrently increased acetate-to-propionate ratio (p < 0.05, Fig. 5A).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese findings suggest elevated H2 production and distinct H2 cycling processes in the cecum, which aligns with observed higher dH2 concentrations in the cecal samples.
“Altogether, these findings suggest elevated H2 production and distinct H2 cycling processes in the cecum, which aligns with observed higher dH2 concentrations detected in the cecal samples (Fig. 1D).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIncreased dissolved hydrogen concentrations indicate distinct processes and reduced coupling between fermentative H2 production and utilization in the cecum.
“Such significantly increased dH2 concentrations indicate distinct processes and reduced coupling between fermentative H2 production and utilization in the cecum.”
- Also stated in: § Results · hedged
“Increased dissolved hydrogen indicated distinct processes and reduced coupling between fermentative H2 production and utilization”
Quote in the paperSubstantial claim- Also stated in: § Results · hedged
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRuminants rely on mutualistic microbes in their digestive system to convert plant biomass to volatile fatty acids, which serve as the primary energy source for ruminants.
“These microbes enable ruminants to derive most of their energy and nutrients from otherwise indigestible fibrous plant cell wall materials [2, 3].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [2] Pérez-Barbería FJ. The Ruminant: Life History and Digestive Physiology of a Symbiotic Animal. In: García-Yuste S, editor. Sustainable and Environmentally Friendly Dairy Farms. Cham: Springer International Publishing; 2020:19–45. source
- cites [3] Mizrahi I, Wallace RJ, Moraïs S. The rumen microbiome: balancing food security and environmental impacts. Nat Rev Microbiol. 2021;19:553–66. source
May combine two claims.
Interpretationown dataVFA absorption through cecal papillae is probably slower than through rumen papillae, explaining the relatively higher VFA concentration in the cecum at least in part.
“These results indicate that VFA absorption through cecal papillae is probably slower than that through the rumen papillae, explaining the relatively higher VFA concentration in the cecum, at least in part.”
- Also stated in: § Results · hedged
“higher levels of acetate could be caused by slower VFA absorption through cecal papillae than through the rumen papillae”
Quote in the paperSubstantial claim- Also stated in: § Results · hedged
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenMAGs with a completeness of at least 50% and a contamination rate of at most 10% were retained and dereplicated at a 99% average nucleotide identity cutoff.
“The MAGs with a completeness of ≥ 50% and a contamination rate of ≤ 10% (3439 MAGs) were then dereplicated using dRep [67] (version 3.3.0) at a 99% average nucleotide identity (ANI) cutoff.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Interpretationown dataAcetogenesis is enriched in the cecum, a key region of the gastrointestinal tract.
“These findings highlight an enrichment of acetogenesis in a key region of the gastrointestinal tract”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll p values were adjusted for FDR using the Benjamini-Hochberg method.
“All p values were adjusted for FDR using the Benjamini–Hochberg method.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese results point to distinct microbes selected in the rumen and the cecum that utilize different pathways of H2 metabolism, with acetogenesis likely being a significant H2 sink within the cecal microbiome.
“These results point to distinct microbes selected in the rumen and the cecum that utilize different pathways of H2 metabolism, with acetogenesis likely being a significant H2 sink within the cecal microbiome.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese findings indicate that the rumen microbiome possesses a greater capacity for fiber degradation and hydrogenotrophic methanogenesis, leading to lower H2 accumulation.
“These findings indicate that the rumen microbiome possesses a greater capacity for fiber degradation and hydrogenotrophic methanogenesis, leading to lower H2 accumulation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor CAZymes annotation, a query was accepted only if all three approaches (DIAMOND, dbCAN_sub, and dbCAN) reported the same match.
“A query was acceptable only if all three approaches (DIAMOND, dbCAN_sub, and dbCAN), reported the same match.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The cecal microbiome remains much less investigated and understood than the rumen microbiome, especially concerning the assembling microbial communities and overriding pathways of hydrogen metabolism.
“While the rumen microbiome has been extensively studied, the cecal microbiome remains much less investigated and understood, especially concerning the assembling microbial communities and overriding pathways of hydrogen metabolism.”
The paper relies on this without support.
We currently lack a detailed species-resolved understanding of the processes and mediators controlling nutrient cycling between the rumen and the cecum.
