The yak genome and adaptation to life at high altitude
Open accessAbstract
Domestic yaks (Bos grunniens) provide meat and other necessities for Tibetans living at high altitude on the Qinghai-Tibetan Plateau and in adjacent regions. Comparison between yak and the closely related low-altitude cattle (Bos taurus) is informative in studying animal adaptation to high altitude. Here, we present the draft genome sequence of a female domestic yak generated using Illumina-based technology at 65-fold coverage. Genomic comparisons between yak and cattle identify an expansion in yak of gene families related to sensory perception and energy metabolism, as well as an enrichment of protein domains involved in sensing the extracellular environment and hypoxic stress. Positively selected and rapidly evolving genes in the yak lineage are also found to be significantly enriched in functional categories and pathways related to hypoxia and nutrition metabolism. These findings may have important implications for understanding adaptation to high altitude in other animal species and for hypoxia-related diseases in humans.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper reports a draft genome of a female domestic yak and comparative analyses with cattle that identify gene-family expansions and positively selected genes enriched in hypoxia response, sensory perception, and energy/nutrition metabolism. These findings suggest genomic signatures of high-altitude adaptation in yak and may inform understanding of hypoxia-related disease in humans.
Key findings
- The yak genome assembly was generated at 65-fold coverage, with total length 2,657 Mb, contig N50 20.4 kb, scaffold N50 1.4 Mb, and 22,282 predicted protein-coding genes.
- Yak had 2.2 million heterozygous SNVs and a heterozygosity rate of 0.89 × 10⁻³, about 1.5 times higher than the estimated cattle rate of 0.59 × 10⁻³.
- Yak-specific gene families were significantly over-represented in olfactory sensation (14 genes; P < 0.01) and host defense/immunity (11 genes; P < 0.01); 596 gene families were substantially expanded in yak, enriched for sensory perception and energy metabolism.
- Yak had more GPCR transmembrane domains than cattle (1,558 versus 1,358), and the hypoxia-associated Hig_1_n domain had 13 copies in yak versus 9 in cattle.
- Among 8,923 high-confidence yak-cattle-human orthologs, 85 positively selected genes were identified in yak and 95 in cattle; 3 of 81 hypoxia-response genes (3.7%) showed positive selection in yak versus none in cattle (P < 0.05).
Methods
- Whole-genome shotgun sequencing of a female domestic yak from Huangyuan County, Qinghai Province, China, living above 3,700 m, using Illumina HiSeq 2000 with multiple insert-size libraries; assembly used SOAPdenovo.
- RNA-seq from heart, liver, brain, stomach, and lung tissues plus six Sanger-sequenced fosmid clones were used to assess assembly completeness and annotate genes via homology, ab initio prediction, and RNA-seq evidence.
- Comparative analyses included gene-family expansion/contraction, conserved synteny, Ka/Ks estimation, and branch-site likelihood ratio tests for positive selection across yak, cattle, human, and other mammals.
Limitations
- The paper states no explicit limitations section.
- Evident from the text: the genome is a draft assembly from a single female domestic yak, and yak chromosomes lacked physical maps, so chromosomal assignments relied on homology.
- The paper notes that further understanding may require functional analysis of candidate genes in comparative stress studies; the reported adaptive signals are genomic and statistical rather than experimentally validated.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
17 of 36 cited sources checked · 6 supported · 0 flagged · accuracy not yet measured
- Findingcitation
High coverage permitted the identification of 2.2 million heterozygous single-nucleotide variants (SNVs) within the sequenced individual.
“High coverage 11,12 permitted the identification of 2.2 million heterozygous single-nucleotide variants (SNVs) within the sequenced individual (Supplementary Figs. 5 and 6 and Supplementary Tables 7 and 8).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [11] Li, R. et al. SNP detection for massively parallel whole-genome resequencing. Genome Res. 19, 1124–1132 (2009). source
- cites [12] Wang, J. et al. The diploid genome sequence of an Asian individual. Nature 456, 60–65 (2008). source
The SNP and indel identification section reports 3.07 million SNPs in the sequenced YH genome, and the Depth effect section says increased sequencing depth reduced SNP-calling errors. The Haplotype analysis section identifies 700,320 heterozygotes overlapping HapMap loci and another 1,021,953 heterozygous SNPs absent from HapMap; our copy does not support the claimed figure of 2.2 million heterozygous SNVs. No page numbers are available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingcitation
The heterozygosity rate of the sequenced yak was 0.89 × 10^-3, approximately 1.5 times higher than that estimated for cattle (0.59 × 10^-3).
“The heterozygosity rate (0.89 × 10 -3 ) was approximately 1.5 times higher than that estimated for cattle (0.59 × 10 -3 ) (refs.10,13).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [10] Elsik, C.G. et al. The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 324, 522–528 (2009). source
The cattle-genome assembly passage (section labelled Abstract; page unavailable) discusses SNP mapping accuracy, not a heterozygosity estimate. Searches for “0.59,” “heterozygosity rate,” and heterozygous sites found no passage in our copy giving the cattle value or the stated comparison with yak. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites [13] Wade, C.M. et al. Genome sequence, comparative analysis, and population genetics of the domestic horse. Science 326, 865–867 (2009). source
The horse genome paper’s Abstract discusses horse SNPs and compares some horse findings with bovine findings, but does not report a yak heterozygosity rate. Searches for yak heterozygosity and the stated cattle rate found neither the 0.89 × 10^-3 nor the 0.59 × 10^-3 estimate in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Findingown data
TreeFam identified 13,810 homologous gene families shared by yak, cattle, human and dog.
“First, we used TreeFam 20 to identify 13,810 homologous gene families shared by 4 species (yak, cattle, human and dog):”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [20] Li, H. et al. TreeFam: a curated database of phylogenetic trees of animal gene families. Nucleic Acids Res. 34, D572–D580 (2006). source
- Findingown data
Using the human genome as an outgroup, 207 conserved ancestral homologous synteny blocks (aHSBs) were reconstructed, covering 2.51 Gb (94%) of the yak genome.
“Using the human genome as an outgroup, we reconstructed 207 conserved ancestral homologous synteny blocks (aHSBs) 16 covering 2.51 Gb (94%) of the yak genome.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Larkin, D.M. et al. Breakpoint regions and homologous synteny blocks in chromosomes have different evolutionary histories. Genome Res. 19, 770–777 (2009). source
The Identification of HSBs section describes defining homologous synteny blocks using the human genome as a reference, supporting the methodological connection. It does not describe human as an outgroup or report 207 ancestral blocks covering 2.51 Gb (94%) of a yak genome; yak is not among the genomes analyzed. No page number is available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingown data§ The yak genome and adaptation to life at high altitude
Positively selected and rapidly evolving genes in the yak lineage are significantly enriched in functional categories and pathways related to hypoxia and nutrition metabolism.
“Positively selected and rapidly evolving genes in the yak lineage are also found to be significantly enriched in functional categories and pathways related to hypoxia and nutrition metabolism.”
- Also stated in: § l e t t e r s · plain
“The PSGs detected in yak were enriched for genes involved in the hypoxia response and energy metabolism (Supplementary Tables 15 and 16).”
