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Tian R, Zhang Y, Kang H, Zhang F, Jin Z, Wang J, Zhang P, Zhou X, Lanyon JM, Sneath HL, Woolford L, Fan G, Li S, Seim I. Sirenian genomes illuminate the evolution of fully aquatic species within the mammalian superorder afrotheria. Nat Commun 2024; 15:5568. [PMID: 38956050 PMCID: PMC11219930 DOI: 10.1038/s41467-024-49769-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 06/12/2024] [Indexed: 07/04/2024] Open
Abstract
Sirenians of the superorder Afrotheria were the first mammals to transition from land to water and are the only herbivorous marine mammals. Here, we generated a chromosome-level dugong (Dugong dugon) genome. A comparison of our assembly with other afrotherian genomes reveals possible molecular adaptations to aquatic life by sirenians, including a shift in daily activity patterns (circadian clock) and tolerance to a high-iodine plant diet mediated through changes in the iodide transporter NIS (SLC5A5) and its co-transporters. Functional in vitro assays confirm that sirenian amino acid substitutions alter the properties of the circadian clock protein PER2 and NIS. Sirenians show evidence of convergent regression of integumentary system (skin and its appendages) genes with cetaceans. Our analysis also uncovers gene losses that may be maladaptive in a modern environment, including a candidate gene (KCNK18) for sirenian cold stress syndrome likely lost during their evolutionary shift in daily activity patterns. Genomes from nine Australian locations and the functionally extinct Okinawan population confirm and date a genetic break ~10.7 thousand years ago on the Australian east coast and provide evidence of an associated ecotype, and highlight the need for whole-genome resequencing data from dugong populations worldwide for conservation and genetic management.
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Affiliation(s)
- Ran Tian
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China
| | - Yaolei Zhang
- BGI Research, Qingdao, 266555, China
- BGI Research, Shenzhen, 518083, China
- Qingdao Key Laboratory of Marine Genomics BGI Research, Qingdao, 266555, China
| | - Hui Kang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China
- The Innovation Research Center for Aquatic Mammals, and Key Laboratory of Aquatic Biodiversity and Conservation of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Fan Zhang
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China
| | - Zhihong Jin
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China
| | - Jiahao Wang
- BGI Research, Qingdao, 266555, China
- BGI Research, Shenzhen, 518083, China
| | - Peijun Zhang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- School of Life Sciences, University of Science and Technology of China, Hefei, 230027, China
| | - Janet M Lanyon
- School of the Environment, The University of Queensland, Lucia, 4072, Australia
| | - Helen L Sneath
- School of the Environment, The University of Queensland, Lucia, 4072, Australia
| | - Lucy Woolford
- School of Veterinary Sciences, The University of Adelaide, Roseworthy, 5371, Australia
| | - Guangyi Fan
- BGI Research, Qingdao, 266555, China.
- BGI Research, Shenzhen, 518083, China.
- Qingdao Key Laboratory of Marine Genomics BGI Research, Qingdao, 266555, China.
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China.
| | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China.
- The Innovation Research Center for Aquatic Mammals, and Key Laboratory of Aquatic Biodiversity and Conservation of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
| | - Inge Seim
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China.
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China.
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2
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Dong J, Qiu L, Zhou X, Liu S. Drivers of genomic differentiation landscapes in populations of disparate ecological and geographical settings within mainland Apis cerana. Mol Ecol 2024; 33:e17414. [PMID: 38801184 DOI: 10.1111/mec.17414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/29/2024]
Abstract
Elucidating the evolutionary processes that drive population divergence can enhance our understanding of the early stages of speciation and inform conservation management decisions. The honeybee Apis cerana displays extensive population divergence, providing an informative natural system for exploring these processes. The mainland lineage A. cerana includes several peripheral subspecies with disparate ecological and geographical settings radiated from a central ancestor. Under this evolutionary framework, we can explore the patterns of genome differentiation and the evolutionary models that explain them. We can also elucidate the contribution of non-genomic spatiotemporal mechanisms (extrinsic features) and genomic mechanisms (intrinsic features) that influence these genomic differentiation landscapes. Based on 293 whole genomes, a small part of the genome is highly differentiated between central-peripheral subspecies pairs, while low and partial parallelism partly reflects idiosyncratic responses to environmental differences. Combined elements of recurrent selection and speciation-with-gene-flow models generate the heterogeneous genome landscapes. These elements weight differently between central-island and other central-peripheral subspecies pairs, influenced by glacial cycles superimposed on different geomorphologies. Although local recombination rates exert a significant influence on patterns of genomic differentiation, it is unlikely that low-recombination rates regions were generated by structural variation. In conclusion, complex factors including geographical isolation, divergent ecological selection and non-uniform genome features have acted concertedly in the evolution of reproductive barriers that could reduce gene flow in part of the genome and facilitate the persistence of distinct populations within mainland lineage of A. cerana.
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Affiliation(s)
- Jiangxing Dong
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
| | - Lifei Qiu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
| | - Xin Zhou
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
| | - Shanlin Liu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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Xu WQ, Ren CQ, Zhang XY, Comes HP, Liu XH, Li YG, Kettle CJ, Jalonen R, Gaisberger H, Ma YZ, Qiu YX. Genome sequences and population genomics reveal climatic adaptation and genomic divergence between two closely related sweetgum species. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:1372-1387. [PMID: 38343032 DOI: 10.1111/tpj.16675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 05/31/2024]
Abstract
Understanding the genetic basis of population divergence and adaptation is an important goal in population genetics and evolutionary biology. However, the relative roles of demographic history, gene flow, and/or selective regime in driving genomic divergence, climatic adaptation, and speciation in non-model tree species are not yet fully understood. To address this issue, we generated whole-genome resequencing data of Liquidambar formosana and L. acalycina, which are broadly sympatric but altitudinally segregated in the Tertiary relict forests of subtropical China. We integrated genomic and environmental data to investigate the demographic history, genomic divergence, and climatic adaptation of these two sister species. We inferred a scenario of allopatric species divergence during the late Miocene, followed by secondary contact during the Holocene. We identified multiple genomic islands of elevated divergence that mainly evolved through divergence hitchhiking and recombination rate variation, likely fostered by long-term refugial isolation and recent differential introgression in low-recombination genomic regions. We also found some candidate genes with divergent selection signatures potentially involved in climatic adaptation and reproductive isolation. Our results contribute to a better understanding of how late Tertiary/Quaternary climatic change influenced speciation, genomic divergence, climatic adaptation, and introgressive hybridization in East Asia's Tertiary relict flora. In addition, they should facilitate future evolutionary, conservation genomics, and molecular breeding studies in Liquidambar, a genus of important medicinal and ornamental values.
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Affiliation(s)
- Wu-Qin Xu
- Systematic & Evolutionary Botany and Biodiversity Group, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang Lab, Hangzhou, Zhejiang, China
| | - Chao-Qian Ren
- Systematic & Evolutionary Botany and Biodiversity Group, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Xin-Yi Zhang
- Systematic & Evolutionary Botany and Biodiversity Group, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Hans-Peter Comes
- Department of Environment & Biodiversity, Salzburg University, Salzburg, Austria
| | - Xin-Hong Liu
- Zhejiang Academy of Forestry, Hangzhou, 310023, China
| | - Yin-Gang Li
- Zhejiang Academy of Forestry, Hangzhou, 310023, China
| | | | - Riina Jalonen
- Bioversity International, Regional Office for Asia, Penang, Malaysia
| | | | - Ya-Zhen Ma
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Ying-Xiong Qiu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
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Arias KD, Fernández I, Gutiérrez JP, Álvarez I, Goyache F. Population dynamics of potentially harmful haplotypes: a pedigree analysis. BMC Genomics 2024; 25:487. [PMID: 38755557 PMCID: PMC11097446 DOI: 10.1186/s12864-024-10407-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND The identification of low-frequency haplotypes, never observed in homozygous state in a population, is considered informative on the presence of potentially harmful alleles (candidate alleles), putatively involved in inbreeding depression. Although identification of candidate alleles is challenging, studies analyzing the dynamics of potentially harmful alleles are lacking. A pedigree of the highly endangered Gochu Asturcelta pig breed, including 471 individuals belonging to 51 different families with at least 5 offspring each, was genotyped using the Axiom PigHDv1 Array (658,692 SNPs). Analyses were carried out on four different cohorts defined according to pedigree depth and at the whole population (WP) level. RESULTS The 4,470 Linkage Blocks (LB) identified in the Base Population (10 individuals), gathered a total of 16,981 alleles in the WP. Up to 5,466 (32%) haplotypes were statistically considered candidate alleles, 3,995 of them (73%) having one copy only. The number of alleles and candidate alleles varied across cohorts according to sample size. Up to 4,610 of the alleles identified in the WP (27% of the total) were present in one cohort only. Parentage analysis identified a total of 67,742 parent-offspring incompatibilities. The number of mismatches varied according to family size. Parent-offspring inconsistencies were identified in 98.2% of the candidate alleles and 100% of the LB in which they were located. Segregation analyses informed that most potential candidate alleles appeared de novo in the pedigree. Only 17 candidate alleles were identified in the boar, sow, and paternal and maternal grandparents and were considered segregants. CONCLUSIONS Our results suggest that neither mutation nor recombination are the major forces causing the apparition of candidate alleles. Their occurrence is more likely caused by Allele-Drop-In events due to SNP calling errors. New alleles appear when wrongly called SNPs are used to construct haplotypes. The presence of candidate alleles in either parents or grandparents of the carrier individuals does not ensure that they are true alleles. Minimum Allele Frequency thresholds may remove informative alleles. Only fully segregant candidate alleles should be considered potentially harmful alleles. A set of 16 candidate genes, potentially involved in inbreeding depression, is described.
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Affiliation(s)
- Katherine D Arias
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain
| | - Iván Fernández
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain
| | - Juan Pablo Gutiérrez
- Departamento de Producción Animal, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, 28040, Spain
| | - Isabel Álvarez
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain
| | - Félix Goyache
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain.
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5
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Lian Q, Huettel B, Walkemeier B, Mayjonade B, Lopez-Roques C, Gil L, Roux F, Schneeberger K, Mercier R. A pan-genome of 69 Arabidopsis thaliana accessions reveals a conserved genome structure throughout the global species range. Nat Genet 2024; 56:982-991. [PMID: 38605175 PMCID: PMC11096106 DOI: 10.1038/s41588-024-01715-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 03/11/2024] [Indexed: 04/13/2024]
Abstract
Although originally primarily a system for functional biology, Arabidopsis thaliana has, owing to its broad geographical distribution and adaptation to diverse environments, developed into a powerful model in population genomics. Here we present chromosome-level genome assemblies of 69 accessions from a global species range. We found that genomic colinearity is very conserved, even among geographically and genetically distant accessions. Along chromosome arms, megabase-scale rearrangements are rare and typically present only in a single accession. This indicates that the karyotype is quasi-fixed and that rearrangements in chromosome arms are counter-selected. Centromeric regions display higher structural dynamics, and divergences in core centromeres account for most of the genome size variations. Pan-genome analyses uncovered 32,986 distinct gene families, 60% being present in all accessions and 40% appearing to be dispensable, including 18% private to a single accession, indicating unexplored genic diversity. These 69 new Arabidopsis thaliana genome assemblies will empower future genetic research.
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Affiliation(s)
- Qichao Lian
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Bruno Huettel
- Max Planck-Genome-centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Birgit Walkemeier
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Baptiste Mayjonade
- Laboratoire des Interactions Plantes-Microbes-Environnement, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | | | - Lisa Gil
- INRAE, GeT-PlaGe, Genotoul, Castanet-Tolosan, France
| | - Fabrice Roux
- Laboratoire des Interactions Plantes-Microbes-Environnement, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Korbinian Schneeberger
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
- Faculty of Biology, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany.
- Cluster of Excellence on Plant Sciences, Heinrich-Heine University, Düsseldorf, Germany.
| | - Raphael Mercier
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
- Cluster of Excellence on Plant Sciences, Heinrich-Heine University, Düsseldorf, Germany.
