Pan‐genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees
The Asian honeybee, Apis cerana, is an ecologically and economically important pollinator. Mapping its genetic variation is key to understanding population‐level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucle...
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creator | Li, Yancan Yao, Jun Sang, Huiling Wang, Quangui Su, Long Zhao, Xiaomeng Xia, Zhenyu Wang, Feiran Wang, Kai Lou, Delong Wang, Guizhi Waterhouse, Robert M. Wang, Huihua Luo, Shudong Sun, Cheng |
description | The Asian honeybee, Apis cerana, is an ecologically and economically important pollinator. Mapping its genetic variation is key to understanding population‐level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucleotide polymorphisms (SNPs) based on a single reference genome, thereby ignoring larger scale genomic variation. We employed long‐read sequencing technologies to generate a chromosome‐scale reference genome for the ancestral group of A. cerana. Integrating this with 525 resequencing data sets, we constructed the first pan‐genome of A. cerana, encompassing almost the entire gene content. We found that 31.32% of genes in the pan‐genome were variably present across populations, providing a broad gene pool for environmental adaptation. We identified and characterized structural variations (SVs) and found that they were not closely linked with SNP distributions; however, the formation of SVs was closely associated with transposable elements. Furthermore, phylogenetic analysis using SVs revealed a novel A. cerana ecological group not recoverable from the SNP data. Performing environmental association analysis identified a total of 44 SVs likely to be associated with environmental adaptation. Verification and analysis of one of these, a 330 bp deletion in the Atpalpha gene, indicated that this SV may promote the cold adaptation of A. cerana by altering gene expression. Taken together, our study demonstrates the feasibility and utility of applying pan‐genome approaches to map and explore genetic feature variations of honeybee populations, and in particular to examine the role of SVs in the evolution and environmental adaptation of A. cerana. |
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Mapping its genetic variation is key to understanding population‐level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucleotide polymorphisms (SNPs) based on a single reference genome, thereby ignoring larger scale genomic variation. We employed long‐read sequencing technologies to generate a chromosome‐scale reference genome for the ancestral group of A. cerana. Integrating this with 525 resequencing data sets, we constructed the first pan‐genome of A. cerana, encompassing almost the entire gene content. We found that 31.32% of genes in the pan‐genome were variably present across populations, providing a broad gene pool for environmental adaptation. We identified and characterized structural variations (SVs) and found that they were not closely linked with SNP distributions; however, the formation of SVs was closely associated with transposable elements. Furthermore, phylogenetic analysis using SVs revealed a novel A. cerana ecological group not recoverable from the SNP data. Performing environmental association analysis identified a total of 44 SVs likely to be associated with environmental adaptation. Verification and analysis of one of these, a 330 bp deletion in the Atpalpha gene, indicated that this SV may promote the cold adaptation of A. cerana by altering gene expression. Taken together, our study demonstrates the feasibility and utility of applying pan‐genome approaches to map and explore genetic feature variations of honeybee populations, and in particular to examine the role of SVs in the evolution and environmental adaptation of A. cerana.</description><identifier>ISSN: 1755-098X</identifier><identifier>EISSN: 1755-0998</identifier><identifier>DOI: 10.1111/1755-0998.13905</identifier><identifier>PMID: 37996991</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adaptation ; Apis cerana ; Association analysis ; Bees ; Chromosomes ; Economic importance ; Environmental changes ; Environmental organizations ; Evolution ; Feasibility studies ; Gene deletion ; Gene expression ; Gene mapping ; Gene pool ; Genetic diversity ; genome environment association analyses ; Genomes ; Nucleotides ; pan‐genome ; Phylogeny ; Pollinators ; Populations ; presence/absence variation ; Single-nucleotide polymorphism ; structural variation</subject><ispartof>Molecular ecology resources, 2024-02, Vol.24 (2), p.e13905-n/a</ispartof><rights>2023 John Wiley & Sons Ltd.