Patterns of speciation in a parapatric pair ofSaturniamoths as revealed by Target Capture

Author:

Khan MariaORCID,Joshi MuktaORCID,Espeland MarianneORCID,Huemer PeterORCID,Vaamonde Carlos LopezORCID,Mutanen MarkoORCID

Abstract

AbstractThe focus of this study is to understand the evolutionary relationships and taxonomy of widely distributed parapatric species pair of wild silk moths,Saturnia pavoniaandSaturnia pavoniella(Lepidoptera: Saturniidae) in Europe. To address species delimitation challenges associated with many parapatric taxa, target enrichment and mtDNA sequencing was employed alongside phylogenetic, species delimitation, admixture and introgression analyses. The dataset included individuals from both species, two hybrids generated in the lab, as well as individuals from outside the contact zone. Nuclear markers strongly supported bothS. pavoniaandS. pavoniellaas two distinct species, with the hybrids grouping together as intermediate and separate from both species. However, the maximum likelihood (ML) tree generated from mtDNA sequencing data presented a different picture, showing both taxa to be phylogenetically intermixed. This inconsistency may be attributed to mitonuclear discordance, which can arise from biological factors (e.g., introgressive hybridization or incomplete lineage sorting) or alternatively operational factors (e.g., incorrect species delimitation). We further provide the evidence of past introgression to have taken place, but no evidence of current admixture between the two species. Finally, we discuss our results from evolutionary point of view taking into consideration the past climatic oscillations that has likely shaped the present dynamics between the species. Overall, this study demonstrated the effectiveness of the target enrichment approach in resolving the phylogenetic relationships between closely related parapatric species and providing insights into their taxonomic delimitation.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3