- Also stated in: § l e t t e r s · plain
“we found five key genes that show signs of positive selection in yak nutrition pathways (Fig. 3c)”
Quote in the paperSubstantial claim- Rests on an assumption: The single sequenced female domestic yak is representative of the domestic yak species for genomic comparisons and inferences about adaptation to high altitude.
- Also stated in: § l e t t e r s · plain
- Findingown data§ The yak genome and adaptation to life at high altitude
22,282 protein-coding genes were predicted in yak on the basis of RNA-seq, homology and ab initio gene prediction.
“We predicted 22,282 protein-coding genes in yak on the basis of RNA-seq, homology and ab initio gene prediction (Supplementary Fig. 4 and Supplementary Table 6).”
Quote in the paperNot a substantial claim - Findingown data§ The yak genome and adaptation to life at high altitude
Genomic comparisons between yak and cattle identify an expansion in yak of gene families related to sensory perception and energy metabolism.
“Genomic comparisons between yak and cattle identify an expansion in yak of gene families related to sensory perception and energy metabolism, as well as an enrichment of protein domains involved in sensing the extracellular environment and hypoxic stress.”
- Also stated in: § l e t t e r s · plain
“Functional categories that were enriched for significant gene family expansions mainly included sensory perception (gene ontology (GO) 0004984, olfactory receptor activity, P < 0.01; GO 0050909, sensory perception of taste, P < 0.01) and energy metabolism (GO 0004129, cytochrome-c oxidase activity, P < 0.01; GO 0015986, ATP synthesis coupled proton transport, P < 0.01)”
Quote in the paperSubstantial claim- Rests on an assumption: The single sequenced female domestic yak is representative of the domestic yak species for genomic comparisons and inferences about adaptation to high altitude.
- Also stated in: § l e t t e r s · plain
- Findingown data§ The yak genome and adaptation to life at high altitude
A draft genome sequence of a female domestic yak was generated using Illumina-based technology at 65-fold coverage.
“Here, we present the draft genome sequence of a female domestic yak generated using Illumina-based technology at 65-fold coverage.”
- Also stated in: § The yak genome and adaptation to life at high altitude · plain
“In this study, we sequenced the genome of a female domestic yak using a whole-genome shotgun strategy and the Illumina HiSeq 2000 platform.”
- Also stated in: § The yak genome and adaptation to life at high altitude · plain
“De novo assembly of 4.4 billion reads from paired-end libraries (Supplementary Table 1) yielded a draft assembly (65-fold coverage)”
Quote in the paperSubstantial claim - Also stated in: § The yak genome and adaptation to life at high altitude · plain
- Findingown data§ The yak genome and adaptation to life at high altitude
De novo assembly of 4.4 billion reads from paired-end libraries yielded a draft assembly with a total length of 2,657 Mb.
“De novo assembly of 4.4 billion reads from paired-end libraries (Supplementary Table 1) yielded a draft assembly (65-fold coverage) with a total length of 2,657 Mb”
Quote in the paperSubstantial claim - Findingown data§ The yak genome and adaptation to life at high altitude
Genomic comparisons between yak and cattle identify an enrichment of protein domains involved in sensing the extracellular environment and hypoxic stress.
“Genomic comparisons between yak and cattle identify an expansion in yak of gene families related to sensory perception and energy metabolism, as well as an enrichment of protein domains involved in sensing the extracellular environment and hypoxic stress.”
- Also stated in: § l e t t e r s · hedged
“Categories related to hypoxic stress seemed also to have enriched expansions of the corresponding domains in yak.”
- Also stated in: § l e t t e r s · plain
“we found significantly more GPCR transmembrane domains in yak than in cattle (1,558 versus 1,358).”
Quote in the paperSubstantial claim- Rests on an assumption: The single sequenced female domestic yak is representative of the domestic yak species for genomic comparisons and inferences about adaptation to high altitude.
- Also stated in: § l e t t e r s · hedged
- Findingown data
Categories related to hypoxic stress seemed to have enriched expansions of the corresponding domains in yak.
“Categories related to hypoxic stress seemed also to have enriched expansions of the corresponding domains in yak.”
Quote in the paperSubstantial claim - Findingown data
Five key genes show signs of positive selection in yak nutrition pathways: Camk2b, Gcnt3, Hsd17b12, Whsc1 and Glul.
“Indeed, we found five key genes that show signs of positive selection in yak nutrition pathways (Fig. 3c): Camk2b regulates the secretion of gastric acid in the rumen, which contributes to the assimilation of volatile fatty acids produced by ruminal fermentation [38][39][40][41][42] , and Gcnt3, Hsd17b12, Whsc1 and Glul have important roles in polysaccharide, fatty acid and amino-acid metabolism,”
Quote in the paperSubstantial claim - Findingnone given
The three yak PSGs comprise two important regulators (Adam17 and Arg2) and one target gene (Mmp3) of hypoxia-inducible factor-1α (Hif-1α).
“The three yak PSGs comprise two important regulators (Adam17 and Arg2) and one target gene (Mmp3) of hypoxia-inducible factor-1α (Hif-1α).”
Quote in the paperSubstantial claim - Findingown data
596 gene families were substantially expanded in yak compared to other mammals.
“Next, we identified 596 gene families that were substantially expanded in yak compared to other mammals (Fig. 2a).”
Quote in the paperSubstantial claim - Findingown data
There were significantly more GPCR transmembrane domains in yak than in cattle (1,558 versus 1,358).
“we found significantly more GPCR transmembrane domains in yak than in cattle (1,558 versus 1,358).”
Quote in the paperSubstantial claim - Findingown data
Compared with cattle-specific gene families, yak-specific families were significantly over-represented in olfactory sensation (14 genes; P < 0.01).
“Compared with the cattle-specific gene families, the yak-specific families were significantly over-represented in two major functional categories: olfactory sensation (14 genes; P < 0.01) and host defense and immunity (11 genes; P < 0.01) (Supplementary Table 10).”
Quote in the paperNot a substantial claim - Findingown data
Matching of ORFs to PFAM domain families at the protein level showed expansion in the numbers of specific domains.
“Third, matching of ORFs to PFAM domain families at the protein level showed expansion in the numbers of specific domains (Supplementary Table 12).”
Quote in the paperSubstantial claim - Findingown data
Compared with cattle-specific gene families, yak-specific families were significantly over-represented in host defense and immunity (11 genes; P < 0.01).
“Compared with the cattle-specific gene families, the yak-specific families were significantly over-represented in two major functional categories: olfactory sensation (14 genes; P < 0.01) and host defense and immunity (11 genes; P < 0.01) (Supplementary Table 10).”
Quote in the paperSubstantial claim - Findingown data
Hig_1_n domain genes had expanded copy numbers in yak (13 copies) relative to cattle (9 copies) and other mammals.
“and also had expanded copy numbers in yak (13 copies) relative to cattle (9 copies) and other mammals.”
Quote in the paperSubstantial claim - Premisecitation§ The yak genome and adaptation to life at high altitude
Comparing yak and cattle contributes to the understanding of evolutionary adaptation to high altitude.
