比较基因组学在生物进化研究中的应用
Applications of Comparative Genomics in Evolutionary Biology
DOI: 10.12677/bp.2026.163013, PDF,    科研立项经费支持
作者: 徐玉林:峨眉山世界文化和自然遗产研究院,四川 乐山;李志强:峨眉山林业所,四川 乐山;陈俐洁, 蔡 颖*:乐山市林业科学研究院,四川 乐山;陈 兵:乐山市林业局,四川 乐山;王 璐*:乐山师范学院生命科学学院,西南山地濒危鸟类保护四川省高等学校重点实验室,四川 乐山
关键词: 基因组学比较基因组学基因组测序基因组组装系统发育适应性进化Genomics Comparative Genomics Genome Sequencing Genome Assembly Phylogeny Adaptive Evolution
摘要: 生物进化研究长期关注物种起源、系统发育关系、演化历史及适应性性状形成机制。基因组学的发展使研究者能够从全基因组水平解析物种分化和性状演化的分子基础。随着高通量测序、长读长测序、Hi-C和光学图谱等技术不断成熟,大量动植物基因组被测序、组装和注释,为比较基因组学和进化基因组学研究提供了重要数据支撑。通过基因组测序、组装、注释及同源基因家族分析,可揭示物种间基因组成、结构变异、基因家族扩张与收缩等差异;基于全基因组数据构建系统发育关系,有助于提高物种演化关系推断的可靠性;结合选择压力分析,还可筛选与环境适应和表型演化相关的候选基因。本文概述基因组测序技术的发展、基因组组装与注释方法,并总结其在系统发育重建、同源基因家族分析和适应性进化研究中的应用,以期为生物进化机制研究提供参考。
Abstract: Research on biological evolution has long focused on species origins, phylogenetic relationships, evolutionary history, and the mechanisms underlying the formation of adaptive traits. The development of genomics has enabled researchers to investigate the molecular basis of species divergence and trait evolution at the whole-genome level. With the continuous advancement of high-throughput sequencing, long-read sequencing, Hi-C, optical mapping, and other technologies, the genomes of numerous animals and plants have been sequenced, assembled, and annotated, providing important data support for comparative genomics and evolutionary genomics studies. Through genome sequencing, assembly, annotation, and homologous gene family analysis, differences among species in gene composition, structural variation, gene family expansion, and gene family contraction can be revealed. Phylogenetic reconstruction based on whole-genome data helps improve the reliability of inferences regarding evolutionary relationships among species. In combination with selection pressure analysis, candidate genes associated with environmental adaptation and phenotypic evolution can also be identified. This paper reviews the development of genome sequencing technologies, genome assembly and annotation methods, and summarizes their applications in phylogenetic reconstruction, homologous gene family analysis, and adaptive evolution research, with the aim of providing a reference for studies on the mechanisms of biological evolution.
文章引用:徐玉林, 李志强, 陈俐洁, 陈兵, 蔡颖, 王璐. 比较基因组学在生物进化研究中的应用[J]. 生物过程, 2026, 16(3): 110-119. https://doi.org/10.12677/bp.2026.163013

参考文献

[1] 李伟, 印莉萍. 基因组学相关概念及其研究进展[J]. 生物学通报, 2000, 35(11): 1-3.
[2] Chen, R. (2021) Early Bioinformatics Research in China. Quantitative Biology, 9, 242-250.
https://doi.org/10.15302/j-qb-021-0255
[3] Watson, J.D. (1990) The Human Genome Project: Past, Present, and Future. Science, 248, 44-49.
https://doi.org/10.1126/science.2181665
[4] 赵晋平, 徐平丽, 孟静静, 等. 从结构基因组学到功能基因组学[J]. 生命科学研究, 2006, 10(2): 57-61.
[5] 吴学军, 柴建华. 比较基因组学和人类基因组研究[J]. 生物工程进展, 2000, 20(1): 57-59.