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6
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Chen Z, Zhou M, Sun Y, Tang X, Zhang Z, Huang L. Exploration of Genome-Wide Recombination Rate Variation Patterns at Different Scales in Pigs. Animals (Basel) 2024; 14:1345. [PMID: 38731349 PMCID: PMC11083071 DOI: 10.3390/ani14091345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 04/27/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024] Open
Abstract
Meiotic recombination is a prevalent process in eukaryotic sexual reproduction organisms that plays key roles in genetic diversity, breed selection, and species evolution. However, the recombination events differ across breeds and even within breeds. In this study, we initially computed large-scale population recombination rates of both sexes using approximately 52 K SNP genotypes in a total of 3279 pigs from four different Chinese and Western breeds. We then constructed a high-resolution historical recombination map using approximately 16 million SNPs from a sample of unrelated individuals. Comparative analysis of porcine recombination events from different breeds and at different resolutions revealed the following observations: Firstly, the 1Mb-scale pig recombination maps of the same sex are moderately conserved among different breeds, with the similarity of recombination events between Western pigs and Chinese indigenous pigs being lower than within their respective groups. Secondly, we identified 3861 recombination hotspots in the genome and observed medium- to high-level correlation between historical recombination rates (0.542~0.683) and estimates of meiotic recombination rates. Third, we observed that recombination hotspots are significantly far from the transcription start sites of pig genes, and the silico-predicted PRDM9 zinc finger domain DNA recognition motif is significantly enriched in the regions of recombination hotspots compared to recombination coldspots, highlighting the potential role of PRDM9 in regulating recombination hotspots in pigs. Our study analyzed the variation patterns of the pig recombination map at broad and fine scales, providing a valuable reference for genomic selection breeding and laying a crucial foundation for further understanding the molecular mechanisms of pig genome recombination.
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Affiliation(s)
| | | | | | | | - Zhiyan Zhang
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Jiangxi Agricultural University, Nanchang 330045, China
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Hu QL, Zhuo JC, Fang GQ, Lu JB, Ye YX, Li DT, Lou YH, Zhang XY, Chen X, Wang SL, Wang ZC, Zhang YX, Mazlan N, OO SS, Thet T, Sharma PN, Jauharlina J, Sukorini IH, Ibisate MT, Rahman SM, Ansari NA, Chen AD, Zhu ZR, Heong KL, Lu G, Huang HJ, Li JM, Chen JP, Zhan S, Zhang CX. The genomic history and global migration of a windborne pest. SCIENCE ADVANCES 2024; 10:eadk3852. [PMID: 38657063 PMCID: PMC11042747 DOI: 10.1126/sciadv.adk3852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 03/20/2024] [Indexed: 04/26/2024]
Abstract
Many insect pests, including the brown planthopper (BPH), undergo windborne migration that is challenging to observe and track. It remains controversial about their migration patterns and largely unknown regarding the underlying genetic basis. By analyzing 360 whole genomes from around the globe, we clarify the genetic sources of worldwide BPHs and illuminate a landscape of BPH migration showing that East Asian populations perform closed-circuit journeys between Indochina and the Far East, while populations of Malay Archipelago and South Asia undergo one-way migration to Indochina. We further find round-trip migration accelerates population differentiation, with highly diverged regions enriching in a gene desert chromosome that is simultaneously the speciation hotspot between BPH and related species. This study not only shows the power of applying genomic approaches to demystify the migration in windborne migrants but also enhances our understanding of how seasonal movements affect speciation and evolution in insects.
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Affiliation(s)
- Qing-Ling Hu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Ji-Chong Zhuo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Gang-Qi Fang
- Key Laboratory of Plant Design, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jia-Bao Lu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Yu-Xuan Ye
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Dan-Ting Li
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Yi-Han Lou
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Xiao-Ya Zhang
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Xuan Chen
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Si-Liang Wang
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Zhe-Chao Wang
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Yi-Xiang Zhang
- Key Laboratory of Plant Design, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Norida Mazlan
- Institute of Tropical Agriculture and Food Security, and Faculty of Agriculture, University Putra Malaysia, 43400 Serdang, Malaysia
| | - San San OO
- Taungoo University, Taungoo 05063, Myanmar
| | - Thet Thet
- Taungoo University, Taungoo 05063, Myanmar
| | - Prem Nidhi Sharma
- Entomology Division, Nepal Agricultural Research Council, Khumaltar, Lalitpur, Kathmandu 44600, Nepal
| | - Jauharlina Jauharlina
- Department of Plant Protection, Faculty of Agriculture, Syiah Kuala University, Banda Aceh 23111, Indonesia
| | - Ir Henik Sukorini
- Agrotechnology Study Program, Muhammadiyah University of Malang, Malang 65145, Indonesia
| | - Michael T. Ibisate
- College of Agriculture, Forestry and Environmental Sciences, Aklan State University, Banga, Aklan 5601, Philippines
| | - S.M. Mizanur Rahman
- Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka 1207, Bangladesh
| | - Naved Ahmad Ansari
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
- Department of Zoology, Aligarh Muslim University, Aligarh, U.P. 202002, India
| | - Ai-Dong Chen
- Agriculture Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Zeng-Rong Zhu
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
- Hainan Institute, Zhejiang University, Sanya 572025, China
| | - Kong Luen Heong
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
| | - Gang Lu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Hai-Jian Huang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Jun-Min Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Jian-Ping Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Shuai Zhan
- Key Laboratory of Plant Design, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chuan-Xi Zhang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
- Institute of Insect Science, Zhejiang University, Hangzhou 310058, China
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8
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Dabi A, Schrider DR. Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.07.588318. [PMID: 38645049 PMCID: PMC11030438 DOI: 10.1101/2024.04.07.588318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Simulations are an essential tool in all areas of population genetic research, used in tasks such as the validation of theoretical analysis and the study of complex evolutionary models. Forward-in-time simulations are especially flexible, allowing for various types of natural selection, complex genetic architectures, and non-Wright-Fisher dynamics. However, their intense computational requirements can be prohibitive to simulating large populations and genomes. A popular method to alleviate this burden is to scale down the population size by some scaling factor while scaling up the mutation rate, selection coefficients, and recombination rate by the same factor. However, this rescaling approach may in some cases bias simulation results. To investigate the manner and degree to which rescaling impacts simulation outcomes, we carried out simulations with different demographic histories and distributions of fitness effects using several values of the rescaling factor, Q , and compared the deviation of key outcomes (fixation times, fixation probabilities, allele frequencies, and linkage disequilibrium) between the scaled and unscaled simulations. Our results indicate that scaling introduces substantial biases to each of these measured outcomes, even at small values of Q . Moreover, the nature of these effects depends on the evolutionary model and scaling factor being examined. While increasing the scaling factor tends to increase the observed biases, this relationship is not always straightforward, thus it may be difficult to know the impact of scaling on simulation outcomes a priori. However, it appears that for most models, only a small number of replicates was needed to accurately quantify the bias produced by rescaling for a given Q . In summary, while rescaling forward-in-time simulations may be necessary in many cases, researchers should be aware of the rescaling effect's impact on simulation outcomes and consider investigating its magnitude in smaller scale simulations of the desired model(s) before selecting an appropriate value of Q .
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Affiliation(s)
- Amjad Dabi
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Daniel R. Schrider
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
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9
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Liu S, Luo H, Zhang P, Li Y, Hao D, Zhang S, Song T, Xu T, He S. Adaptive Selection of Cis-regulatory Elements in the Han Chinese. Mol Biol Evol 2024; 41:msae034. [PMID: 38377343 PMCID: PMC10917166 DOI: 10.1093/molbev/msae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/18/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024] Open
Abstract
Cis-regulatory elements have an important role in human adaptation to the living environment. However, the lag in population genomic cohort studies and epigenomic studies, hinders the research in the adaptive analysis of cis-regulatory elements in human populations. In this study, we collected 4,013 unrelated individuals and performed a comprehensive analysis of adaptive selection of genome-wide cis-regulatory elements in the Han Chinese. In total, 12.34% of genomic regions are under the influence of adaptive selection, where 1.00% of enhancers and 2.06% of promoters are under positive selection, and 0.06% of enhancers and 0.02% of promoters are under balancing selection. Gene ontology enrichment analysis of these cis-regulatory elements under adaptive selection reveals that many positive selections in the Han Chinese occur in pathways involved in cell-cell adhesion processes, and many balancing selections are related to immune processes. Two classes of adaptive cis-regulatory elements related to cell adhesion were in-depth analyzed, one is the adaptive enhancers derived from neanderthal introgression, leads to lower hyaluronidase level in skin, and brings better performance on UV-radiation resistance to the Han Chinese. Another one is the cis-regulatory elements regulating wound healing, and the results suggest the positive selection inhibits coagulation and promotes angiogenesis and wound healing in the Han Chinese. Finally, we found that many pathogenic alleles, such as risky alleles of type 2 diabetes or schizophrenia, remain in the population due to the hitchhiking effect of positive selections. Our findings will help deepen our understanding of the adaptive evolution of genome regulation in the Han Chinese.
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Affiliation(s)
- Shuai Liu
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huaxia Luo
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Peng Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanyan Li
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Di Hao
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Sijia Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingrui Song
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China
| | - Shunmin He
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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10
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Wang YL, Li L, Paudel BR, Zhao JL. Genomic Insights into High-Altitude Adaptation: A Comparative Analysis of Roscoea alpina and R. purpurea in the Himalayas. Int J Mol Sci 2024; 25:2265. [PMID: 38396942 PMCID: PMC10889555 DOI: 10.3390/ijms25042265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
Environmental stress at high altitudes drives the development of distinct adaptive mechanisms in plants. However, studies exploring the genetic adaptive mechanisms of high-altitude plant species are scarce. In the present study, we explored the high-altitude adaptive mechanisms of plants in the Himalayas through whole-genome resequencing. We studied two widespread members of the Himalayan endemic alpine genus Roscoea (Zingiberaceae): R. alpina (a selfing species) and R. purpurea (an outcrossing species). These species are distributed widely in the Himalayas with distinct non-overlapping altitude distributions; R. alpina is distributed at higher elevations, and R. purpurea occurs at lower elevations. Compared to R. purpurea, R. alpina exhibited higher levels of linkage disequilibrium, Tajima's D, and inbreeding coefficient, as well as lower recombination rates and genetic diversity. Approximately 96.3% of the genes in the reference genome underwent significant genetic divergence (FST ≥ 0.25). We reported 58 completely divergent genes (FST = 1), of which only 17 genes were annotated with specific functions. The functions of these genes were primarily related to adapting to the specific characteristics of high-altitude environments. Our findings provide novel insights into how evolutionary innovations promote the adaptation of mountain alpine species to high altitudes and harsh habitats.
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Affiliation(s)
- Ya-Li Wang
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming 650504, China; (Y.-L.W.); (L.L.)
| | - Li Li
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming 650504, China; (Y.-L.W.); (L.L.)
| | - Babu Ram Paudel
- Research Centre for Applied Science and Technology, Tribhuvan University, Kirtipur 44613, Nepal
| | - Jian-Li Zhao
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming 650504, China; (Y.-L.W.); (L.L.)
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11
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Ray DD, Flagel L, Schrider DR. IntroUNET: Identifying introgressed alleles via semantic segmentation. PLoS Genet 2024; 20:e1010657. [PMID: 38377104 PMCID: PMC10906877 DOI: 10.1371/journal.pgen.1010657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/01/2024] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
A growing body of evidence suggests that gene flow between closely related species is a widespread phenomenon. Alleles that introgress from one species into a close relative are typically neutral or deleterious, but sometimes confer a significant fitness advantage. Given the potential relevance to speciation and adaptation, numerous methods have therefore been devised to identify regions of the genome that have experienced introgression. Recently, supervised machine learning approaches have been shown to be highly effective for detecting introgression. One especially promising approach is to treat population genetic inference as an image classification problem, and feed an image representation of a population genetic alignment as input to a deep neural network that distinguishes among evolutionary models (i.e. introgression or no introgression). However, if we wish to investigate the full extent and fitness effects of introgression, merely identifying genomic regions in a population genetic alignment that harbor introgressed loci is insufficient-ideally we would be able to infer precisely which individuals have introgressed material and at which positions in the genome. Here we adapt a deep learning algorithm for semantic segmentation, the task of correctly identifying the type of object to which each individual pixel in an image belongs, to the task of identifying introgressed alleles. Our trained neural network is thus able to infer, for each individual in a two-population alignment, which of those individual's alleles were introgressed from the other population. We use simulated data to show that this approach is highly accurate, and that it can be readily extended to identify alleles that are introgressed from an unsampled "ghost" population, performing comparably to a supervised learning method tailored specifically to that task. Finally, we apply this method to data from Drosophila, showing that it is able to accurately recover introgressed haplotypes from real data. This analysis reveals that introgressed alleles are typically confined to lower frequencies within genic regions, suggestive of purifying selection, but are found at much higher frequencies in a region previously shown to be affected by adaptive introgression. Our method's success in recovering introgressed haplotypes in challenging real-world scenarios underscores the utility of deep learning approaches for making richer evolutionary inferences from genomic data.
