Global Genetic Diversity, Introgression, and Evolutionary Adaptation of Indicine Cattle Revealed by Whole Genome Sequencing
Open accessAbstract
Indicine cattle, also referred to as zebu (Bos taurus indicus), play a central role in pastoral communities across a wide range of agro-ecosystems, from extremely hot semiarid regions to hot humid tropical regions. However, their adaptive genetic changes following their dispersal into East Asia from the Indian subcontinent have remained poorly documented. Here, we characterize their global genetic diversity using high-quality whole-genome sequencing data from 354 indicine cattle of 57 breeds/populations, including major indicine phylogeographic groups worldwide. We reveal their probable migration into East Asia was along a coastal route rather than inland routes and we detected introgression from other bovine species. Genomic regions carrying morphology-, immune-, and heat-tolerance-related genes underwent divergent selection according to Asian agro-ecologies. We identify distinct sets of loci that contain promising candidate variants for adaptation to hot semi-arid and hot humid tropical ecosystems. Our results indicate that the rapid and successful adaptation of East Asian indicine cattle to hot humid environments was promoted by localized introgression from banteng and/or gaur. Our findings provide insights into the history and environmental adaptation of indicine cattle.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The molecular divergence estimate strongly supports two independent domestication events involving distinct aurochs subspecies.
“strongly supporting the two independent domestication events involving distinct aurochs subspecies.”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
The Results section, “Demographic history of indicine cattle” (page unavailable), estimates that indicine groups diverged from taurine groups 251.5–301.2 thousand years ago. The Introduction describes separate taurine and indicine domestications, but identifies the resulting cattle—not their aurochs ancestors—as distinct subspecies. It does not explicitly conclude that the divergence estimate strongly supports domestication of distinct aurochs subspecies. (LLM, conf=0.85)
Experimental — accuracy not yet measuredMolecular divergence of taurine and indicine lineages occurred approximately 201,000-301,200 years ago.
“Molecular divergence of taurine and indicine (also referred to as zebu) lineages is estimated to have occurred at approximately 201,000–301,200 years ago [5,7,8,9,10], strongly supporting the two independent domestication events involving distinct aurochs subspecies.”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
The Results section, “Demographic history of indicine cattle” (page not available), estimates that indicine groups diverged from taurine groups 251,500–301,200 years ago. This supports the divergence claim and its upper bound, but not the cited lower bound of 201,000 years. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe divergence of Y3a from Y3b, as well as sub-haplogroups within indicine mitogenomes, occurred approximately 23,100-24,800 years ago, while South Asian indicine ancestry diverged from East Asian and African indicine ancestry approximately 10,300-40,100 and 11,800 years ago, respectively.
“The divergence of Y3a from Y3b, as well as sub-haplogroups within indicine mitogenomes, occurred approximately 23,100–24,800 years ago, while South Asian indicine ancestry diverged from East Asian and African indicine ancestry approximately 10,300–40,100 and 11,800 years ago, respectively [9,10].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe introgression proportions of banteng, gaur, and yak ancestries into East Asian indicine or Tibetan taurine cattle ranged from 1.13% to 10.21%, 2.06% to 9.98%, and 0.05% to 2.94%, respectively.
“The introgression proportions of banteng (Bos javanicus), gaur (Bos gaurus), and yak (Bos mutus) ancestries into East Asian indicine or Tibetan taurine cattle ranged from 1.13% to 10.21%, 2.06% to 9.98%, and 0.05% to 2.94%, respectively [9,10].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
The Results section, “The indicine adaptation to the tropical, humid Asian environment” (page unavailable), gives the stated banteng and gaur ancestry ranges for East Asian indicine genomes. The copy includes yak genomes in the analysis, but the searched passages do not report the claimed 0.05%–2.94% yak ancestry range in Tibetan taurine cattle. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA previous study reported an expansion of cattle carrying the I1a sub-haplogroup around 3730 years ago, indicating a marked increase in zebu cattle dispersal and exchange frequency beginning approximately 4000 years ago.
“A previous study also reported an expansion of cattle carrying I1a sub-haplogroup around 3730 years ago [10], indicating a marked increase in zebu cattle dispersal and exchange frequency beginning approximately 4000 years ago.”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
The Results (Demographic history of indicine cattle; page unavailable) report an I1a population increase at approximately 3.73 kya. The Discussion links I1a expansion to indicine entry into East Asia around 3–5 kya. The paper does not establish a marked increase in the frequency of cattle dispersal and exchange beginning around 4 kya. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Indochinese and Chinese cattle populations are dominant in the zebu ancestry, specifically Y-chromosomal sub-haplogroup Y3a and the maternal sub-haplogroup I1a.
“Indochinese and Chinese cattle populations are dominant in the zebu ancestry, specifically Y-chromosomal sub-haplogroup Y3a and the maternal sub-haplogroup I1a [10,60,61].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
The Results section (‘The Southeast Asian coast was the main entry point of indicine cattle into East Asia’) says Y-chromosomal Y3A3 and maternal I1a were found exclusively in Indochinese and Chinese cattle. The claim names Y3A instead of the more specific Y3A3; the paper reports Y3A as predominant in East Asian indicine and North-Central Chinese cattle, not as the paired sub-haplogroup in that finding. It also does not say that Indochinese and Chinese populations dominate zebu ancestry overall. (LLM, conf=0.84)
Experimental — accuracy not yet measuredGenomic signals of recent selection and adaptive introgression from banteng and gaur into East Asian indicine cattle have been identified; these candidate genes are involved in heat-sensing proteins (TRPA1), paracellular water transport and urine concentration regulation (ILDR), Ca2+ homeostasis (CASR), and resistance to tick-borne diseases (HBA, HBA1, HBQ1, HBM).
“Genomic signals of recent selection and adaptive introgression from banteng and gaur into East Asian indicine cattle have been identified. These candidate genes are involved in multiple functions: heat-sensing proteins (TRPA1), paracellular water transport and urine concentration regulation (ILDR), Ca2+ homeostasis (CASR), and resistance to tick-borne diseases (HBA, HBA1, HBQ1, HBM) [10].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIn light- and dark-coated South Asian indicine cattle breeds, pigmentation-related genes (LEF1, ASIP) and hair development genes (LIPH, FGF22) were under selection.
“In a comparison of light- and dark-coated South Asian indicine cattle breeds, pigmentation-related genes (LEF1, ASIP) were under selection, as well as hair development genes (LIPH, FGF22) [10].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
The Results section on South Asian indicine cattle reports selective sweeps near LEF1 and ASIP in light-coated breeds compared with dark-coated breeds. Table 1 in the Results identifies LIPH and FGF22 as hair-development genes under selection, but those findings come from a broader indicine-versus-taurine comparison, not the light-versus-dark South Asian breed comparison. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe autosomal genetic structure of modern cattle is primarily divided into six ancestries: European taurine, East Asian taurine, African taurine, South Asian or Indian indicine, East Asian or Chinese indicine, and African indicine ancestry.