</rights><rights>Copyright © 2024 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3715-5fffc1477a36220c2dbf9a10a222fe1684ed9d8e942981d334bb02ba4f84f8ad3</citedby><cites>FETCH-LOGICAL-c3715-5fffc1477a36220c2dbf9a10a222fe1684ed9d8e942981d334bb02ba4f84f8ad3</cites><orcidid>0009-0004-5099-7563 ; 0000-0002-9250-8754</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1755-0998.13905$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1755-0998.13905$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37996991$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Yancan</creatorcontrib><creatorcontrib>Yao, Jun</creatorcontrib><creatorcontrib>Sang, Huiling</creatorcontrib><creatorcontrib>Wang, Quangui</creatorcontrib><creatorcontrib>Su, Long</creatorcontrib><creatorcontrib>Zhao, Xiaomeng</creatorcontrib><creatorcontrib>Xia, Zhenyu</creatorcontrib><creatorcontrib>Wang, Feiran</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Lou, Delong</creatorcontrib><creatorcontrib>Wang, Guizhi</creatorcontrib><creatorcontrib>Waterhouse, Robert M.</creatorcontrib><creatorcontrib>Wang, Huihua</creatorcontrib><creatorcontrib>Luo, Shudong</creatorcontrib><creatorcontrib>Sun, Cheng</creatorcontrib><title>Pan‐genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees</title><title>Molecular ecology resources</title><addtitle>Mol Ecol Resour</addtitle><description>The Asian honeybee, Apis cerana, is an ecologically and economically important pollinator. Mapping its genetic variation is key to understanding population‐level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucleotide polymorphisms (SNPs) based on a single reference genome, thereby ignoring larger scale genomic variation. We employed long‐read sequencing technologies to generate a chromosome‐scale reference genome for the ancestral group of A. cerana. Integrating this with 525 resequencing data sets, we constructed the first pan‐genome of A. cerana, encompassing almost the entire gene content. We found that 31.32% of genes in the pan‐genome were variably present across populations, providing a broad gene pool for environmental adaptation. We identified and characterized structural variations (SVs) and found that they were not closely linked with SNP distributions; however, the formation of SVs was closely associated with transposable elements. Furthermore, phylogenetic analysis using SVs revealed a novel A. cerana ecological group not recoverable from the SNP data. Performing environmental association analysis identified a total of 44 SVs likely to be associated with environmental adaptation. Verification and analysis of one of these, a 330 bp deletion in the Atpalpha gene, indicated that this SV may promote the cold adaptation of A. cerana by altering gene expression. Taken together, our study demonstrates the feasibility and utility of applying pan‐genome approaches to map and explore genetic feature variations of honeybee populations, and in particular to examine the role of SVs in the evolution and environmental adaptation of A. cerana.</description><subject>Adaptation</subject><subject>Apis cerana</subject><subject>Association analysis</subject><subject>Bees</subject><subject>Chromosomes</subject><subject>Economic importance</subject><subject>Environmental changes</subject><subject>Environmental organizations</subject><subject>Evolution</subject><subject>Feasibility studies</subject><subject>Gene deletion</subject><subject>Gene expression</subject><subject>Gene mapping</subject><subject>Gene pool</subject><subject>Genetic diversity</subject><subject>genome environment association analyses</subject><subject>Genomes</subject><subject>Nucleotides</subject><subject>pan‐genome</subject><subject>Phylogeny</subject><subject>Pollinators</subject><subject>Populations</subject><subject>presence/absence variation</subject><subject>Single-nucleotide polymorphism</subject><subject>structural variation</subject><issn>1755-098X</issn><issn>1755-0998</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkbtuFDEUhi1ERMJCTYcs0dBs4svcXEZRCEghoQCJzjozc5x15LEXe2bRdihPwDPyJHh3whY0sY59rKPPX-GfkDecnfK8znhdlkumVHPKpWLlM3JymDw_3Jvvx-RlSveMVUzVxQtyLGulKqX4CXn4Av7Pr9936MOAFDy4bbKJruzdyuU9JjqukMbgkAZD0xinbpwiOLqBaGG0wVPr9wxugpv2A_A9Rb-xMfgB_Zhh6GE9znS2nCcLnq6Cx22LmF6RIwMu4evHviDfPlx-vfi4vL69-nRxfr3sZM3LZWmM6XhR1yArIVgn-tYo4AyEEAZ51RTYq75BVQjV8F7Kom2ZaKEwTS7o5YK8n73rGH5MmEY92NShc-AxTEmLRslGFlU-FuTdf-h9mGL-nEwpLlldM6kydTZTXQwpRTR6He0Acas507t49C4AvQtD7-PJL94-eqd2wP7A_8sjA-UM_LQOt0_59OfLm1n8F7HinTY</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Li, Yancan</creator><creator>Yao, Jun</creator><creator>Sang, Huiling</creator><creator>Wang, Quangui</creator><creator>Su, Long</creator><creator>Zhao, Xiaomeng</creator><creator>Xia, Zhenyu</creator><creator>Wang, Feiran</creator><creator>Wang, Kai</creator><creator>Lou, Delong</creator><creator>Wang, Guizhi</creator><creator>Waterhouse, Robert M.