Interactions of the hindgut mucosa-associated microbiome with its host regulate shedding of Escherichia coli O157:H7 by cattle
Open accessAbstract
ABSTRACT Cattle are the primary carrier of Escherichia coli O157:H7, a foodborne human pathogen, and those shedding >10 4 CFU/gram of feces of E. coli O157:H7 are defined as supershedders (SS). This study investigated the rectoanal junction (RAJ) mucosa-associated microbiota and its relationship with host gene expression in SS and in cattle from which E. coli O157:H7 was not detected (nonshedders [NS]), aiming to elucidate the mechanisms involved in supershedding. In total, 14 phyla, 66 families, and 101 genera of RAJ mucosa-associated bacteria were identified and Firmicutes (61.5 ± 7.5%), Bacteroidetes (27.9 ± 6.4%), and Proteobacteria (5.5 ± 2.1%) were the predominant phyla. Differential abundance analysis of operational taxonomic units (OTUs) identified 2 OTUs unique to SS which were members of Bacteroides and Clostridium and 7 OTUs unique to NS which were members of Coprococcus , Prevotella , Clostridium , and Paludibacter . Differential abundance analysis of predicted microbial functions (using PICRUSt [phylogenetic investigation of communities by reconstruction of unobserved states]) revealed that 3 pathways had higher abundance (log 2 fold change, 0.10 to 0.23) whereas 12 pathways had lower abundance (log 2 fold change, −0.36 to −0.20) in SS. In addition, we identified significant correlations between expression of 19 differentially expressed genes and the relative abundance of predicted microbial functions, including nucleic acid polymerization and carbohydrate and amino acid metabolism. Our findings suggest that differences in RAJ microbiota at both the compositional and functional levels may be associated with E. coli O157:H7 supershedding and that certain microbial groups and microbial functions may influence RAJ physiology of SS by affecting host gene expression. IMPORTANCE Cattle with fecal E. coli O157:H7 at >10 4 CFU per gram of feces have been defined as the supershedders, and they are responsible for the most of the E. coli O157:H7 spread into farm environment. Currently, no method is available for beef producers to eliminate shedding of E. coli O157:H7 in cattle, and the lack of information about the mechanisms of supershedding greatly impedes the development of effective methods. This study investigated the role of the rectoanal junction (RAJ) mucosa-associated microbiome in E. coli O157:H7 shedding, and our results indicated that the compositions and functions of RAJ microbiota differed between supershedders and nonshedders. The identified relationship between the differentially abundant microbes and 19 previously identified differentially expressed genes suggests the role of host-microbial interactions involved in E. coli O157:H7 supershedding. Our findings provide a fundamental understanding of the supershedding phenomenon which is essential for the development of strategies, such as the use of directly fed microbials, to reduce E. coli O157:H7 shedding in cattle.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Differences in both the mucosa-associated microbiota of the rectoanal junction and fecal microbiota of cattle influence the shedding of the human pathogen Escherichia coli O157 in cattle feces.