“The autosomal genetic structure of modern cattle is primarily divided into six ancestries (Table 1): European taurine, East Asian taurine, African taurine, South Asian or Indian indicine, East Asian or Chinese indicine, and African indicine ancestry [9,10,31].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
Studies based on Y-chromosome microsatellites or SNP markers classify modern cattle paternal origins into taurine Y1, Y2 (Y2a and Y2b), and indicine Y3 (Y3a and Y3b) haplogroups.
“Studies based on Y-chromosome microsatellites or SNP markers classify modern cattle paternal origins into taurine Y1, Y2 (Y2a and Y2b), and indicine Y3 (Y3a and Y3b) haplogroups [9,10].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
A branch of the Indian zebu I1 haplogroup formed the Chinese zebu I1a sub-haplogroup, while the genome-wide nucleotide diversity was higher in East Asian indicine cattle than in South Asian indicine cattle.
“A branch of the Indian zebu I1 haplogroup formed the Chinese zebu I1a sub-haplogroup, while the genome-wide nucleotide diversity was higher in East Asian indicine cattle than in South Asian indicine cattle [10].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works
ESTIMATING F -STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb05657.x · Cited by 18,909 · see citing works
The variant call format and VCFtools
Danecek, P., Auton, A., Abecasis, G. R., Albers, C. A., Banks, E., DePristo, M. A., Handsaker, R. E., Lunter, G. A., Marth, G., Sherry, S. T., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr330 · Cited by 16,008 · see citing works
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582 · see citing works
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816 · see citing works
Median-joining networks for inferring intraspecific phylogenies
Bandelt, H. J., Forster, P., & Rohl, A. (1999) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a026036 · Cited by 11,742 · see citing works
Posterior summarization in Bayesian phylogenetics using tracer 1.7
Rambaut, A., Drummond, A. J., Xie, D., Baele, G., & Suchard, M. A. (2018) · Systematic Biology · doi:10.1093/sysbio/syy032 · Cited by 11,159 · see citing works
Bayesian Phylogenetics with BEAUti and the BEAST 1.7
Drummond, A. J., Suchard, M. A., Xie, D., & Rambaut, A. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss075 · Cited by 9,991 · see citing works
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898 · see citing works
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280 · see citing works
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., Heled, J., Jones, G., Kühnert, D., De Maio, N., et al. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006650 · Cited by 4,556 · see citing works
Browning, S. R., & Browning, B. L. (2007) · The American Journal of Human Genetics · doi:10.1086/521987 · Cited by 3,138 · see citing works
Inference of population splits and mixtures from genome-wide allele frequency data
Pickrell, J. K., & Pritchard, J. K. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002967 · Cited by 2,731 · see citing works
Bu, D., Luo, H., Huo, P., Wang, Z., Zhang, S., He, Z., Wu, Y., Zhao, L., Liu, J., Guo, J., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab447 · Cited by 1,887 · see citing works
Self-citationSequencing of 50 Human Exomes Reveals Adaptation to High Altitude
Yi, X., Liang, Y., Huerta-Sanchez, E., Jin, X., Cuo, Z. X. P., Pool, J. E., Xu, X., Jiang, H., Vinckenbosch, N., Korneliussen, T. S., et al. (2010) · Science · doi:10.1126/science.1190371 · Cited by 1,611 · see citing works
Self-citationAltitude adaptation in Tibetans caused by introgression of Denisovan-like DNA
Huerta-Sánchez, E., Jin, X., Asan, Bianba, Z., Peter, B. M., Vinckenbosch, N., Liang, Y., Yi, X., He, M., Somel, M., et al. (2014) · Nature · doi:10.1038/nature13408 · Cited by 1,208 · see citing works
Dsuite ‐ Fast <i>D</i> ‐statistics and related admixture evidence from VCF files
Malinsky, M., Matschiner, M., & Svardal, H. (2021) · Molecular Ecology Resources · doi:10.1111/1755-0998.13265 · Cited by 992 · see citing works
RFMix: A Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference
Maples, B. K., Gravel, S., Kenny, E. E., & Bustamante, C. D. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.06.020 · Cited by 900 · see citing works
Evidence for Two Independent Domestications of Cattle
Loftus, R. T., MacHugh, D. E., Bradley, D. G., Sharp, P. M., & Cunningham, P. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.7.2757 · Cited by 812 · see citing works
selscan: An Efficient Multithreaded Program to Perform EHH-Based Scans for Positive Selection
Szpiech, Z. A., & Hernandez, R. D. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu211 · Cited by 780 · see citing works
DensiTree: making sense of sets of phylogenetic trees
Bouckaert, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq110 · Cited by 704 · see citing works
ggplot2: Elegant Graphics for Data Analysis by WICKHAM, H.
Wilkinson, L. (2011) · Biometrics · doi:10.1111/j.1541-0420.2011.01616.x · Cited by 615 · see citing works
A TRP channel trio mediates acute noxious heat sensing
Vandewauw, I., Clercq, K. D., Mulier, M., Held, K., Pinto, S., Ranst, N. V., Segal, A., Voet, T., Vennekens, R., Zimmermann, K., et al. (2018) · Nature · doi:10.1038/nature26137 · Cited by 473 · see citing works
Melanopsin: an exciting photopigment
Hankins, M. W., Peirson, S. N., & Foster, R. G. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2007.11.002 · Cited by 426 · see citing works
Chen, 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-citationUV-induced mutation hotspots occur at DNA damage hotspots
Brash, D. E., & Haseltine, W. A. (1982) · Nature · doi:10.1038/298189a0 · Cited by 393 · see citing works
Abrupt weakening of the summer monsoon in northwest India 4100 yr ago
Dixit, Y., Hodell, D. A., & Petrie, C. A. (2014) · Geology · doi:10.1130/g35236.1 · Cited by 390 · see citing works
Bechara, E., Sebestyén, E., Bernardis, I., Eyras, E., & Valcárcel, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.11.010 · Cited by 374 · see citing works
Ai, H., Fang, X., Yang, B. J., Huang, Z., Chen, H., Mao, L., Zhang, F., Zhang, L., Cui, L., He, W., et al. (2015) · Nature Genetics · doi:10.1038/ng.3199 · Cited by 374 · see citing works
Self-citationYang, J. H., Li, W., Lv, F., He, S., Tian, S., Peng, W., Sun, Y., Zhao, Y., Tu, X.-L., Zhang, M., et al. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw129 · Cited by 342 · see citing works