[6] Schon, K.R., Horvath, R., Wei, W., Calabrese, C., Tucci, A., Ibañez, K., et al. (2021) Use of Whole Genome Sequencing to Determine Genetic Basis of Suspected Mitochondrial Disorders: Cohort Study. BMJ, 375, e066288.
https://doi.org/10.1136/bmj-2021-066288
[7] Carneiro, M., Rubin, C., Di Palma, F., Albert, F.W., Alföldi, J., Barrio, A.M., et al. (2014) Rabbit Genome Analysis Reveals a Polygenic Basis for Phenotypic Change during Domestication. Science, 345, 1074-1079.
https://doi.org/10.1126/science.1253714
[8] Zheng, Z., Wang, X., Li, M., Li, Y., Yang, Z., Wang, X., et al. (2020) The Origin of Domestication Genes in Goats. Science Advances, 6, eaaz5216.
https://doi.org/10.1126/sciadv.aaz5216
[9] Formenti, G., Theissinger, K., Fernandes, C., Bista, I., Bombarely, A., Bleidorn, C., et al. (2022) The Era of Reference Genomes in Conservation Genomics. Trends in Ecology & Evolution, 37, 197-202.
https://doi.org/10.1016/j.tree.2021.11.008
[10] Sands, T.R. (2019) Evolutionary Genomics: The Fruits of Genomic Approaches Applied to Evolutionary Biology. Genome Biology, 20, Article No. 10.
https://doi.org/10.1186/s13059-018-1615-x
[11] Das, S. and Hirano, M. (2012) Comparative Genomics and Genome Evolution. Current Genomics, 13, 85.
[12] Maxam, A.M. and Gilbert, W. (1977) A New Method for Sequencing DNA. Proceedings of the National Academy of Sciences, 74, 560-564.
https://doi.org/10.1073/pnas.74.2.560
[13] Sanger, F., Nicklen, S. and Coulson, A.R. (1977) DNA Sequencing with Chain-Terminating Inhibitors. Proceedings of the National Academy of Sciences, 74, 5463-5467.
https://doi.org/10.1073/pnas.74.12.5463
[14] Venter, J.C., Adams, M.D., Myers, E.W., Li, P.W., Mural, R.J., Sutton, G.G., et al. (2001) The Sequence of the Human Genome. Science, 291, 1304-1351.
https://doi.org/10.1126/science.1058040
[15] Sanger, F., Air, G.M., Barrell, B.G., Brown, N.L., Coulson, A.R., Fiddes, J.C., et al. (1977) Nucleotide Sequence of Bacteriophage φX174 DNA. Nature, 265, 687-695.
https://doi.org/10.1038/265687a0
[16] 田李, 张颖, 赵云峰. 新一代测序技术的发展和应用[J]. 生物技术报, 2015, 31(11): 1-8.
[17] Eisenstein, M. (2012) The Battle for Sequencing Supremacy. Nature Biotechnology, 30, 1023-1026.
https://doi.org/10.1038/nbt.2412
[18] 杨晓玲, 施华, 唐恬. 新一代测序技术的发展及应用前景[J]. 生物技术通报, 2010(10): 76-81.
[19] Goodwin, S., McPherson, J.D. and McCombie, W.R. (2016) Coming of Age: Ten Years of Next-Generation Sequencing Technologies. Nature Reviews Genetics, 17, 333-351.
https://doi.org/10.1038/nrg.2016.49
[20] Wheeler, D.A., Srinivasan, M., Egholm, M., Shen, Y., Chen, L., McGuire, A., et al. (2008) The Complete Genome of an Individual by Massively Parallel DNA Sequencing. Nature, 452, 872-876.
https://doi.org/10.1038/nature06884
[21] Li, R., Fan, W., Tian, G., Zhu, H., He, L., Cai, J., et al. (2010) The Sequence and De Novo Assembly of the Giant Panda Genome. Nature, 463, 311-317.
https://doi.org/10.1038/nature08696
[22] Ibarra-Laclette, E., Lyons, E., Hernández-Guzmán, G., Pérez-Torres, C.A., Carretero-Paulet, L., Chang, T., et al. (2013) Architecture and Evolution of a Minute Plant Genome. Nature, 498, 94-98.
https://doi.org/10.1038/nature12132
[23] Chen, J., Huang, Q., Gao, D., Wang, J., Lang, Y., Liu, T., et al. (2013) Whole-Genome Sequencing of Oryza Brachyantha Reveals Mechanisms Underlying Oryza Genome Evolution. Nature Communications, 4, Article No. 1595.
https://doi.org/10.1038/ncomms2596
[24] Kim, S., Park, M., Yeom, S., Kim, Y., Lee, J.M., Lee, H., et al. (2014) Genome Sequence of the Hot Pepper Provides Insights into the Evolution of Pungency in Capsicum Species. Nature Genetics, 46, 270-278.