</creator><creator>Wang, Huihua</creator><creator>Luo, Shudong</creator><creator>Sun, Cheng</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0004-5099-7563</orcidid><orcidid>https://orcid.org/0000-0002-9250-8754</orcidid></search><sort><creationdate>202402</creationdate><title>Pan‐genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees</title><author>Li, Yancan ; Yao, Jun ; Sang, Huiling ; Wang, Quangui ; Su, Long ; Zhao, Xiaomeng ; Xia, Zhenyu ; Wang, Feiran ; Wang, Kai ; Lou, Delong ; Wang, Guizhi ; Waterhouse, Robert M. ; Wang, Huihua ; Luo, Shudong ; Sun, Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3715-5fffc1477a36220c2dbf9a10a222fe1684ed9d8e942981d334bb02ba4f84f8ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adaptation</topic><topic>Apis cerana</topic><topic>Association analysis</topic><topic>Bees</topic><topic>Chromosomes</topic><topic>Economic importance</topic><topic>Environmental changes</topic><topic>Environmental organizations</topic><topic>Evolution</topic><topic>Feasibility studies</topic><topic>Gene deletion</topic><topic>Gene expression</topic><topic>Gene mapping</topic><topic>Gene pool</topic><topic>Genetic diversity</topic><topic>genome environment association analyses</topic><topic>Genomes</topic><topic>Nucleotides</topic><topic>pan‐genome</topic><topic>Phylogeny</topic><topic>Pollinators</topic><topic>Populations</topic><topic>presence/absence variation</topic><topic>Single-nucleotide polymorphism</topic><topic>structural variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yancan</creatorcontrib><creatorcontrib>Yao, Jun</creatorcontrib><creatorcontrib>Sang, Huiling</creatorcontrib><creatorcontrib>Wang, Quangui</creatorcontrib><creatorcontrib>Su, Long</creatorcontrib><creatorcontrib>Zhao, Xiaomeng</creatorcontrib><creatorcontrib>Xia, Zhenyu</creatorcontrib><creatorcontrib>Wang, Feiran</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Lou, Delong</creatorcontrib><creatorcontrib>Wang, Guizhi</creatorcontrib><creatorcontrib>Waterhouse, Robert M.</creatorcontrib><creatorcontrib>Wang, Huihua</creatorcontrib><creatorcontrib>Luo, Shudong</creatorcontrib><creatorcontrib>Sun, Cheng</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular ecology resources</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yancan</au><au>Yao, Jun</au><au>Sang, Huiling</au><au>Wang, Quangui</au><au>Su, Long</au><au>Zhao, Xiaomeng</au><au>Xia, Zhenyu</au><au>Wang, Feiran</au><au>Wang, Kai</au><au>Lou, Delong</au><au>Wang, Guizhi</au><au>Waterhouse, Robert M.</au><au>Wang, Huihua</au><au>Luo, Shudong</au><au>Sun, Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pan‐genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees</atitle><jtitle>Molecular ecology resources</jtitle><addtitle>Mol Ecol Resour</addtitle><date>2024-02</date><risdate>2024</risdate><volume>24</volume><issue>2</issue><spage>e13905</spage><epage>n/a</epage><pages>e13905-n/a</pages><issn>1755-098X</issn><eissn>1755-0998</eissn><abstract>The Asian honeybee, Apis cerana, is an ecologically and economically important pollinator. Mapping its genetic variation is key to understanding population‐level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucleotide polymorphisms (SNPs) based on a single reference genome, thereby ignoring larger scale genomic variation. We employed long‐read sequencing technologies to generate a chromosome‐scale reference genome for the ancestral group of A. cerana. Integrating this with 525 resequencing data sets, we constructed the first pan‐genome of A. cerana, encompassing almost the entire gene content. We found that 31.32% of genes in the pan‐genome were variably present across populations, providing a broad gene pool for environmental adaptation. We identified and characterized structural variations (SVs) and found that they were not closely linked with SNP distributions; however, the formation of SVs was closely associated with transposable elements. Furthermore, phylogenetic analysis using SVs revealed a novel A. cerana ecological group not recoverable from the SNP data. Performing environmental association analysis identified a total of 44 SVs likely to be associated with environmental adaptation. Verification and analysis of one of these, a 330 bp deletion in the Atpalpha gene, indicated that this SV may promote the cold adaptation of A. cerana by altering gene expression. Taken together, our study demonstrates the feasibility and utility of applying pan‐genome approaches to map and explore genetic feature variations of honeybee populations, and in particular to examine the role of SVs in the evolution and environmental adaptation of A. cerana.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37996991</pmid><doi>10.1111/1755-0998.13905</doi><tpages>14</tpages><orcidid>https://orcid.org/0009-0004-5099-7563</orcidid><orcidid>https://orcid.org/0000-0002-9250-8754</orcidid></addata></record> |
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subjects | Adaptation Apis cerana Association analysis Bees Chromosomes Economic importance Environmental changes Environmental organizations Evolution Feasibility studies Gene deletion Gene expression Gene mapping Gene pool Genetic diversity genome environment association analyses Genomes Nucleotides pan‐genome Phylogeny Pollinators Populations presence/absence variation Single-nucleotide polymorphism structural variation |
title | Pan‐genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees |
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