“However, we currently lack a detailed species-resolved understanding of the processes and mediators controlling nutrient cycling between the two regions.”
The paper relies on this without support.
Most enteric methane produced in ruminants originates in the rumen rather than the hindgut.
“It is well-konwn that most of the enteric methane produced in ruminants originates in the rumen rather than the hindgut”
The paper relies on this without support.
Differences in the morphological and nutrient composition of the rumen and cecum select for compositionally and functionally distinct microbiota.
“Differences in the morphological and nutrient composition of rumen and cecum likely select for compositionally and functionally distinct microbiota.”
The paper relies on this without support.
acsB is a marker signature gene of the reductive acetogenesis pathway.
“the acsB gene a marker signature gene of the reductive acetogenesis pathway”
The paper relies on this without support.
A high abundance of genes encoding key enzymes of the Wood-Ljungdahl pathway indicates enrichment of reductive acetogenesis.
“The enrichment of reductive acetogenesis in the cecal microbiome was further supported by a high abundance of other genes encoding key enzymes involved in the Wood-Ljungdahl pathway (Additional File S13).”
The paper relies on this without support.
The rumen and cecum are the two primary fermentation sites of ruminants.
“the two primary fermentation sites of ruminants”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting incubation times for the first experiment's VFA samples
MinorFigure 5 describes VFA profiles from the corn-stover experiment after 72 hours, but the methods say liquid samples from the in vitro experiments were collected after 48 hours. The stated collection time for those VFA samples is therefore inconsistent.
“A Feed degradation, methane (CH4) production, gaseous hydrogen (gH2) accumulation, and VFA profiles after 72-h in vitro incubation with corn stover as a substrate.”
“Liquid samples of the in vitro experiments were collected after incubation for 48 h.”
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · see citing works
IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies
Nguyen, L.-T., Schmidt, H. A., von Haeseler, A., & Minh, B. Q. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msu300 · Cited by 26,046 · see citing works
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192 · see citing works
Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
Kim, D., Paggi, J. M., Park, C., Bennett, C., & Salzberg, S. L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0201-4 · Cited by 15,022 · see citing works
Fast and sensitive protein alignment using DIAMOND
Buchfink, B., Xie, C., & Huson, D. H. (2015) · Nature Methods · doi:10.1038/nmeth.3176 · Cited by 14,201 · see citing works
trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses
Capella-Gutiérrez, S., Silla-Martinez, J., & Gabaldón, T. (2009) · Bioinform. · doi:10.1093/bioinformatics/btp348 · Cited by 12,052 · see citing works
Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation
Letunic, I., & Bork, P. (2021) · Nucleic Acids Res. · doi:10.1093/nar/gkab301 · Cited by 9,899 · see citing works
The carbohydrate-active enzymes database (CAZy) in 2013
Lombard, V., Ramulu, H. G., Drula, É., Coutinho, P. M., & Henrissat, B. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1178 · Cited by 6,355 · see citing works
GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
Chaumeil, P.-A., Mussig, A. J., Hugenholtz, P., & Parks, D. H. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz848 · Cited by 5,176 · see citing works
KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases
Xie, C., Mao, X., Huang, J., Ding, Y., Wu, J., Dong, S., Kong, L., Gao, G., Li, C., & Wei, L. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr483 · Cited by 5,078 · see citing works
Self-citationKang, D., Li, F., Kirton, E., Thomas, A., Egan, R. S., An, H., & Wang, Z. (2019) · PeerJ · doi:10.7717/peerj.7359 · Cited by 3,784 · see citing works