“Thus, comparing yak and cattle contributes to the understanding of evolutionary adaptation to high altitude [5][6][7] .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5][6][7]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation§ The yak genome and adaptation to life at high altitude
Closely related and cross-fertile taurine cattle (B. taurus) suffer from severe pulmonary hypertension when reared in the yak habitat.
“In contrast, closely related and cross-fertile taurine cattle (B.taurus) suffer from severe pulmonary hypertension when reared in the yak habitat [2][3][4] .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2][3][4]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Evolutionary analyses based on genomic data have provided important insights into adaptation to high altitude in yak.
“Our evolutionary analyses based on genomic data have provided important insights into adaptation to high altitude in yak.”
Quote in the paperSubstantial claim- Rests on an assumption: The single sequenced female domestic yak is representative of the domestic yak species for genomic comparisons and inferences about adaptation to high altitude.
- Study design and conductown data
146 of 150 randomly selected heterozygous SNVs were validated by PCR amplification and Sanger sequencing.
“In 146 of the 150 sequences, SNVs were validated by double sequence peaks (Supplementary Fig. 6 and Supplementary Table 8).”
Quote in the paperNot a substantial claim - Study design and conductown data
All mutations in 15 genes that resulted in the detected signal of positive evolution in the yak lineage were confirmed to be specific to yak.
“All mutations were confirmed to be specific to yak.”
Quote in the paperSubstantial claim - Interpretationcitation
Positively selected changes in Glul may be important for the high level of nitrogen utilization in yak.
“In addition, the positively selected changes in Glul may be important for the high level of nitrogen utilization in yak 7 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, H. et al. Comparison of nitrogen metabolism in Yak (Bos grunniens) and indigenous cattle (Bos taurus) on the Qinghai-Tibetan Plateau. Asian-Aust. J. Anim. Sci. 24, 766–773 (2011). source
- Premisecitation
Genes with the Hig_1_n domain are highly expressed under hypoxic stress.
“For example, genes with the Hig_1_n (PF04588.6 in Pfam) domain were highly expressed under hypoxic stress 22,23”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Gracey, A.Y., Troll, J.V. & Somero, G.N. Hypoxia-induced gene expression profiling in the euryoxic fish Gillichthys mirabilis. Proc. Natl. Acad. Sci. USA 98, 1993–1998 (2001). source
- cites [23] Salnikow, K. et al. The involvement of hypoxia-inducible transcription factor-1–dependent pathway in nickel carcinogenesis. Cancer Res. 63, 3524–3530 (2003).
- Classified as probably not a substantial claim. 15
- May combine two claims. 26
Classified as probably not a substantial claim.
Premisecitation§ The yak genome and adaptation to life at high altitudeGenomic comparisons between closely related species provide insights into the genetic basis of mammalian divergence and adaptation.
“Genomic comparisons between closely related species provide insights into the genetic basis of mammalian divergence and adaptation 8,9 .”
Quote in the paperSubstantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ The yak genome and adaptation to life at high altitudeThe yak draft assembly total length of 2,657 Mb is close to the 2,649 Mb of sequence obtained for the cattle genome (UMD 3.1).
“with a total length of 2,657 Mb, close to the 2,649 Mb of sequence obtained for the cattle genome 10 (UMD 3.1)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] Elsik, C.G. et al. The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 324, 522–528 (2009). source
The assembly passage (section labeled Abstract; page unavailable) confirms that the paper reports a sequenced cattle genome, but it discusses Btau3.1 and Btau4.0, not UMD 3.1. It gives an estimated genome size of 2.87 Gbp and does not substantiate the cited figure of 2,649 Mb of sequence. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThe higher heterozygosity in yak may be due to a longer and more systematic selection in cattle and/or to introgression from wild yaks still living on the Qinghai-Tibetan Plateau.
“This may be due to a longer and more systematic selection in cattle and/or to introgression from wild yaks still living on the Qinghai-Tibetan Plateau 14,15 .”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [14] Wang, Z. et al. Phylogeographical analyses of domestic and wild yaks based on mitochondrial DNA: new data and reappraisal. J. Biogeogr. 37, 2332–2344 (2010). source
The Phylogeographical structure section (page unavailable) says that domestic yaks were sometimes hybridized with wild yaks, supporting the proposed introgression. It does not compare yak and cattle heterozygosity or say that cattle underwent longer, more systematic selection. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [15] Guo, S. et al. Origin of mitochondrial DNA diversity of domestic yaks. BMC Evol. Biol. 6, 73 (2006). source
The 'Domestication of yaks in the Qinghai-Tibetan Plateau' section (page unavailable) suggests that some domestic-yak lineages may reflect later introgression from wild yaks, which supports one proposed explanation. It does not compare yak and cattle heterozygosity or attribute a difference to longer, more systematic selection in cattle; its evidence concerns mitochondrial haplotype diversity. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
Study design and conductown data§ The yak genome and adaptation to life at high altitudeThe sequencing depth of 98% of the assembly was more than 20-fold, ensuring high accuracy at the nucleotide level.
“The sequencing depth of 98% of the assembly was more than 20-fold (Supplementary Fig. 1), ensuring high accuracy at the nucleotide level 11 .”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [11] Li, R. et al. SNP detection for massively parallel whole-genome resequencing. Genome Res. 19, 1124–1132 (2009). source
The Abstract (page unavailable) reports high nucleotide-call accuracy in a deep human resequencing dataset, and the Discussion (page unavailable) describes the method as measuring accuracy at each nucleotide position. But the reported 98% refers to coverage of genotyped autosomal sites, not the proportion of an assembly sequenced at more than 20-fold depth. Our copy does not substantiate that depth figure. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationYak and cattle were estimated to have diverged approximately 4.9 million years ago, comparable to the time at which humans and chimpanzees diverged.
“Yak and cattle were estimated to have diverged approximately 4.9 million years ago, which is comparable to the time at which humans and chimpanzees diverged 9 (Supplementary Fig. 12).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [9] Chimpanzee Sequencing and Analysis Consortium. Initial sequence of the chimpanzee genome and comparison with the human genome. Nature 437, 69–87 (2005). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFrequent turnover of gene copy and/or protein domain number has been proposed as a major mechanism underlying the adaptive divergence of closely related species.
“Frequent turnover of gene copy and/or protein domain number has been proposed as a major mechanism underlying the adaptive divergence of closely related species 9,[17][18][19] .”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [9] Chimpanzee Sequencing and Analysis Consortium. Initial sequence of the chimpanzee genome and comparison with the human genome. Nature 437, 69–87 (2005). source
The gene-evolution discussion (page unavailable in our copy) describes gene-family expansion, recent human-specific duplications, and genes deleted in chimpanzees, supporting the gene-copy-change portion of the claim. It does not identify turnover of protein-domain number or propose that these changes are a major mechanism of adaptive divergence. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [17][18][19]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdam17 and Arg2 proteins affect Hif-1α stability and activity by regulating production of tumor necrosis factor α (TNF-α) and nitric oxide, respectively, whereas Mmp3 has key roles in numerous physiological processes.
