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Zeng L, Liu HQ, Tu XL, Ji CM, Gou X, Esmailizadeh A, Wang S, Wang MS, Wang MC, Li XL, Charati H, Adeola AC, Moshood Adedokun RA, Oladipo O, Olaogun SC, Sanke OJ, Godwin F M, Cecily Ommeh S, Agwanda B, Kasiiti Lichoti J, Han JL, Zheng HK, Wang CF, Zhang YP, Frantz LAF, Wu DD. Genomes reveal selective sweeps in kiang and donkey for high-altitude adaptation. Zool Res 2021; 42:450-460. [PMID: 34156172 PMCID: PMC8317180 DOI: 10.24272/j.issn.2095-8137.2021.095] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Over the last several hundred years, donkeys have adapted to high-altitude conditions on the Tibetan Plateau. Interestingly, the kiang, a closely related equid species, also inhabits this region. Previous reports have demonstrated the importance of specific genes and adaptive introgression in divergent lineages for adaptation to hypoxic conditions on the Tibetan Plateau. Here, we assessed whether donkeys and kiangs adapted to the Tibetan Plateau via the same or different biological pathways and whether adaptive introgression has occurred. We assembled a de novo genome from a kiang individual and analyzed the genomes of five kiangs and 93 donkeys (including 24 from the Tibetan Plateau). Our analyses suggested the existence of a strong hard selective sweep at the EPAS1 locus in kiangs. In Tibetan donkeys, however, another gene, i.e., EGLN1, was likely involved in their adaptation to high altitude. In addition, admixture analysis found no evidence for interspecific gene flow between kiangs and Tibetan donkeys. Our findings indicate that despite the short evolutionary time scale since the arrival of donkeys on the Tibetan Plateau, as well as the existence of a closely related species already adapted to hypoxia, Tibetan donkeys did not acquire adaptation via admixture but instead evolved adaptations via a different biological pathway.
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Affiliation(s)
- Lin Zeng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - He-Qun Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| | - Xiao-Long Tu
- Annoroad Gene Tech. (Beijing) Co., Ltd., Beijing 100176, China
| | - Chang-Mian Ji
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China.,Biomarker Technologies Corporation, Beijing 101300, China
| | - Xiao Gou
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan 650201, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, PB 76169-133, Iran
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Ming-Shan Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | | | - Xiao-Long Li
- Biomarker Technologies Corporation, Beijing 101300, China
| | - Hadi Charati
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Germplasm Bank of Wild Species, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | | | - Olatunbosun Oladipo
- Federal College of Animal Health and Production Technology, Moor-Plantation, Ibadan, Nigeria
| | | | - Oscar J Sanke
- Taraba State Ministry of Agriculture and Natural Resources, Jalingo 660221, Nigeria
| | | | - Sheila Cecily Ommeh
- Institute For Biotechnology Research Jomo Kenyatta University of Agriculture and Technology, Nairobi 62000-00200, Kenya.,Department of Zoology, National Museums of Kenya, Nairobi 40658-00100, Kenya
| | - Bernard Agwanda
- Department of Zoology, National Museums of Kenya, Nairobi 40658-00100, Kenya
| | - Jacqueline Kasiiti Lichoti
- State Department of Livestock, Ministry of Agriculture, Livestock, Fisheries and Irrigation, Nairobi, Kenya
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Hong-Kun Zheng
- Biomarker Technologies Corporation, Beijing 101300, China
| | - Chang-Fa Wang
- Equus Laboratory, Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Ji'nan, Shandong 250131, China.,Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, Shandong 252059, China. E-mail:
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China. E-mail:
| | - Laurent A F Frantz
- School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK. E-mail:
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Institute of Three-River-Source National Park, Chinese Academy of Sciences, Qinghai 810008, China. E-mail:
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Li Y, Liu GF, Ma LM, Liu TK, Zhang CW, Xiao D, Zheng HK, Chen F, Hou XL. A chromosome-level reference genome of non-heading Chinese cabbage [Brassica campestris (syn. Brassica rapa) ssp. chinensis]. Hortic Res 2020; 7:212. [PMID: 33372175 PMCID: PMC7769993 DOI: 10.1038/s41438-020-00449-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 11/28/2020] [Accepted: 12/09/2020] [Indexed: 05/12/2023]
Abstract