Olm, M. R., Brown, C. T., Brooks, B., & Banfield, J. F. (2017) · The ISME Journal · doi:10.1038/ismej.2017.126 · Cited by 3,031 · see citing works
MaxBin 2.0: an automated binning algorithm to recover genomes from multiple metagenomic datasets
Wu, Y., Simmons, B. A., & Singer, S. W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv638 · Cited by 2,809 · see citing works
Binning metagenomic contigs by coverage and composition
Alneberg, J., Bjarnason, B. S., de Bruijn, I., Schirmer, M., Quick, J., Ijaz, U. Z., Lahti, L., Loman, N. J., Andersson, A. F., & Quince, C. (2014) · Nature Methods · doi:10.1038/nmeth.3103 · Cited by 2,709 · see citing works
KofamKOALA: KEGG ortholog assignment based on profile HMM and adaptive score threshold
Aramaki, T., Blanc-Mathieu, R., Endo, H., Ohkubo, K., Kanehisa, M., Goto, S., & Ogata, H. (2019) · doi:10.1101/602110 · Cited by 2,054 · see citing works
Chklovski, A., Parks, D. H., Woodcroft, B. J., & Tyson, G. W. (2023) · Nature Methods · doi:10.1038/s41592-023-01940-w · Cited by 1,705 · see citing works
nhmmer: DNA homology search with profile HMMs
Wheeler, T. J., & Eddy, S. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt403 · Cited by 903 · see citing works
Asnicar, F., Thomas, A. M., Beghini, F., Mengoni, C., Manara, S., Manghi, P., Zhu, Q., Bolzan, M., Cumbo, F., May, U., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16366-7 · Cited by 869 · see citing works
Janssen, P. H. (2010) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2010.07.002 · Cited by 848 · see citing works
MAFFT-DASH: integrated protein sequence and structural alignment
Rozewicki, J., Li, S., Amada, K. M., Standley, D. M., & Katoh, K. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz342 · Cited by 818 · see citing works
Zhou, Z., Tran, P. Q., Breister, A. M., Liu, Y., Kieft, K., Cowley, E. S., Karaöz, U., & Anantharaman, K. (2022) · Microbiome · doi:10.1186/s40168-021-01213-8 · Cited by 662 · see citing works
Beauchemin, K. A., Ungerfeld, E. M., Eckard, R. J., & Wang, M. (2020) · Animal · doi:10.1017/s1751731119003100 · Cited by 619 · see citing works
Self-citationCarbohydrate-active enzymes (CAZymes) in the gut microbiome
Wardman, J. F., Bains, R. K., Rahfeld, P., & Withers, S. G. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00712-1 · Cited by 597 · see citing works
<i>Old Acetogens, New Light</i>
Drake, H. L., Gößner, A. S., & Daniel, S. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1419.016 · Cited by 578 · see citing works
Cord-Ruwisch, R., Seitz, H.-J., & Conrad, R. (1988) · Archives of Microbiology · doi:10.1007/bf00411655 · Cited by 549 · see citing works
HydDB: A web tool for hydrogenase classification and analysis
Søndergaard, D., Pedersen, C. N. S., & Greening, C. (2016) · Scientific Reports · doi:10.1038/srep34212 · Cited by 514 · see citing works
Self-citationThe rumen microbiome: balancing food security and environmental impacts
Mizrahi, I., Wallace, R. J., & Moraïs, S. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00543-6 · Cited by 490 · see citing works
Metabolic Hydrogen Flows in Rumen Fermentation: Principles and Possibilities of Interventions
Ungerfeld, E. M. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00589 · Cited by 472 · see citing works
Self-citationSchuchmann, K., & Müller, V. (2013) · Science · doi:10.1126/science.1244758 · Cited by 430 · see citing works
Comparative Digestive Physiology
Karasov, W. H., & Douglas, A. E. (2013) · Comprehensive physiology · doi:10.1002/cphy.c110054 · Cited by 366 · see citing works
MicrobiotaProcess: A comprehensive R package for deep mining microbiome
Xu, S., Zhan, L., Tang, W., Dai, Z., Zhou, L., Feng, T., Chen, M., Liu, S., Wu, T., Hu, E., et al. (2023) · The Innovation · doi:10.1016/j.xinn.2023.100388 · Cited by 306 · see citing works
Xie, F., Jin, W., Si, H., Yuan, Y., Tao, Y., Liu, J., Wang, X., Yang, C., Li, Q., Yan, X., et al. (2021) · Microbiome · doi:10.1186/s40168-021-01078-x · Cited by 305 · see citing works