Self-citationS weep F inder 2: increased sensitivity, robustness and flexibility
DeGiorgio, M., Huber, C. D., Hubisz, M. J., Hellmann, I., & Nielsen, R. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw051 · Cited by 322 · see citing works
Mitochondrial Genomes of Extinct Aurochs Survive in Domestic Cattle
Achilli, A., Olivieri, A., Pellecchia, M., Uboldi, C., Colli, L., Al-Zahery, N., Accetturo, M., Pala, M., Kashani, B. H., Perego, U. A., et al. (2008) · Current Biology · doi:10.1016/j.cub.2008.01.019 · Cited by 290 · see citing works
Self-citationMSMC and MSMC2: The Multiple Sequentially Markovian Coalescent
Schiffels, S., & Wang, K. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0199-0_7 · Cited by 260 · see citing works
Impacts of heat stress on global cattle production during the 21st century: a modelling study
Thornton, P., Nelson, G., Mayberry, D., & Herrero, M. (2022) · The Lancet Planetary Health · doi:10.1016/s2542-5196(22)00002-x · Cited by 253 · see citing works
Wrap53, a Natural p53 Antisense Transcript Required for p53 Induction upon DNA Damage
Mahmoudi, S., Henriksson, S., Corcoran, M., Méndez‐Vidal, C., Wiman, K. G., & Farnebo, M. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.11.027 · Cited by 250 · see citing works
Zebu Cattle Are an Exclusive Legacy of the South Asia Neolithic
Chen, S., Lin, B.-Z., Baig, M., Mitra, B., Lopes, R. J., Santos, A. M., Magee, D. A., Azevedo, M., Tarroso, P., Sasazaki, S., et al. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msp213 · Cited by 248 · see citing works
Wrap53, a Natural p53 Antisense Transcript Required for p53 Induction upon DNA Damage
Mahmoudi, S., Henriksson, S., Corcoran, M., Méndez‐Vidal, C., Wiman, K. G., & Farnebo, M. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.01.028 · Cited by 248 · see citing works
Pervasive introgression facilitated domestication and adaptation in the Bos species complex
Wu, D., Ding, X., Wang, S., Wójcik, J. M., Zhang, Y., Tokarska, M., Li, Y., Wang, M.-S., Faruque, O., Nielsen, R., et al. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0562-y · Cited by 233 · see citing works
Self-citationAncient Cattle Genomics, Origins, and Rapid Turnover in the Fertile Crescent
Verdugo, M. P., Mullin, V. E., Scheu, A., Mattiangeli, V., Daly, K. G., Maisano Delser, P., Hare, A. J., Burger, J., Collins, M. J., Kehati, R., et al. (2019) · Science · doi:10.1126/science.aav1002 · Cited by 227 · see citing works
Tomizawa, Y., Sekido, Y., Kondo, M., Gao, B., Yokota, J., Roche, J., Drabkin, H. A., Lerman, M. I., Gazdar, A. F., & Minna, J. D. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.231490898 · Cited by 208 · see citing works
Human genetics and malaria resistance
Kariuki, S. N., & Williams, T. N. (2020) · Human Genetics · doi:10.1007/s00439-020-02142-6 · Cited by 207 · see citing works
Genome sequences of wild and domestic bactrian camels
Jirimutu, Wang, Z., Ding, G., Chen, G., Sun, Y., Sun, Z., Zhang, H., Wang, L., Hasi, S., Zhang, Y., et al. (2012) · Nature Communications · doi:10.1038/ncomms2192 · Cited by 205 · see citing works
Self-citationHuman Hair Growth Deficiency Is Linked to a Genetic Defect in the Phospholipase Gene LIPH
Kazantseva, A. V., Goltsov, A. Y., Зинченко, Р. А., Grigorenko, A. P., Викторовна, А. А., Moliaka, Y. K., Kirillov, A. G., Guo, Z., Lyle, S. R., Ginter, E. K., et al. (2006) · Science · doi:10.1126/science.1133276 · Cited by 203 · see citing works
Signatures of Archaic Adaptive Introgression in Present-Day Human Populations
Racimo, F., Marnetto, D., & Huerta-Sánchez, E. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw216 · Cited by 200 · see citing works
Modern taurine cattle descended from small number of near-eastern founders
Bollongino, R., Burger, J., Powell, A., Mashkour, M., Vigne, J.-D., & Thomas, M. G. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss092 · Cited by 188 · see citing works
Song, K., Backs, J., McAnally, J., Qi, X., Gerard, R. D., Richardson, J. A., Hill, J. A., Bassel‐Duby, R., & Olson, E. N. (2006) · Cell · doi:10.1016/j.cell.2006.02.048 · Cited by 179 · see citing works
On 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-citationBigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies
Abuín, J., Pichel, J. C., Pena, T., & Amigo, J. (2015) · Bioinform. · doi:10.1093/bioinformatics/btv506 · Cited by 141 · see citing works
The Mosaic Genome of Indigenous African Cattle as a Unique Genetic Resource for African Pastoralism
Kim, K., Kwon, T., Dessie, T., Yoo, D., Mwai, O. A., Jang, J., Sung, S., Lee, S., Salim, B., Jung, J., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0694-2 · Cited by 140 · see citing works
Self-citationAdaptation strategies: ruminants
Gaughan, J. B., Sejian, V., Mader, T. L., & Dunshea, F. R. (2018) · Animal Frontiers · doi:10.1093/af/vfy029 · Cited by 131 · see citing works
Međugorac, I., Graf, A., Grohs, C., Rothammer, S., Zagdsuren, Y., Александровна, Г. Е., Zinovieva, N. A., Barbieri, J., Seichter, D., Ruß, I., et al. (2017) · Nature Genetics · doi:10.1038/ng.3775 · Cited by 129 · see citing works
Genomic clues of the evolutionary history of <i>Bos indicus</i> cattle
Utsunomiya, Y. T., Milanesi, M., Fortes, M. R. S., Porto‐Neto, L. R., Utsunomiya, A. T. H., Silva, M. V. G. B., Garcia, J. F., & Ajmone‐Marsan, P. (2019) · Animal Genetics · doi:10.1111/age.12836 · Cited by 128 · see citing works
Apela Regulates Fluid Homeostasis by Binding to the APJ Receptor to Activate Gi Signaling
Deng, C., Chen, H., Yang, N., Feng, Y., & Hsueh, A. J. W. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.648238 · Cited by 121 · see citing works
Self-citationDynamics and impact of tick-borne diseases of cattle
Brown, C. G. D. (1997) · Tropical Animal Health and Production · doi:10.1007/bf02632905 · Cited by 97 · see citing works
Ling, S., Shi, P., Liu, S., Meng, X., Zhou, Y., Sun, W., Chang, S., Zhang, X., Zhang, L., Shi, C., et al. (2021) · Cell Research · doi:10.1038/s41422-021-00474-0 · Cited by 94 · see citing works
Top-down control of sweet and bitter taste in the mammalian brain
Jin, H., Fishman, Z. H., Ye, M., Wang, L., & Zuker, C. S. (2021) · Cell · doi:10.1016/j.cell.2020.12.014 · Cited by 91 · see citing works
Whole-exome sequencing identifies MST1R as a genetic susceptibility gene in nasopharyngeal carcinoma
Dai, W., Zheng, H., Cheung, A. K. L., Tang, C. S.-M., Ko, J. M. Y., Wong, B. W. Y., Leong, M. M., Sham, P. C., Cheung, F. M. F., Kwong, D. L., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523436113 · Cited by 88 · see citing works
