Proteomic similarity of the Littorinid snails in the evolutionary context

Author:

Maltseva Arina L.1ORCID,Varfolomeeva Marina A.1ORCID,Lobov Arseniy A.12ORCID,Tikanova Polina1,Panova Marina13,Mikhailova Natalia A.14,Granovitch Andrei I.1

Affiliation:

1. Department of Invertebrate Zoology, St. Petersburg State University, St. Petersburg, Russia

2. Laboratory of Regenerative Biomedicine, Institute of Cytology Russian Academy of Sciences, St. Petersburg, Russia

3. Department of Marine Sciences, Tjärnö, University of Gothenburg, Sweden

4. Centre of Cell Technologies, Institute of Cytology Russian Academy of Sciences, St. Petersburg, Russia

Abstract

BackgroundThe introduction of DNA-based molecular markers made a revolution in biological systematics. However, in cases of very recent divergence events, the neutral divergence may be too slow, and the analysis of adaptive part of the genome is more informative to reconstruct the recent evolutionary history of young species. The advantage of proteomics is its ability to reflect the biochemical machinery of life. It may help both to identify rapidly evolving genes and to interpret their functions.MethodsHere we applied a comparative gel-based proteomic analysis to several species from the gastropod family Littorinidae. Proteomes were clustered to assess differences related to species, geographic location, sex and body part, using data on presence/absence of proteins in samples and data on protein occurrence frequency in samples of different species. Cluster support was assessed using multiscale bootstrap resampling and the stability of clustering—using cluster-wise index of cluster stability. Taxon-specific protein markers were derived using IndVal method. Proteomic trees were compared to consensus phylogenetic tree (based on neutral genetic markers) using estimates of the Robinson–Foulds distance, the Fowlkes–Mallows index and cophenetic correlation.ResultsOverall, the DNA-based phylogenetic tree and the proteomic similarity tree had consistent topologies. Further, we observed some interesting deviations of the proteomic littorinid tree from the neutral expectations. (1) There were signs of molecular parallelism in twoLittorariaspecies that phylogenetically are quite distant, but live in similar habitats. (2) Proteome divergence was unexpectedly high between very closely relatedLittorina fabalisandL. obtusata, possibly reflecting their ecology-driven divergence. (3) Conservative house-keeping proteins were usually identified as markers for cryptic species groups (“saxatilis” and “obtusata” groups in theLittorinagenus) and for genera (LittorariaandEchinolittorinaspecies pairs), while metabolic enzymes and stress-related proteins (both potentially adaptively important) were often identified as markers supporting species branches. (4) In all fiveLittorinaspecies British populations were separated from the European mainland populations, possibly reflecting their recent phylogeographic history. Altogether our study shows that proteomic data, when interpreted in the context of DNA-based phylogeny, can bring additional information on the evolutionary history of species.

Funder

Russian Foundation for Basic Research

St. Petersburg State University

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference131 articles.

1. Genetic divergence between rodent species assessed by using two-dimensional electrophoresis;Aquadro;Proceedings of the National Academy of Sciences,1981

2. State of the art of 2D DIGE;Arentz;PROTEOMICS: Clinical Applications,2015

3. Proteomics in evolutionary ecology;Baer;Journal of Proteomics,2016

4. Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach;Beerli;Genetics,1999

5. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;Journal of the Royal Statistical Society: Series B (Methodological),1995

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