Self-citationThe SCFA Receptor GPR43 and Energy Metabolism
Kimura, I., Inoue, D., Hirano, K., & Tsujimoto, G. (2014) · Frontiers in Endocrinology · doi:10.3389/fendo.2014.00085 · Cited by 299 · see citing works
Diverse hydrogen production and consumption pathways influence methane production in ruminants
Greening, C., Geier, R. R., Wang, C., Woods, L. C., Morales, S. E., McDonald, M. J., Rushton-Green, R., Morgan, X. C., Koike, S., Leahy, S. C., et al. (2019) · The ISME Journal · doi:10.1038/s41396-019-0464-2 · Cited by 296 · see citing works
Self-citationGressley, T. F., Hall, M. B., & Armentano, L. E. (2011) · Journal of Animal Science · doi:10.2527/jas.2010-3460 · Cited by 289 · see citing works
Prevotella: A Key Player in Ruminal Metabolism
Betancur-Murillo, C. L., Aguilar-Marín, S. B., & Jovel, J. (2022) · Microorganisms · doi:10.3390/microorganisms11010001 · Cited by 283 · see citing works
Aspects of rumen microbiology central to mechanistic modelling of methane production in cattle
ELLIS, J. L., DIJKSTRA, J., KEBREAB, E., BANNINK, A., ODONGO, N. E., McBRIDE, B. W., & FRANCE, J. (2008) · The Journal of Agricultural Science · doi:10.1017/s0021859608007752 · Cited by 274 · see citing works
Zakrzewski, M., Goesmann, A., Jaenicke, S., Jünemann, S., Eikmeyer, F., Szczepanowski, R., Al‐Soud, W. A., Sørensen, S. J., Pühler, A., & Schlüter, A. (2012) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2012.01.020 · Cited by 236 · see citing works
Ribose-Map: a bioinformatics toolkit to map ribonucleotides embedded in genomic DNA
Gombolay, A. L., Vannberg, F. O., & Storici, F. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky874 · Cited by 204 · see citing works
EVOLUTION OF HORNS IN UNGULATES: ECOLOGY AND PALEOECOLOGY
Janis, C. M. (1982) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.1982.tb00370.x · Cited by 195 · see citing works
Islands in the stream: from individual to communal fiber degradation in the rumen ecosystem
Moraïs, S., & Mizrahi, I. (2019) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuz007 · Cited by 155 · see citing works
Metabolic interactions among intestinal microorganisms
Wolin, M. J. (1974) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/27.11.1320 · Cited by 154 · see citing works
H2metabolism is widespread and diverse among human colonic microbes
Wolf, P. G., Biswas, A., Morales, S. E., Greening, C., & Gaskins, H. R. (2016) · Gut Microbes · doi:10.1080/19490976.2016.1182288 · Cited by 153 · see citing works
Self-citationWang, M., Sun, X., Janssen, P. H., Tang, S., & Tan, Z. (2014) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2014.04.012 · Cited by 145 · see citing works
Self-citationDietary selection of metabolically distinct microorganisms drives hydrogen metabolism in ruminants
Li, Q. S., Wang, R., Ma, Z. Y., Zhang, X. M., Jiao, J. Z., Zhang, Z. G., Ungerfeld, E. M., Le Yi, K., Zhang, B. Z., Long, L., et al. (2022) · The ISME Journal · doi:10.1038/s41396-022-01294-9 · Cited by 142 · see citing works
Self-citationNew Horizons in Acetogenic Conversion of One-Carbon Substrates and Biological Hydrogen Storage
Müller, V. (2019) · Trends in Biotechnology · doi:10.1016/j.tibtech.2019.05.008 · Cited by 135 · see citing works
Rumen Function and Development
Baldwin, R. L., & Connor, E. E. (2017) · Veterinary Clinics of North America Food Animal Practice · doi:10.1016/j.cvfa.2017.06.001 · Cited by 119 · see citing works
Kinetics of Hydrogen Consumption by Rumen Fluid, Anaerobic Digestor Sludge, and Sediment
Robinson, J. A., & Tiedje, J. M. (1982) · Applied and Environmental Microbiology · doi:10.1128/aem.44.6.1374-1384.1982 · Cited by 118 · see citing works
Lin, L., Lai, Z., Zhang, J., Zhu, W., & Mao, S. (2023) · Microbiome · doi:10.1186/s40168-022-01453-2 · Cited by 109 · see citing works
Laarman, A. H., Ruiz-Sanchez, A. L., Sugino, T., Guan, L. L., & Oba, M. (2012) · Journal of Dairy Science · doi:10.3168/jds.2011-4788 · Cited by 101 · see citing works
