Literature DB >> 35078363

Hybridization boosts dispersal of two contrasted ecotypes in a grass species.

Emma V Curran1, Matilda S Scott1, Jill K Olofsson1, Florence Nyirenda2, Graciela Sotelo1, Matheus E Bianconi1, Sophie Manzi3, Guillaume Besnard3, Lara Pereira1, Pascal-Antoine Christin1.   

Abstract

Genetic exchanges between closely related groups of organisms with different adaptations have well-documented beneficial and detrimental consequences. In plants, pollen-mediated exchanges affect the sorting of alleles across physical landscapes and influence rates of hybridization. How these dynamics affect the emergence and spread of novel phenotypes remains only partially understood. Here, we use phylogenomics and population genomics to retrace the origin and spread of two geographically overlapping ecotypes of the African grass Alloteropsis angusta. In addition to an ecotype inhabiting wetlands, we report the existence of a previously undescribed ecotype inhabiting Miombo woodlands and grasslands. The two ecotypes are consistently associated with different nuclear groups, which represent an advanced stage of divergence with secondary low-level gene flow. However, the seed-transported chloroplast genomes are consistently shared by distinct ecotypes inhabiting the same region. These patterns suggest that the nuclear genome of one ecotype can enter the seeds of the other via occasional pollen movements with sorting of nuclear groups in subsequent generations. The contrasting ecotypes of A. angusta can thus use each other as a gateway to new locations across a large part of Africa, showing that hybridization can facilitate the geographical dispersal of distinct ecotypes of the same grass species.

Entities:  

Keywords:  Poaceae; dispersal; ecology; gene flow; growth strategies; hybridization

Mesh:

Year:  2022        PMID: 35078363      PMCID: PMC8790336          DOI: 10.1098/rspb.2021.2491

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  43 in total

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Journal:  Evolution       Date:  2001-07       Impact factor: 3.694

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4.  A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

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Journal:  Bioinformatics       Date:  2011-09-08       Impact factor: 6.937

5.  Phylogenomics using low-depth whole genome sequencing: A case study with the olive tribe.

Authors:  Jill K Olofsson; Isabel Cantera; Céline Van de Paer; Cynthia Hong-Wa; Loubab Zedane; Luke T Dunning; Adriana Alberti; Pascal-Antoine Christin; Guillaume Besnard
Journal:  Mol Ecol Resour       Date:  2019-05-13       Impact factor: 7.090

Review 6.  Widespread evidence for incipient ecological speciation: a meta-analysis of isolation-by-ecology.

Authors:  Aaron B A Shafer; Jochen B W Wolf
Journal:  Ecol Lett       Date:  2013-04-30       Impact factor: 9.492

7.  Pollen dispersal slows geographical range shift and accelerates ecological niche shift under climate change.

Authors:  Robin Aguilée; Gaël Raoul; François Rousset; Ophélie Ronce
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-12       Impact factor: 11.205

8.  Clumpak: a program for identifying clustering modes and packaging population structure inferences across K.

Authors:  Naama M Kopelman; Jonathan Mayzel; Mattias Jakobsson; Noah A Rosenberg; Itay Mayrose
Journal:  Mol Ecol Resour       Date:  2015-02-27       Impact factor: 7.090

9.  Stacks: an analysis tool set for population genomics.

Authors:  Julian Catchen; Paul A Hohenlohe; Susan Bassham; Angel Amores; William A Cresko
Journal:  Mol Ecol       Date:  2013-05-24       Impact factor: 6.185

10.  Mating system variation in hybrid zones: facilitation, barriers and asymmetries to gene flow.

Authors:  Melinda Pickup; Yaniv Brandvain; Christelle Fraïsse; Sarah Yakimowski; Nicholas H Barton; Tanmay Dixit; Christian Lexer; Eva Cereghetti; David L Field
Journal:  New Phytol       Date:  2019-10-09       Impact factor: 10.151

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