“The Adam17 and Arg2 proteins affect Hif-1α stability and activity by regulating production of tumor necrosis factor α (TNF-α) 31,32 and nitric oxide, respectively 33,34 , whereas Mmp3 has key roles in numerous physiological processes 35 .”
Quote in the paperNot a substantial claim2 of 5 sources checked- cites [31] Srour, N. et al. TACE/ADAM-17 maturation and activation of sheddase activity require proprotein convertase activity. FEBS Lett. 554, 275–283 (2003). source
The Introduction (page not available) identifies ADAM17/TACE as an enzyme that cleaves TNF-α into a soluble form. Section 3.5 reports that inhibiting TACE processing reduces TNF-α release. The paper does not establish the attributed effect on HIF-1α stability or activity; the Arg2 and Mmp3 clauses carry separate citations. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [32] Zhou, J., Schmid, T. & Brune, B. Tumor necrosis factor–α causes accumulation of a ubiquitinated form of hypoxia inducible factor-1α through a nuclear factor-κB–dependent pathway. Mol. Biol. Cell 14, 2216–2225 (2003). source
- cites [33] Sogawa, K. et al. Inhibition of hypoxia-inducible factor 1 activity by nitric oxide donors in hypoxia. Proc. Natl. Acad. Sci. USA 95, 7368–7373 (1998). source
- cites [34] Sousa, M.S., Latini, F.R., Monteiro, H.P. & Cerutti, J.M. Arginase 2 and nitric oxide synthase: pathways associated with the pathogenesis of thyroid tumors. Free Radic. Biol. Med. 49, 997–1007 (2010). source
The Discussion and Fig. 3 (page unavailable) report that ARG2 knockdown reduced HIF-1 expression in thyroid carcinoma cells; the Discussion also links ARG2 inhibition to increased nitric oxide production. The paper does not establish that nitric oxide mediates an effect on HIF-1α protein stability or activity. The Adam17 and Mmp3 clauses are assigned to other citations, not this source. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [35] Rosenberg, G.A. Matrix metalloproteinases and their multiple roles in neurodegenerative diseases. Lancet Neurol. 8, 205–216 (2009). source
May combine two claims.
PremisecitationIn their high-altitude environments, yaks must not only maintain normal energy production under hypoxic pressure but must also optimize nutritional assimilation, as a consequence of the limited herbal resources available.
“In their high-altitude environments, yaks must not only maintain normal energy production under hypoxic pressure 7,37 but must also optimize nutritional assimilation, as a consequence of the limited herbal resources available 1 .”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [7] Wang, H. et al. Comparison of nitrogen metabolism in Yak (Bos grunniens) and indigenous cattle (Bos taurus) on the Qinghai-Tibetan Plateau. Asian-Aust. J. Anim. Sci. 24, 766–773 (2011). source
- cites [37] Han, X.T. et al. Effects of high altitude and season on fasting heat production in the yak Bos grunniens or Poephagus grunniens. Br. J. Nutr. 88, 189–197 (2002). source
- cites [1] Wiener, G., Han, J.L. & Long, R.J. The Yak 2nd edn. (Regional Office for Asia and the Pacific Food and Agriculture Organization of the United Nations, Bangkok, 2003).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown data§ The yak genome and adaptation to life at high altitudeApproximately 90% of the total sequence was covered by 2,083 scaffolds of >307 kb, with the largest scaffold spanning 8.8 Mb.
“Approximately 90% of the total sequence was covered by 2,083 scaffolds of >307 kb, with the largest scaffold spanning 8.8 Mb.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ The yak genome and adaptation to life at high altitudeThe yak draft assembly had contig N50 of 20.4 kb and scaffold N50 of 1.4 Mb.
“and contig and scaffold N50 sizes of 20.4 kb and 1.4 Mb, respectively (Supplementary Table 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ The yak genome and adaptation to life at high altitudeThe assembly metrics of the yak genome were comparable to those of other animal genome assemblies generated by next-generation sequencing technology.
“The assembly metrics of the yak genome were comparable to those of other animal genome assemblies generated by next-generation sequencing technology (Supplementary Table 3).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ The yak genome and adaptation to life at high altitudeGC content distributions of the yak genome were similar to those of the cattle genome.
“GC content distributions were similar to those of the cattle genome (Supplementary Fig. 3 and Supplementary Note).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUsing the branch-site likelihood ratio test, 85 positively selected genes (PSGs) were identified in yak and 95 PSGs in cattle.
“We identified 85 PSGs (in yak) and 95 PSGs (in cattle) (Fig. 3b and Supplementary Table 14).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOverall, yak and cattle genes were highly similar, with 45% of encoded proteins identical and mean protein similarity approximating 99.5%.
“Overall, yak and cattle genes were highly similar, with 45% of encoded proteins identical and mean protein similarity approximating 99.5% (Supplementary Figs. 9 and 10).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAverage synonymous (Ks) and nonsynonymous (Ka) gene divergence values between yak and cattle were 0.0114 and 0.00207, respectively, close to the values between human and chimpanzee genes.
“Average synonymous (Ks) and nonsynonymous (Ka) gene divergence values between yak and cattle were 0.0114 and 0.00207, respectively, close to the values between human and chimpanzee genes (Supplementary Fig. 11).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPhylogenetic analysis of genes encoding the Hig_1_n domain showed an expansion in the numbers of closely related Hig_1_n domains in both yak and cattle, as well as three additional copies in yak.
“Phylogenetic analysis of genes that encoded this domain showed an expansion in the numbers of the closely related Hig_1_n domains in both yak and cattle, as well as three additional copies in yak (Fig. 2b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data8,923 high-confidence 1:1:1 orthologous genes were identified in the yak, cattle and human genomes, most of which also correspond to genes in the horse, dog, mouse and chimpanzee genomes.
“We identified 8,923 high-confidence 1:1:1 orthologous genes in the yak, cattle and human genomes, most of which also correspond to genes in the horse, dog, mouse and chimpanzee genomes (Supplementary Fig. 8).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe yak-specific gene families contained 170 genes, 75 of which have known InterPro domains.
“The yak-specific gene families contained 170 genes, 75 of which have known InterPro domains.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data362 gene families were specific to yak and cattle, and 100 were found only in yak.
“362 gene families were specific to yak and cattle, and 100 were found only in yak (Fig. 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 81 genes examined in the response to hypoxia functional category (GO 0001666), 3 (3.7%) showed evidence of positive selection in yak (compared to none in cattle), which is significantly higher than the background level of positive selection across the genome (P < 0.05).
“Of 81 genes examined in the response to hypoxia functional category (GO 0001666), 3 (3.7%)showed evidence of positive selection in yak (compared to none in cattle), which is significantly higher than the background level of positive selection across the genome (P < 0.05) (Fig. 3b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGene family expansions in yak were significantly enriched for cytochrome-c oxidase activity (GO 0004129, P < 0.01) and ATP synthesis coupled proton transport (GO 0015986, P < 0.01).
“and energy metabolism (GO 0004129, cytochrome-c oxidase activity, P < 0.01; GO 0015986, ATP synthesis coupled proton transport, P < 0.01) (Supplementary Table 11).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGene family expansions in yak were significantly enriched for olfactory receptor activity (GO 0004984, P < 0.01) and sensory perception of taste (GO 0050909, P < 0.01).