Non-heading Chinese cabbage (NHCC) is an important leafy vegetable cultivated worldwide. Here, we report the first high-quality, chromosome-level genome of NHCC001 based on PacBio, Hi-C, and Illumina sequencing data. The assembled NHCC001 genome is 405.33 Mb in size with a contig N50 of 2.83 Mb and a scaffold N50 of 38.13 Mb. Approximately 53% of the assembled genome is composed of repetitive sequences, among which long terminal repeats (LTRs, 20.42% of the genome) are the most abundant. Using Hi-C data, 97.9% (396.83 Mb) of the sequences were assigned to 10 pseudochromosomes. Genome assessment showed that this B. rapa NHCC001 genome assembly is of better quality than other currently available B. rapa assemblies and that it contains 48,158 protein-coding genes, 99.56% of which are annotated in at least one functional database. Comparative genomic analysis confirmed that B. rapa NHCC001 underwent a whole-genome triplication (WGT) event shared with other Brassica species that occurred after the WGD events shared with Arabidopsis. Genes related to ascorbic acid metabolism showed little variation among the three B. rapa subspecies. The numbers of genes involved in glucosinolate biosynthesis and catabolism were higher in NHCC001 than in Chiifu and Z1, due primarily to tandem duplication. The newly assembled genome will provide an important resource for research on B. rapa, especially B. rapa ssp. chinensis.
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Affiliation(s)
- Ying Li
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Gao-Feng Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Li-Ming Ma
- Biomarker Technologies Corporation, Beijing, 101300, China
| | - Tong-Kun Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Chang-Wei Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Dong Xiao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Hong-Kun Zheng
- Biomarker Technologies Corporation, Beijing, 101300, China
| | - Fei Chen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Xi-Lin Hou
- State Key Laboratory of Crop Genetics & Germplasm Enhancement, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (East China), Ministry of Agriculture and Rural Affairs of the P. R. China, Engineering Research Center of Germplasm Enhancement and Utilization of Horticultural Crop, Ministry of Education of the P. R. China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
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Zhang YX, Chen X, Wang JP, Zhang ZQ, Wei H, Yu HY, Zheng HK, Chen Y, Zhang LS, Lin JZ, Sun L, Liu DY, Tang J, Lei Y, Li XM, Liu M. Genomic insights into mite phylogeny, fitness, development, and reproduction. BMC Genomics 2019; 20:954. [PMID: 31818245 PMCID: PMC6902594 DOI: 10.1186/s12864-019-6281-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 11/13/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Predatory mites (Acari: Phytoseiidae) are the most important beneficial arthropods used in augmentative biological pest control of protected crops around the world. However, the genomes of mites are far less well understood than those of insects and the evolutionary relationships among mite and other chelicerate orders are contested, with the enigmatic origin of mites at one of the centres in discussion of the evolution of Arachnida. RESULTS We here report the 173 Mb nuclear genome (from 51.75 Gb pairs of Illumina reads) of the predatory mite, Neoseiulus cucumeris, a biocontrol agent against pests such as mites and thrips worldwide. We identified nearly 20.6 Mb (~ 11.93% of this genome) of repetitive sequences and annotated 18,735 protein-coding genes (a typical gene 2888 bp in size); the total length of protein-coding genes was about 50.55 Mb (29.2% of this assembly). About 37% (6981) of the genes are unique to N. cucumeris based on comparison with other arachnid genomes. Our phylogenomic analysis supported the monophyly of Acari, therefore rejecting the biphyletic origin of mites advocated by other studies based on limited gene fragments or few taxa in recent years. Our transcriptomic analyses of different life stages of N. cucumeris provide new insights into genes involved in its development. Putative genes involved in vitellogenesis, regulation of oviposition, sex determination, development of legs, signal perception, detoxification and stress-resistance, and innate immune systems are identified. CONCLUSIONS Our genomics and developmental transcriptomics analyses of N. cucumeris provide invaluable resources for further research on the development, reproduction, and fitness of this economically important mite in particular and Arachnida in general.