“Recently, differences in both the mucosa-associated microbiota of the rectoanal junction and fecal microbiota of cattle have been shown to influence the shedding of the human pathogen Escherichia coli O157 in cattle feces (Stenkamp-Strahm et al., 2018; Wang et al., 2018).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Wang et al., 2018
Cites
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077 · see citing works
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,617 · see citing works
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624 · see citing works
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116 · see citing works
Metabolic Endotoxemia Initiates Obesity and Insulin Resistance
Cani, P. D., Amar, J., Iglesias, M. A., Poggi, M., Knauf, C., Bastelica, D., Neyrinck, A. M., Fava, F., Tuohy, K. M., Chabo, C., et al. (2007) · Diabetes · doi:10.2337/db06-1491 · Cited by 6,638 · see citing works
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176 · see citing works
Host-gut microbiota metabolic interactions
Nicholson, J. K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W., & Pettersson, S. (2012) · Science · doi:10.1126/science.1223813 · Cited by 4,760 · see citing works
Functional interactions between the gut microbiota and host metabolism
Tremaroli, V., & Bäckhed, F. (2012) · Nature · doi:10.1038/nature11552 · Cited by 4,387 · see citing works
Bifidobacteria can protect from enteropathogenic infection through production of acetate
Fukuda, S., Toh, H., Hase, K., Oshima, K., Nakanishi, Y., Yoshimura, K., Tobe, T., Clarke, J. M., Topping, D. L., Suzuki, T., et al. (2011) · Nature · doi:10.1038/nature09646 · Cited by 2,387 · see citing works
Peng, L., Li, Z.-R., Green, R. S., Holzmanr, I. R., & Lin, J. (2009) · The Journal of Nutrition · doi:10.3945/jn.109.104638 · Cited by 2,130 · see citing works
Donato, R. (2001) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/s1357-2725(01)00046-2 · Cited by 1,580 · see citing works
Innate IL-17-producing cells: the sentinels of the immune system
Cua, D. J., & Tato, C. M. (2010) · Nature reviews. Immunology · doi:10.1038/nri2800 · Cited by 1,578 · see citing works
Microbiota-mediated colonization resistance against intestinal pathogens
Buffie, C. G., & Pamer, E. G. (2013) · Nature reviews. Immunology · doi:10.1038/nri3535 · Cited by 1,564 · see citing works
The microbiology of butyrate formation in the human colon
Pryde, S. E., Duncan, S. H., Hold, G. L., Stewart, C. S., & Flint, H. J. (2002) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.2002.tb11467.x · Cited by 1,320 · see citing works
Comparison of Sequencing Utility Programs
Aronesty, E. (2013) · The Open Bioinformatics Journal · doi:10.2174/1875036201307010001 · Cited by 1,144 · see citing works
Commensal bacteria at the interface of host metabolism and the immune system
Brestoff, J. R., & Artis, D. (2013) · Nature Immunology · doi:10.1038/ni.2640 · Cited by 945 · see citing works
The role of microbial amino acid metabolism in host metabolism
Neis, E., Dejong, C., & Rensen, S. (2015) · Nutrients · doi:10.3390/nu7042930 · Cited by 920 · see citing works
Commensal clostridia: Leading players in the maintenance of gut homeostasis
Lopetuso, L. R., Scaldaferri, F., Petito, V., & Gasbarrini, A. (2013) · Gut Pathogens · doi:10.1186/1757-4749-5-23 · Cited by 753 · see citing works
den Abbeele, P. V., Belzer, C., Goossens, M., Kleerebezem, M., de Vos, W. M., Thas, O., Weirdt, R. D., Kerckhof, F., & de Wiele, T. V. (2012) · The ISME Journal · doi:10.1038/ismej.2012.158 · Cited by 639 · see citing works
Innate immune recognition of the microbiota promotes host-microbial symbiosis
Chu, H., & Mazmanian, S. K. (2013) · Nature Immunology · doi:10.1038/ni.2635 · Cited by 630 · see citing works
Mao, S., Zhang, M., Liu, J., & Zhu, W. (2015) · Scientific Reports · doi:10.1038/srep16116 · Cited by 532 · see citing works
Gannon, V. P. J., D'Souza, S., Graham, T., King, R. K., Rahn, K., & Read, S. C. (1997) · Journal of Clinical Microbiology · doi:10.1128/jcm.35.3.656-662.1997 · Cited by 369 · see citing works
Community structures of fecal bacteria in cattle from different animal feeding operations