https://doi.org/10.1038/ng.2877
[25] Wu, C., Zhang, D., Kan, M., Lv, Z., Zhu, A., Su, Y., et al. (2014) The Draft Genome of the Large Yellow Croaker Reveals Well-Developed Innate Immunity. Nature Communications, 5, Article No. 5227.
https://doi.org/10.1038/ncomms6227
[26] Qu, Y., Zhao, H., Han, N., Zhou, G., Song, G., Gao, B., et al. (2013) Nature Communications, 4, Article No. 2071.
https://doi.org/10.1038/ncomms3071
[27] Cho, Y.S., Hu, L., Hou, H., Lee, H., Xu, J., Kwon, S., et al. (2013) The Tiger Genome and Comparative Analysis with Lion and Snow Leopard Genomes. Nature Communications, 4, Article No. 2433.
https://doi.org/10.1038/ncomms3433
[28] Qiu, Q., Zhang, G., Ma, T., Qian, W., Wang, J., Ye, Z., et al. (2012) The Yak Genome and Adaptation to Life at High Altitude. Nature Genetics, 44, 946-949.
https://doi.org/10.1038/ng.2343
[29] Laing, R., Kikuchi, T., Martinelli, A., Tsai, I.J., Beech, R.N., Redman, E., et al. (2013) The Genome and Transcriptome of Haemonchus contortus, a Key Model Parasite for Drug and Vaccine Discovery. Genome Biology, 14, R88.
https://doi.org/10.1186/gb-2013-14-8-r88
[30] Ryan, J.F., Pang, K., Schnitzler, C.E., Nguyen, A., Moreland, R.T., Simmons, D.K., et al. (2013) The Genome of the Ctenophore Mnemiopsis leidyi and Its Implications for Cell Type Evolution. Science, 342, Article ID: 1242592.
https://doi.org/10.1126/science.1242592
[31] Wang, X., Fang, X., Yang, P., Jiang, X., Jiang, F., Zhao, D., et al. (2014) The Locust Genome Provides Insight into Swarm Formation and Long-Distance Flight. Nature Communications, 5, Article No. 2957.
https://doi.org/10.1038/ncomms3957
[32] Park, D., Jung, J.W., Choi, B., Jayakodi, M., Lee, J., Lim, J., et al. (2015) Uncovering the Novel Characteristics of Asian Honey Bee, Apis Cerana, by Whole Genome Sequencing. BMC Genomics, 16, Article No. 1.
https://doi.org/10.1186/1471-2164-16-1
[33] 张得芳, 马秋月, 尹佟明, 等. 第三代测序技术及其应用[J]. 中国生物工程杂志, 2013, 33(5): 125-131.
[34] Bowers, J., Mitchell, J., Beer, E., Buzby, P.R., Causey, M., Efcavitch, J.W., et al. (2009) Virtual Terminator Nucleotides for Next-Generation DNA Sequencing. Nature Methods, 6, 593-595.
https://doi.org/10.1038/nmeth.1354
[35] Roy, R., Hohng, S. and Ha, T. (2008) A Practical Guide to Single-Molecule FRET. Nature Methods, 5, 507-516.
https://doi.org/10.1038/nmeth.1208
[36] Niedringhaus, T.P., Milanova, D., Kerby, M.B., Snyder, M.P. and Barron, A.E. (2011) Landscape of Next-Generation Sequencing Technologies. Analytical Chemistry, 83, 4327-4341.
https://doi.org/10.1021/ac2010857
[37] Clarke, J., Wu, H., Jayasinghe, L., Patel, A., Reid, S. and Bayley, H. (2009) Continuous Base Identification for Single-Molecule Nanopore DNA Sequencing. Nature Nanotechnology, 4, 265-270.
https://doi.org/10.1038/nnano.2009.12
[38] Seo, J., Rhie, A., Kim, J., Lee, S., Sohn, M., Kim, C., et al. (2016) De Novo Assembly and Phasing of a Korean Human Genome. Nature, 538, 243-247.
https://doi.org/10.1038/nature20098
[39] Badouin, H., Gouzy, J., Grassa, C.J., Murat, F., Staton, S.E., Cottret, L., et al. (2017) The Sunflower Genome Provides Insights into Oil Metabolism, Flowering and Asterid Evolution. Nature, 546, 148-152.