Self-citationSemaphorin SEMA3F Affects Multiple Signaling Pathways in Lung Cancer Cells
Potiron, V. A., Sharma, G. D., Nasarre, P., Clarhaut, J. A., Augustin, H. G., Gemmill, R. M., Roche, J., & Drabkin, H. A. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-3612 · Cited by 83 · 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-citationNakatake, Y., Hoshikawa, M., Asaki, T., Kassai, Y., & Itoh, N. (2001) · Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression · doi:10.1016/s0167-4781(00)00302-x · Cited by 77 · see citing works
Genetic variation in Mon1a affects protein trafficking and modifies macrophage iron loading in mice
Wang, F., Paradkar, P. N., Custodio, Á. O., Ward, D. M., Fleming, M. D., Campagna, D. R., Roberts, K. A., Boyartchuk, V., Dietrich, W. F., Kaplan, J., et al. (2007) · Nature Genetics · doi:10.1038/ng2059 · Cited by 72 · see citing works
Self-citationLenstra, J. A., Ajmone‐Marsan, P., Beja‐Pereira, A., Bollongino, R., Bradley, D. G., Colli, L., Gaetano, A. D., Edwards, C. J., Felius, M., Ferretti, L., et al. (2014) · Diversity · doi:10.3390/d6010178 · Cited by 71 · see citing works
Self-citationTransmembrane protein 88: a Wnt regulatory protein that specifies cardiomyocyte development
Palpant, N. J., Pabon, L., Rabinowitz, J. S., Hadland, B., Stoick-Cooper, C. L., Paige, S. L., Bernstein, I. D., Moon, R. T., & Murry, C. E. (2013) · Development · doi:10.1242/dev.094789 · Cited by 69 · see citing works
The muscle-specific enolase is an early marker of human myogenesis
Fougerousse, F., Edom‐Vovard, F., Merkulova‐Rainon, T., Ott, M., Durand, M., Butler-Browne, G. S., & Keller, A. (2001) · Journal of Muscle Research and Cell Motility · doi:10.1023/a:1015008208007 · Cited by 57 · see citing works
Microarray Analysis and Functional Genomics Identify Novel Components of Melanopsin Signaling
Peirson, S. N., Oster, H., Jones, S. L., Leitges, M., Hankins, M. W., & Foster, F. (2007) · Current Biology · doi:10.1016/j.cub.2007.07.045 · Cited by 53 · see citing works
Chen, N., Ren, L., Du, L., Hou, J., Mullin, V. E., Wu, D., Zhao, X., Li, C., Huang, J.-H., Qi, X., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011696117 · Cited by 50 · see citing works
Self-citationGenetic variation drives seasonal onset of hibernation in the 13-lined ground squirrel
Grabek, K. R., Cooke, T. F., Epperson, L. E., Spees, K., Cabral, G. F., Sutton, S. C., Merriman, D. K., Martin, S. L., & Bustamante, C. D. (2019) · Communications Biology · doi:10.1038/s42003-019-0719-5 · Cited by 45 · see citing works
Genomic Analyses Reveal Genetic Adaptations to Tropical Climates in Chickens
Tian, S., Zhou, X., Phuntsok, T., Zhao, N., Zhang, D., Ning, C., Li, D., & Zhao, H. (2020) · iScience · doi:10.1016/j.isci.2020.101644 · Cited by 45 · see citing works
Liu, G. E., Matukumalli, L. K., Sonstegard, T. S., Shade, L. L., & Tassell, C. P. V. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-140 · Cited by 41 · see citing works
ILDR1 is important for paracellular water transport and urine concentration mechanism
Gong, Y., Himmerkus, N., Sunq, A., Milatz, S., Merkel, C., Bleich, M., & Hou, J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701006114 · Cited by 37 · see citing works
Periodic fever, aphthous stomatitis, pharyngitis, and adenitis (PFAPA) syndrome
Ali, N. S., Sartori‐Valinotti, J. C., & Bruce, A. J. (2016) · Clinics in Dermatology · doi:10.1016/j.clindermatol.2016.02.021 · Cited by 36 · see citing works
Progressive ataxia of Charolais cattle highlights a role of KIF1C in sustainable myelination
Duchesne, A., Vaiman, A., Frah, M., Floriot, S., Rodriguez, S. C., Desmazières, A., Fritz, S., Beauvallet, C., Albaric, O., Venot, É., et al. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007550 · Cited by 35 · see citing works
TAMM41 is required for heart valve differentiation via regulation of PINK-PARK2 dependent mitophagy
Yang, R., Tao, J., Zhan, M., Yuan, H., Wang, H. H., Chen, S., Zhu, C. H., de Thé, H., Zhou, J., Guo, Y., et al. (2019) · Cell Death and Differentiation · doi:10.1038/s41418-019-0311-z · Cited by 34 · see citing works
Genomic diversity and population structure of the indigenous Greek and Cypriot cattle populations
Papachristou, D., Koutsouli, P., Laliotis, G. P., Kunz, E., Upadhyay, M. R., Seichter, D., Ruß, I., Bunevski, G., Kostaras, N., Bizelis, I., et al. (2020) · Genetics Selection Evolution · doi:10.1186/s12711-020-00560-8 · Cited by 32 · see citing works
Vasilopoulos, Y., Walters, K., Cork, M. J., Duff, G. W., Sagoo, G. S., & Tazi‐Ahnini, R. (2008) · European Journal of Human Genetics · doi:10.1038/ejhg.2008.40 · Cited by 29 · see citing works
Suppression of GNAI2 message in ovarian cancer
Raymond, J. R., Appleton, K. M., Pierce, J. Y., & Peterson, Y. K. (2014) · Journal of Ovarian Research · doi:10.1186/1757-2215-7-6 · Cited by 25 · see citing works
Profilin1 Regulates Sternum Development and Endochondral Bone Formation
Miyajima, D., Hayata, T., Suzuki, T., Hemmi, H., Nakamoto, T., Notomi, T., Amagasa, T., Böttcher, R. T., Costell, M., Fässler, R., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.329938 · Cited by 21 · see citing works
Li, X., Shen, J., & Ran, Z. (2016) · Clinical Immunology · doi:10.1016/j.clim.2016.10.006 · Cited by 21 · see citing works
Kouprey (Bos sauveli) genomes unveil polytomic origin of wild Asian Bos
Sinding, M. S., Ciucani, M. M., Ramos‐Madrigal, J., Carmagnini, A., Rasmussen, J. A., Feng, S., Chen, G., Vieira, F. G., Mattiangeli, V., Ganjoo, R. K., et al. (2021) · iScience · doi:10.1016/j.isci.2021.103226 · Cited by 21 · see citing works
Self-citationProfilin-1; a novel regulator of DNA damage response and repair machinery in keratinocytes
Lee, C., Yoon, M.-J., Kim, D. H., Kim, T. U., & Kang, Y. (2021) · Molecular Biology Reports · doi:10.1007/s11033-021-06210-6 · Cited by 17 · see citing works
Whole-genome sequencing reveals selection signals among Chinese, Pakistani, and Nepalese goats
Li, Y., Gong, Y., Zhang, Z., Li, L., Liu, X., He, X., Zhao, Q., Pu, Y., Ma, Y., & Jiang, L. (2023) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2023.01.010 · Cited by 6 · see citing works
Self-citationContagious Bovine Pleuropneumonia
Lindley, E. P. (1981) · Springer eBooks · doi:10.1007/978-94-011-9034-3_21 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [50]Van Alfen, N. K. Encyclopedia of Agriculture and Food Systems (Elsevier, 2014).