Shanks, O. C., Kelty, C. A., Archibeque, S., Jenkins, M., Newton, R. J., McLellan, S. L., Huse, S. M., & Sogin, M. L. (2011) · Applied and Environmental Microbiology · doi:10.1128/aem.02988-10 · Cited by 359 · see citing works
Super-shedding and the link between human infection and livestock carriage of Escherichia coli O157
Chase-Topping, M. E., Gally, D. L., Low, C., Matthews, L., & Woolhouse, M. E. J. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro2029 · Cited by 357 · see citing works
Ueki, A. (2006) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijs.0.63896-0 · Cited by 307 · see citing works
Holdeman, L. V., & Moore, W. E. (1974) · International Journal of Systematic Bacteriology · doi:10.1099/00207713-24-2-260 · Cited by 269 · see citing works
Zhao, T., Doyle, M. P., Harmon, B. G., Brown, C. A., Mueller, P. O. E., & Parks, A. H. (1998) · Journal of Clinical Microbiology · doi:10.1128/jcm.36.3.641-647.1998 · Cited by 269 · see citing works
Animal-to-animal variation in fecal microbial diversity among beef cattle
Durso, L. M., Harhay, G. P., Smith, T. P. L., Bono, J. L., DeSantis, T. Z., Harhay, D. M., Andersen, G. L., Keen, J. E., Laegreid, W. W., & Clawson, M. L. (2010) · Applied and Environmental Microbiology · doi:10.1128/aem.00207-10 · Cited by 168 · see citing works
Evaluation of dietary influences on Escherichia coli O157:H7 shedding by sheep
Kudva, I. T., Hunt, C. W., Williams, C. J., Nance, U. M., & Hovde, C. J. (1997) · Applied and Environmental Microbiology · doi:10.1128/aem.63.10.3878-3886.1997 · Cited by 157 · see citing works
Naylor, S. W., Roe, A. J., Nart, P., Spears, K. J., Smith, D. G., Low, J. C., & Gally, D. L. (2005) · Microbiology · doi:10.1099/mic.0.28060-0 · Cited by 150 · see citing works
Sargeant, J. M., Amezcua, M. R., Rajić, A., & Waddell, L. A. (2007) · Zoonoses and Public Health · doi:10.1111/j.1863-2378.2007.01059.x · Cited by 149 · see citing works
St‐Pierre, B., & Wright, A. G. (2013) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-013-5220-3 · Cited by 137 · see citing works
Peterson, R. E., Klopfenstein, T. J., Erickson, G. E., Folmer, J., Hinkley, S., Moxley, R. A., & Smith, D. R. (2007) · Journal of Food Protection · doi:10.4315/0362-028x-70.2.287 · Cited by 126 · see citing works
Ansamycins chemistry, biosynthesis and biological activity
Wehrli, W. (2006) · Topics in Current Chemistry · doi:10.1007/bfb0048448 · Cited by 110 · see citing works
Malmuthuge, N., Li, M., Chen, Y., Fries, P. N., Griebel, P. J., Baurhoo, B., Zhao, X., & Guan, L. L. (2011) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2011.01220.x · Cited by 80 · see citing works
Jacob, M. E., Callaway, T. R., & Nagaraja, T. G. (2009) · Foodborne Pathogens and Disease · doi:10.1089/fpd.2009.0306 · Cited by 75 · see citing works
Niu, Y. D., McAllister, T. A., Nash, J. J., Kropinski, A. M., & Stanford, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100426 · Cited by 71 · see citing works
Xu, Y., Dugat‐Bony, É., Zaheer, R., Selinger, L. J., Barbieri, R., Munns, K. D., McAllister, T. A., & Selinger, L. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098115 · Cited by 59 · see citing works
Bach, S. J., Selinger, L. J., Stanford, K., & McAllister, T. A. (2005) · Journal of Applied Microbiology · doi:10.1111/j.1365-2672.2004.02465.x · Cited by 57 · see citing works
A Meta-analysis of Bacterial Diversity in the Feces of Cattle
Kim, M., & Wells, J. (2016) · Current Microbiology · doi:10.1007/s00284-015-0931-6 · Cited by 56 · see citing works
Effect of antimicrobial growth promoter administration on the intestinal microbiota of beef cattle
Reti, K. L., Thomas, M. C., Yanke, L., Selinger, L., & Inglis, G. (2013) · Gut Pathogens · doi:10.1186/1757-4749-5-8 · Cited by 43 · see citing works
Baines, D., Lee, B., & McAllister, T. A. (2008) · Canadian Journal of Microbiology · doi:10.1139/w08-090 · Cited by 37 · see citing works
Cobbold, R. N., & Desmarchelier, P. M. (2004) · Epidemiology and Infection · doi:10.1017/s0950268803001432 · Cited by 25 · see citing works
Wang, O., Liang, G., McAllister, T. A., Plastow, G. S., Stanford, K., Selinger, L. B., & Guan, L. L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151284 · Cited by 25 · see citing works
Are Super-Shedder Feedlot Cattle Really Super?