Homo-Acetogens: Their Metabolism and Competitive Relationship with Hydrogenotrophic Methanogens
Karekar, S. C., Stefanini, R., & Ahring, B. K. (2022) · Microorganisms · doi:10.3390/microorganisms10020397 · Cited by 101 · see citing works
Membrane-anchored HDCR nanowires drive hydrogen-powered CO2 fixation
Dietrich, H. M., Righetto, R. D., Kumar, A., Wietrzynski, W., Trischler, R., Schuller, S. K., Wagner, J., Schwarz, F. M., Engel, B. D., Müller, V., et al. (2022) · Nature · doi:10.1038/s41586-022-04971-z · Cited by 99 · see citing works
The rumen and hindgut as source of ruminant methanogenesis
Immig, I. (1996) · Environmental Monitoring and Assessment · doi:10.1007/bf00394042 · Cited by 91 · see citing works
Wang, M., Wang, R., Xie, T. Y., Janssen, P. H., Sun, X. Z., Beauchemin, K. A., Tan, Z. L., & Gao, M. (2016) · The Journal of Nutrition · doi:10.3945/jn.116.232462 · Cited by 91 · see citing works
Self-citationA theoretical comparison between two ruminal electron sinks
Ungerfeld, E. M. (2013) · Frontiers in Microbiology · doi:10.3389/fmicb.2013.00319 · Cited by 85 · see citing works
Self-citationGlycan processing in gut microbiomes
Rosa, S. L. L., Ostrowski, M. P., de León, A. V., McKee, L. S., Larsbrink, J., Eijsink, V. G. H., Lowe, E. C., Martens, E. C., & Pope, P. B. (2022) · Current Opinion in Microbiology · doi:10.1016/j.mib.2022.102143 · Cited by 80 · see citing works
Yan, L., Zhang, B., & Shen, Z. (2014) · Journal of Dairy Science · doi:10.3168/jds.2013-7807 · Cited by 77 · see citing works
Chin, K., & Janssen, P. H. (2002) · Applied and Environmental Microbiology · doi:10.1128/aem.68.4.2089-2092.2002 · Cited by 62 · see citing works
Studies of the large intestine of sheep
Dixon, R. M., & Nolan, J. V. (1982) · British Journal Of Nutrition · doi:10.1079/bjn19820038 · Cited by 59 · see citing works
Characteristics of Bacterial Microbiota in Different Intestinal Segments of Aohan Fine-Wool Sheep
Ma, Y., Deng, X., Yang, X. Y., Wang, J., Li, T., Hua, G., Han, D., Da, L., Li, R., Rong, W., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.874536 · Cited by 58 · see citing works
Dimont, E., Shi, J., Kirchner, R. D., et al. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv209 · Cited by 55 · see citing works
Popova, M., Morgavi, D. P., & Martin, C. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.03115-12 · Cited by 54 · see citing works
Li, C., Li, X., Guo, R., Ni, W., Liu, K., Liu, Z., Dai, J., Xu, Y., Abduriyim, S., Wu, Z., et al. (2023) · Microbiome · doi:10.1186/s40168-022-01448-z · Cited by 53 · see citing works
China’s low-emission pathways toward climate-neutral livestock production for animal-derived foods
Wang, R., Bai, Z., Chang, J., Li, Q., Hristov, A. N., Smith, P., Yin, Y., Tan, Z., & Wang, M. (2022) · The Innovation · doi:10.1016/j.xinn.2022.100220 · Cited by 52 · see citing works
Self-citationFeeding, Evaluating, and Controlling Rumen Function
Lean, I. J., Golder, H. M., & Hall, M. B. (2014) · Veterinary Clinics of North America Food Animal Practice · doi:10.1016/j.cvfa.2014.07.003 · Cited by 51 · see citing works
Electron flow: key to mitigating ruminant methanogenesis
Leahy, S. C., Janssen, P. H., Attwood, G. T., Mackie, R. I., McAllister, T. A., & Kelly, W. J. (2022) · Trends in Microbiology · doi:10.1016/j.tim.2021.12.005 · Cited by 50 · see citing works
In vitro study of the age-dependent caecal fermentation pattern and methanogenesis in young rabbits
Piattoni, F., Demeyer, D., & Maertens, L. (1996) · annales de biologie animale biochimie biophysique · doi:10.1051/rnd:19960303 · Cited by 49 · see citing works
Lin, L., Ma, H., Zhang, J., Huisheng, Y., Zhang, J., Lai, Z., Qi, W., Xie, F., Zhu, W., & Mao, S. (2024) · Animal Advances · doi:10.48130/animadv-0024-0002 · Cited by 49 · see citing works
Popova, M., McGovern, E., McCabe, M. S., Martin, C., Doreau, M., Arbre, M., Meale, S. J., Morgavi, D. P., & Waters, S. M. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00937 · Cited by 48 · see citing works