Cited by
Sorted by citations
Recent Selection and Introgression Facilitated High-Altitude Adaptation in Cattle
Lyu, Y., Wang, F., Cheng, H., Han, J., Dang, R., Xia, X., Wang, H., Zhong, J., Lenstra, J. A., Zhang, H., et al. (2024) · Science Bulletin · doi:10.1016/j.scib.2024.05.030 · Cited by 50 · see citing works
Self-citationXu, S., Akhatayeva, Z., Liu, J., Feng, X., Yu, Y., Badaoui, B., Esmailizadeh, A., Kantanen, J., Amills, M., Lenstra, J. A., et al. (2024) · Science China Life Sciences · doi:10.1007/s11427-024-2744-4 · Cited by 29 · see citing works
Self-citationWhole-genome sequencing identifies functional genes for environmental adaptation in Chinese sheep
Niu, Y., Li, Y., Zhao, Y., He, X., Zhao, Q., Pu, Y., Ma, Y., & Jiang, L. (2024) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2024.08.011 · Cited by 29 · see citing works
Self-citationWhole-genome sequencing reveals genomic diversity and selection signatures in Xia’nan cattle
Song, X., Yao, Z. H., Zhang, Z., Lyu, S., Chen, N., Qi, X., Liu, X., Ma, W., Wang, W., Lei, C., et al. (2024) · BMC Genomics · doi:10.1186/s12864-024-10463-3 · Cited by 19 · see citing works
Self-citationStructural 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
Self-citationZhong, Z., Wang, Z., Xie, X., Pan, D., Su, Z., Fan, J., Xiao, Q., & Sun, R.-P. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252211919 · Cited by 13 · see citing works
Zhao, J., Mu, Y., Gong, P., Liu, B., Zhang, F., Zhu, L., Shi, C., Lv, X., & Luo, J. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1409282 · Cited by 12 · see citing works
Self-citationOgunbawo, A. R., Mulim, H. A., Campos, G. S., Schinckel, A. P., & de Oliveira, H. R. (2024) · Genes · doi:10.3390/genes15121495 · Cited by 12 · see citing works
Selection Increases Mitonuclear DNA Discordance but Reconciles Incompatibility in African Cattle
Shi, X., Ma, C., Chen, N., Xu, M., Kambal, S., Cai, Z., Yang, Q., Adeola, A. C., Liu, L.-S., Wang, J., et al. (2025) · Molecular Biology and Evolution · doi:10.1093/molbev/msaf039 · Cited by 12 · see citing works
Self-citationAwais, M., Ma, J., Chen, W., Zhang, B., Turakulov, K. S., Li, L., Egamberdieva, D., Karimjonovich, M. S., Kang, Z., & Zhao, J. (2025) · Phytopathology Research · doi:10.1186/s42483-024-00290-5 · Cited by 11 · see citing works
Guan, X., Xiang, W., Qu, K., Ahmed, Z., Liu, J., Cai, M., Zhang, J., Chen, N., Lei, C., & Huang, B. (2025) · BMC Genomics · doi:10.1186/s12864-024-11033-3 · Cited by 10 · see citing works
Self-citationKalaignazhal, G., Sejian, V., Silpa, M. V., Mishra, C., Rebez, E. B., Chauhan, S. S., DiGiacomo, K., Lacetera, N., & Dunshea, F. R. (2024) · Veterinary Sciences · doi:10.3390/vetsci11120616 · Cited by 10 · see citing works
Genomic characterization of dryland adaptation in endangered Anxi cattle in China
Lyu, Y., Yao, T., Chen, Z., Huangfu, R., Cheng, H., Ma, W., Qi, X., Li, F., Chen, N., & Lei, C. (2024) · Animal Genetics · doi:10.1111/age.13416 · Cited by 9 · see citing works
Self-citationExamination of homozygosity runs and selection signatures in native goat breeds of Henan, China
Peng, W., Zhang, Y., Gao, L., Wang, S., Liu, M., Sun, E., Lu, K., Zhang, Y., Li, B., Li, G.-Y., et al. (2024) · BMC Genomics · doi:10.1186/s12864-024-11098-0 · Cited by 9 · see citing works
Self-citationXu, L., Zhou, K., Huang, X., Chen, H., Dong, H., & Chen, Q. (2024) · BMC Genomics · doi:10.1186/s12864-024-10084-w · Cited by 8 · see citing works
Self-citationWang, X., Nursyifa, C., Aninta, S. G., Garcia‐Erill, G., Bertola, L. D., Khan, A., Kuja, J., Hanghøj, K., Meisner, J., Bøggild, T., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62692-z · Cited by 9 · see citing works
Self-citationLiu, Y., Fu, W., Wang, Z., Pei, S.-W., Li, K., Wu, W., Le, M. D., & Yue, X. (2024) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2024.11.008 · Cited by 7 · see citing works
Self-citationAn atlas of cell type specific regulatory effects in cattlePreprint
Li, H., Zhang, H., Zhao, P., Zhang, Q., Zhu, S., Shi, T., Wang, Y., Lu, J.-S., Liu, Y., O'Grady, J. F., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.23.661035 · Cited by 7 · see citing works
Self-citationEvidence of early genomic selection in Holstein Friesian across African and European ecosystems
Gao, J., González-Prendes, R., Liu, Y., Kantanen, J., Ginja, C., Ghanem, N., Kugonza, D. R., Makgahlela, M. L., Bovenhuis, H., Groenen, M. A. M., et al. (2025) · BMC Genomics · doi:10.1186/s12864-025-11828-y · Cited by 6 · see citing works
Self-citationA Whole-Genome Scan Revealed Genomic Features and Selection Footprints of Mengshan Cattle
Cheng, H., Lyu, Y., Liu, Z., Li, C., Qu, K., Li, S., Ahmed, Z., Ma, W., Qi, X., Chen, N., et al. (2024) · Genes · doi:10.3390/genes15091113 · Cited by 6 · see citing works
Self-citationAdmixture and selection offer insights for the conservation and breeding of Guyuan cattle
Liu, S., Yan, H., Feng, X., Luo, X., Lv, Y., Lei, C., Chen, N., & Ma, Y. (2025) · BMC Biology · doi:10.1186/s12915-025-02213-y · Cited by 6 · see citing works
Self-citationMulim, H. A., Campos, G. S., Cardoso, F. F., Pedrosa, V. B., Latimer, K., Upperman, L. R., Knowles, A. J., Garcia, A., Retallick, K., Miller, S., et al. (2026) · Mammalian Genome · doi:10.1007/s00335-025-10188-y · Cited by 5 · see citing works
Xu, N., Zhang, L., Chen, F., Feng, Z., Zheng, J., Li, D., Zhao, Y., & Kang, X. (2025) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-025-01154-4 · Cited by 5 · see citing works
Analysis of genomic selection characteristics of local cattle breeds in Gansu
Cai, B., Kang, Y., Xiong, L., Pei, J., Ge, Q., Wu, X., Gan, M., & Guo, X. (2025) · BMC Genomics · doi:10.1186/s12864-025-11753-0 · Cited by 5 · see citing works