Munns, K. D., Selinger, L. J., Stanford, K., Selinger, L. B., & McAllister, T. A. (2014) · Foodborne Pathogens and Disease · doi:10.1089/fpd.2013.1621 · Cited by 24 · see citing works
Wang, O., McAllister, T. A., Plastow, G. S., Stanford, K., Selinger, L. B., & Guan, L. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-06737-4 · Cited by 21 · see citing works
Kaevska, M., Videnska, P., Sedlář, K., Bartejsova, I., Králová, A., & Slaná, I. (2016) · Canadian Journal of Microbiology · doi:10.1139/cjm-2015-0814 · Cited by 19 · see citing works
Geldanamycin Inhibition of 3-Methylcholanthrene-lnduced Rat Embryo Cell Transformation
Price, P. J., Suk, W. A., Skeen, P. C., Spahn, G. J., & Chirigos, M. A. (1977) · Experimental Biology and Medicine · doi:10.3181/00379727-155-39830 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Huws, S. A., Creevey, C. J., Oyama, L. B., Mizrahi, I., Denman, S. E., Popova, M., Muñoz-Tamayo, R., Forano, E., Waters, S. M., Hess, M., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02161 · Cited by 487 · see citing works
“Recently, differences in both the mucosa-associated microbiota of the rectoanal junction and fecal microbiota of cattle have been shown to influence the shedding of the human pathogen Escherichia coli O157 in cattle feces (Stenkamp-Strahm et al., 2018; Wang et al., 2018).”
BackgroundSelf-citationEscherichia coli Shiga Toxins and Gut Microbiota Interactions
Lee, K., Jeong, Y., & Lee, M. (2021) · Toxins · doi:10.3390/toxins13060416 · Cited by 80 · see citing works
“STEC infection alters the abundance and diversity of some gut microbiota in cattle [69,70].”
BackgroundSapountzis, P., Segura, A., Desvaux, M., & Forano, E. (2020) · Microorganisms · doi:10.3390/microorganisms8060877 · Cited by 69 · see citing works
“[116,118,119] Firmicutes Lactobacillaceae Wang et al.”
InfluentialFan, Z., Yang, B. K., Ross, R. P., Stanton, C., Shi, G., Zhao, J., Zhang, H., & Chen, W. (2020) · Food & Function · doi:10.1039/d0fo00077a · Cited by 60 · see citing works
Microbial interaction-driven community differences as revealed by network analysis
Pan, Z., Chen, Y., Zhou, M., McAllister, T. A., & Guan, L. L. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.10.035 · Cited by 49 · see citing works
Escherichia coli 0157:H7 virulence factors and the ruminant reservoir
Kolodziejek, A. M., Minnich, S. A., & Hovde, C. J. (2022) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0000000000000834 · Cited by 37 · see citing works
MAP, Johne’s disease and the microbiome; current knowledge and future considerations
Matthews, C., Cotter, P. D., & Mahony, J. O. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00089-1 · Cited by 30 · see citing works
Host-genotype-dependent cecal microbes are linked to breast muscle metabolites in Chinese chickens
Feng, Y., Liu, D., Liu, Y., Yang, X., Zhang, M., Wei, F., Li, D., Hu, Y., & Guo, Y. (2022) · iScience · doi:10.1016/j.isci.2022.104469 · Cited by 30 · see citing works
“For examples, supplemented with Enterococcus faecium, Streptococcus faecium, and Bacillus subtilis have all been evidenced to improve the chicken meat quality (Al-Shawi et al., 2020; Cramer et al., 2018; Ivanovic et al., 2012; Trabelsi et al., 2019; Wang et al., 2017b; Zheng et al., 2014).”