Ma, Z. Y., Zhang, X., Wang, R., Wang, M., Liu, T., & Tan, Z. L. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.581227 · Cited by 39 · see citing works
Self-citationXie, F., Xu, L., Wang, Y., & Mao, S. (2021) · mSystems · doi:10.1128/msystems.00915-21 · Cited by 38 · see citing works
Volatile Fatty Acids in the Caecum of the Sheep
Faichney, G. J. (1968) · Australian Journal of Biological Sciences · doi:10.1071/bi9680177 · Cited by 33 · see citing works
Kameshwar, A. K. S., & Qin, W. (2018) · Journal of Genomics · doi:10.7150/jgen.25648 · Cited by 29 · see citing works
Kappler, O., Janssen, P. H., Kreft, J., et al. (1997) · Microbiology · doi:10.1099/00221287-143-4-1105 · Cited by 28 · see citing works
Marounek, M., Fievez, V., Mbanzamihigo, L., et al. (1999) · Archiv für Tierernaehrung · doi:10.1080/17450399909386162 · Cited by 24 · see citing works
Wang, M., Wang, R., Tang, S., et al. (2015) · Livestock Science · doi:10.1016/j.livsci.2015.12.002 · Cited by 24 · see citing works
Self-citationMethanogenesis inhibition remodels microbial fermentation and stimulates acetogenesis in ruminants
Ni, G., Wang, M., Walker, N. D., Muetzel, S., Schmidt, O., Fischer, A., Stemmler, R. T., Leung, P. M., Zhang, X., Li, Q., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2514823122 · Cited by 24 · see citing works
Self-citationMa, Z. Y., Zhang, X. M., Wang, M., Wang, R., Jiang, Z. Y., Tan, Z. L., Gao, F. X., & Muhammed, A. (2019) · Journal of Dairy Science · doi:10.3168/jds.2018-15647 · Cited by 22 · see citing works
Self-citationThe Ruminant: Life History and Digestive Physiology of a Symbiotic Animal
Pérez-Barbería, F. J. (2020) · SpringerBriefs in Applied Sciences and Technology · doi:10.1007/978-3-030-46060-0_2 · Cited by 21 · see citing works
Wang, X., Hu, L., Liu, H., et al. (2021) · Animal Bioscience · doi:10.5713/ab.20.0809 · Cited by 18 · see citing works
Self-citationWang, M., Wan, D., Xie, X., et al. (2024) · The Innovation Life · doi:10.59717/j.xinn-life.2024.100103 · Cited by 14 · see citing works
Self-citationAbecia, L., Fondevila, M., Rodríguez-Romero, N., Martı́nez, G., & Yáñez-Ruíz, D. R. (2013) · Journal of Animal Physiology and Animal Nutrition · doi:10.1111/jpn.12049 · Cited by 13 · see citing works
Grond, K., Kurtz, C. C., Hatton, J. J., Sonsalla, M. M., & Duddleston, K. N. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00117-0 · Cited by 13 · see citing works
Li, D., Leahy, S. C., Henderson, G., Kelly, W. J., Cookson, A. L., Attwood, G. T., & Moon, C. D. (2014) · Annals of Microbiology · doi:10.1007/s13213-014-0806-2 · Cited by 7 · see citing works
Miller, W. F., Titgemeyer, E. C., Nagaraja, T. G., Watanabe, D. H. M., Felizari, L. D., Millen, D. D., Smith, Z. K. F., & Johnson, B. J. (2021) · Animals · doi:10.3390/ani11051230 · Cited by 7 · see citing works
Yao, Y., Fu, B., Han, D., Zhang, Y., Wei, Z.-Y., & Liu, H. (2023) · Environmental Microbiology Reports · doi:10.1111/1758-2229.13129 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Methanogenesis inhibition remodels microbial fermentation and stimulates acetogenesis in ruminants
Ni, G., Wang, M., Walker, N. D., Muetzel, S., Schmidt, O., Fischer, A., Stemmler, R. T., Leung, P. M., Zhang, X., Li, Q., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2514823122 · Cited by 24 · see citing works
Self-citationMetabolic versatility enables acetogens to colonize ruminants with diet-driven niche partitioning
Li, Q., Wang, R., Zhou, X., Li, S., Zhang, S., Zhang, X., Wang, W., Jiao, J., Janssen, P. H., Ungerfeld, E. M., et al. (2025) · The ISME Journal · doi:10.1093/ismejo/wraf183 · Cited by 11 · see citing works
“Previous research has provided metagenomic evidence that acetogens inhabit the rumen and use diverse mechanisms to harvest energy, with their abundance and activity elevated both in ruminants selectively bred for low CH 4 emissions and in animals exposed to methano-genesis inhibitors [12, 15, 16].”