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Affiliation(s)
- Dylan D. Ray
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Lex Flagel
- Division of Data Science, Gencove Inc., New York, New York, United States of America
- Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota, United States of America
| | - Daniel R. Schrider
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
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12
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Ray DD, Flagel L, Schrider DR. IntroUNET: identifying introgressed alleles via semantic segmentation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.02.07.527435. [PMID: 36865105 PMCID: PMC9979274 DOI: 10.1101/2023.02.07.527435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
A growing body of evidence suggests that gene flow between closely related species is a widespread phenomenon. Alleles that introgress from one species into a close relative are typically neutral or deleterious, but sometimes confer a significant fitness advantage. Given the potential relevance to speciation and adaptation, numerous methods have therefore been devised to identify regions of the genome that have experienced introgression. Recently, supervised machine learning approaches have been shown to be highly effective for detecting introgression. One especially promising approach is to treat population genetic inference as an image classification problem, and feed an image representation of a population genetic alignment as input to a deep neural network that distinguishes among evolutionary models (i.e. introgression or no introgression). However, if we wish to investigate the full extent and fitness effects of introgression, merely identifying genomic regions in a population genetic alignment that harbor introgressed loci is insufficient-ideally we would be able to infer precisely which individuals have introgressed material and at which positions in the genome. Here we adapt a deep learning algorithm for semantic segmentation, the task of correctly identifying the type of object to which each individual pixel in an image belongs, to the task of identifying introgressed alleles. Our trained neural network is thus able to infer, for each individual in a two-population alignment, which of those individual's alleles were introgressed from the other population. We use simulated data to show that this approach is highly accurate, and that it can be readily extended to identify alleles that are introgressed from an unsampled "ghost" population, performing comparably to a supervised learning method tailored specifically to that task. Finally, we apply this method to data from Drosophila, showing that it is able to accurately recover introgressed haplotypes from real data. This analysis reveals that introgressed alleles are typically confined to lower frequencies within genic regions, suggestive of purifying selection, but are found at much higher frequencies in a region previously shown to be affected by adaptive introgression. Our method's success in recovering introgressed haplotypes in challenging real-world scenarios underscores the utility of deep learning approaches for making richer evolutionary inferences from genomic data.
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Affiliation(s)
- Dylan D. Ray
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Lex Flagel
- Division of Data Science, Gencove Inc., New York, NY 11101, USA
- Department of Plant and Microbial Biology, University of Minnesota, St Paul MN, 55108, USA
| | - Daniel R. Schrider
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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13
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Xiang X, Zhou X, Zi H, Wei H, Cao D, Zhang Y, Zhang L, Hu J. Populus cathayana genome and population resequencing provide insights into its evolution and adaptation. HORTICULTURE RESEARCH 2024; 11:uhad255. [PMID: 38274646 PMCID: PMC10809908 DOI: 10.1093/hr/uhad255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/20/2023] [Indexed: 01/27/2024]
Abstract
Populus cathayana Rehder, an indigenous poplar species of ecological and economic importance, is widely distributed in a high-elevation range from southwest to northeast China. Further development of this species as a sustainable poplar resource has been hindered by a lack of genome information the at the population level. Here, we produced a chromosome-level genome assembly of P. cathayana, covering 406.55 Mb (scaffold N50 = 20.86 Mb) and consisting of 19 chromosomes, with 35 977 protein-coding genes. Subsequently, we made a genomic variation atlas of 438 wild individuals covering 36 representative geographic areas of P. cathayana, which were divided into four geographic groups. It was inferred that the Northwest China regions served as the genetic diversity centers and a population bottleneck happened during the history of P. cathayana. By genotype-environment association analysis, 947 environment-association loci were significantly associated with temperature, solar radiation, precipitation, and altitude variables. We identified local adaptation genes involved in DNA repair and UV radiation response, among which UVR8, HY5, and CUL4 had key roles in high-altitude adaptation of P. cathayana. Predictions of adaptive potential under future climate conditions showed that P. cathayana populations in areas with drastic climate change were anticipated to have greater maladaptation risk. These results provide comprehensive insights for understanding wild poplar evolution and optimizing adaptive potential in molecular breeding.
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Affiliation(s)
- Xiaodong Xiang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Xinglu Zhou
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Hailing Zi
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Hantian Wei
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
| | - Demei Cao
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
| | - Yahong Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
| | - Lei Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
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14
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Zhang H, Hansson B. RecView: an interactive R application for locating recombination positions using pedigree data. BMC Genomics 2023; 24:712. [PMID: 38007417 PMCID: PMC10676570 DOI: 10.1186/s12864-023-09807-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/14/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND Recombination reshuffles alleles at linked loci, allowing genes to evolve independently and consequently enhancing the efficiency of selection. This makes quantifying recombination along chromosomes an important goal for understanding how selection and drift are acting on genes and chromosomes. RESULTS We present RecView, an interactive R application and its homonymous R package, to facilitate locating recombination positions along chromosomes or scaffolds using whole-genome genotype data of a three-generation pedigree. RecView analyses and plots the grandparent-of-origin of all informative alleles along each chromosome of the offspring in the pedigree, and infers recombination positions with either of two built-in algorithms: one based on change in the proportion of the alleles with specific grandparent-of-origin, and one on the degree of continuity of alleles with the same grandparent-of-origin. RecView handles multiple offspring and chromosomes simultaneously, and all putative recombination positions are reported in base pairs together with an estimated precision based on the local density of informative alleles. We demonstrate RecView using genotype data of a passerine bird with an available reference genome, the great reed warbler (Acrocephalus arundinaceus), and show that recombination events can be located to specific positions. CONCLUSIONS RecView is an easy-to-use and highly effective application for locating recombination positions with high precision. RecView is available on GitHub ( https://github.com/HKyleZhang/RecView.git ).
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Affiliation(s)
- Hongkai Zhang
- Department of Biology, Lund University, Lund, 22362, Sweden.
| | - Bengt Hansson
- Department of Biology, Lund University, Lund, 22362, Sweden.
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15
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Wang T, van Dijk ADJ, Bucher J, Liang J, Wu J, Bonnema G, Wang X. Interploidy Introgression Shaped Adaptation during the Origin and Domestication History of Brassica napus. Mol Biol Evol 2023; 40:msad199. [PMID: 37707440 PMCID: PMC10504873 DOI: 10.1093/molbev/msad199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/15/2023] Open
Abstract
Polyploidy is recurrent across the tree of life and known as an evolutionary driving force in plant diversification and crop domestication. How polyploid plants adapt to various habitats has been a fundamental question that remained largely unanswered. Brassica napus is a major crop cultivated worldwide, resulting from allopolyploidy between unknown accessions of diploid B. rapa and B. oleracea. Here, we used whole-genome resequencing data of accessions representing the majority of morphotypes and ecotypes from the species B. rapa, B. oleracea, and B. napus to investigate the role of polyploidy during domestication. To do so, we first reconstructed the phylogenetic history of B. napus, which supported the hypothesis that the emergence of B. napus derived from the hybridization of European turnip of B. rapa and wild B. oleracea. These analyses also showed that morphotypes of swede and Siberian kale (used as vegetable and fodder) were domesticated before rapeseed (oil crop). We next observed that frequent interploidy introgressions from sympatric diploids were prominent throughout the domestication history of B. napus. Introgressed genomic regions were shown to increase the overall genetic diversity and tend to be localized in regions of high recombination. We detected numerous candidate adaptive introgressed regions and found evidence that some of the genes in these regions contributed to phenotypic diversification and adaptation of different morphotypes. Overall, our results shed light on the origin and domestication of B. napus and demonstrate interploidy introgression as an important mechanism that fuels rapid diversification in polyploid species.
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Affiliation(s)
- Tianpeng Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Aalt D J van Dijk
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Johan Bucher
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
| | - Jianli Liang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jian Wu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guusje Bonnema
- Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
| | - Xiaowu Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
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16
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Shang H, Field DL, Paun O, Rendón-Anaya M, Hess J, Vogl C, Liu J, Ingvarsson PK, Lexer C, Leroy T. Drivers of genomic landscapes of differentiation across a Populus divergence gradient. Mol Ecol 2023; 32:4348-4361. [PMID: 37271855 DOI: 10.1111/mec.17034] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/20/2023] [Accepted: 05/23/2023] [Indexed: 06/06/2023]
Abstract
Speciation, the continuous process by which new species form, is often investigated by looking at the variation of nucleotide diversity and differentiation across the genome (hereafter genomic landscapes). A key challenge lies in how to determine the main evolutionary forces at play shaping these patterns. One promising strategy, albeit little used to date, is to comparatively investigate these genomic landscapes as progression through time by using a series of species pairs along a divergence gradient. Here, we resequenced 201 whole-genomes from eight closely related Populus species, with pairs of species at different stages along the divergence gradient to learn more about speciation processes. Using population structure and ancestry analyses, we document extensive introgression between some species pairs, especially those with parapatric distributions. We further investigate genomic landscapes, focusing on within-species (i.e. nucleotide diversity and recombination rate) and among-species (i.e. relative and absolute divergence) summary statistics of diversity and divergence. We observe relatively conserved patterns of genomic divergence across species pairs. Independent of the stage across the divergence gradient, we find support for signatures of linked selection (i.e. the interaction between natural selection and genetic linkage) in shaping these genomic landscapes, along with gene flow and standing genetic variation. We highlight the importance of investigating genomic patterns on multiple species across a divergence gradient and discuss prospects to better understand the evolutionary forces shaping the genomic landscapes of diversity and differentiation.
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Affiliation(s)
- Huiying Shang
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
- Vienna Graduate School of Population Genetics, Vienna, Austria
- Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, Xi'an, China
| | - David L Field
- School of Science, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Ovidiu Paun
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Martha Rendón-Anaya
- Department of Plant Biology, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Jaqueline Hess
- Helmholtz Centre for Environmental Research, Halle (Saale), Germany
| | - Claus Vogl
- Department of Biomedical Sciences, Vetmeduni Vienna, Vienna, Austria
| | - Jianquan Liu
- Key Laboratory for Bio-resources and Eco-environment, College of Life Science, Sichuan University, Chengdu, China
| | - Pär K Ingvarsson
- Department of Plant Biology, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Christian Lexer
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Thibault Leroy
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
- GenPhySE, INRAE, INP, ENVT, Université de Toulouse, Castanet-Tolosan, France
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17
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Wu H, Wang Z, Zhang Y, Frantz L, Roos C, Irwin DM, Zhang C, Liu X, Wu D, Huang S, Gu T, Liu J, Yu L. Hybrid origin of a primate, the gray snub-nosed monkey. Science 2023; 380:eabl4997. [PMID: 37262139 DOI: 10.1126/science.abl4997] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 07/06/2022] [Indexed: 06/03/2023]
Abstract
Hybridization is widely recognized as promoting both species and phenotypic diversity. However, its role in mammalian evolution is rarely examined. We report historical hybridization among a group of snub-nosed monkeys (Rhinopithecus) that resulted in the origin of a hybrid species. The geographically isolated gray snub-nosed monkey Rhinopithecus brelichi shows a stable mixed genomic ancestry derived from the golden snub-nosed monkey (Rhinopithecus roxellana) and the ancestor of black-white (Rhinopithecus bieti) and black snub-nosed monkeys (Rhinopithecus strykeri). We further identified key genes derived from the parental lineages, respectively, that may have contributed to the mosaic coat coloration of R. brelichi, which likely promoted premating reproductive isolation of the hybrid from parental lineages. Our study highlights the underappreciated role of hybridization in generating species and phenotypic diversity in mammals.
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Affiliation(s)
- Hong Wu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Zefu Wang
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China
| | - Yuxing Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Laurent Frantz
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University of Munich, D-80539 Munich, Germany
- School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Chenglin Zhang
- Beijing Key Laboratory of Captive Wildlife Technologies in Beijing Zoo, Beijing, China
| | - Xuefeng Liu
- Beijing Key Laboratory of Captive Wildlife Technologies in Beijing Zoo, Beijing, China
| | - Dongdong Wu
- Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | | | - Tongtong Gu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Jianquan Liu
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou 730000, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
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18
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Liu Y, Shen K, Yin C, Xu X, Yu X, Ye B, Sun Z, Dong J, Bi A, Zhao X, Xu D, He Z, Zhang X, Hao C, Wu J, Wang Z, Wu H, Liu D, Zhang L, Shen L, Hao Y, Lu F, Guo Z. Genetic basis of geographical differentiation and breeding selection for wheat plant architecture traits. Genome Biol 2023; 24:114. [PMID: 37173729 PMCID: PMC10176713 DOI: 10.1186/s13059-023-02932-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 04/10/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Plant architecture associated with increased grain yield and adaptation to the local environments is selected during wheat (Triticum aestivum) breeding. The internode length of individual stems and tiller length of individual plants are important for the determination of plant architecture. However, few studies have explored the genetic basis of these traits. RESULTS Here, we conduct a genome-wide association study (GWAS) to dissect the genetic basis of geographical differentiation of these traits in 306 worldwide wheat accessions including both landraces and traditional varieties. We determine the changes of haplotypes for the associated genomic regions in frequency in 831 wheat accessions that are either introduced from other countries or developed in China from last two decades. We identify 83 loci that are associated with one trait, while the remaining 247 loci are pleiotropic. We also find 163 associated loci are under strong selective sweep. GWAS results demonstrate independent regulation of internode length of individual stems and consistent regulation of tiller length of individual plants. This makes it possible to obtain ideal haplotype combinations of the length of four internodes. We also find that the geographical distribution of the haplotypes explains the observed differences in internode length among the worldwide wheat accessions. CONCLUSION This study provides insights into the genetic basis of plant architecture. It will facilitate gene functional analysis and molecular design of plant architecture for breeding.
