Kira E Delmore, Benjamin M Van Doren, Kristian Ullrich, Teja Curk, Henk P van der Jeugd, Miriam Liedvogel
{"title":"Structural genomic variation and migratory behavior in a wild songbird","authors":"Kira E Delmore, Benjamin M Van Doren, Kristian Ullrich, Teja Curk, Henk P van der Jeugd, Miriam Liedvogel","doi":"10.1093/evlett/qrad040","DOIUrl":null,"url":null,"abstract":"Abstract Structural variants (SVs) are a major source of genetic variation; and descriptions in natural populations and connections with phenotypic traits are beginning to accumulate in the literature. We integrated advances in genomic sequencing and animal tracking to begin filling this knowledge gap in the Eurasian blackcap. Specifically, we (a) characterized the genome-wide distribution, frequency, and overall fitness effects of SVs using haplotype-resolved assemblies for 79 birds, and (b) used these SVs to study the genetics of seasonal migration. We detected >15 K SVs. Many SVs overlapped repetitive regions and exhibited evidence of purifying selection suggesting they have overall deleterious effects on fitness. We used estimates of genomic differentiation to identify SVs exhibiting evidence of selection in blackcaps with different migratory strategies. Insertions and deletions dominated the SVs we identified and were associated with genes that are either directly (e.g., regulatory motifs that maintain circadian rhythms) or indirectly (e.g., through immune response) related to migration. We also broke migration down into individual traits (direction, distance, and timing) using existing tracking data and tested if genetic variation at the SVs we identified could account for phenotypic variation at these traits. This was only the case for 1 trait—direction—and 1 specific SV (a deletion on chromosome 27) accounted for much of this variation. Our results highlight the evolutionary importance of SVs in natural populations and provide insight into the genetic basis of seasonal migration.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/evlett/qrad040","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract Structural variants (SVs) are a major source of genetic variation; and descriptions in natural populations and connections with phenotypic traits are beginning to accumulate in the literature. We integrated advances in genomic sequencing and animal tracking to begin filling this knowledge gap in the Eurasian blackcap. Specifically, we (a) characterized the genome-wide distribution, frequency, and overall fitness effects of SVs using haplotype-resolved assemblies for 79 birds, and (b) used these SVs to study the genetics of seasonal migration. We detected >15 K SVs. Many SVs overlapped repetitive regions and exhibited evidence of purifying selection suggesting they have overall deleterious effects on fitness. We used estimates of genomic differentiation to identify SVs exhibiting evidence of selection in blackcaps with different migratory strategies. Insertions and deletions dominated the SVs we identified and were associated with genes that are either directly (e.g., regulatory motifs that maintain circadian rhythms) or indirectly (e.g., through immune response) related to migration. We also broke migration down into individual traits (direction, distance, and timing) using existing tracking data and tested if genetic variation at the SVs we identified could account for phenotypic variation at these traits. This was only the case for 1 trait—direction—and 1 specific SV (a deletion on chromosome 27) accounted for much of this variation. Our results highlight the evolutionary importance of SVs in natural populations and provide insight into the genetic basis of seasonal migration.
结构变异是遗传变异的主要来源。自然种群的描述和与表型性状的联系开始在文献中积累。我们整合了基因组测序和动物追踪方面的进展,开始填补欧亚黑帽的这一知识空白。具体来说,我们(a)利用79只鸟类的单倍型解析组合,表征了sv的全基因组分布、频率和总体适应度效应,(b)利用这些sv研究了季节性迁徙的遗传学。我们检测到15 K sv。许多sv重叠重复区域,并显示出净化选择的证据,表明它们对适应性有总体有害影响。我们使用基因组分化估计来鉴定具有不同迁移策略的黑头莺中表现出选择证据的SVs。我们发现的sv主要以插入和缺失为主,并且与直接(例如,维持昼夜节律的调控基序)或间接(例如,通过免疫反应)与迁移相关的基因相关。我们还利用现有的跟踪数据将迁移分解为个体特征(方向、距离和时间),并测试我们确定的sv的遗传变异是否可以解释这些特征的表型变异。这只是1个性状方向的情况,1个特定的SV(27号染色体上的缺失)占了这种变异的大部分。我们的研究结果强调了sv在自然种群中的进化重要性,并为季节性迁徙的遗传基础提供了见解。