New insights into genetic architecture of Guangxi indigenous chickens using whole-genome sequencing
Yang, Z., Xu, W., Liu, Y., Sun, T., Cong, X., Zou, L., Zeng, L., Deng, J., & Yang, X. (2025) · Poultry Science · doi:10.1016/j.psj.2025.105836 · Cited by 5 · see citing works
Self-citationWhole-Genome Resequencing Reveals Genetic Diversity and Growth Trait-Related Genes in Pinan Cattle
Bo, D., Feng, Y., Bai, Y., Li, J., Wang, Y., You, Z., Shen, J., & Bai, Y. (2024) · Animals · doi:10.3390/ani14152163 · Cited by 5 · see citing works
Self-citationKassymbekova, S., Bimenova, Z., Исхан, К., Sobiech, P., Jastrzebski, J., Brym, P., Babis, W., Kalykova, A., Otebayev, Z., Kabylbekova, D. I., et al. (2025) · Animals · doi:10.3390/ani15182667 · Cited by 5 · see citing works
Huangfu, R., Li, H., Luo, Y., He, F., Huan, C., Ahmed, Z., Zhang, B., Lei, C., & Yi, K. (2024) · Genes · doi:10.3390/genes15070909 · Cited by 4 · see citing works
Self-citationYin, H., Feng, Y., Wang, Y., Jiang, Q., Zhang, J., Zhao, J., Chen, Y., Wang, Y., Peng, R., Wang, Y., et al. (2024) · Animals · doi:10.3390/ani15010058 · Cited by 4 · see citing works
Self-citationWhole-Genome Sequencing Unveils the Uniqueness of Yushu Yaks (Bos grunniens)
Cai, B., Wu, X., Shi, Y., Kang, Y., Ding, Z., Guo, S., Cao, M., Hu, L., Zhang, B., Wang, X., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26083879 · Cited by 4 · see citing works
Genome‐wide analysis of genetic diversity and selection signatures in Fuzhou cattle
Wang, N., Li, Y., Li, X., Li, H., Bian, C., Chen, X., Jafari, H., Chen, N., & Lei, C. (2025) · Animal Genetics · doi:10.1111/age.70015 · Cited by 4 · see citing works
Self-citationClimate factors drive the local adaptation of Old World cattle
Sun, L., Jin, L., Sun, T., Bian, C., Wang, F., Li, S., Li, H., Liu, J., Zhang, J., Lenstra, J. A., et al. (2026) · iMeta · doi:10.1002/imt2.70108 · Cited by 3 · see citing works
Self-citationMcHugo, G. P., Ward, J. A., Ng’ang’a, S. I., Frantz, L., Salter‐Townshend, M., Hill, E. W., O’Gorman, G. M., Meade, K. G., Hall, T. J., & MacHugh, D. E. (2024) · Heredity · doi:10.1038/s41437-024-00734-w · Cited by 3 · see citing works
The CNV map construction and ROH analysis of Pinan cattle
Song, X., Zhang, Z., Xing, S., Liu, X., Zhang, Y., Wang, J., Lyu, S., Wang, X., Qi, X., Ma, W., et al. (2025) · BMC Genomics · doi:10.1186/s12864-025-11626-6 · Cited by 3 · see citing works
Self-citationBeyond black and white: dissecting the genetic basis of skin depigmentation in Nellore cattle
Campos, M. A. F., de Oliveira, H. R., de Camargo, G. M. F., Mulim, H. A., Cardoso, D. F., & Costa, R. B. (2025) · Mammalian Genome · doi:10.1007/s00335-025-10153-9 · Cited by 3 · see citing works
Local Ancestry and Adaptive Introgression in Xiangnan Cattle
Yan, H., Li, J., Zhang, K., Duan, H., Sun, A., Zhang, B., Li, F., Chen, N., Lei, C., & Yi, K. (2024) · Biology · doi:10.3390/biology13121000 · Cited by 3 · see citing works
Self-citationShi, L., Zhang, P., Yu, B., Liu, Q., Liu, C., Lu, W., Cheng, L., & Chen, H. (2025) · Animals · doi:10.3390/ani15091301 · Cited by 3 · see citing works
Self-citationZhan, S., Luo, J., Li, R., Li, G., Li, L., Li, D., Zhong, T., Wang, L., Guo, J., Cao, J., et al. (2025) · Frontiers in Veterinary Science · doi:10.3389/fvets.2025.1559764 · Cited by 2 · see citing works
Self-citationChen, Q., Chen, S., Tang, Y., Zhao, Q., Zhu, X., Li, Z., Feng, X., Mao, H., Qu, K., & Yu, Y. (2025) · BMC Genomics · doi:10.1186/s12864-025-11936-9 · Cited by 2 · see citing works
Self-citationDominguez, J. M. D., Yebron, M. G. N., Banayo, J. B., Chen, N., Salces, A. J., & Kim, K. (2026) · Animals · doi:10.3390/ani16040539 · Cited by 3 · see citing works
Self-citationDai, S., Xu, L., Yang, L., Zhao, P., Li, X., Huang, W., Zhang, W., Dai, X., Li, Z., Peng, L., et al. (2026) · iMetaOmics. · doi:10.1002/imo2.70095 · Cited by 2 · see citing works
Green, B. T., Welch, K. D., Lee, S. T., Davis, T. Z., Stonecipher, C. A., Stegelmeier, B. L., & Cook, D. (2024) · Toxicon · doi:10.1016/j.toxicon.2024.107706 · Cited by 2 · see citing works
Genetic Diversity and Selection Signatures of Lvliang Black Goat Using Genome-Wide SNP Data
Cai, K., Wang, W., Wang, X., Pang, Z., Zhou, Z., Cheng, L., Qiao, L., Liu, Q., Pan, Y., Yang, K., et al. (2024) · Animals · doi:10.3390/ani14213154 · Cited by 2 · see citing works
Self-citationMaternal Genetic Diversity Analysis of Guanling Cattle by Mitochondrial Genome Sequencing
Xu, L., Wang, X., Wang, H., Wu, J., Zhou, W., Ni, M., Zhang, K., Zhao, Y., & Lin, R. (2024) · Biochemical Genetics · doi:10.1007/s10528-024-10973-5 · Cited by 2 · see citing works
The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution
Liu, Y., Dao, W., Gao, R., Fan, X., Yang, R., & Miao, Y. (2026) · Animals · doi:10.3390/ani16050776 · Cited by 1 · see citing works
Self-citationWhole Genome Insights into Genetic Diversity, Introgression, and Adaptation of Hunan Cattle
Li, Y., Li, J., Duan, H., Sun, A., Hu, R., Gao, S., Zhang, B., Huang, B., Lei, C., & Yi, K. (2025) · Animals · doi:10.3390/ani15091287 · Cited by 1 · see citing works
Self-citationCui, Y., Hu, X.-G., Wang, H., Wang, C., Cao, W., & Zhang, F.-T. (2025) · Comparative Biochemistry and Physiology - Part D:Genomics and Proteomics · doi:10.1016/j.cbd.2025.101594 · Cited by 2 · see citing works
Self-citationZhang, Y., Li, F., Zhang, X., Zhang, D., & Wang, W. (2025) · Animals · doi:10.3390/ani15182724 · Cited by 1 · see citing works
Ge, F., Guo, Y., Xu, L., Low, W. Y., Ma, H., Li, Q., Wang, Z., Zhu, B., Xu, L., Gao, X., et al. (2025) · DNA Research · doi:10.1093/dnares/dsaf034 · Cited by 1 · see citing works