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Affiliation(s)
- Yangyang Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Kuocheng Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Changbin Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Xiaowan Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xuchang Yu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Botao Ye
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Zhiwen Sun
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Jiayu Dong
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Aoyue Bi
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Xuebo Zhao
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Daxing Xu
- University of Chinese Academy of Sciences, 100049, Beijing, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, Beijing, 100081, China
| | - Xueyong Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Chenyang Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Ziying Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - He Wu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Danni Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Lili Zhang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Liping Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Fei Lu
- University of Chinese Academy of Sciences, 100049, Beijing, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100010, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
| | - Zifeng Guo
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, 100049, Beijing, China.
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19
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Xue J, Tan M, Zhang R, Chen D, Liu G, Zheng Y, Wu Q, Xiao Y, Liao M, Qu S, Liang W. Evaluation of microhaplotype panels for complex kinship analysis using massively parallel sequencing. Forensic Sci Int Genet 2023; 65:102887. [PMID: 37209601 DOI: 10.1016/j.fsigen.2023.102887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/27/2023] [Accepted: 04/29/2023] [Indexed: 05/22/2023]
Abstract
In recent years, microhaplotypes (MHs) have become a research hotspot within the field of forensic genetics. Traditional MHs contain only SNPs that are closely linked within short fragments. Herein, we broaden the concept of general MHs to include short InDels. Complex kinship identification plays an important role in disaster victim identification and criminal investigations. For distant relatives (e.g., 3rd-degree), many genetic markers are required to enhance power of kinship testing. We performed genome-wide screening for new MH markers composed of two or more variants (InDel or SNP) within 220 bp based on the Chinese Southern Han from the 1000 Genomes Project. An NGS-based 67plex MH panel (Panel B) was successfully developed, and 124 unrelated individual samples were sequenced to obtain population genetic data, including alleles and allele frequencies. Of the 67 genetic markers, 65 MHs were, as far as we know, newly discovered, and 32 MHs had effective number of allele (Ae) values greater than 5.0. The average Ae and heterozygosity of the panel were 5.34 and 0.7352, respectively. Next, 53 MHs from a previous study were collected as Panel A (average Ae of 7.43), and Panel C with 87 MHs (average Ae of 7.02) was formed by combining Panels A and B. We investigated the utility of these three panels in kinship analysis (parent-child, full siblings, 2nd-degree, 3rd-degree, 4th-degree, and 5th-degree relatives), with Panel C exhibiting better performance than the two other panels. Panel C was able to separate parent-child, full-sibling, and 2nd-degree relative duos from unrelated controls in real pedigree data, with a small false testing level (FTL) of 0.11% in simulated 2nd-degree duos. For more distant relationships, the FTL was much higher: 8.99% for 3rd-degree, 35.46% for 4th-degree, and 61.55% for 5th-degree. When a carefully chosen extra relative was known, this may enhance the testing power for distant kinship analysis. Two twins from the Q family (2-5 and 2-7) and W family (3-18 and 3-19) shared the same genotypes in all tested MHs, which led to the incorrect conclusion that an uncle-nephew duo was classified as a parent-child duo. In addition, Panel C showed great capacity for excluding close relatives (2nd-degree and 3rd-degree relatives) during paternity tests. Among 18,246 real and 10,000 simulated unrelated pairs, none were misinterpreted as a relative within 2nd-degree at a log10(LR) cutoff of 4. The panels presented herein could provide supplementary power for the analysis of complex kinship.
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Affiliation(s)
- Jiaming Xue
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Mengyu Tan
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Ranran Zhang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Dezhi Chen
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Guihong Liu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Yazi Zheng
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Qiushuo Wu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Yuanyuan Xiao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Miao Liao
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Shengqiu Qu
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
| | - Weibo Liang
- Department of Forensic Genetics, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
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20
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Kessler C, Wootton E, Shafer ABA. Speciation without gene-flow in hybridizing deer. Mol Ecol 2023; 32:1117-1132. [PMID: 36516402 DOI: 10.1111/mec.16824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 12/01/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022]
Abstract
Under the ecological speciation model, divergent selection acts on ecological differences between populations, gradually creating barriers to gene flow and ultimately leading to reproductive isolation. Hybridisation is part of this continuum and can both promote and inhibit the speciation process. Here, we used white-tailed (Odocoileus virginianus) and mule deer (O. hemionus) to investigate patterns of speciation in hybridizing sister species. We quantified genome-wide historical introgression and performed genome scans to look for signatures of four different selection scenarios. Despite ample modern evidence of hybridisation, we found negligible patterns of ancestral introgression and no signatures of divergence with gene flow, rather localized patterns of allopatric and balancing selection were detected across the genome. Genes under balancing selection were related to immunity, MHC and sensory perception of smell, the latter of which is consistent with deer biology. The deficiency of historical gene-flow suggests that white-tailed and mule deer were spatially separated during the glaciation cycles of the Pleistocene and genome wide differentiation accrued via genetic drift. Dobzhansky-Muller incompatibilities and selection against hybrids are hypothesised to be acting, and diversity correlations to recombination rates suggests these sister species are far along the speciation continuum.
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Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Eric Wootton
- Biochemistry & Molecular Biology, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
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21
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Abstract
Nearly all lineages of land plants have experienced at least one whole-genome duplication (WGD) in their history. The legacy of these ancient WGDs is still observable in the diploidized genomes of extant plants. Genes originating from WGD-paleologs-can be maintained in diploidized genomes for millions of years. These paleologs have the potential to shape plant evolution through sub- and neofunctionalization, increased genetic diversity, and reciprocal gene loss among lineages. Current methods for classifying paleologs often rely on only a subset of potential genomic features, have varying levels of accuracy, and often require significant data and/or computational time. Here, we developed a supervised machine learning approach to classify paleologs from a target WGD in diploidized genomes across a broad range of different duplication histories. We collected empirical data on syntenic block sizes and other genomic features from 27 plant species each with a different history of paleopolyploidy. Features from these genomes were used to develop simulations of syntenic blocks and paleologs to train a gradient boosted decision tree. Using this approach, Frackify (Fractionation Classify), we were able to accurately identify and classify paleologs across a broad range of parameter space, including cases with multiple overlapping WGDs. We then compared Frackify with other paleolog inference approaches in six species with paleotetraploid and paleohexaploid ancestries. Frackify provides a way to combine multiple genomic features to quickly classify paleologs while providing a high degree of consistency with existing approaches.
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22
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Li Y, Wang S, Zhang Z, Luo J, Lin GL, Deng WD, Guo Z, Han FM, Wang LL, Li J, Wu SF, Liu HQ, He S, Murphy RW, Zhang ZJ, Cooper DN, Wu DD, Zhang YP. Large-Scale Chromosomal Changes Lead to Genome-Level Expression Alterations, Environmental Adaptation, and Speciation in the Gayal (Bos frontalis). Mol Biol Evol 2023; 40:6980758. [PMID: 36625089 PMCID: PMC9874039 DOI: 10.1093/molbev/msad006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 12/20/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023] Open
Abstract
Determining the functional consequences of karyotypic changes is invariably challenging because evolution tends to obscure many of its own footprints, such as accumulated mutations, recombination events, and demographic perturbations. Here, we describe the assembly of a chromosome-level reference genome of the gayal (Bos frontalis) thereby revealing the structure, at base-pair-level resolution, of a telo/acrocentric-to-telo/acrocentric Robertsonian translocation (2;28) (T/A-to-T/A rob[2;28]). The absence of any reduction in the recombination rate or genetic introgression within the fusion region of gayal served to challenge the long-standing view of a role for fusion-induced meiotic dysfunction in speciation. The disproportionate increase noted in the distant interactions across pro-chr2 and pro-chr28, and the change in open-chromatin accessibility following rob(2;28), may, however, have led to the various gene expression irregularities observed in the gayal. Indeed, we found that many muscle-related genes, located synthetically on pro-chr2 and pro-chr28, exhibited significant changes in expression. This, combined with genome-scale structural variants and expression alterations in genes involved in myofibril composition, may have driven the rapid sarcomere adaptation of gayal to its rugged mountain habitat. Our findings not only suggest that large-scale chromosomal changes can lead to alterations in genome-level expression, thereby promoting both adaptation and speciation, but also illuminate novel avenues for studying the relationship between karyotype evolution and speciation.
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Affiliation(s)
- Yan Li
- Corresponding authors: E-mails: ;
| | | | | | | | | | | | | | | | - Li-Li Wang
- Biomarker Technologies Corporation, Beijing, China
| | - Jie Li
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan and School of Ecology and Environmental Science, Yunnan University, Kunming, China
| | - Shi-Fang Wu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - He-Qun Liu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Sheng He
- Nujiang Livestock Technology Promotion Station, Nujiang, China
| | - Robert W Murphy
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China,Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto, ON, Canada
| | - Zi-Jie Zhang
- State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan and School of Ecology and Environmental Science, Yunnan University, Kunming, China
| | - David N Cooper
- Institute of Medical Genetics, Cardiff University, Cardiff, United Kingdom
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China,Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
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23
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Zhang W, Tan C, Hu H, Pan R, Xiao Y, Ouyang K, Zhou G, Jia Y, Zhang X, Hill CB, Wang P, Chapman B, Han Y, Xu L, Xu Y, Angessa T, Luo H, Westcott S, Sharma D, Nevo E, Barrero RA, Bellgard MI, He T, Tian X, Li C. Genome architecture and diverged selection shaping pattern of genomic differentiation in wild barley. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:46-62. [PMID: 36054248 PMCID: PMC9829399 DOI: 10.1111/pbi.13917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/09/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
Divergent selection of populations in contrasting environments leads to functional genomic divergence. However, the genomic architecture underlying heterogeneous genomic differentiation remains poorly understood. Here, we de novo assembled two high-quality wild barley (Hordeum spontaneum K. Koch) genomes and examined genomic differentiation and gene expression patterns under abiotic stress in two populations. These two populations had a shared ancestry and originated in close geographic proximity but experienced different selective pressures due to their contrasting micro-environments. We identified structural variants that may have played significant roles in affecting genes potentially associated with well-differentiated phenotypes such as flowering time and drought response between two wild barley genomes. Among them, a 29-bp insertion into the promoter region formed a cis-regulatory element in the HvWRKY45 gene, which may contribute to enhanced tolerance to drought. A single SNP mutation in the promoter region may influence HvCO5 expression and be putatively linked to local flowering time adaptation. We also revealed significant genomic differentiation between the two populations with ongoing gene flow. Our results indicate that SNPs and small SVs link to genetic differentiation at the gene level through local adaptation and are maintained through divergent selection. In contrast, large chromosome inversions may have shaped the heterogeneous pattern of genomic differentiation along the chromosomes by suppressing chromosome recombination and gene flow. Our research offers novel insights into the genomic basis underlying local adaptation and provides valuable resources for the genetic improvement of cultivated barley.
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Affiliation(s)
- Wenying Zhang
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Cong Tan
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Haifei Hu
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Rui Pan
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Yuhui Xiao
- Grandomics Biotechnology Co., LtdWuhanChina
| | - Kai Ouyang
- Grandomics Biotechnology Co., LtdWuhanChina
| | - Gaofeng Zhou
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Yong Jia
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Xiao‐Qi Zhang
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Camilla Beate Hill
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Penghao Wang
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Brett Chapman
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Yong Han
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
| | - Le Xu
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Yanhao Xu
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Tefera Angessa
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Hao Luo
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Sharon Westcott
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
| | - Darshan Sharma
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
| | - Eviatar Nevo
- Institute of EvolutionUniversity of HaifaHaifaIsrael
| | - Roberto A. Barrero
- eResearch OfficeQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Matthew I. Bellgard
- eResearch OfficeQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Tianhua He
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Xiaohai Tian
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Chengdao Li
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
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24
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Long X, Charlesworth D, Qi J, Wu R, Chen M, Wang Z, Xu L, Fu H, Zhang X, Chen X, He L, Zheng L, Huang Z, Zhou Q. Independent Evolution of Sex Chromosomes and Male Pregnancy-Related Genes in Two Seahorse Species. Mol Biol Evol 2022; 40:6964685. [PMID: 36578180 PMCID: PMC9851323 DOI: 10.1093/molbev/msac279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/14/2022] [Accepted: 12/22/2022] [Indexed: 12/30/2022] Open
Abstract
Unlike birds and mammals, many teleosts have homomorphic sex chromosomes, and changes in the chromosome carrying the sex-determining locus, termed "turnovers", are common. Recent turnovers allow studies of several interesting questions. One question is whether the new sex-determining regions evolve to become completely non-recombining, and if so, how and why. Another is whether (as predicted) evolutionary changes that benefit one sex accumulate in the newly sex-linked region. To study these questions, we analyzed the genome sequences of two seahorse species of the Syngnathidae, a fish group in which many species evolved a unique structure, the male brood pouch. We find that both seahorse species have XY sex chromosome systems, but their sex chromosome pairs are not homologs, implying that at least one turnover event has occurred. The Y-linked regions occupy 63.9% and 95.1% of the entire sex chromosome of the two species and do not exhibit extensive sequence divergence with their X-linked homologs. We find evidence for occasional recombination between the extant sex chromosomes that may account for their homomorphism. We argue that these Y-linked regions did not evolve by recombination suppression after the turnover, but by the ancestral nature of the low crossover rates in these chromosome regions. With such an ancestral crossover landscape, a turnover can instantly create an extensive Y-linked region. Finally, we test for adaptive evolution of male pouch-related genes after they became Y-linked in the seahorse.