BackgroundLi, L., Fang, Z., Lee, Y. K., Zhao, J., Zhang, H., Peng, H., Zhang, Y., Lu, W., & Chen, W. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.862934 · Cited by 27 · see citing works
“As shown in Figure 6, after filtering out the pathways associated with human diseases, plant functions, drug development, and organismal systems, (28) the distinct patterns of metabolismwere revealed in the CCFM1040 and placebo-supplemented groups.”
BackgroundPrevalence and Implications of Shiga Toxin-Producing E. coli in Farm and Wild Ruminants
Ray, R., & Singh, P. (2022) · Pathogens · doi:10.3390/pathogens11111332 · Cited by 27 · see citing works
Li, L., Fang, Z., Lee, Y. K., Zhao, J., Zhang, H., Lu, W., & Chen, W. (2020) · Food & Function · doi:10.1039/d0fo01363c · Cited by 25 · see citing works
Saito, K., Suzuki, R., Koyanagi, Y., Isogai, H., Hiroshi Yoneyama, C., & Isogai, E. (2019) · Biomedical Reports · doi:10.3892/br.2019.1193 · Cited by 25 · see citing works
Super Shedding in Enteric Pathogens: A Review
Kempf, F., Ragione, R. M. L., Chirullo, B., Schouler, C., & Velge, P. (2022) · Microorganisms · doi:10.3390/microorganisms10112101 · Cited by 23 · see citing works
“[74] found 3 pathways with increased abundances in E.”
BackgroundVasco, K. A., Nohomovich, B., Singh, P., Venegas-Vargas, C., Mosci, R. E., Rust, S. R., Bartlett, P. C., Norby, B., Grooms, D. L., Zhang, L., et al. (2021) · Microorganisms · doi:10.3390/microorganisms9081737 · Cited by 19 · see citing works
“Within a specific farm, for example, some studies observed no difference in diversity among STEC shedders and non-shedders [19,21], whereas other studies detected significantly higher [22] and lower [23] diversity in STEC shedders despite controlling for age, farm, and diet.”
ResultHu, Y., Zhao, M., Lu, Z., Lv, F., Zhao, H., & Bie, X. (2021) · Microbial Pathogenesis · doi:10.1016/j.micpath.2021.104856 · Cited by 18 · see citing works
Pan, Z., Chen, Y., McAllister, T. A., Gänzle, M. G., Plastow, G. S., & Guan, L. L. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.633573 · Cited by 15 · see citing works
“Genetic variation in the host was found to be linked to the level of expression of immune genes in SS (Wang et al., 2018), which also affected the attachment and the colonization of themucosa by STEC (Wang et al., 2018).”
BackgroundResultInfluentialMir, R. A., Schaut, R. G., Looft, T. P., Allen, H. K., Sharma, V. K., & Kudva, I. T. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00693 · Cited by 14 · see citing works
“In another study, Janibacter, Paraprevotella, and Pedobacter were relatively more abundant in RAJ tissues from non-shedding cattle while genera like Corynebacterium, Gordonia, and Luteococcus were more abundant in RAJ tissues from super-shedding cattle (Wang et al., 2018).”
BackgroundResultInfluentialBibbal, D., Ruiz, P., Sapountzis, P., Mazuy, C., Loukiadis, E., Auvray, F., Forano, É., & Brugère, H. (2022) · Frontiers in Veterinary Science · doi:10.3389/fvets.2022.852475 · Cited by 13 · see citing works
“Wang and colleagues compared the mucosal microbiota of the rectoanal junction of supershedders and non-shedders, and they identified OTUs unique to SS or NS (56), but none of them was similar to the ones identified in the present study.”