Self-citationHeng, Y. C., Chua, J. H., Silvaraju, S., Fan, H., Low, A., Lim, A. C. H., Chen, B., Mane, L., Dagar, S. S., Fliegerova, K. O., et al. (2026) · Microbiome · doi:10.1186/s40168-026-02392-y · Cited by 4 · see citing works
Wu, H., Wang, H., Man, S., et al. (2025) · Bioresource Technology · doi:10.1016/j.biortech.2025.133895 · Cited by 3 · see citing works
Zeldes, B. M., Mittelstedt, S., Baum, C., Shakirova, A., Poehlein, A., Daniel, R., & Basen, M. (2025) · Applied and Environmental Microbiology · doi:10.1128/aem.01641-25 · Cited by 2 · see citing works
Spatial Multi-Omics Analysis of the Qianqiu Goat Gut Microbiome and Metabolome
Guo, P., Qin, W., Song, W., & Chen, H. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262411815 · Cited by 2 · see citing works
“In situ measurements in the same work showed that dissolved hydrogen and acetate levels were significantly higher in the cecum than in the rumen, consistent with enhanced reductive acetogenesis and diminished methanogenesis in the hindgut environment [48].”
Cecal acidosis: an emergent digestive disorder in ruminants
Ribeiro, P. H. C., Silva, L. A. F., Casali, D. M., de Toledo, A. F., & Millen, D. D. (2025) · Livestock Science · doi:10.1016/j.livsci.2025.105875 · Cited by 2 · see citing works
GCompip: a pipeline for estimating the gene abundance in microbial communities
Zhou, X., Li, Q., Zhang, S., et al. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf207 · Cited by 2 · see citing works
“NarG, a gene catalyzing the reduction of nitrate to nitrite and widely distributed in six ecological environments (Kandeler et al. 2006, Auclair et al. 2010, Rothery et al. 2010, Poulsen et al. 2014, Rasigraf et al. 2017, Li et al. 2025).”
Self-citationBowerman, K. L., Lü, Y., McRae, H., Volmer, J. G., Zaugg, J., Pope, P. B., Hugenholtz, P., Greening, C., Morrison, M., Soo, R. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.04.626884 · Cited by 2 · see citing works
Self-citationBowerman, K. L., Lü, Y., McRae, H., Volmer, J. G., Zaugg, J., Pope, P. B., Hugenholtz, P., Greening, C., Morrison, M., Soo, R. M., et al. (2025) · mSystems · doi:10.1128/msystems.01608-25 · Cited by 1 · see citing works
Self-citationXu, J., Ma, J., Lin, H., Yan, S., & Huaxin, N. I. U. (2026) · Microbiology Spectrum · doi:10.1128/spectrum.03051-25 · Cited by 2 · see citing works
Wang, Y., Jia, Y., Ge, G., Bao, J. R., Ding, X., Liu, X., & Wang, Z. (2026) · Microorganisms · doi:10.3390/microorganisms14020288 · Cited by 1 · see citing works
Singh, A., Maurya, P., Arora, S., & Singh, Y. P. (2026) · Land Degradation and Development · doi:10.1002/ldr.70454 · Cited by 1 · see citing works
He, L., Tian, R., Wang, Z., et al. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1604624
Self-citationSu, Z., Zheng, Z., Lu, M., Han, D., Qin, J., Yin, T., Quan, Z., Ding, S., He, L., & Zhang, W. (2025) · Antioxidants · doi:10.3390/antiox15010011
“The cecum is the main site of hindgut fermentation in ruminants, responsible for the further decomposition of cellulose and other complex carbohydrates undigested by the rumen [59].”