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Affiliation(s)
- Xin Long
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China,Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou 311100, China
| | - Deborah Charlesworth
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, West Mains Road, Edinburgh EH9 3LF, UK
| | - Jianfei Qi
- Department of Aquaculture, Fisheries Research Institute of Fujian, Xiamen 361013, China
| | - Ruiqiong Wu
- Fujian Key Laboratory of Developmental and Neural Biology & Southern Center for Biomedical Research, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Meiling Chen
- Fujian Key Laboratory of Developmental and Neural Biology & Southern Center for Biomedical Research, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Zongji Wang
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
| | - Luohao Xu
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Honggao Fu
- Fujian Key Laboratory of Developmental and Neural Biology & Southern Center for Biomedical Research, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Xueping Zhang
- Fujian Key Laboratory of Developmental and Neural Biology & Southern Center for Biomedical Research, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Xinxin Chen
- Department of Aquaculture, Fisheries Research Institute of Fujian, Xiamen 361013, China
| | - Libin He
- Department of Aquaculture, Fisheries Research Institute of Fujian, Xiamen 361013, China
| | | | | | - Qi Zhou
- Corresponding authors: E-mails: ; ;
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25
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Zhang J, Zhang S, Zheng Z, Lu Z, Yang Y. Genomic divergence between two sister Ostrya species through linked selection and recombination. Ecol Evol 2022; 12:e9611. [PMID: 36540075 PMCID: PMC9754895 DOI: 10.1002/ece3.9611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/16/2022] [Accepted: 11/22/2022] [Indexed: 12/23/2022] Open
Abstract
Studying the evolution of genomic divergence between lineages is a topical issue in evolutionary biology. However, the evolutionary forces that shape the heterogeneous divergence of the genomic landscape are still poorly understood. Here, two wind-pollinated sister-species (Ostrya japonica and O. chinensis) are used to explore what these potential forces might be. A total of 40 individuals from 16 populations across their main distribution areas in China were sampled for genome-wide resequencing. Population demography analyses revealed that these two sister-species diverged at 3.06-4.43 Mya. Both population contraction and increased gene flow were detected during glacial periods, suggesting secondary contact at those times. All three parameters (D XY, π, and ρ) decreased in those regions showing high levels of differentiation (F ST). These findings indicate that linked selection and recombination played a key role in the genomic heterogeneous differentiation between the two Ostrya species. Genotype-environment association analyses showed that precipitation was the most important ecological factor for speciation. Such environmentally related genes and positive selection genes may have contributed to local adaptation and the maintenance of species boundaries.
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Affiliation(s)
- Jin Zhang
- State Key Laboratory of Grassland Agro‐Ecosystems, College of EcologyLanzhou UniversityLanzhouChina
| | - Shangzhe Zhang
- State Key Laboratory of Grassland Agro‐Ecosystems, College of EcologyLanzhou UniversityLanzhouChina
| | - Zeyu Zheng
- State Key Laboratory of Grassland Agro‐Ecosystems, College of EcologyLanzhou UniversityLanzhouChina
| | - Zhiqiang Lu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglaChina
| | - Yongzhi Yang
- State Key Laboratory of Grassland Agro‐Ecosystems, College of EcologyLanzhou UniversityLanzhouChina
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26
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Ye J, Zhang M, Yuan X, Hu D, Zhang Y, Xu S, Li Z, Li R, Liu J, Sun Y, Wang S, Feng Y, Xu Q, Yang Y, Wei X. Genomic insight into genetic changes and shaping of major inbred rice cultivars in China. THE NEW PHYTOLOGIST 2022; 236:2311-2326. [PMID: 36114658 DOI: 10.1111/nph.18500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/25/2022] [Indexed: 05/28/2023]
Abstract
The annual planting area of major inbred rice (Oryza sativa) cultivars reach more than half of the total annual planting area of inbred rice cultivars in China. However, how the major inbred rice cultivars changed during decades of genetic improvement and why they can be prevalently cultivated in China remains unclear. Here, we investigated the underlying genetic changes of major inbred cultivars and the contributions of landraces and introduced cultivars during the improvement by resequencing a collection of 439 rice accessions including major inbred cultivars, landraces, and introduced cultivars. The results showed that landraces were the main genetic contribution sources of major inbred Xian (Indica) cultivars, while introduced cultivars were that of major inbred Geng (Japonica) cultivars. Selection scans and haplotype frequency analysis shed light on the reflections of some well-known genes in rice improvement, and breeders had different preferences for the Xian's and Geng's breeding. Six candidate regions associated with agronomic traits were identified by genome-wide association mapping, five of which were under positive selection in rice improvement. Our study provides a comprehensive insight into the development of major inbred rice cultivars and lays the foundation for genomics-based breeding in rice.
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Affiliation(s)
- Junhua Ye
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Mengchen Zhang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Xiaoping Yuan
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Dongxiu Hu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yuanyuan Zhang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Siliang Xu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Zhen Li
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Ruosi Li
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Junrong Liu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yanfei Sun
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Shan Wang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yue Feng
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Qun Xu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yaolong Yang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Xinghua Wei
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
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27
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Lu Y, Li W, Li Y, Zhai W, Zhou X, Wu Z, Jiang S, Liu T, Wang H, Hu R, Zhou Y, Zou J, Hu P, Guan G, Xu Q, Canário AVM, Chen L. Population genomics of an icefish reveals mechanisms of glacier-driven adaptive radiation in Antarctic notothenioids. BMC Biol 2022; 20:231. [PMID: 36224580 PMCID: PMC9560024 DOI: 10.1186/s12915-022-01432-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 10/03/2022] [Indexed: 11/30/2022] Open
Abstract
Background Antarctica harbors the bulk of the species diversity of the dominant teleost fish suborder—Notothenioidei. However, the forces that shape their evolution are still under debate. Results We sequenced the genome of an icefish, Chionodraco hamatus, and used population genomics and demographic modelling of sequenced genomes of 52 C. hamatus individuals collected mainly from two East Antarctic regions to investigate the factors driving speciation. Results revealed four icefish populations with clear reproduction separation were established 15 to 50 kya (kilo years ago) during the last glacial maxima (LGM). Selection sweeps in genes involving immune responses, cardiovascular development, and photoperception occurred differentially among the populations and were correlated with population-specific microbial communities and acquisition of distinct morphological features in the icefish taxa. Population and species-specific antifreeze glycoprotein gene expansion and glacial cycle-paced duplication/degeneration of the zona pellucida protein gene families indicated fluctuating thermal environments and periodic influence of glacial cycles on notothenioid divergence. Conclusions We revealed a series of genomic evidence indicating differential adaptation of C. hamatus populations and notothenioid species divergence in the extreme and unique marine environment. We conclude that geographic separation and adaptation to heterogeneous pathogen, oxygen, and light conditions of local habitats, periodically shaped by the glacial cycles, were the key drivers propelling species diversity in Antarctica. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01432-x.
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Affiliation(s)
- Ying Lu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Wenhao Li
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Yalin Li
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Wanying Zhai
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Xuming Zhou
- Institute of Zoology, Chinese Academy of Science, Beijing, China
| | - Zhichao Wu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Shouwen Jiang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Taigang Liu
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China.,College of Information Technology, Shanghai Ocean University, Shanghai, China
| | - Huamin Wang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Ruiqin Hu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Yan Zhou
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Jun Zou
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Peng Hu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Guijun Guan
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China.,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China
| | - Qianghua Xu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China. .,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China.
| | - Adelino V M Canário
- International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China. .,Centre of Marine Sciences (CCMAR-CIMAR LA), University of Algarve, Faro, Portugal.
| | - Liangbiao Chen
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education), Shanghai Ocean University, Shanghai, China. .,International Research Center for Marine Biosciences (Ministry of Science and Technology), Shanghai Ocean University, Shanghai, China.
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28
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Zheng Z, Hu H, Lei W, Zhang J, Zhu M, Li Y, Zhang X, Ma J, Wan D, Ma T, Ren G, Ru D. Somatic mutations during rapid clonal domestication of
Populus alba
var.
pyramidalis. Evol Appl 2022; 15:1875-1887. [DOI: 10.1111/eva.13486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 09/08/2022] [Accepted: 09/15/2022] [Indexed: 12/01/2022] Open
Affiliation(s)
- Zeyu Zheng
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Hongyin Hu
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Weixiao Lei
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Jin Zhang
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Mingjia Zhu
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Ying Li
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Xu Zhang
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Jianchao Ma
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Dongshi Wan
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Tao Ma
- Key Laboratory of Bio‐Resource and Eco‐Environment of Ministry of Education, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan University Chengdu China
| | - Guangpeng Ren
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
| | - Dafu Ru
- State Key Laboratory of Grassland Agro‐Ecosystems, College of Ecology Lanzhou University Lanzhou China
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29
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Jeong H, Baran NM, Sun D, Chatterjee P, Layman TS, Balakrishnan CN, Maney DL, Yi SV. Dynamic molecular evolution of a supergene with suppressed recombination in white-throated sparrows. eLife 2022; 11:79387. [PMID: 36040313 PMCID: PMC9427109 DOI: 10.7554/elife.79387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/17/2022] [Indexed: 12/11/2022] Open
Abstract
In white-throated sparrows, two alternative morphs differing in plumage and behavior segregate with a large chromosomal rearrangement. As with sex chromosomes such as the mammalian Y, the rearranged version of chromosome two (ZAL2m) is in a near-constant state of heterozygosity, offering opportunities to investigate both degenerative and selective processes during the early evolutionary stages of 'supergenes.' Here, we generated, synthesized, and analyzed extensive genome-scale data to better understand the forces shaping the evolution of the ZAL2 and ZAL2m chromosomes in this species. We found that features of ZAL2m are consistent with substantially reduced recombination and low levels of degeneration. We also found evidence that selective sweeps took place both on ZAL2m and its standard counterpart, ZAL2, after the rearrangement event. Signatures of positive selection were associated with allelic bias in gene expression, suggesting that antagonistic selection has operated on gene regulation. Finally, we discovered a region exhibiting long-range haplotypes inside the rearrangement on ZAL2m. These haplotypes appear to have been maintained by balancing selection, retaining genetic diversity within the supergene. Together, our analyses illuminate mechanisms contributing to the evolution of a young chromosomal polymorphism, revealing complex selective processes acting concurrently with genetic degeneration to drive the evolution of supergenes.
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Affiliation(s)
- Hyeonsoo Jeong
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, United States
| | - Nicole M Baran
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.,Department of Psychology, Emory University, Atlanta, United States.,Department of Ecology, Evolution, Marine Biology, University of California, Santa Barbara, Santa Barbara, United States
| | - Dan Sun
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.,Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Paramita Chatterjee
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, United States
| | - Thomas S Layman
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, United States
| | | | - Donna L Maney
- Department of Psychology, Emory University, Atlanta, United States
| | - Soojin V Yi
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.,Department of Ecology, Evolution, Marine Biology, University of California, Santa Barbara, Santa Barbara, United States
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30
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van Eeden G, Uren C, Pless E, Mastoras M, van der Spuy GD, Tromp G, Henn BM, Möller M. The recombination landscape of the Khoe-San likely represents the upper limits of recombination divergence in humans. Genome Biol 2022; 23:172. [PMID: 35945619 PMCID: PMC9361568 DOI: 10.1186/s13059-022-02744-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 08/01/2022] [Indexed: 11/10/2022] Open
Abstract
Background Recombination maps are important resources for epidemiological and evolutionary analyses; however, there are currently no recombination maps representing any African population outside of those with West African ancestry. We infer the demographic history for the Nama, an indigenous Khoe-San population of southern Africa, and derive a novel, population-specific recombination map from the whole genome sequencing of 54 Nama individuals. We hypothesise that there are no publicly available recombination maps representative of the Nama, considering the deep population divergence and subsequent isolation of the Khoe-San from other African groups. Results We show that the recombination landscape of the Nama does not cluster with any continental groups with publicly available representative recombination maps. Finally, we use selection scans as an example of how fine-scale differences between the Nama recombination map and the combined Phase II HapMap recombination map can impact the outcome of selection scans. Conclusions Fine-scale differences in recombination can meaningfully alter the results of a selection scan. The recombination map we infer likely represents an upper bound on the extent of divergence we expect to see for a recombination map in humans and would be of interest to any researcher that wants to test the sensitivity of population genetic or GWAS analysis to recombination map input. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02744-5.