“Functional categories that were enriched for significant gene family expansions mainly included sensory perception (gene ontology (GO) 0004984, olfactory receptor activity, P < 0.01; GO 0050909, sensory perception of taste, P < 0.01)”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown data§ The yak genome and adaptation to life at high altitudeThe genome assembly covered, without any obvious errors in assembly, 97% of 6 fosmids sequenced by Sanger sequencing and 98% of 81,020 Unigenes assembled from Illumina RNA sequencing data for 5 tissues, indicating coverage of most of the euchromatic regions.
“The genome assembly covered, without any obvious errors in assembly, 97% of 6 fosmids sequenced by Sanger sequencing and 98% of 81,020 Unigenes assembled from Illumina RNA sequencing (RNAseq) data for 5 tissues (Supplementary Fig. 2 and Supplementary Tables 4 and 5), indicating coverage of most of the euchromatic regions.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationYak and cattle both have 30 chromosomes and have similar karyotypes.
“Yak and cattle both have 30 chromosomes and have similar karyotypes 1 , which allows chromosomal assignments on the basis of homology, despite a lack of physical maps for yak chromosomes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Wiener, G., Han, J.L. & Long, R.J. The Yak 2nd edn. (Regional Office for Asia and the Pacific Food and Agriculture Organization of the United Nations, Bangkok, 2003).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Interpretationreasoning§ The yak genome and adaptation to life at high altitudeThese findings may have important implications for understanding adaptation to high altitude in other animal species and for hypoxia-related diseases in humans.
“These findings may have important implications for understanding adaptation to high altitude in other animal species and for hypoxia-related diseases in humans.”
Quote in the paperNot a substantial claim- Rests on an assumption: The single sequenced female domestic yak is representative of the domestic yak species for genomic comparisons and inferences about adaptation to high altitude.
May combine two claims.
Premisecitation§ The yak genome and adaptation to life at high altitudeYaks have numerous anatomical and physiological traits that equip them for life at high altitude, including large lungs and hearts, lack of hypoxic pulmonary vasoconstriction, increased foraging ability, strong environmental sense and high energy metabolism.
“Yaks have numerous anatomical and physiological traits that equip them for life at high altitude, including large lungs and hearts 1 , lack of hypoxic pulmonary vasoconstriction 5 , increased foraging ability 6 , strong environmental sense 1 and high energy metabolism 1,7 .”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [1] Wiener, G., Han, J.L. & Long, R.J. The Yak 2nd edn. (Regional Office for Asia and the Pacific Food and Agriculture Organization of the United Nations, Bangkok, 2003).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [5] Dolt, K.S. et al. cDNA cloning, gene organization and variant specific expression of HIF-1α in high altitude yak (Bos grunniens). Gene 386, 73–80 (2007). source
- cites [6] Shao, B. et al. Morphological adaptations of yak (Bos grunniens) tongue to the foraging environment of the Qinghai-Tibetan Plateau. J. Anim. Sci. 88, 2594–2603 (2010). source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe identification of genes required for natural high-altitude adaptation may help to improve current understanding, treatment and prevention of altitude sickness and other hypoxia-related diseases in humans.
“The identification of genes required for natural high-altitude adaptation may help to improve current understanding, treatment and prevention of altitude sickness and other hypoxia-related diseases in humans.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHif-1α triggers wide transcription of genes involved in angiogenesis, vasodilatation and energy metabolism.
“As a master regulator of the cellular response to hypoxia, Hif-1α triggers wide transcription of genes involved in angiogenesis, vasodilatation and energy metabolism [30][31][32][33][34][35] .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30][31][32][33][34][35]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataRNA integrity number (RIN) values of the RNA samples ranged from 8.6 to 10.0, with no sign of degradation.
“their RNA integrity number (RIN) values ranged from 8.6-10.0,with no sign of degradation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenLibraries that gave reads unevenly distributed among gene regions were discarded and replaced.
“Libraries that gave reads that were unevenly distributed among the gene regions (for example, showing a strong bias toward 5′ or 3′ regions) were discarded and replaced.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThis report of the yak genome sequence, together with the many SNVs identified, will facilitate genetic dissection of agronomically important traits in the species and will accelerate the genetic improvement of milk and meat production in this animal.
“In addition, this report of the yak genome sequence, together with the many SNVs identified, will facilitate genetic dissection of agronomically important traits in the species and will accelerate the genetic improvement of milk and meat production in this animal that is essential to the lifestyle and economy of the Tibetan people.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAlleles of human ADAM17 were previously shown to be present at significantly different frequencies in Tibetans and low-altitude dwellers, indicating a possible role for this gene in altitude adaptation.
“Notably, alleles of human ADAM17 were previously shown to be present at significant different frequencies in Tibetans and low-altitude dwellers 36 , indicating a possible role for this gene in altitude adaptation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Simonson, T.S. et al. Genetic evidence for high-altitude adaptation in Tibet. Science 329, 72–75 (2010). source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe sequence depth of multiple-copy genes was in the same range as for single-copy genes.
“The sequence depth of these multiple-copy genes was in the same range as for single-copy genes (Supplementary Fig. 7).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe existence of these blocks confirms the extensive synteny of the cattle and yak genomes and also allows the detection of breakpoint regions.
“The existence of these blocks confirms the extensive synteny of the cattle and yak genomes and also allows the detection of breakpoint regions (Supplementary Table 9).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCamk2b regulates the secretion of gastric acid in the rumen, which contributes to the assimilation of volatile fatty acids produced by ruminal fermentation; Gcnt3, Hsd17b12, Whsc1 and Glul have important roles in polysaccharide, fatty acid and amino-acid metabolism, respectively.
“Camk2b regulates the secretion of gastric acid in the rumen, which contributes to the assimilation of volatile fatty acids produced by ruminal fermentation [38][39][40][41][42] , and Gcnt3, Hsd17b12, Whsc1 and Glul have important roles in polysaccharide, fatty acid and amino-acid metabolism, respectively [43][44][45][46] .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [38][39][40][41][42]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [43][44][45][46]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
The single sequenced female domestic yak is representative of the domestic yak species for genomic comparisons and inferences about adaptation to high altitude.
“Genomic DNA was extracted from the liver of a female yak with an estimated inbreeding coefficient of 0.094 (ref. 1) that lived above 3,700 m in Huangyuan County of Qinghai Province, China.”
“In this study, we sequenced the genome of a female domestic yak using a whole-genome shotgun strategy and the Illumina HiSeq 2000 platform.”
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · 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
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
MRBAYES: Bayesian inference of phylogenetic trees.
Huelsenbeck, J. P., & Ronquist, F. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.754 · Cited by 21,937 · see citing works
MODELTEST: testing the model of DNA substitution.
