Literature DB >> 31325366

Lack of gene flow: Narrow and dispersed differentiation islands in a triplet of Leptidea butterfly species.

Venkat Talla1, Anna Johansson2, Vlad Dincă3, Roger Vila4, Magne Friberg5, Christer Wiklund6, Niclas Backström1.   

Abstract

Genome scans in recently separated species can inform on molecular mechanisms and evolutionary processes driving divergence. Large-scale polymorphism data from multiple species pairs are also key to investigate the repeatability of divergence-whether radiations tend to show parallel responses to similar selection pressures and/or underlying molecular forces. Here, we used whole-genome resequencing data from six wood white (Leptidea sp.) butterfly populations, representing three closely related species with karyomorph variation, to infer the species' demographic history and characterize patterns of genomic diversity and differentiation. The analyses supported previously established species relationships, and there was no evidence for postdivergence gene flow. We identified significant intraspecific genetic structure, in particular between karyomorph extremes in the wood white (L. sinapis)-a species with a remarkable chromosome number cline across the distribution range. The genomic landscapes of differentiation were erratic, and outlier regions were narrow and dispersed. Highly differentiated (FST ) regions generally had low genetic diversity (θπ ), but increased absolute divergence (DXY ) and excess of rare frequency variants (low Tajima's D). A minority of differentiation peaks were shared across species and population comparisons. However, highly differentiated regions contained genes with overrepresented functions related to metabolism, response to stimulus and cellular processes, indicating recurrent directional selection on a specific set of traits in all comparisons. In contrast to the majority of genome scans in recently diverged lineages, our data suggest that divergence landscapes in Leptidea have been shaped by directional selection and genetic drift rather than stable recombination landscapes and/or introgression.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Leptideazzm321990; Lepidoptera; cryptic species; genome scan; speciation; wood white butterflies

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Substances:

Year:  2019        PMID: 31325366     DOI: 10.1111/mec.15188

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  5 in total

1.  Genomic evidence for gene flow between monarchs with divergent migratory phenotypes and flight performance.

Authors:  Venkat Talla; Amanda A Pierce; Kandis L Adams; Tom J B de Man; Sumitha Nallu; Francis X Villablanca; Marcus R Kronforst; Jacobus C de Roode
Journal:  Mol Ecol       Date:  2020-07-11       Impact factor: 6.185

2.  Evolution of multiple sex-chromosomes associated with dynamic genome reshuffling in Leptidea wood-white butterflies.

Authors:  Atsuo Yoshido; Jindra Šíchová; Kristýna Pospíšilová; Petr Nguyen; Anna Voleníková; Jan Šafář; Jan Provazník; Roger Vila; František Marec
Journal:  Heredity (Edinb)       Date:  2020-06-09       Impact factor: 3.821

3.  Dissecting the Effects of Selection and Mutation on Genetic Diversity in Three Wood White (Leptidea) Butterfly Species.

Authors:  Venkat Talla; Lucile Soler; Takeshi Kawakami; Vlad Dincă; Roger Vila; Magne Friberg; Christer Wiklund; Niclas Backström
Journal:  Genome Biol Evol       Date:  2019-10-01       Impact factor: 3.416

4.  Incomplete Sterility of Chromosomal Hybrids: Implications for Karyotype Evolution and Homoploid Hybrid Speciation.

Authors:  Vladimir A Lukhtanov; Vlad Dincă; Magne Friberg; Roger Vila; Christer Wiklund
Journal:  Front Genet       Date:  2020-10-15       Impact factor: 4.599

5.  Host plant diet affects growth and induces altered gene expression and microbiome composition in the wood white (Leptidea sinapis) butterfly.

Authors:  Karin Näsvall; Christer Wiklund; Veronika Mrazek; Axel Künstner; Venkat Talla; Hauke Busch; Roger Vila; Niclas Backström
Journal:  Mol Ecol       Date:  2020-12-14       Impact factor: 6.622

  5 in total

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