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Affiliation(s)
- Gerald van Eeden
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Caitlin Uren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa
| | - Evlyn Pless
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA
| | - Mira Mastoras
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA
| | - Gian D van der Spuy
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa.,SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, Cape Town, South Africa
| | - Gerard Tromp
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa.,SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, Cape Town, South Africa
| | - Brenna M Henn
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. .,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa.
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31
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Hu H, Yang Y, Li A, Zheng Z, Zhang J, Liu J. Genomic divergence of
Stellera chamaejasme
through local selection across the
Qinghai‐Tibet
Plateau and northern China. Mol Ecol 2022; 31:4782-4796. [DOI: 10.1111/mec.16622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/16/2022] [Accepted: 07/18/2022] [Indexed: 11/26/2022]
Affiliation(s)
- Hongyin Hu
- State Key Laboratory of Grassland Agro‐Ecosystems and College of Ecology Lanzhou University Lanzhou China
| | - Yongzhi Yang
- State Key Laboratory of Grassland Agro‐Ecosystems and College of Ecology Lanzhou University Lanzhou China
| | - Ao Li
- State Key Laboratory of Grassland Agro‐Ecosystems and College of Ecology Lanzhou University Lanzhou China
| | - Zeyu Zheng
- State Key Laboratory of Grassland Agro‐Ecosystems and College of Ecology Lanzhou University Lanzhou China
| | - Jin Zhang
- State Key Laboratory of Grassland Agro‐Ecosystems and College of Ecology Lanzhou University Lanzhou China
| | - Jianquan Liu
- State Key Laboratory of Grassland Agro‐Ecosystems and College of Ecology Lanzhou University Lanzhou China
- Key Laboratory for Bio‐Resource and Eco‐Environment of Ministry of Education, College of Life Sciences Sichuan University Chengdu China
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32
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Hou Z, Li A. Genomic Differentiation and Demographic Histories of Two Closely Related Salicaceae Species. FRONTIERS IN PLANT SCIENCE 2022; 13:911467. [PMID: 35747877 PMCID: PMC9210983 DOI: 10.3389/fpls.2022.911467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 05/06/2022] [Indexed: 06/15/2023]
Abstract
Populus alba (P. alba) and Populus davidiana (P. davidiana) are important plant species for answering a variety of issues on species evolution due to their wide distribution and ability to adapt to a variety of environments and climates. Even though P. alba and P. davidiana belong to ecologically and economically important forest trees in the Northern Hemisphere, little is known about their genomic landscape and genome divergence during speciation. We re-sequenced 20 and 19 members of P. davidiana and P. alba, respectively, and found that the Dxy value between P. alba and P. davidiana was 0.2658, whereas the F ST values were 0.2988, indicating that the genetic divergence was fairly clear. Populus davidiana and P. alba diverged from the ancestor in the middle Pleistocene, c. 0.80 Ma (95% HPD: 0.79-0.81 Ma). The population sizes of P. davidiana increased ~20,000 years ago after a considerable long-term decline following divergence. However, after differentiation, the effective population size of P. alba expanded slightly before experiencing a long-term bottleneck effect. According to the expectation of allopatric speciation, we found a significant number of genomic differentiation sites in both species' speciation events, and the majority of these genomic differentiation regions can be attributed to neutral evolutionary processes. Nevertheless, the regions with extreme divergence exist in abundance, indicating that natural selection has had an impact. Positive selection can be found in highly differentiated regions, while long-term balancing selection traits can be easily observed in low differentiated regions. According to these findings, climate differences over the Quaternary, as well as variance in linked selection and recombination, all contributed significantly to genomic divergence during allopatric speciation of the two aspens.
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33
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Dittberner H, Tellier A, de Meaux J. Approximate Bayesian computation untangles signatures of contemporary and historical hybridization between two endangered species. Mol Biol Evol 2022; 39:6516021. [PMID: 35084503 PMCID: PMC8826969 DOI: 10.1093/molbev/msac015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Contemporary gene flow, when resumed after a period of isolation, can have crucial consequences for endangered species, as it can both increase the supply of adaptive alleles and erode local adaptation. Determining the history of gene flow and thus the importance of contemporary hybridization, however, is notoriously difficult. Here, we focus on two endangered plant species, Arabis nemorensis and A. sagittata, which hybridize naturally in a sympatric population located on the banks of the Rhine. Using reduced genome sequencing, we determined the phylogeography of the two taxa but report only a unique sympatric population. Molecular variation in chloroplast DNA indicated that A. sagittata is the principal receiver of gene flow. Applying classical D-statistics and its derivatives to whole-genome data of 35 accessions, we detect gene flow not only in the sympatric population but also among allopatric populations. Using an Approximate Bayesian computation approach, we identify the model that best describes the history of gene flow between these taxa. This model shows that low levels of gene flow have persisted long after speciation. Around 10 000 years ago, gene flow stopped and a period of complete isolation began. Eventually, a hotspot of contemporary hybridization was formed in the unique sympatric population. Occasional sympatry may have helped protect these lineages from extinction in spite of their extremely low diversity.
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Affiliation(s)
- Hannes Dittberner
- Institute of Plant Sciences,University of Cologne, Zülpicher str. 47b, Germany
| | - Aurelien Tellier
- Department of Life Science Systems, Technical University of Munich, Freising, Germany
| | - Juliette de Meaux
- Institute of Plant Sciences,University of Cologne, Zülpicher str. 47b, Germany
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34
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Hench K, Helmkampf M, McMillan WO, Puebla O. Rapid radiation in a highly diverse marine environment. Proc Natl Acad Sci U S A 2022; 119:e2020457119. [PMID: 35042790 PMCID: PMC8794831 DOI: 10.1073/pnas.2020457119] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 11/18/2021] [Indexed: 12/16/2022] Open
Abstract
Rapid diversification is often observed when founding species invade isolated or newly formed habitats that provide ecological opportunity for adaptive radiation. However, most of the Earth's diversity arose in diverse environments where ecological opportunities appear to be more constrained. Here, we present a striking example of a rapid radiation in a highly diverse marine habitat. The hamlets, a group of reef fishes from the wider Caribbean, have radiated into a stunning diversity of color patterns but show low divergence across other ecological axes. Although the hamlet lineage is ∼26 My old, the radiation appears to have occurred within the last 10,000 generations in a burst of diversification that ranks among the fastest in fishes. As such, the hamlets provide a compelling backdrop to uncover the genomic elements associated with phenotypic diversification and an excellent opportunity to build a broader comparative framework for understanding the drivers of adaptive radiation. The analysis of 170 genomes suggests that color pattern diversity is generated by different combinations of alleles at a few large-effect loci. Such a modular genomic architecture of diversification has been documented before in Heliconius butterflies, capuchino finches, and munia finches, three other tropical radiations that took place in highly diverse and complex environments. The hamlet radiation also occurred in a context of high effective population size, which is typical of marine populations. This allows for the accumulation of new variants through mutation and the retention of ancestral genetic variation, both of which appear to be important in this radiation.
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Affiliation(s)
- Kosmas Hench
- Ecology Department, Leibniz Centre for Tropical Marine Research, 28359 Bremen, Germany;
| | - Martin Helmkampf
- Ecology Department, Leibniz Centre for Tropical Marine Research, 28359 Bremen, Germany
| | - W Owen McMillan
- Smithsonian Tropical Research Institute, Apartado Postal 0843-03092, Republic of Panama
| | - Oscar Puebla
- Ecology Department, Leibniz Centre for Tropical Marine Research, 28359 Bremen, Germany;
- Smithsonian Tropical Research Institute, Apartado Postal 0843-03092, Republic of Panama
- Institute for Chemistry and Biology of the Marine Environment, 26111 Oldenburg, Germany
- Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, 24105 Kiel, Germany
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35
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Fine human genetic map based on UK10K data set. Hum Genet 2022; 141:273-281. [DOI: 10.1007/s00439-021-02415-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 12/03/2021] [Indexed: 11/04/2022]
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36
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The dopamine transporter gene SLC6A3: multidisease risks. Mol Psychiatry 2022; 27:1031-1046. [PMID: 34650206 PMCID: PMC9008071 DOI: 10.1038/s41380-021-01341-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/28/2021] [Accepted: 10/01/2021] [Indexed: 02/02/2023]
Abstract
The human dopamine transporter gene SLC6A3 has been consistently implicated in several neuropsychiatric diseases but the disease mechanism remains elusive. In this risk synthesis, we have concluded that SLC6A3 represents an increasingly recognized risk with a growing number of familial mutants associated with neuropsychiatric and neurological disorders. At least five loci were related to common and severe diseases including alcohol use disorder (high activity variant), attention-deficit/hyperactivity disorder (low activity variant), autism (familial proteins with mutated networking) and movement disorders (both regulatory variants and familial mutations). Association signals depended on genetic markers used as well as ethnicity examined. Strong haplotype selection and gene-wide epistases support multimarker assessment of functional variations and phenotype associations. Inclusion of its promoter region's functional markers such as DNPi (rs67175440) and 5'VNTR (rs70957367) may help delineate condensate-based risk action, testing a locus-pathway-phenotype hypothesis for one gene-multidisease etiology.
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37
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Ke F, Vasseur L, Yi H, Yang L, Wei X, Wang B, Kang M. Gene flow, linked selection, and divergent sorting of ancient polymorphism shape genomic divergence landscape in a group of edaphic specialists. Mol Ecol 2021; 31:104-118. [PMID: 34664755 DOI: 10.1111/mec.16226] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 10/07/2021] [Accepted: 10/11/2021] [Indexed: 12/24/2022]
Abstract
Interpreting the formation of genomic variation landscape, especially genomic regions with elevated differentiation (i.e. islands), is fundamental to a better understanding of the genomic consequences of adaptation and speciation. Edaphic islands provide excellent systems for understanding the interplay of gene flow and selection in driving population divergence and speciation. However, discerning the relative contribution of these factors that modify patterns of genomic variation remains difficult. We analysed 132 genomes from five recently divergent species in Primulina genus, with four species distributed in Karst limestone habitats and the fifth one growing in Danxia habitats. We demonstrated that both gene flow and linked selection have contributed to genome-wide variation landscape, where genomic regions with elevated differentiation (i.e., islands) were largely derived by divergent sorting of ancient polymorphism. Specifically, we identified several lineage-specific genomic islands that might have facilitated adaptation of P. suichuanensis to Danxia habitats. Our study is amongst the first cases disentangling evolutionary processes that shape genomic variation of plant specialists, and demonstrates the important role of ancient polymorphism in the formation of genomic islands that potentially mediate adaptation and speciation of endemic plants in special soil habitats.
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Affiliation(s)
- Fushi Ke
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Liette Vasseur
- Department of Biological Sciences, Brock University, St. Catharines, Ontario, Canada
| | - Huiqin Yi
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Lihua Yang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Xiao Wei
- Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and the Chinese Academy of Sciences, Guilin, China
| | - Baosheng Wang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, China
| | - Ming Kang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, China
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38
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Zhang D, Rheindt FE, She H, Cheng Y, Song G, Jia C, Qu Y, Alström P, Lei F. Most Genomic Loci Misrepresent the Phylogeny of an Avian Radiation Because of Ancient Gene Flow. Syst Biol 2021; 70:961-975. [PMID: 33787929 PMCID: PMC8357342 DOI: 10.1093/sysbio/syab024] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 03/24/2021] [Accepted: 03/29/2021] [Indexed: 12/11/2022] Open
Abstract
Phylogenetic trees based on genome-wide sequence data may not always represent the true evolutionary history for a variety of reasons. One process that can lead to incorrect reconstruction of species phylogenies is gene flow, especially if interspecific gene flow has affected large parts of the genome. We investigated phylogenetic relationships within a clade comprising eight species of passerine birds (Phylloscopidae, Phylloscopus, leaf warblers) using one de novo genome assembly and 78 resequenced genomes. On the basis of hypothesis-exclusion trials based on D-statistics, phylogenetic network analysis, and demographic inference analysis, we identified ancient gene flow affecting large parts of the genome between one species and the ancestral lineage of a sister species pair. This ancient gene flow consistently caused erroneous reconstruction of the phylogeny when using large amounts of genome-wide sequence data. In contrast, the true relationships were captured when smaller parts of the genome were analyzed, showing that the "winner-takes-all democratic majority tree" is not necessarily the true species tree. Under this condition, smaller amounts of data may sometimes avoid the effects of gene flow due to stochastic sampling, as hidden reticulation histories are more likely to emerge from the use of larger data sets, especially whole-genome data sets. In addition, we also found that genomic regions affected by ancient gene flow generally exhibited higher genomic differentiation but a lower recombination rate and nucleotide diversity. Our study highlights the importance of considering reticulation in phylogenetic reconstructions in the genomic era.[Bifurcation; introgression; recombination; reticulation; Phylloscopus.].