The genome landscape of Hong Kong feral cattle as a unique genetic resource
Luo, X.-Y., Lu, X.-R., Ren, Y., Cao, Y., Liu, X., Barbato, M., Ajmone-Marsan, P., Williams, J. L., Tearle, R., Brown, R. A., et al. (2026) · iScience · doi:10.1016/j.isci.2026.115465 · Cited by 1 · see citing works
Self-citationRuns of homozygosity reveal population dynamics and selection across global cattle
Ma, J., Liu, X., Gao, X., Wei, D., Zhang, Z., Muhammad, A., Chen, N., Xia, X., Ma, Y., Wang, E., et al. (2026) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-026-01403-0 · Cited by 1 · see citing works
Self-citationFalquez, O. F. C., Fuentes-Cabrera, C. J., Guerra, Í. F. E., Solís-Barros, T., & Espinoza, R. L. B. (2026) · Revista Científica Zambos. · doi:10.69484/rcz/v5/n2/196 · Cited by 1 · see citing works
Yensookjai, P., Prachumsarn, S., Sangtubsorn, N., Katanyuphan, Y., Boonleang, P., Krajaejun, P., Wattanapituksakul, A., & Surat, W. (2026) · Animals · doi:10.3390/ani16121904 · Cited by 1 · see citing works
Sub-millivolt voltage imaging reveals gap junction-mediated bioelectric contact inhibition
Rühl, P., Hussein, R. A., Reuter, S., Frahnert, K., Nair, A. G., Mrowka, R., Schönherr, R., & Heinemann, S. H. (2026) · Nature Communications · doi:10.1038/s41467-026-76758-z · Cited by 1 · see citing works
Candidate genes and genomic regions relevant for adaptation to extreme climates in livestock
Cheruiyot, E. K., Negussie, E., Tarekegn, G. M., & Haile‐Mariam, M. (2025) · CABI Reviews · doi:10.1079/cabireviews.2025.0052 · Cited by 1 · see citing works
Whole-genome analyses reveal selective signals in four Xinjiang cattle breeds
Wen, Y., Huang, J., Zhang, Y., Li, J., Xu, L., Chen, Q., Guo, Y., & Geng, J. (2024) · Gene Reports · doi:10.1016/j.genrep.2024.102000
Bioinformatics and Computational Biology: Tools for the Genomic Era
Saad, M. H. K., Hadi, M. M., Zaghir, A. H., Zidane, Z. M., & Sadk, M. A. (2025) · Bright Sky Publications eBooks · doi:10.62906/bs.book.366
Cattle Ancestry, Domestication and Carnivores
Campbell, M. O. (2025) · Springer eBooks · doi:10.1007/978-3-031-97363-5_3
Niu, P., Li, X., Wang, X., Qu, H., Chen, H., Huang, F., Hu, K., Fang, D., & Gao, Q. (2025) · Animals · doi:10.3390/ani15172516
Self-citationGenetic structure of Shandong taurine cattle in Han Dynasty
Bai, T.-Y., He, H.-F., Shen, Q., Xu, Y., Tao, L., Zhu, K.-Y., Wang, R., Zheng, J.-J., Liu, Y., Mao, X.-L., et al. (2025) · Journal of Archaeological Science: Reports · doi:10.1016/j.jasrep.2025.105401
Self-citationSong, X., Yao, Z., Zhang, Z., Lyv, S., Chen, N., Qi, X., Liu, X., Ma, W., Wang, W., Lei, C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26729869
Self-citationSong, X., Yao, Z., Zhang, Z., Lyv, S., Chen, N., Qi, X., Liu, X., Ma, W., Wang, W., Lei, C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26729878
Self-citationSong, X., Yao, Z., Zhang, Z., Lyv, S., Chen, N., Qi, X., Liu, X., Ma, W., Wang, W., Lei, C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26729875
Self-citationXu, L., Zhou, K., Huang, X., Chen, H., Dong, H., & Chen, Q. (2024) · Figshare · doi:10.6084/m9.figshare.25223451
Self-citationSong, X., Yao, Z., Zhang, Z., Lyv, S., Chen, N., Qi, X., Liu, X., Ma, W., Wang, W., Lei, C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26729872
Self-citationWhole-Genome Resequencing Analysis Reveals the Local Ancestry and Selection of Kongshan Cattle
Bai, M., Yang, K., Ma, X., Bian, C., Wang, W., Yi, J., Chen, N., Lei, C., & Xia, X. (2025) · Biology · doi:10.3390/biology14121778
Self-citationGenetic admixture and adaptive signatures of Guanling cattle revealed by whole-genome sequence
Su, Z.-Y., Xian, K., Bian, C.-Q., Li, F.-Q., Qi, X.-S., Lei, C.-Z., & Xia, X. (2026) · BMC Genomics · doi:10.1186/s12864-025-12480-2 · Cited by 2 · see citing works
Self-citationHu, X., Zhang, J., Fan, S., Xu, X., & Li, Y. (2026) · Research Square · doi:10.21203/rs.3.rs-8699492/v1
Self-citationTerefe, E., Belay, G., Tijjani, A., Han, J., Salim, B., & Hanotte, O. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.09.704906
Self-citationGonzález, A., Ataman, M., Mironov, A., Schlusser, N., Pandey, M., Schmidt, A., Coto‐Llerena, M., Piscuoglio, S., Mittal, N., & Zavolan, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.11.705272
Tian, Y., Zhang, Z., Hanif, Q., Li, F., Zhang, J., Arslan, A. M., Lei, C., Huang, B., & Chen, N. (2026) · Animal Biotechnology · doi:10.1080/10495398.2026.2633924
Self-citationGenetic Diversification and Population Admixture Signatures in Yunnan Native Cattle
Liu, Y., Dao, W., Xu, W., Fan, X., Yang, R., & Miao, Y. (2026) · Animals · doi:10.3390/ani16071105
Self-citationAmat, G., Hu, B., Tuo, Y., Kader, A., Sulayman, A., Zhan, Z., Zhu, J., Zhang, Z., bate, B., Ren, Z., et al. (2026) · Animals · doi:10.3390/ani16111746
Gao, C., Ma, W., Wang, X., Guo, P., Wang, Y., Huang, J., Lin, N., Zhang, K., & Shang, F. (2026) · Acta Botanica Yunnanica · doi:10.1016/j.pld.2026.06.001
Self-citationKoloi, S., Mehla, K., Ganguly, I., Singh, S., & Dixit, S. (2026) · The Nucleus · doi:10.1007/s13237-026-00692-0
Genome-wide variation landscape reveals temperature adaptation in Chinese indigenous cattle
Zhao, C., Teng, J., Chen, Y., Yang, C., Zhang, X., Ning, C., Wang, H., Yang, Q., Lv, W., Wang, D., et al. (2026) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-026-01451-6
Mavunga, T. K., Sölkner, J., Mészáros, G., Malima, M., Pichler, R., Ramasamy, S., Lokugalappatti, L. G. S., Thandar, E., Phem, M., Muchadeyi, F. C., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0353468