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Affiliation(s)
- Yan-Xuan Zhang
- Research Center of Engineering and Technology of Natural Enemy Resource of Crop Pest in Fujian, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350003 People’s Republic of China
| | - Xia Chen
- Research Center of Engineering and Technology of Natural Enemy Resource of Crop Pest in Fujian, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350003 People’s Republic of China
| | - Jie-Ping Wang
- Agricultural Bio-Resources Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350013 People’s Republic of China
| | - Zhi-Qiang Zhang
- Landcare Research, Auckland and School of Biological Sciences, The University of Auckland, Auckland, New Zealand
| | - Hui Wei
- Research Center of Engineering and Technology of Natural Enemy Resource of Crop Pest in Fujian, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350003 People’s Republic of China
| | - Hai-Yan Yu
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
| | - Hong-Kun Zheng
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
| | - Yong Chen
- Research Center of Engineering and Technology of Natural Enemy Resource of Crop Pest in Fujian, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350003 People’s Republic of China
| | - Li-Sheng Zhang
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 People’s Republic of China
| | - Jian-Zhen Lin
- Fujian Yanxuan Bio-preventing and Technology Biocontrol Corporation, Fuzhou, People’s Republic of China
| | - Li Sun
- Research Center of Engineering and Technology of Natural Enemy Resource of Crop Pest in Fujian, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350003 People’s Republic of China
| | - Dong-Yuan Liu
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
| | - Juan Tang
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
| | - Yan Lei
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
| | - Xu-Ming Li
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
| | - Min Liu
- Biomarker Technologies Corporation, Beijing, 101300 People’s Republic of China
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4
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Zeng L, Tu XL, Dai H, Han FM, Lu BS, Wang MS, Nanaei HA, Tajabadipour A, Mansouri M, Li XL, Ji LL, Irwin DM, Zhou H, Liu M, Zheng HK, Esmailizadeh A, Wu DD. Whole genomes and transcriptomes reveal adaptation and domestication of pistachio. Genome Biol 2019; 20:79. [PMID: 30999938 PMCID: PMC6474056 DOI: 10.1186/s13059-019-1686-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 04/01/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Pistachio (Pistacia vera), one of the most important commercial nut crops worldwide, is highly adaptable to abiotic stresses and is tolerant to drought and salt stresses. RESULTS Here, we provide a draft de novo genome of pistachio as well as large-scale genome resequencing. Comparative genomic analyses reveal stress adaptation of pistachio is likely attributable to the expanded cytochrome P450 and chitinase gene families. Particularly, a comparative transcriptomic analysis shows that the jasmonic acid (JA) biosynthetic pathway plays an important role in salt tolerance in pistachio. Moreover, we resequence 93 cultivars and 14 wild P. vera genomes and 35 closely related wild Pistacia genomes, to provide insights into population structure, genetic diversity, and domestication. We find that frequent genetic admixture occurred among the different wild Pistacia species. Comparative population genomic analyses reveal that pistachio was domesticated about 8000 years ago and suggest that key genes for domestication related to tree and seed size experienced artificial selection. CONCLUSIONS Our study provides insight into genetic underpinning of local adaptation and domestication of pistachio. The Pistacia genome sequences should facilitate future studies to understand the genetic basis of agronomically and environmentally related traits of desert crops.
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Affiliation(s)
- Lin Zeng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China
| | - Xiao-Long Tu
- Allwegene Technologies Inc., Beijing, 102209, China
| | - He Dai
- Biomarker Technologies Corporation, Beijing, China
| | | | - Bing-She Lu
- College of Landscape Architecture and Tourism, Agricultural University of Hebei, Baoding, 071000, China
| | - Ming-Shan Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Hojjat Asadollahpour Nanaei
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran
| | - Ali Tajabadipour
- Pistachio Research Center, Horticultural Sciences Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Rafsanjan, Iran
| | - Mehdi Mansouri
- Department of Agricultural Biotechnology, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Xiao-Long Li
- Biomarker Technologies Corporation, Beijing, China
| | - Li-Li Ji
- Allwegene Technologies Inc., Beijing, 102209, China
| | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Hong Zhou
- Chinese Academy of Forestry Sciences, Beijing, China
| | - Min Liu
- Biomarker Technologies Corporation, Beijing, China
| | | | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran.