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Affiliation(s)
- Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Frank E Rheindt
- Department of Biological Sciences, National University of Singapore, Singapore 117543, Republic of Singapore
| | - Huishang She
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Yalin Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Gang Song
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chenxi Jia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Per Alström
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18 D, SE-752 36 Uppsala, Sweden
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
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39
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van Eeden G, Uren C, van der Spuy G, Tromp G, Möller M. Local ancestry inference in heterogeneous populations-Are recent recombination events more relevant? Brief Bioinform 2021; 22:6337894. [PMID: 34343255 DOI: 10.1093/bib/bbab300] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/29/2021] [Accepted: 07/14/2021] [Indexed: 12/11/2022] Open
Abstract
To date, numerous software tools have been developed to infer recombination maps. Many of these software tools infer the recombination rate from linkage disequilibrium, and therefore they infer recombination many generations into the past. Other recently developed methods rely on the inference of recent recombination events to determine the recombination rate, such as identity by descent- and local ancestry inference (LAI)-based tools. Methods that mainly use recent recombination events to infer the recombination rate might be more relevant for certain analyses like LAI. We therefore describe a protocol for creating high-resolution, population-specific recombination maps using methods that mainly use recent recombination events and a method that uses recent and distant recombination events for recombination rate inference. Subsequently, we compared the effect of using maps inferred by these two paradigms on LAI accuracy.
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Affiliation(s)
| | | | - Gian van der Spuy
- Department of Molecular Biology and Human Genetics, Stellenbosch University, South Africa
| | - Gerard Tromp
- South African Tuberculosis Bioinformatics Initiative (SATBBI), South Africa
| | - Marlo Möller
- Department of Molecular Biology and Human Genetics, Stellenbosch University, South Africa
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40
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Si S, Xu X, Zhuang Y, Gao X, Zhang H, Zou Z, Luo SJ. The genetics and evolution of eye color in domestic pigeons (Columba livia). PLoS Genet 2021; 17:e1009770. [PMID: 34460822 PMCID: PMC8432899 DOI: 10.1371/journal.pgen.1009770] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 09/10/2021] [Accepted: 08/10/2021] [Indexed: 11/18/2022] Open
Abstract
The eye color of birds, generally referring to the color of the iris, results from both pigmentation and structural coloration. Avian iris colors exhibit striking interspecific and intraspecific variations that correspond to unique evolutionary and ecological histories. Here, we identified the genetic basis of pearl (white) iris color in domestic pigeons (Columba livia) to explore the largely unknown genetic mechanism underlying the evolution of avian iris coloration. Using a genome-wide association study (GWAS) approach in 92 pigeons, we mapped the pearl iris trait to a 9 kb region containing the facilitative glucose transporter gene SLC2A11B. A nonsense mutation (W49X) leading to a premature stop codon in SLC2A11B was identified as the causal variant. Transcriptome analysis suggested that SLC2A11B loss of function may downregulate the xanthophore-differentiation gene CSF1R and the key pteridine biosynthesis gene GCH1, thus resulting in the pearl iris phenotype. Coalescence and phylogenetic analyses indicated that the mutation originated approximately 5,400 years ago, coinciding with the onset of pigeon domestication, while positive selection was likely associated with artificial breeding. Within Aves, potentially impaired SLC2A11B was found in six species from six distinct lineages, four of which associated with their signature brown or blue eyes and lack of pteridine. Analysis of vertebrate SLC2A11B orthologs revealed relaxed selection in the avian clade, consistent with the scenario that during and after avian divergence from the reptilian ancestor, the SLC2A11B-involved development of dermal chromatophores likely degenerated in the presence of feather coverage. Our findings provide new insight into the mechanism of avian iris color variations and the evolution of pigmentation in vertebrates.
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Affiliation(s)
- Si Si
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xiao Xu
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yan Zhuang
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xiaodong Gao
- College of Life Sciences, Qufu Normal University, Qufu, Shandong, China
| | - Honghai Zhang
- College of Life Sciences, Qufu Normal University, Qufu, Shandong, China
| | - Zhengting Zou
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Shu-Jin Luo
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
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41
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Bourgeois YXC, Warren BH. An overview of current population genomics methods for the analysis of whole-genome resequencing data in eukaryotes. Mol Ecol 2021; 30:6036-6071. [PMID: 34009688 DOI: 10.1111/mec.15989] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 04/26/2021] [Accepted: 05/11/2021] [Indexed: 01/01/2023]
Abstract
Characterizing the population history of a species and identifying loci underlying local adaptation is crucial in functional ecology, evolutionary biology, conservation and agronomy. The constant improvement of high-throughput sequencing techniques has facilitated the production of whole genome data in a wide range of species. Population genomics now provides tools to better integrate selection into a historical framework, and take into account selection when reconstructing demographic history. However, this improvement has come with a profusion of analytical tools that can confuse and discourage users. Such confusion limits the amount of information effectively retrieved from complex genomic data sets, and impairs the diffusion of the most recent analytical tools into fields such as conservation biology. It may also lead to redundancy among methods. To address these isssues, we propose an overview of more than 100 state-of-the-art methods that can deal with whole genome data. We summarize the strategies they use to infer demographic history and selection, and discuss some of their limitations. A website listing these methods is available at www.methodspopgen.com.
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Affiliation(s)
| | - Ben H Warren
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, UA, CP 51, Paris, France
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42
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Zhou H, Xia D, Zhao D, Li Y, Li P, Wu B, Gao G, Zhang Q, Wang G, Xiao J, Li X, Yu S, Lian X, He Y. The origin of Wx la provides new insights into the improvement of grain quality in rice. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2021; 63:878-888. [PMID: 32886450 PMCID: PMC8252478 DOI: 10.1111/jipb.13011] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 09/03/2020] [Indexed: 05/23/2023]
Abstract
Appearance and taste are important factors in rice (Oryza sativa) grain quality. Here, we investigated the taste scores and related eating-quality traits of 533 diverse cultivars to assess the relationships between-and genetic basis of-rice taste and eating-quality. A genome-wide association study highlighted the Wx gene as the major factor underlying variation in taste and eating quality. Notably, a novel waxy (Wx) allele, Wxla , which combined two mutations from Wxb and Wxin , exhibited a unique phenotype. Reduced GBSSI activity conferred Wxla rice with both a transparent appearance and good eating quality. Haplotype analysis revealed that Wxla was derived from intragenic recombination. In fact, the recombination rate at the Wx locus was estimated to be 3.34 kb/cM, which was about 75-fold higher than the genome-wide mean, indicating that intragenic recombination is a major force driving diversity at the Wx locus. Based on our results, we propose a new network for Wx evolution, noting that new Wx alleles could easily be generated by crossing genotypes with different Wx alleles. This study thus provides insights into the evolution of the Wx locus and facilitates molecular breeding for quality in rice.
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Affiliation(s)
- Hao Zhou
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Duo Xia
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Da Zhao
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Yanhua Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Pingbo Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Bian Wu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Guanjun Gao
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Qinglu Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Gongwei Wang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Jinghua Xiao
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Xianghua Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Sibin Yu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Xingming Lian
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan)Huazhong Agricultural UniversityWuhan 430070China
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43
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de Oliveira JL, Morales AC, Hurst LD, Urrutia AO, Thompson CRL, Wolf JB. Inferring Adaptive Codon Preference to Understand Sources of Selection Shaping Codon Usage Bias. Mol Biol Evol 2021; 38:3247-3266. [PMID: 33871580 PMCID: PMC8321536 DOI: 10.1093/molbev/msab099] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Alternative synonymous codons are often used at unequal frequencies. Classically, studies of such codon usage bias (CUB) attempted to separate the impact of neutral from selective forces by assuming that deviations from a predicted neutral equilibrium capture selection. However, GC-biased gene conversion (gBGC) can also cause deviation from a neutral null. Alternatively, selection has been inferred from CUB in highly expressed genes, but the accuracy of this approach has not been extensively tested, and gBGC can interfere with such extrapolations (e.g., if expression and gene conversion rates covary). It is therefore critical to examine deviations from a mutational null in a species with no gBGC. To achieve this goal, we implement such an analysis in the highly AT rich genome of Dictyostelium discoideum, where we find no evidence of gBGC. We infer neutral CUB under mutational equilibrium to quantify "adaptive codon preference," a nontautologous genome wide quantitative measure of the relative selection strength driving CUB. We observe signatures of purifying selection consistent with selection favoring adaptive codon preference. Preferred codons are not GC rich, underscoring the independence from gBGC. Expression-associated "preference" largely matches adaptive codon preference but does not wholly capture the influence of selection shaping patterns across all genes, suggesting selective constraints associated specifically with high expression. We observe patterns consistent with effects on mRNA translation and stability shaping adaptive codon preference. Thus, our approach to quantifying adaptive codon preference provides a framework for inferring the sources of selection that shape CUB across different contexts within the genome.
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Affiliation(s)
- Janaina Lima de Oliveira
- Instituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, 40170-115, Brazil.,Milner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Atahualpa Castillo Morales
- Milner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Laurence D Hurst
- Milner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Araxi O Urrutia
- Milner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.,Instituto de Ecologia, UNAM, Ciudad de Mexico 04510, Mexico
| | - Christopher R L Thompson
- Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, UK
| | - Jason B Wolf
- Milner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK
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44
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Ma F, Lau CY, Zheng C. Large genetic diversity and strong positive selection in F-box and GPCR genes among the wild isolates of Caenorhabditis elegans. Genome Biol Evol 2021; 13:6163285. [PMID: 33693740 PMCID: PMC8120010 DOI: 10.1093/gbe/evab048] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 02/17/2021] [Accepted: 03/03/2021] [Indexed: 01/05/2023] Open
Abstract
The F-box and chemosensory GPCR (csGPCR) gene families are greatly expanded in nematodes, including the model organism Caenorhabditis elegans, compared with insects and vertebrates. However, the intraspecific evolution of these two gene families in nematodes remain unexamined. In this study, we analyzed the genomic sequences of 330 recently sequenced wild isolates of C. elegans using a range of population genetics approaches. We found that F-box and csGPCR genes, especially the Srw family csGPCRs, showed much more diversity than other gene families. Population structure analysis and phylogenetic analysis divided the wild strains into eight non-Hawaiian and three Hawaiian subpopulations. Some Hawaiian strains appeared to be more ancestral than all other strains. F-box and csGPCR genes maintained a great amount of the ancestral variants in the Hawaiian subpopulation and their divergence among the non-Hawaiian subpopulations contributed significantly to population structure. F-box genes are mostly located at the chromosomal arms and high recombination rate correlates with their large polymorphism. Moreover, using both neutrality tests and extended haplotype homozygosity analysis, we identified signatures of strong positive selection in the F-box and csGPCR genes among the wild isolates, especially in the non-Hawaiian population. Accumulation of high-frequency-derived alleles in these genes was found in non-Hawaiian population, leading to divergence from the ancestral genotype. In summary, we found that F-box and csGPCR genes harbor a large pool of natural variants, which may be subjected to positive selection. These variants are mostly mapped to the substrate-recognition domains of F-box proteins and the extracellular and intracellular regions of csGPCRs, possibly resulting in advantages during adaptation by affecting protein degradation and the sensing of environmental cues, respectively.