https://doi.org/10.1038/nature22380
[40] Jiao, Y., Peluso, P., Shi, J., Liang, T., Stitzer, M.C., Wang, B., et al. (2017) Improved Maize Reference Genome with Single-Molecule Technologies. Nature, 546, 524-527.
https://doi.org/10.1038/nature22971
[41] Wang, K., Wang, J., Zhu, C., Yang, L., Ren, Y., Ruan, J., et al. (2021) African Lungfish Genome Sheds Light on the Vertebrate Water-to-Land Transition. Cell, 184, 1362-1376.e18.
https://doi.org/10.1016/j.cell.2021.01.047
[42] Bickhart, D.M., Rosen, B.D., Koren, S., Sayre, B.L., Hastie, A.R., Chan, S., et al. (2017) Single-Molecule Sequencing and Chromatin Conformation Capture Enable De Novo Reference Assembly of the Domestic Goat Genome. Nature Genetics, 49, 643-650.
https://doi.org/10.1038/ng.3802
[43] Larsen, P.A., Harris, R.A., Liu, Y., Murali, S.C., Campbell, C.R., Brown, A.D., et al. (2017) Hybrid De Novo Genome Assembly and Centromere Characterization of the Gray Mouse Lemur (Microcebus murinus). BMC Biology, 15, Article No. 110.
https://doi.org/10.1186/s12915-017-0439-6
[44] Barseghyan, H., Tang, W., Wang, R.T., Almalvez, M., Segura, E., Bramble, M.S., et al. (2017) Next-Generation Mapping: A Novel Approach for Detection of Pathogenic Structural Variants with a Potential Utility in Clinical Diagnosis. Genome Medicine, 9, Article No. 90.
https://doi.org/10.1186/s13073-017-0479-0
[45] Mostovoy, Y., Levy-Sakin, M., Lam, J., Lam, E.T., Hastie, A.R., Marks, P., et al. (2016) A Hybrid Approach for De Novo Human Genome Sequence Assembly and Phasing. Nature Methods, 13, 587-590.
https://doi.org/10.1038/nmeth.3865
[46] Dudchenko, O., Batra, S.S., Omer, A.D., Nyquist, S.K., Hoeger, M., Durand, N.C., et al. (2017) De Novo Assembly of the Aedes aegypti Genome Using Hi-C Yields Chromosome-Length Scaffolds. Science, 356, 92-95.
https://doi.org/10.1126/science.aal3327
[47] Roberts, M., Zimin, A.V., Hayes, W., Hunt, B.R., Ustun, C., White, J.R., et al. (2008) Improving Phrap-Based Assembly of the Rat Using “Reliable” Overlaps. PLOS ONE, 3, e1836.
https://doi.org/10.1371/journal.pone.0001836
[48] He, Y., Zhang, Z., Peng, X., Wu, F. and Wang, J. (2013) De Novo Assembly Methods for Next Generation Sequencing Data. Tsinghua Science and Technology, 18, 500-514.
https://doi.org/10.1109/tst.2013.6616523
[49] Ye, C., Hill, C.M., Wu, S., Ruan, J. and Ma, Z. (2016) DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies. Scientific Reports, 6, Article No. 31900.
https://doi.org/10.1038/srep31900
[50] Vollger, M.R., Logsdon, G.A., Audano, P.A., Sulovari, A., Porubsky, D., Peluso, P., et al. (2020) Improved Assembly and Variant Detection of a Haploid Human Genome Using Single‐Molecule, High‐Fidelity Long Reads. Annals of Human Genetics, 84, 125-140.
https://doi.org/10.1111/ahg.12364
[51] Zimin, A.V. and Salzberg, S.L. (2020) The Genome Polishing Tool POLCA Makes Fast and Accurate Corrections in Genome Assemblies. PLOS Computational Biology, 16, e1007981.
https://doi.org/10.1371/journal.pcbi.1007981
[52] Zhang, X., Zhang, S., Zhao, Q., Ming, R. and Tang, H. (2019) Assembly of Allele-Aware, Chromosomal-Scale Autopolyploid Genomes Based on Hi-C Data. Nature Plants, 5, 833-845.
https://doi.org/10.1038/s41477-019-0487-8
[53] Meader, S., Hillier, L.W., Locke, D., Ponting, C.P. and Lunter, G. (2010) Genome Assembly Quality: Assessment and Improvement Using the Neutral Indel Model. Genome Research, 20, 675-684.