Posada, D., & Crandall, K. A. (1998) · Bioinformatics · doi:10.1093/bioinformatics/14.9.817 · Cited by 19,820 · see citing works
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
PAML 4: Phylogenetic Analysis by Maximum Likelihood
Yang, Z. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm088 · Cited by 13,879 · see citing works
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,477 · see citing works
Pruitt, K. D., Tatusova, T. A., & Maglott, D. R. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl842 · Cited by 4,441 · see citing works
Pruitt, K., Tatusova, T., & Maglott, D. (2004) · Nucleic Acids Res. · doi:10.1093/nar/gki025 · Cited by 3,248 · see citing works
GeneWise and GenomewisePreprint
Birney, E., Clamp, M. E., & Durbin, R. M. (2004) · Genome Research · doi:10.1101/gr.1865504 · Cited by 2,799 · see citing works
Regulation of angiogenesis by hypoxia: role of the HIF system
Pugh, C. W., & Ratcliffe, P. J. (2003) · Nature Medicine · doi:10.1038/nm0603-677 · Cited by 2,520 · see citing works
Initial sequence of the chimpanzee genome and comparison with the human genome
The Chimpanzee Sequencing and Analysis Consortium (2005) · Nature · doi:10.1038/nature04072 · Cited by 2,459 · see citing works
CAFE: a computational tool for the study of gene family evolution
De Bie, T., Cristianini, N., Demuth, J. P., & Hahn, M. W. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl097 · Cited by 1,790 · see citing works
Zhang, J. (2005) · Molecular Biology and Evolution · doi:10.1093/molbev/msi237 · Cited by 1,785 · see citing works
Self-citationGene prediction with a hidden Markov model and a new intron submodel
Stanke, M., & Waack, S. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg1080 · Cited by 1,643 · see citing works
A Whole-Genome Assembly of Drosophila
Myers, E. W., Sutton, G. G., Delcher, A. L., Dew, I. M., Fasulo, D., Flanigan, M. J., Kravitz, S. A., Mobarry, C. M., Reinert, K., Remington, K., et al. (2000) · Science · doi:10.1126/science.287.5461.2196 · Cited by 1,533 · see citing works
Aligning Multiple Genomic Sequences With the Threaded Blockset Aligner
Blanchette, M., Kent, W. J., Riemer, C., Elnitski, L., Smit, A. F. A., Roskin, K. M., Baertsch, R., Rosenbloom, K., Clawson, H., Green, E. D., et al. (2004) · Genome Research · doi:10.1101/gr.1933104 · Cited by 1,452 · see citing works
Evolutionary and biomedical insights from the rhesus macaque genome.
Gibbs, R. A., Rogers, J., Katze, M. G., Bumgarner, R., Weinstock, G. M., Mardis, E. R., Remington, K. A., Strausberg, R. L., Venter, J. C., Wilson, R. K., et al. (2007) · Science · doi:10.1126/science.1139247 · Cited by 1,403 · see citing works
Self-citationThe Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution
The Bovine Genome Sequencing and Analysis Consortium, Elsik, C. G., Tellam, R. L., Worley, K. C., Gibbs, R. A., Muzny, D. M., Weinstock, G. M., Adelson, D. L., Eichler, E. E., Elnitski, L., et al. (2009) · Science · doi:10.1126/science.1169588 · Cited by 1,287 · see citing works
Self-citationGenetic Evidence for High-Altitude Adaptation in Tibet
Simonson, T. S., Yang, Y., Huff, C. D., Yun, H., Qin, G., Witherspoon, D. J., Bai, Z., Lorenzo, F. R., Xing, J., Jorde, L. B., et al. (2010) · Science · doi:10.1126/science.1189406 · Cited by 1,227 · see citing works
The sequence and de novo assembly of the giant panda genome
Li, R., Fan, W., Tian, G., Zhu, H., He, L., Cai, J., Huang, Q., Cai, Q., Li, B., Bai, Y., et al. (2010) · Nature · doi:10.1038/nature08696 · Cited by 1,180 · see citing works
Self-citationAb initio Gene Finding in Drosophila Genomic DNAPreprint
Salamov, A. A., & Solovyev, V. V. (2000) · Genome Research · doi:10.1101/gr.10.4.516 · Cited by 1,112 · see citing works
Factors That Alter Rumen Microbial Ecology
Russell, J. B., & Rychlik, J. L. (2001) · Science · doi:10.1126/science.1058830 · Cited by 954 · see citing works
SNP detection for massively parallel whole-genome resequencing
Li, R., Li, Y., Fang, X., Yang, H., Wang, J., Kristiansen, K., & Wang, J. (2009) · Genome Research · doi:10.1101/gr.088013.108 · Cited by 944 · see citing works
Self-citationThe diploid genome sequence of an Asian individual
Wang, J., Wang, W., Li, R., Li, Y., Tian, G., Goodman, L., Fan, W., Zhang, J., Li, J., Zhang, J., et al. (2008) · Nature · doi:10.1038/nature07484 · Cited by 924 · see citing works
Self-citationAn algorithm for progressive multiple alignment of sequences with insertions
Löytynoja, A., & Goldman, N. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409137102 · Cited by 885 · see citing works
Two routes to functional adaptation: Tibetan and Andean high-altitude natives
Beall, C. M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701985104 · Cited by 830 · see citing works
Genome Sequence, Comparative Analysis, and Population Genetics of the Domestic Horse
Wade, C. M., Giulotto, E., Sigurdsson, S., Zoli, M., Gnerre, S., Imsland, F., Lear, T. L., Adelson, D. L., Bailey, E., Bellone, R. R., et al. (2009) · Science · doi:10.1126/science.1178158 · Cited by 822 · see citing works
Self-citationThe G protein-coupled receptor repertoires of human and mouse
Vassilatis, D. K., Hohmann, J. G., Zeng, H., Li, F., Ranchalis, J., Mortrud, M. T., Brown, A., Rodriguez, S. S., Weller, J. R., Wright, A. C., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0230374100 · Cited by 779 · see citing works
Diversity of Human Copy Number Variation and Multicopy Genes
Sudmant, P. H., Kitzman, J. O., Antonacci, F., Alkan, C., Malig, M., Tsalenko, A., Sampas, N., Bruhn, L., Shendure, J., 1000 Genomes Project, et al. (2010) · Science · doi:10.1126/science.1197005 · Cited by 667 · see citing works
Allen, M. S., Bradford, B. J., & Oba, M. (2009) · Journal of Animal Science · doi:10.2527/jas.2009-1779 · Cited by 633 · see citing works
Matrix metalloproteinases and their multiple roles in neurodegenerative diseases
Rosenberg, G. A. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70016-x · Cited by 594 · see citing works
Patterns of Positive Selection in Six Mammalian Genomes
Kosiol, C., Vinař, T., da Fonseca, R. R., Hubisz, M. J., Bustamante, C. D., Nielsen, R., & Siepel, A. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000144 · Cited by 576 · see citing works