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Affiliation(s)
- Fuqiang Ma
- School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Chun Yin Lau
- School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Chaogu Zheng
- School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
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45
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Xue AT, Schrider DR, Kern AD. Discovery of Ongoing Selective Sweeps within Anopheles Mosquito Populations Using Deep Learning. Mol Biol Evol 2021; 38:1168-1183. [PMID: 33022051 PMCID: PMC7947845 DOI: 10.1093/molbev/msaa259] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Identification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS/HIC, a deep learning method to discover selective sweeps from population genomic data. partialS/HIC uses a convolutional neural network for image processing, which is trained with a large suite of summary statistics derived from coalescent simulations incorporating population-specific history, to distinguish between completed versus partial sweeps, hard versus soft sweeps, and regions directly affected by selection versus those merely linked to nearby selective sweeps. We perform several simulation experiments under various demographic scenarios to demonstrate partialS/HIC's performance, which exhibits excellent resolution for detecting partial sweeps. We also apply our classifier to whole genomes from eight mosquito populations sampled across sub-Saharan Africa by the Anopheles gambiae 1000 Genomes Consortium, elucidating both continent-wide patterns as well as sweeps unique to specific geographic regions. These populations have experienced intense insecticide exposure over the past two decades, and we observe a strong overrepresentation of sweeps at insecticide resistance loci. Our analysis thus provides a list of candidate adaptive loci that may be relevant to mosquito control efforts. More broadly, our supervised machine learning approach introduces a method to distinguish between completed and partial sweeps, as well as between hard and soft sweeps, under a variety of demographic scenarios. As whole-genome data rapidly accumulate for a greater diversity of organisms, partialS/HIC addresses an increasing demand for useful selection scan tools that can track in-progress evolutionary dynamics.
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Affiliation(s)
- Alexander T Xue
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
| | - Daniel R Schrider
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Andrew D Kern
- Institute of Ecology and Evolution, 5289 University of Oregon, Eugene, OR
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46
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Wang Z, Jiang Y, Bi H, Lu Z, Ma Y, Yang X, Chen N, Tian B, Liu B, Mao X, Ma T, DiFazio SP, Hu Q, Abbott RJ, Liu J. Hybrid speciation via inheritance of alternate alleles of parental isolating genes. MOLECULAR PLANT 2021; 14:208-222. [PMID: 33220509 DOI: 10.1016/j.molp.2020.11.008] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/11/2020] [Accepted: 11/13/2020] [Indexed: 05/21/2023]
Abstract
It is increasingly realized that homoploid hybrid speciation (HHS), which involves no change in chromosome number, is an important mechanism of speciation. HHS will likely increase in frequency as ecological and geographical barriers between species are continuing to be disrupted by human activities. HHS requires the establishment of reproductive isolation between a hybrid and its parents, but the underlying genes and genetic mechanisms remain largely unknown. In this study, we reveal by integrated approaches that reproductive isolation originates in one homoploid hybrid plant species through the inheritance of alternate alleles at genes that determine parental premating isolation. The parent species of this hybrid species are reproductively isolated by differences in flowering time and survivorship on soils containing high concentrations of iron. We found that the hybrid species inherits alleles of parental isolating major genes related to flowering time from one parent and alleles of major genes related to iron tolerance from the other parent. In this way, it became reproductively isolated from one parent by the difference in flowering time and from the other by habitat adaptation (iron tolerance). These findings and further modeling results suggest that HHS may occur relatively easily via the inheritance of alternate parental premating isolating genes and barriers.
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Affiliation(s)
- Zefu Wang
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Yuanzhong Jiang
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Hao Bi
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Zhiqiang Lu
- State Key Laboratory of Grassland Agro-Ecosystem, Innovation Institute of Ecology and Life Sciences, Lanzhou University, Lanzhou 730000, China; CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China
| | - Yazhen Ma
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Xiaoyue Yang
- State Key Laboratory of Grassland Agro-Ecosystem, Innovation Institute of Ecology and Life Sciences, Lanzhou University, Lanzhou 730000, China
| | - Ningning Chen
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Bin Tian
- State Key Laboratory of Grassland Agro-Ecosystem, Innovation Institute of Ecology and Life Sciences, Lanzhou University, Lanzhou 730000, China; Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry and Grassland Administration, Southwest Forestry University, Kunming 650224, China
| | - Bingbing Liu
- Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China
| | - Xingxing Mao
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Tao Ma
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China
| | - Stephen P DiFazio
- Department of Biology, West Virginia University, Morgantown, WV 25606, USA
| | - Quanjun Hu
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China.
| | - Richard J Abbott
- School of Biology, University of St Andrews, St Andrews KY16 9TH, UK.
| | - Jianquan Liu
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences & State Key Lab of Hydraulics & Mountain River Engineering, Sichuan University, Chengdu 610065, China; State Key Laboratory of Grassland Agro-Ecosystem, Innovation Institute of Ecology and Life Sciences, Lanzhou University, Lanzhou 730000, China.
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47
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Huang Y, Li Y, Wang X, Yu J, Cai Y, Zheng Z, Li R, Zhang S, Chen N, Asadollahpour Nanaei H, Hanif Q, Chen Q, Fu W, Li C, Cao X, Zhou G, Liu S, He S, Li W, Chen Y, Chen H, Lei C, Liu M, Jiang Y. An atlas of CNV maps in cattle, goat and sheep. SCIENCE CHINA-LIFE SCIENCES 2021; 64:1747-1764. [PMID: 33486588 DOI: 10.1007/s11427-020-1850-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 11/16/2020] [Indexed: 11/26/2022]
Abstract
Copy number variation (CNV) is the most prevalent type of genetic structural variation that has been recognized as an important source of phenotypic variation in humans, animals and plants. However, the mechanisms underlying the evolution of CNVs and their function in natural or artificial selection remain unknown. Here, we generated CNV region (CNVR) datasets which were diverged or shared among cattle, goat, and sheep, including 886 individuals from 171 diverse populations. Using 9 environmental factors for genome-wide association study (GWAS), we identified a series of candidate CNVRs, including genes relating to immunity, tick resistance, multi-drug resistance, and muscle development. The number of CNVRs shared between species is significantly higher than expected (P<0.00001), and these CNVRs may be more persist than the single nucleotide polymorphisms (SNPs) shared between species. We also identified genomic regions under long-term balancing selection and uncovered the potential diversity of the selected CNVRs close to the important functional genes. This study provides the evidence that balancing selection might be more common in mammals than previously considered, and might play an important role in the daily activities of these ruminant species.
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Affiliation(s)
- Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yunjia Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xihong Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jiantao Yu
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Yudong Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Zhuqing Zheng
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ran Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shunjin Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ningbo Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | | | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Punjab, 577, Pakistan
- Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, 45650, Islamabad, Pakistan
| | - Qiuming Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Weiwei Fu
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chao Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiukai Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Guangxian Zhou
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shudong Liu
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Sangang He
- Key Laboratory of Genetics Breeding and Reproduction of Grass feeding Livestock, Ministry of Agriculture, Biotechnology Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, 830026, China
| | - Wenrong Li
- Key Laboratory of Genetics Breeding and Reproduction of Grass feeding Livestock, Ministry of Agriculture, Biotechnology Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, 830026, China
| | - Yulin Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Mingjun Liu
- Key Laboratory of Genetics Breeding and Reproduction of Grass feeding Livestock, Ministry of Agriculture, Biotechnology Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, 830026, China
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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48
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van Eeden G, Uren C, Möller M, Henn BM. Inferring recombination patterns in African populations. Hum Mol Genet 2021; 30:R11-R16. [PMID: 33445180 DOI: 10.1093/hmg/ddab020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 11/14/2022] Open
Abstract
Although several high-resolution recombination maps exist for European-descent populations, the recombination landscape of African populations remains relatively understudied. Given that there is high genetic divergence among groups in Africa, it is possible that recombination hotspots also diverge significantly. Both limitations and opportunities exist for developing recombination maps for these populations. In this review, we discuss various recombination inference methods, and the strengths and weaknesses of these methods in analyzing recombination in African-descent populations. Furthermore, we provide a decision tree and recommendations for which inference method to use in various research contexts. Establishing an appropriate methodology for recombination rate inference in a particular study will improve the accuracy of various downstream analyses including but not limited to local ancestry inference, haplotype phasing, fine-mapping of GWAS loci and genome assemblies.
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Affiliation(s)
- Gerald van Eeden
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa
| | - Caitlin Uren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch 7602, South Africa
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch 7602, South Africa
| | - Brenna M Henn
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California Davis, Davis, CA 95616, USA
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49
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Kim MS, Lozano R, Kim JH, Bae DN, Kim ST, Park JH, Choi MS, Kim J, Ok HC, Park SK, Gore MA, Moon JK, Jeong SC. The patterns of deleterious mutations during the domestication of soybean. Nat Commun 2021; 12:97. [PMID: 33397978 PMCID: PMC7782591 DOI: 10.1038/s41467-020-20337-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 11/25/2020] [Indexed: 01/29/2023] Open
Abstract
Globally, soybean is a major protein and oil crop. Enhancing our understanding of the soybean domestication and improvement process helps boost genomics-assisted breeding efforts. Here we present a genome-wide variation map of 10.6 million single-nucleotide polymorphisms and 1.4 million indels for 781 soybean individuals which includes 418 domesticated (Glycine max), 345 wild (Glycine soja), and 18 natural hybrid (G. max/G. soja) accessions. We describe the enhanced detection of 183 domestication-selective sweeps and the patterns of putative deleterious mutations during domestication and improvement. This predominantly selfing species shows 7.1% reduction of overall deleterious mutations in domesticated soybean relative to wild soybean and a further 1.4% reduction from landrace to improved accessions. The detected domestication-selective sweeps also show reduced levels of deleterious alleles. Importantly, genotype imputation with this resource increases the mapping resolution of genome-wide association studies for seed protein and oil traits in a soybean diversity panel.
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Affiliation(s)
- Myung-Shin Kim
- Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Chungbuk, 28116, Korea
- Plant Immunity Research Center, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Korea
| | - Roberto Lozano
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Ji Hong Kim
- Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Chungbuk, 28116, Korea
| | - Dong Nyuk Bae
- Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Chungbuk, 28116, Korea
| | - Sang-Tae Kim
- Department of Life Science, The Catholic University of Korea, Bucheon, 14662, Korea
| | - Jung-Ho Park
- Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Chungbuk, 28116, Korea
| | - Man Soo Choi
- National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk, 55365, Korea
| | - Jaehyun Kim
- National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk, 55365, Korea
| | - Hyun-Choong Ok
- National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk, 55365, Korea
| | - Soo-Kwon Park
- National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk, 55365, Korea
| | - Michael A Gore
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Jung-Kyung Moon
- National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk, 55365, Korea.
- Agricultural Genome Center, National Academy of Agricultural Sciences, Rural Development Administration, Jeonju, Jeonbuk, 55365, Korea.
| | - Soon-Chun Jeong
- Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Chungbuk, 28116, Korea.
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50
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Lozano R, Gazave E, Dos Santos JPR, Stetter MG, Valluru R, Bandillo N, Fernandes SB, Brown PJ, Shakoor N, Mockler TC, Cooper EA, Taylor Perkins M, Buckler ES, Ross-Ibarra J, Gore MA. Comparative evolutionary genetics of deleterious load in sorghum and maize. NATURE PLANTS 2021; 7:17-24. [PMID: 33452486 DOI: 10.1038/s41477-020-00834-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/09/2020] [Indexed: 06/12/2023]
Abstract
Sorghum and maize share a close evolutionary history that can be explored through comparative genomics1,2. To perform a large-scale comparison of the genomic variation between these two species, we analysed ~13 million variants identified from whole-genome resequencing of 499 sorghum lines together with 25 million variants previously identified in 1,218 maize lines. Deleterious mutations in both species were prevalent in pericentromeric regions, enriched in non-syntenic genes and present at low allele frequencies. A comparison of deleterious burden between sorghum and maize revealed that sorghum, in contrast to maize, departed from the domestication-cost hypothesis that predicts a higher deleterious burden among domesticates compared with wild lines. Additionally, sorghum and maize population genetic summary statistics were used to predict a gene deleterious index with an accuracy greater than 0.5. This research represents a key step towards understanding the evolutionary dynamics of deleterious variants in sorghum and provides a comparative genomics framework to start prioritizing these variants for removal through genome editing and breeding.
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Affiliation(s)
- Roberto Lozano
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
| | - Elodie Gazave
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
- Institute of Biotechnology, Cornell University, Ithaca, NY, USA
| | - Jhonathan P R Dos Santos
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
- Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Markus G Stetter
- Botanical Institute, Biozentrum, University of Cologne, Cologne, Germany
| | - Ravi Valluru
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA
- University of Lincoln, Lincoln, UK
| | - Nonoy Bandillo
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA
- Department of Plant Sciences, North Dakota State University, Fargo, ND, USA
| | - Samuel B Fernandes
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Patrick J Brown
- Department of Plant Sciences, University of California Davis, Davis, CA, USA
| | - Nadia Shakoor
- Donald Danforth Plant Science Center, St. Louis, MO, USA
| | - Todd C Mockler
- Donald Danforth Plant Science Center, St. Louis, MO, USA
| | - Elizabeth A Cooper
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - M Taylor Perkins
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
| | - Edward S Buckler
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA
- United States Department of Agriculture, Agricultural Research Service (USDA-ARS) R. W. Holley Center for Agriculture and Health, Ithaca, NY, USA
| | - Jeffrey Ross-Ibarra
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA.
- Center for Population Biology and Genome Center, University of California Davis, Davis, CA, USA.
| | - Michael A Gore
- Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
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