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
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Yu XJ, Zheng HK, Wang J, Wang W, Su B. Detecting lineage-specific adaptive evolution of brain-expressed genes in human using rhesus macaque as outgroup. Genomics 2006; 88:745-751. [PMID: 16857340 DOI: 10.1016/j.ygeno.2006.05.008] [Citation(s) in RCA: 98] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2006] [Revised: 05/16/2006] [Accepted: 05/23/2006] [Indexed: 11/28/2022]
Abstract
Comparative genetic analysis between human and chimpanzee may detect genetic divergences responsible for human-specific characteristics. Previous studies have identified a series of genes that potentially underwent Darwinian positive selection during human evolution. However, without a closely related species as outgroup, it is difficult to identify human-lineage-specific changes, which is critical in delineating the biological uniqueness of humans. In this study, we conducted phylogeny-based analyses of 2633 human brain-expressed genes using rhesus macaque as the outgroup. We identified 47 candidate genes showing strong evidence of positive selection in the human lineage. Genes with maximal expression in the brain showed a higher evolutionary rate in human than in chimpanzee. We observed that many immune-defense-related genes were under strong positive selection, and this trend was more prominent in chimpanzee than in human. We also demonstrated that rhesus macaque performed much better than mouse as an outgroup in identifying lineage-specific selection in humans.
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Affiliation(s)
- Xiao-Jing Yu
- Key Laboratory of Cellular and Molecular Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Kunming Primate Research Center, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Graduate School, Chinese Academy of Sciences, Beijing, China
| | - Hong-Kun Zheng
- Beijing Genomics Institute, Chinese Academy of Sciences, Beijing, China; The Institute of Human Genetics, University of Aarhus, DK-8000 Aarhus C, Denmark
| | - Jun Wang
- Beijing Genomics Institute, Chinese Academy of Sciences, Beijing, China; The Institute of Human Genetics, University of Aarhus, DK-8000 Aarhus C, Denmark; Department of Biochemistry and Molecular Biology, University of Southern Denmark, DK-5230, Odense M, Denmark
| | - Wen Wang
- Key Laboratory of Cellular and Molecular Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Bing Su
- Key Laboratory of Cellular and Molecular Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Kunming Primate Research Center, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.
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Wang YQ, Qian YP, Yang S, Shi H, Liao CH, Zheng HK, Wang J, Lin AA, Cavalli-Sforza LL, Underhill PA, Chakraborty R, Jin L, Su B. Accelerated evolution of the pituitary adenylate cyclase-activating polypeptide precursor gene during human origin. Genetics 2005; 170:801-6. [PMID: 15834139 PMCID: PMC1450400 DOI: 10.1534/genetics.105.040527] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Pituitary adenylate cyclase-activating polypeptide (PACAP) is a neuropeptide abundantly expressed in the central nervous system and involved in regulating neurogenesis and neuronal signal transduction. The amino acid sequence of PACAP is extremely conserved across vertebrate species, indicating a strong functional constraint during the course of evolution. However, through comparative sequence analysis, we demonstrated that the PACAP precursor gene underwent an accelerated evolution in the human lineage since the divergence from chimpanzees, and the amino acid substitution rate in humans is at least seven times faster than that in other mammal species resulting from strong Darwinian positive selection. Eleven human-specific amino acid changes were identified in the PACAP precursors, which are conserved from murine to African apes. Protein structural analysis suggested that a putative novel neuropeptide might have originated during human evolution and functioned in the human brain. Our data suggested that the PACAP precursor gene underwent adaptive changes during human origin and may have contributed to the formation of human cognition.
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Affiliation(s)
- Yin-Qiu Wang
- Key Laboratory of Cellular and Molecular Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Yunnan
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Abstract
To find unknown protein-coding genes, annotation pipelines use a combination of ab initio gene prediction and similarity to experimentally confirmed genes or proteins. Here, we show that although the ab initio predictions have an intrinsically high false-positive rate, they also have a consistently low false-negative rate. The incorporation of similarity information is meant to reduce the false-positive rate, but in doing so it increases the false-negative rate. The crucial variable is gene size (including introns)--genes of the most extreme sizes, especially very large genes, are most likely to be incorrectly predicted.
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Affiliation(s)
- Jun Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 101300, China
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