Hypoxia-induced gene expression profiling in the euryoxic fish <i>Gillichthys mirabilis</i>
Gracey, A. Y., Troll, J. V., & Somero, G. N. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.4.1993 · Cited by 561 · see citing works
TreeFam: a curated database of phylogenetic trees of animal gene families
Li, H. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj118 · Cited by 523 · see citing works
New developments in the InterPro database
Mulder, N., Apweiler, R., Attwood, T. K., Bairoch, A., Bateman, A. G., Binns, D., Peer Bork, B., Buillard, V., Cerutti, L., Copley, R. R., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl841 · Cited by 508 · see citing works
Hsu, F., Kent, W. J., Clawson, H., Kuhn, R. M., Diekhans, M., & Haussler, D. H. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl048 · Cited by 503 · see citing works
The genome of the extremophile crucifer Thellungiella parvula
Dassanayake, M., Oh, D., Haas, J. S., Hernandez, A. G., Hong, H., Ali, S., Yun, D., Bressan, R. A., Zhu, J., Bohnert, H. J., et al. (2011) · Nature Genetics · doi:10.1038/ng.889 · Cited by 370 · see citing works
Hersey, S. J., & Sachs, G. M. (1995) · Physiological Reviews · doi:10.1152/physrev.1995.75.1.155 · Cited by 363 · see citing works
The vertebrate genome annotation (Vega) database
Wilming, L. G., Gilbert, J. G. R., Howe, K., Trevanion, S. J., Hubbard, T., & Harrow, J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm987 · Cited by 352 · see citing works
HIF-1 regulation: not so easy come, easy go
Koh, M. Y., Spivak-Kroizman, T. R., & Powis, G. (2008) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2008.08.002 · Cited by 339 · see citing works
Creating a honey bee consensus gene set
Elsik, C. G., Mackey, A. J., Reese, J., Milshina, N. V., Roos, D. S., & Weinstock, G. M. (2007) · Genome biology · doi:10.1186/gb-2007-8-1-r13 · Cited by 327 · see citing works
Glycerolipid Metabolism and Signaling in Health and Disease
Prentki, M., & Madiraju, S. R. M. (2008) · Endocrine Reviews · doi:10.1210/er.2008-0007 · Cited by 322 · see citing works
Li, Y., Trojer, P., Xu, C., Cheung, P., Kuo, A. J., Drury, W. J., Qiao, Q., Neubert, T. A., Xu, R.-M., Gozani, O., et al. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.034462 · Cited by 292 · see citing works
Inhibition of hypoxia-inducible factor 1 activity by nitric oxide donors in hypoxia
Sogawa, K., Numayama-Tsuruta, K., Ema, M., Abe, M., Abe, H., & Fujii-Kuriyama, Y. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.13.7368 · Cited by 224 · see citing works
Yeh, J., Ong, E., & Fukuda, M. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.5.3215 · Cited by 222 · see citing works
More genes underwent positive selection in chimpanzee evolution than in human evolution
Bakewell, M. A., Shi, P., & Zhang, J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701705104 · Cited by 219 · see citing works
Self-citationIdentification of Two Mammalian Reductases Involved in the Two-carbon Fatty Acyl Elongation Cascade
Moon, Y.-A., & Horton, J. D. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m211684200 · Cited by 214 · see citing works
Mechanisms of Hemoglobin Adaptation to High Altitude Hypoxia
Storz, J. F., & Moriyama, H. (2008) · High Altitude Medicine & Biology · doi:10.1089/ham.2007.1079 · Cited by 211 · see citing works
Larkin, D. M., Pape, G., Donthu, R., Auvil, L., Welge, M., & Lewin, H. A. (2009) · Genome Research · doi:10.1101/gr.086546.108 · Cited by 184 · see citing works
Self-citationZhou, J., Schmid, T., & Brüne, B. (2003) · Molecular Biology of the Cell · doi:10.1091/mbc.e02-09-0598 · Cited by 177 · see citing works
Weimer, P. J., Russell, J. B., & Muck, R. E. (2009) · Bioresource Technology · doi:10.1016/j.biortech.2009.04.075 · Cited by 157 · see citing works
The role of mitochondrial respiration in physiological and evolutionary adaptation
Das, J. (2006) · BioEssays · doi:10.1002/bies.20463 · Cited by 156 · see citing works
Origin of mitochondrial DNA diversity of domestic yaks
Guo, S., Savolainen, P., Su, J., Zhang, Q., Qi, D., Zhou, J., Zhong, Y., Zhao, X., & Liu, J. (2006) · BMC Evolutionary Biology · doi:10.1186/1471-2148-6-73 · Cited by 116 · see citing works
Self-citationHecht, H. H., Kuida, H., Lange, R. L., et al. (1962) · The American Journal of Medicine · doi:10.1016/0002-9343(62)90288-7 · Cited by 105 · see citing works
(2003) · PubMed · Cited by 105 · see citing works
Shao, B., Long, R., Ding, Y., Wang, J., Ding, L., & Wang, H. (2010) · Journal of Animal Science · doi:10.2527/jas.2009-2398 · Cited by 105 · see citing works
Self-citationTACE/ADAM‐17 maturation and activation of sheddase activity require proprotein convertase activity
Srour, N., Lebel, A., McMahon, S., Fournier, I., Fugère, M., Day, R., & Dubois, C. M. (2003) · FEBS Letters · doi:10.1016/s0014-5793(03)01159-1 · Cited by 103 · see citing works
The genetic factor influencing pulmonary hypertension in cattle at high altitude
Weir, Ε. K., Tucker, A., Reeves, J. Τ., Will, D. H., & Grover, R. F. (1974) · Cardiovascular Research · doi:10.1093/cvr/8.6.745 · Cited by 88 · see citing works
Wang, Z., Shen, X., Liu, B., Su, J., Yonezawa, T., Yu, Y., Guo, S., Ho, S. Y. W., Vilà, C., Hasegawa, M., et al. (2010) · Journal of Biogeography · doi:10.1111/j.1365-2699.2010.02379.x · Cited by 79 · see citing works
Self-citationDolt, K. S., Mishra, M. K., Karar, J., Baig, M. A., Ahmed, Z., & Pasha, M. A. Q. (2007) · Gene · doi:10.1016/j.gene.2006.08.004 · Cited by 65 · see citing works
Wang, H., Long, R., Liang, J. B., Guo, X., Ding, L., & Shang, Z. (2011) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.2011.10350 · Cited by 63 · see citing works
Self-citationRuminant Hepatic Metabolism of Volatile Fatty Acids, Lactate and Pyruvate
Armentano, L. E. (1992) · Journal of Nutrition · doi:10.1093/jn/122.suppl_3.838 · Cited by 60 · see citing works
Inherited susceptibility of cattle to high-altitude pulmonary hypertension
Will, D. H., Hicks, J., Card, C. S., & Alexander, A. F. (1975) · Journal of Applied Physiology · doi:10.1152/jappl.1975.38.3.491 · Cited by 56 · see citing works
Inhibition of Glutamine Synthetase in the Mouse Kidney
Conjard‐Duplany, A., Komaty, O., Delage, H., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m302885200 · Cited by 51 · see citing works