https://doi.org/10.1101/gr.096966.109
[54] Simão, F.A., Waterhouse, R.M., Ioannidis, P., Kriventseva, E.V. and Zdobnov, E.M. (2015) BUSCO: Assessing Genome Assembly and Annotation Completeness with Single-Copy Orthologs. Bioinformatics, 31, 3210-3212.
https://doi.org/10.1093/bioinformatics/btv351
[55] Parra, G., Bradnam, K. and Korf, I. (2007) CEGMA: A Pipeline to Accurately Annotate Core Genes in Eukaryotic Genomes. Bioinformatics, 23, 1061-1067.
https://doi.org/10.1093/bioinformatics/btm071
[56] Stein, L. (2001) Genome Annotation: From Sequence to Biology. Nature Reviews Genetics, 2, 493-503.
https://doi.org/10.1038/35080529
[57] Lu, J.Y., Shao, W., Chang, L., Yin, Y., Li, T., Zhang, H., et al. (2020) Genomic Repeats Categorize Genes with Distinct Functions for Orchestrated Regulation. Cell Reports, 30, 3296-3311.e5.
https://doi.org/10.1016/j.celrep.2020.02.048
[58] Lander, E.S., Linton, L.M., Birren, B., Nusbaum, C., Zody, M.C., Baldwin, J., et al. (2001) Initial Sequencing and Analysis of the Human Genome. Nature, 409, 860-921.
https://doi.org/10.1038/35057062
[59] Price, A.L., Jones, N.C. and Pevzner, P.A. (2005) De Novo Identification of Repeat Families in Large Genomes. Bioinformatics, 21, i351-i358.
https://doi.org/10.1093/bioinformatics/bti1018
[60] Jurka, J., Kapitonov, V.V., Pavlicek, A., Klonowski, P., Kohany, O. and Walichiewicz, J. (2005) Repbase Update, a Database of Eukaryotic Repetitive Elements. Cytogenetic and Genome Research, 110, 462-467.
https://doi.org/10.1159/000084979
[61] Palazzo, A.F. and Lee, E.S. (2015) Non-Coding RNA: What Is Functional and What Is Junk? Frontiers in Genetics, 6, 1-11.
https://doi.org/10.3389/fgene.2015.00002
[62] Lowe, T.M. and Eddy, S.R. (1997) tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence. Nucleic Acids Research, 25, 955-964.
https://doi.org/10.1093/nar/25.5.955
[63] Nawrocki, E.P., Kolbe, D.L. and Eddy, S.R. (2009) Infernal 1.0: Inference of RNA Alignments. Bioinformatics, 25, 1713-1713.
https://doi.org/10.1093/bioinformatics/btp326
[64] Shukla, V., Varghese, V.K., Kabekkodu, S.P., Mallya, S. and Satyamoorthy, K. (2017) A Compilation of Web-Based Research Tools for miRNA Analysis. Briefings in Functional Genomics, 16, 249-273.
https://doi.org/10.1093/bfgp/elw042
[65] Keilwagen, J., Hartung, F., Paulini, M., Twardziok, S.O. and Grau, J. (2018) Combining RNA-seq Data and Homology-Based Gene Prediction for Plants, Animals and Fungi. BMC Bioinformatics, 19, Article No. 189.
https://doi.org/10.1186/s12859-018-2203-5
[66] Goodswen, S.J., Kennedy, P.J. and Ellis, J.T. (2012) Evaluating High-Throughput Ab Initio Gene Finders to Discover Proteins Encoded in Eukaryotic Pathogen Genomes Missed by Laboratory Techniques. PLOS ONE, 7, e50609.
https://doi.org/10.1371/journal.pone.0050609
[67] Humann, J.L., Lee, T., Ficklin, S. and Main, D. (2019) Structural and Functional Annotation of Eukaryotic Genomes with GenSAS. In: Kollmar, M., Ed., Gene Prediction: Methods and Protocols, Methods in Molecular Biology, Springer, 29-51.
https://doi.org/10.1007/978-1-4939-9173-0_3
[68] Kanehisa, M. (2000) KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Research, 28, 27-30.
https://doi.org/10.1093/nar/28.1.27
[69] Ashburner, M., Ball, C.A., Blake, J.A., Botstein, D., Butler, H., Cherry, J.M., et al. (2000) Gene Ontology: Tool for the Unification of Biology. Nature Genetics, 25, 25-29.