ResultMicrobiomes in ruminant protein production and food security.
Myer, P. R., Clemmons, B. A., Schneider, L. G., & Ault, T. B. (2019) · CABI Reviews · doi:10.1079/pavsnnr201914008 · Cited by 11 · see citing works
“In a study by Zeineldin et al. calves with BRD were more likely to harbor Proteobacteria, Firmicutes and Tenericutes phyla than healthy calves, and at the genus-level Acinetobacter, Solibacillus and Pasteurella were more common in BRD affected calves [109].”
BackgroundInfluentialPan, Z., Chen, Y., Zhou, M., McAllister, T. A., McNeilly, T. N., & Guan, L. L. (2024) · The ISME Journal · doi:10.1093/ismejo/wrae127 · Cited by 10 · see citing works
Kudva, I. T., Biernbaum, E. N., Cassmann, E. D., & Palmer, M. V. (2023) · Microorganisms · doi:10.3390/microorganisms11051289 · Cited by 5 · see citing works
“For instance, Wang et al. found that RAJ microbiota composition and gene expression differ between supershedders and non-supershedding cattle [31].”
BackgroundBogut, A., Kolodziejek, A. M., Minnich, S. A., & Hovde, C. J. (2025) · Archivum Immunologiae et Therapiae Experimentalis · doi:10.2478/aite-2025-0003 · Cited by 4 · see citing works
Costello, M. K., McClure, J. C., Brown, J., de Hegedüs, R. A., Mantovani, H. C., & Ricke, S. C. (2025) · Applied and Environmental Microbiology · doi:10.1128/aem.02599-24 · Cited by 3 · see citing works
“Several studies have previously identified certain taxa in the feces, such as Moryella and Clostridium, to be associated with E. coli O157:H7 shedding in cattle (3, 68).”
Super-Spreading in Infectious Diseases: A Global Challenge for All Disciplines
Stein, R. A. (2022) · Integrated science · doi:10.1007/978-3-030-96814-4_16 · Cited by 2 · see citing works
Diaz, G. R., Gaire, T. N., Ferm, P., Case, L., Caixeta, L. S., Goldsmith, T., Armstrong, J., & Noyes, N. R. (2023) · Animal Microbiome · doi:10.1186/s42523-023-00284-2 · Cited by 2 · see citing works
“The impact of weaning on the gastrointestinal micro-biome is gaining attention since it has been described in swine [53], horses [54], sheep [55], goats [50], dairy cattle [33], and recently in beef cattle [17, 42].”
BackgroundDeepthi, M., Arvind, K., Saxena, R., Pulikkan, J., Shamjana, U., Sharma, V. K., & Grace, T. (2021) · Research Square · doi:10.21203/rs.3.rs-732782/v1 · Cited by 2 · see citing works
Microbiome Analysis Exploring Taxonomic Diversity in Kasaragod Dwarf and Holstein Crossbred CattlePreprint
Deepthi, M., Arvind, K., Saxena, R., Pulikkan, J., Sharma, V. K., & Grace, T. (2021) · Research Square · doi:10.21203/rs.3.rs-1031096/v1 · Cited by 2 · see citing works
“Several studies have revealed the importance of the fecal microbiome as an alternative approach to explore the association between hindgut microbiota and host productivity (Fan et al. 2020; Fan et al. 2021; Lopes et al. 2019; Uchiyama et al. 2020; Wang et al. 2018).”
BackgroundPamungkas, D., Yusriani, Y., Solehudin, S., Tresia, G. E., Mariyono, M., Negara, W., Paat, P. C., Simanihuruk, K., Efendi, Z., Hernaman, I., et al. (2025) · Veterinary World · doi:10.14202/vetworld.2025.3094-3108 · Cited by 1 · see citing works
“[55], who also emphasize its improvement of nutritional availability and palatability.”