InfluentialChen, T., Xiao, J., Li, S., Peng, R., Xu, Y., Zhuang, Y., Zhao, X., Sha, M., Wang, J., Ma, J., et al. (2026) · Microbiome · doi:10.1186/s40168-026-02446-1
“Data of BW were analyzed based on days (day 1, 14, 28, 42, 56, 70, and 84).”
Challenges in redirecting rumen hydrogen flow in vitro: insights from new hydrogenotrophic isolates
Noel, S. J., Højberg, O., & Thorsteinsson, M. M. (2026) · BMC Microbiology · doi:10.1186/s12866-026-05399-5
“Future cultivation attempts from ruminants should include isolation from the hindgut as it has recently been demonstrated that there is a higher prevalence of distinct populations of acetogens in the rumi-nant cecum [56].”
Wu, W., Wang, Y., Yao, Y., Jia, K., Luo, X., Wang, L., & Wu, G. (2026) · Animals · doi:10.3390/ani16142179
“Other major phyla, including Actinobac-teriota , Bacteroidetes , Proteobacteria , and Methanobacteriota , have been associated with fiber degradation, carbohydrate utilization, and intestinal fermentation processes [68,69].”
Lu, H., Chen, H., Li, T., et al. (2026) · Microorganisms · doi:10.3390/microorganisms14081701
“Adjustments in dietary structure and shifts in physiological status can substantially modify ruminal function and microbial community composition [21].”
Trischler, R., Fletcher, L. J.-V., & Müller, V. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.6c09717
3-Nitrooxypropanol as a rumen methane mitigation agent: mechanisms, efficacy, and future directions
Zeeshan, M., Khan, N. A., Zhang, X., Liu, Y., & Tu, Y. (2026) · Circular Agricultural Systems · doi:10.48130/cas-0026-0017
Self-citationGao, Y., & Wang, B. (2026) · PeerJ · doi:10.7717/peerj.21705
“For example, the goat caecum harbours a distinct microbial community enriched in reductive acetogenesis, supporting a role in energy harvest ( Li et al., 2025 ).”
- Authors
- Li, Q., Huo, J., Ni, G., Zhang, F., Zhang, S., Zhang, X., Wang, R., Jiao, J., Yu, Z., Pu, X., Yue, Y., Ungerfeld, E. M., Zhang, X., Wu, J., Tan, Z., Greening, C., & Wang, M.
- Affiliations
- Chinese Academy of Sciences (CN)
- Monash University (AU)
- The Ohio State University (US)
- Instituto de Investigaciones Agropecuarias (CL)
- Corresponding author
- Wang, Min
- ORCID
- Venue
- Microbiome
- Published
- 2025-01-28
- Volume
- 13
- Issue
- 1
- Pages
- 28-28
- ISSN
- 2049-2618 (ISSN-L)
- PMC
- PMC11773752
- OpenAlex
- W4406886564
- Semantic Scholar
- bb9736044ba78c51245bf428142c9f2f007ff37a
- Cited by
- 22
- References
- 89
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 2
- FWCI
- 20.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Microbiome (publishedVersion, cc-by-nc-nd)
- Research Square (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (U22A20512, APP1178715)
- National Health and Medical Research Council (1178715)
- National Key Research and Development Program of China (2023YFD1300902)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Keywords
- reductive acetogenesis, cecal microbiota, rumen microbiome, hydrogen metabolism, volatile fatty acids, acetate production, methanogenesis, mucin-degrading bacteria, hydrogenotrophic bacteria, goats, genome-resolved metagenomics
- MeSH terms
- Gastrointestinal Microbiome, Acetates, Animals, Archaea, Bacteria, Cecum, Fatty Acids, Volatile, Fermentation, Goats, Hydrogen, Methane, Rumen, Ruminants
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-26.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-26.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review