Genetic diversity and population structure of Mexican Gir cattle using genome-wide SNP data
Martínez-Rocha, R. E., Valerio-Hernández, J. E., Núñez-Domínguez, R., Ramírez‐Valverde, R., Domínguez-Viveros, J., Saiz, J. F., Mugambe, J., & Hidalgo, J. (2026) · Translational Animal Science · doi:10.1093/tas/txag094
Genomic solutions to metadata challenges: a case study on the 1000 Bull Genomes Project
Schlüter, J.-S., Heinrich, F., Gültaş, M., & Schmitt, A. O. (2026) · Genetics Selection Evolution · doi:10.1186/s12711-026-01061-w
Wei, Y., Tan, S., Chen, N., Luo, X., Zhang, L., Luo, W., khan, N., Jafari, H., Jin, J., Li, Y., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10520900/v1
Self-citationA portable recalibration workflow for reference-based variant calling in non-human genomes
Lee, H., Kim, S., Sunartha, M. A., Lee, C.-Y., & Lee, Y.-S. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014603
Bridging precision agriculture and human medicine through comparative genetics
Liu, X., Li, B., & Fang, L. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-026-01000-x
Terefe, E., Belay, G., Tijjani, A., da Silva, M. B. D. B., Han, J.-L., Salim, B., & Hanotte, O. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343484
Self-citationGenetic and genomic insights into morphological defects in nellore cattle: a comprehensive review
Campos, M. A. F., de Oliveira, H. R., de Oliveira, L. S. M., Mulim, H. A., Oliveira, E. D. S., de Camargo, G. M. F., & Costa, R. B. (2026) · Tropical Animal Health and Production · doi:10.1007/s11250-026-05433-8
- Authors
- Chen, N., Xia, X., Hanif, Q., Zhang, F., Dang, R., Huang, B., Lyu, Y., Luo, X., Zhang, H., Yan, H., Wang, S., Wang, F., Chen, J., Guan, X., Liu, Y., Li, S., Jin, L., Wang, P., Sun, L., Zhang, J., Liu, J., Qu, K., Cao, Y., Sun, J., Liao, Y., Xiao, Z., Cai, M., Mu, L., Siddiki, A. Z., Asif, M., Mansoor, S., Babar, M. E., Hussain, T., Silva, G. L. L. P., Gorkhali, N. A., Terefe, E., Belay, G., Tijjani, A., Zegeye, T., Gebre, M. G., Ma, Y., Wang, Y., Huang, Y., Lan, X., Chen, H., Migliore, N. R., Colombo, G., Semino, O., Achilli, A., Sinding, M.-H. S., Lenstra, J. A., Cheng, H., Lu, W., Hanotte, O., Han, J., Jiang, Y., & Lei, C.
- Affiliations
- Northwest A&F University (CN)
- National Institute for Biotechnology and Genetic Engineering (PK)
- Yunnan University (CN)
- Chuxiong Normal University (CN)
- Guangxi Vocational University of Agriculture (CN)
- Guangxi Veterinary Research Institute (CN)
- Southwest Forestry University (CN)
- Chattogram Veterinary and Animal Sciences University (BD)
- The University Of Agriculture Dera Ismail Khan (PK)
- Virtual University of Pakistan (PK)
- University of Peradeniya (LK)
- Nepal Agricultural Research Council (NP)
- Arsi University (ET)
- Addis Ababa University (ET)
- Jackson Laboratory (US)
- Haramaya University (ET)
- Ningxia University (CN)
- University of Pavia (IT)
- University of Copenhagen (DK)
- Utrecht University (NL)
- Shandong Academy of Agricultural Sciences (CN)
- Jilin Agricultural University (CN)
- University of Nottingham (GB)
- Chinese Academy of Agricultural Sciences (CN)
- Corresponding author
- Han, Jianlin
- Jiang, Yu
- ORCID
- Chen, Ningbo
- Xia, Xiaoting
- Hanif, Quratulain
- Zhang, Fengwei
- Dang, Ruihua
- Huang, Bizhi
- Lyu, Yang
- Luo, Xiaoyu
- Zhang, Hucai
- Yan, Huixuan
- Wang, Fuwen
- Chen, Jialei
- Guan, Xiwen
- Li, Shuang
- Jin, Liangliang
- Wang, Pengfei
- Sun, Luyang
- Zhang, Jicai
- Liu, Jianyong
- Qu, Kaixing
- Cao, Yanhong
- Sun, Junli
- Liao, Yuying
- Cai, Ming
- Mu, Lan
- Siddiki, Amam Zonaed
- Asif, Muhammad
- Mansoor, Shahid
- Babar, Masroor Ellahi
- Hussain, Tanveer
- Gorkhali, Neena Amatya
- Terefe, Endashaw
- Belay, Gurja
- Tijjani, Abdulfatai
- Zegeye, Tsadkan
- Wang, Yu
- Huang, Yongzhen
- Lan, Xianyong
- Chen, Hong
- Migliore, Nicola Rambaldi
- Colombo, Giulia
- Semino, Ornella
- Achilli, Alessandro
- Sinding, Mikkel-Holger S.
- Lenstra, Johannes A.
- Hanotte, Olivier
- Han, Jianlin
- Jiang, Yu
- Lei, Chuzhao
- Venue
- Nature Communications
- Published
- 2023-11-28
- Volume
- 14
- Issue
- 1
- Pages
- 7803-7803
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10684552
- OpenAlex
- W4389086892
- Cited by
- 83
- References
- 85
- Citations by year
- 2026: 27 · 2025: 30 · 2024: 26
- FWCI
- 13.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion, cc-by)
- Greater South Information System
- Funders
- Bill and Melinda Gates Foundation (OPP1127286)
- National Natural Science Foundation of China (2021YFD1200400, 202205AR070001, CARS-37, 31872317, 2022YFF1000100, 31861143014, 32072720, 32102523)
- China Postdoctoral Science Foundation
- Chinese Academy of Agricultural Sciences (CARS-37)
- Northwest A and F University (CARS-37)
- Addis Ababa University
- International Livestock Research Institute
- Consortium of International Agricultural Research Centers
- Scotland’s Rural College
- Foreign, Commonwealth and Development Office (OPP1127286)
- Earmarked Fund for Modern Agro-industry Technology Research System (CARS-37)
- Earmarked Fund for China Agriculture Research System (CARS-37)
- National Key Research and Development Program of China (2021YFD1200400, CARS-37, 31861143014, 2022YFF1000100, SQ2021YFF1000041)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- Bos indicus, genetic diversity, introgression, divergent selection, adaptive evolution, heat tolerance, immune-related genes, East Asian migration, phylogeography, banteng, gaur, candidate variants
- MeSH terms
- Whole Genome Sequencing, Alleles, Animals, Cattle, Biological Evolution, Genetic Variation, Ecosystem, Polymorphism, Single Nucleotide
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