Effects of Environment on Phenotypic and Genetic Variation in Sheep
Osman, A. H., & Bradford, G. E. (1965) · Journal of Animal Science · doi:10.2527/jas1965.243766x · Cited by 43 · see citing works
Arginase 2 and nitric oxide synthase: Pathways associated with the pathogenesis of thyroid tumors
Sousa, M. S. A., Latini, F. R. M., Monteiro, H. P., & Cerutti, J. M. (2010) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2010.06.006 · Cited by 39 · see citing works
Han, X.-T., Xie, A.-Y., Bi, X.-C., Liu, S.-J., & Hu, L.-H. (2002) · British Journal of Nutrition · doi:10.1079/bjn2002610 · Cited by 37 · see citing works
Transcription strength and halophytic lifestyle
Dassanayake, M., Oh, D., Hong, H., et al. (2010) · Trends in Plant Science · doi:10.1016/j.tplants.2010.10.006 · Cited by 33 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The sheep genome illuminates biology of the rumen and lipid metabolism
Jiang, Y., Xie, M., Chen, W., Talbot, R., Maddox, J. F., Faraut, T., Wu, C., Muzny, D. M., Li, Y., Zhang, W., et al. (2014) · Science · doi:10.1126/science.1252806 · Cited by 514 · see citing works
Self-citationLarge-scale ruminant genome sequencing provides insights into their evolution and distinct traits
Chen, L., Qiu, Q., Jiang, Y., Wang, K., Lin, Z., Li, Z., Bibi, F., Yang, Y., Wang, J., Nie, W., et al. (2019) · Science · doi:10.1126/science.aav6202 · Cited by 441 · see citing works
Self-citationChen, N., Cai, Y., Chen, Q., Li, R., Wang, K., Huang, Y., Hu, S., Huang, S., Zhang, H., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04737-0 · Cited by 403 · see citing works
Self-citationThe tiger genome and comparative analysis with lion and snow leopard genomes
Cho, Y. S., Hu, L., Hou, H., Lee, H., Xu, J., Kwon, S., Oh, S., Kim, H.-M., Jho, S., Kim, S., et al. (2013) · Nature Communications · doi:10.1038/ncomms3433 · Cited by 312 · see citing works
Self-citationOn the History of Cattle Genetic Resources
Felius, M., Beerling, M.-L., Buchanan, D., Theunissen, B., Koolmees, P., & Lenstra, J. (2014) · Diversity · doi:10.3390/d6040705 · Cited by 176 · see citing works
Self-citationYurchenko, A. A., Daetwyler, H. D., Yudin, N., Schnabel, R. D., Vander Jagt, C. J., Soloshenko, V., Lhasaranov, B., Popov, R., Taylor, J. F., & Larkin, D. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-31304-w · Cited by 117 · see citing works
Evolution and Domestication of the Bovini Species
Zhang, K., Lenstra, J. A., Zhang, S., Liu, W., & Liu, J. (2020) · Animal Genetics · doi:10.1111/age.12974 · Cited by 82 · see citing works
Self-citationVerma, P., Sharma, A., Sodhi, M., Thakur, K., Kataria, R. S., Niranjan, S. K., Bharti, V. K., Kumar, P., Giri, A., Kalia, S., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-25736-7 · Cited by 63 · see citing works
Mei, C., Wang, H., Liao, Q., Khan, R., Raza, S. H. A., Zhao, C., Wang, H., Cheng, G., Tian, W., Li, Y., et al. (2019) · Genomics · doi:10.1016/j.ygeno.2018.09.021 · Cited by 45 · see citing works
Upadhyay, M., Bortoluzzi, C., Barbato, M., Ajmone‐Marsan, P., Colli, L., Ginja, C., Sonstegard, T. S., Bosse, M., Lenstra, J. A., Groenen, M. A. M., et al. (2019) · Evolutionary Applications · doi:10.1111/eva.12770 · Cited by 45 · see citing works
Self-citationLiu, X., Li, Z., Yan, Y., Li, Y., Wu, H., Pei, J., Yan, P., Yang, R., Guo, X., & Lan, X. (2021) · Evolutionary Applications · doi:10.1111/eva.13168 · Cited by 23 · see citing works
Structural Variations Associated with Adaptation and Coat Color in Qinghai-Tibetan Plateau Cattle
Xia, X., Wang, F., Luo, X., Li, S., Lyu, Y., Zheng, Y., Ma, Z., Qu, K., Song, R., Liu, J., et al. (2025) · Advanced Science · doi:10.1002/advs.202503258 · Cited by 14 · see citing works
Convergent molecular evolution of thermogenesis and circadian rhythm in Arctic ruminants
Li, M., Li, X., Wu, Z., Zhang, G., Wang, N., Dou, M., Liu, S., Yang, C., Meng, G., Sun, H., et al. (2023) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2023.0538 · Cited by 12 · see citing works
Self-citationWu, X., Pei, J., Xiong, L., Ge, Q., Bao, P., Liang, C., Yan, P., & Guo, X. (2025) · BMC Genomics · doi:10.1186/s12864-025-11328-z · Cited by 10 · see citing works
- Authors
- Qiu, Q., Zhang, G., Ma, T., Qian, W., Wang, J., Ye, Z., Cao, C., Hu, Q., Kim, J., Larkin, D. M., Auvil, L., Capitanu, B., Ma, J., Lewin, H. A., Qian, X., Lang, Y., Zhou, R., Wang, L., Wang, K., Xia, J., Liao, S., Pan, S., Lu, X., Hou, H., Wang, Y., Zang, X., Yin, Y., Ma, H., Zhang, J., Wang, Z., Zhang, Y., Zhang, D., Yonezawa, T., Hasegawa, M., Zhong, Y., Liu, W., Zhang, Y., Huang, Z., Zhang, S., Long, R., Yang, H., Wang, J., Lenstra, J. A., Cooper, D. N., Wu, Y., Wang, J., Shi, P., Wang, J., & Liu, J.
- Affiliations
- Lanzhou University (CN)
- BGI Group (China) (CN)
- University of Illinois Urbana-Champaign (US)
- Fudan University (CN)
- Utrecht University (NL)
- University of Copenhagen (DK)
- Kunming Institute of Zoology (CN)
- Sichuan University (CN)
- Corresponding author
- Shi, Peng
- Liu, Jianquan
- ORCID
- Venue
- Nature Genetics
- Published
- 2012-07-01
- Volume
- 44
- Issue
- 8
- Pages
- 946-949
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2149716668
- Cited by
- 971
- References
- 70
- Citations by year
- 2026: 55 · 2025: 76 · 2024: 87 · 2023: 75 · 2022: 113 · 2021: 108 · 2020: 103 · 2019: 67 · 2018: 67 · 2017: 55 · 2016: 48 · 2015: 36 · 2014: 46 · 2013: 28 · 2012: 5
- FWCI
- 20.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Genetics (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Lanzhou University Institutional Repository (submittedVersion, cc-by-nc)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- National Human Genome Research Institute (R21 HG006464)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › High Altitude and Hypoxia
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- yak, high-altitude adaptation, hypoxia, gene family expansion, energy metabolism, positive selection
- MeSH terms
- Acclimatization, Altitude, Animals, Base Sequence, Cattle, DNA, Female, Multigene Family, Molecular Sequence Data, Phylogeny, Selection, Genetic, Species Specificity, Genome, Evolution, Molecular
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 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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