Literature DB >> 31359512

Chance and predictability in evolution: The genomic basis of convergent dietary specializations in an adaptive radiation.

Joel Vizueta1, Nuria Macías-Hernández2,3, Miquel A Arnedo4, Julio Rozas1, Alejandro Sánchez-Gracia1.   

Abstract

The coexistence of multiple eco-phenotypes in independently assembled communities makes island adaptive radiations the ideal framework to test convergence and parallelism in evolution. In the radiation of the spider genus Dysdera in the Canary Islands, species diversification occurs concomitant with repeated events of trophic specialization. These dietary shifts, to feed primarily on woodlice, are accompanied by modifications in morphology (mostly in the mouthparts), behaviour and nutritional physiology. To gain insight into the molecular basis of this adaptive radiation, we performed a comprehensive comparative transcriptome analysis of five Canary Island Dysdera endemics representing two evolutionary and geographically independent events of dietary specialization. After controlling for the potential confounding effects of hemiplasy, our differential gene expression and selective constraint analyses identified a number of genetic changes that could be associated with the repeated adaptations to specialized diet of woodlice, including some related to heavy metal detoxification and homeostasis, the metabolism of some important nutrients and venom toxins. Our results shed light on the genomic basis of an extraordinary case of dietary shift convergence associated with species diversification. We uncovered putative molecular substrates of convergent evolutionary changes at different hierarchical levels, including specific genes, genes with equivalent functions and even particular amino acid positions. This study improves our knowledge of rapid adaptive radiations and provides new insights into the predictability of evolution.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  comparative transcriptomics; diet specialization; differential gene expression; heavy metals; oceanic islands; phenotypic convergence; positive selection; spiders; toxins

Mesh:

Year:  2019        PMID: 31359512     DOI: 10.1111/mec.15199

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


  6 in total

1.  Evolutionary transitions in diet influence the exceptional diversification of a lizard adaptive radiation.

Authors:  Mauricio Ocampo; Daniel Pincheira-Donoso; Ferran Sayol; Rodrigo S Rios
Journal:  BMC Ecol Evol       Date:  2022-06-07

2.  The draft genome sequence of the spider Dysdera silvatica (Araneae, Dysderidae): A valuable resource for functional and evolutionary genomic studies in chelicerates.

Authors:  Jose Francisco Sánchez-Herrero; Cristina Frías-López; Paula Escuer; Silvia Hinojosa-Alvarez; Miquel A Arnedo; Alejandro Sánchez-Gracia; Julio Rozas
Journal:  Gigascience       Date:  2019-08-01       Impact factor: 6.524

3.  The Tetragnatha kauaiensis Genome Sheds Light on the Origins of Genomic Novelty in Spiders.

Authors:  José Cerca; Ellie E Armstrong; Joel Vizueta; Rosa Fernández; Dimitar Dimitrov; Bent Petersen; Stefan Prost; Julio Rozas; Dmitri Petrov; Rosemary G Gillespie
Journal:  Genome Biol Evol       Date:  2021-12-01       Impact factor: 3.416

4.  Topographically distinct adaptive landscapes for teeth, skeletons, and size explain the adaptive radiation of Carnivora (Mammalia).

Authors:  Graham J Slater
Journal:  Evolution       Date:  2022-08-02       Impact factor: 4.171

5.  Integrated miRNA and transcriptome profiling to explore the molecular determinism of convergent adaptation to corn in two lepidopteran pests of agriculture.

Authors:  Sylvie Gimenez; Imène Seninet; Marion Orsucci; Philippe Audiot; Nicolas Nègre; Kiwoong Nam; Réjane Streiff; Emmanuelle d'Alençon
Journal:  BMC Genomics       Date:  2021-08-09       Impact factor: 3.969

6.  Woodlice change the habitat use of spiders in a different food chain.

Authors:  Stefanie M Guiliano; Cerina M Karr; Nathalie R Sommer; Robert W Buchkowski
Journal:  PeerJ       Date:  2020-06-01       Impact factor: 2.984

  6 in total

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