Costello, M. K., McClure, J. C., Olson, E. G., Tarcin, H. A., Mantovani, H. C., & Ricke, S. C. (2026) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00057-25 · Cited by 1 · see citing works
“Siciliano-Jones & Murphy (113) and Wang et al. (19) reported higher VFA concentrations in the cecum compared to the small intestines, colon, and rectum, nevertheless suggesting its role as a major site of fermentation in the hindgut.”
InfluentialSapountzis, P., Teseo, S., Otani, S., Aarestrup, F. M., Forano, É., Suen, G., Tsiamis, G., Haley, B. J., Kessel, J. A. V., & Huws, S. (2021) · Foodborne Pathogens and Disease · doi:10.1089/fpd.2021.0082 · Cited by 1 · see citing works
“Several 16S rRNA amplicon sequencing studies have suggested that members of the cattle rectal microbiota may be able to exclude zoonotic STEC based on mutual exclusion patterns between the rectal microbial community and STEC (Xu et al. , 2014; Zaheer et al. , 2017; Stenkamp-Strahm et al. , 2018; Wang et al. , 2018).”
InfluentialZhao, X., Wei, J., Chen, W., Xu, X., Zhu, R., Tian, P., & Chen, T. (2022) · Disease Markers · doi:10.1155/2022/8762936
Overview on the Role of Probiotics as Immunomodulator s in Farm Animals
Fouad, E. A. (2023) · Ricos Biology · doi:10.33687/ricosbiol.01.01.0017
Costello, M. K., McClure, J. C., Brown, J. A., Mantovani, H. C., & Ricke, S. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.10.632417
Pan, Z., Chen, Y., Zhou, M., McAllister, T. A., McNeilly, T. N., & Guan, L. L. (2025) · Microbiome · doi:10.1186/s40168-025-02184-w
“Compared to the study that only highlights either miR-NAomes or commensals affecting super-shedding and O157 colonization [10, 14, 16], our findings provide novel insights into the mechanisms of O157 colonization and super-shedding through the coregulation of miRNAomes and mucosa-attached…”
The quiet reservoir: Understanding Shiga toxin Escherichia coli O157:H7 colonization in cattle
Feldmann, K. P., & Myer, P. R. (2026) · PLoS Pathogens · doi:10.1371/journal.ppat.1014565
“Taxa such as Clostridium and Bacteroides have been associated with super shedders [13]; however, other taxa, including Erysipelotrichaceae and Prevotella-ceae , have been associated with both super-shedders and non-shedders, making it difficult to define a consistent microbial signature linked to…”
Ban-Cucerzan, A., Imre, K., & Morar, A. (2026) · Applied Sciences · doi:10.3390/app16199578
- Authors
- Wang, O., McAllister, T. A., Plastow, G., Stanford, K., Selinger, B., & Guan, L. L.
- Affiliations
- University of Alberta (CA)
- Agriculture and Agri-Food Canada (CA)
- Alberta Agriculture and Forestry, Lethbridge, AB, Canada
- Department of Biological Sciences, University of Lethbridge, Lethbridge, AB, Canada
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2018-01
- Volume
- 84
- Issue
- 1
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC5734021
- OpenAlex
- W2765154940
- Cited by
- 38
- References
- 51
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 3 · 2022: 8 · 2021: 10 · 2020: 4 · 2019: 2 · 2018: 2
- FWCI
- 1.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Discovery)
- Alberta Innovates | Alberta Innovates Bio Solutions (FSC-12-017)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Escherichia coli research studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
- Keywords
- Escherichia coli O157:H7, cattle, hindgut microbiota, host-microbe interactions, host gene expression, microbial function, Bacteroides, Clostridium, Coprococcus, Prevotella, foodborne pathogens, beef cattle, fecal shedding, microbial community composition
- MeSH terms
- Gastrointestinal Microbiome, Animals, Anal Canal, Cattle, Cattle Diseases, Escherichia coli Infections, Feces, Phylogeny, Rectum, RNA, Bacterial, RNA, Ribosomal, 16S, Gene Expression, Escherichia coli O157, Bacterial Shedding
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.
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