https://doi.org/10.1038/75556
[70] Mitchell, A.L., Attwood, T.K., Babbitt, P.C., Blum, M., Bork, P., Bridge, A., et al. (2019) Interpro in 2019: Improving Coverage, Classification and Access to Protein Sequence Annotations. Nucleic Acids Research, 47, D351-D360.
https://doi.org/10.1093/nar/gky1100
[71] Harris, R.M. and Hofmann, H.A. (2015) Seeing Is Believing: Dynamic Evolution of Gene Families. Proceedings of the National Academy of Sciences, 112, 1252-1253.
https://doi.org/10.1073/pnas.1423685112
[72] Hu, X. and Friedberg, I. (2019) SwiftOrtho: A Fast, Memory-Efficient, Multiple Genome Orthology Classifier. GigaScience, 8, giz118.
https://doi.org/10.1093/gigascience/giz118
[73] Prachumwat, A. and Li, W. (2008) Gene Number Expansion and Contraction in Vertebrate Genomes with Respect to Invertebrate Genomes. Genome Research, 18, 221-232.
https://doi.org/10.1101/gr.7046608
[74] Leister, D. (2004) Tandem and Segmental Gene Duplication and Recombination in the Evolution of Plant Disease Resistance Genes. Trends in Genetics, 20, 116-122.
https://doi.org/10.1016/j.tig.2004.01.007
[75] Yu, L. (2006) Phylogenomics—An Attractive Avenue to Reconstruct “Tree of Life”. Hereditas, 11, Article No. 1445.
https://doi.org/10.1360/yc-006-1445
[76] Thornton, J.W. and DeSalle, R. (2000) Gene Family Evolution and Homology: Genomics Meets Phylogenetics. Annual Review of Genomics and Human Genetics, 1, 41-73.
https://doi.org/10.1146/annurev.genom.1.1.41
[77] Delsuc, F., Brinkmann, H. and Philippe, H. (2005) Phylogenomics and the Reconstruction of the Tree of Life. Nature Reviews Genetics, 6, 361-375.
https://doi.org/10.1038/nrg1603
[78] Rokas, A. and Holland, P.W.H. (2000) Rare Genomic Changes as a Tool for Phylogenetics. Trends in Ecology & Evolution, 15, 454-459.
https://doi.org/10.1016/s0169-5347(00)01967-4
[79] Fan, Y. and Fu, X. (2017) The Complete Mitochondrial Genome of the Firefly, Pteroptyx maipo (Coleoptera: Lampyridae). Mitochondrial DNA Part B, 2, 795-796.
https://doi.org/10.1080/23802359.2017.1398598
[80] Yang, Z. (2007) PAML 4: Phylogenetic Analysis by Maximum Likelihood. Molecular Biology and Evolution, 24, 1586-1591.
https://doi.org/10.1093/molbev/msm088
[81] Yuan, M.L., Zhang, Q.L., Zhang, L., Jia, C., Li, X., Yang, X., et al. (2018) Molecular Phylogenetics and Evolution, 122, 116-124.
https://doi.org/10.1016/j.ympev.2018.01.016
[82] Pond, S.L.K., Frost, S.D.W. and Muse, S.V. (2005) HyPhy: Hypothesis Testing Using Phylogenies. Bioinformatics, 21, 676-679.
https://doi.org/10.1093/bioinformatics/bti079
[83] Zhu, K., Jorgensen, K.C., Weinstein, J., Kiyamu, M., Elías, G., Isherwood, J.L., et al. (2026) Genomic Evidence for Natural Selection Underlying High-Altitude Adaptive Hemoglobin Levels among Peruvian Andeans. Genome Biology and Evolution, 18, evag164.
https://doi.org/10.1093/gbe/evag164
[84] Fang, L., Wang, Q., Hu, Y., Jia, Y., Chen, J., Liu, B., et al. (2017) Genomic Analyses in Cotton Identify Signatures of Selection and Loci Associated with Fiber Quality and Yield Traits. Nature Genetics, 49, 1089-1098.
https://doi.org/10.1038/ng.3887
[85] Touchon, M., Hoede, C., Tenaillon, O., Barbe, V., Baeriswyl, S., Bidet, P., et al. (2009) Organised Genome Dynamics in the Escherichia coli Species Results in Highly Diverse Adaptive Paths. PLOS Genetics, 5, e1000344.
https://doi.org/10.1371/journal.pgen.1000344