Literature DB >> 33978918

Impact of Limited Dispersion Capacity and Natural Barriers on the Population Structure of the Grasshopper Ommexecha virens (Orthoptera: Ommexechidae).

Tyago Eufrásio de Souza1, Geyner Alves Dos Santos Cruz2,3, Rita de Cássia de Moura4.   

Abstract

The grasshopper Ommexecha virens Serville has low dispersion capacity, and it is regarded as a specialist, only being found in sandy, dry environments with high incidence of sunlight. Considering these aspects, we evaluated the diversity and genetic structure of O. virens natural populations using ISSR (Inter Simple Sequence Repeat) markers. The data pointed to low expected heterozygosity for some populations (HE = 0.06-0.09), probably a consequence of positive inbreeding, which is typical of species showing low or null dispersion indices. Moreover, significant genetic differentiation was observed (FST = 0.50 and GST = 0.51), as well as low number of migrants (Nm = 0.47), indicating that the populations are genetically differentiated. This is likely related to the limitation in dispersing and fragmentation of suitable environment localities colonized by O. virens. The populations of O. virens were structured in three genetic groups associated to different landscapes, revealing the presence of a secondary contact zone, possibly arisen from isolation followed by genetic divergence among populations and subsequent gene flow of divergent individuals of O. virens. At last, we found positive isolation by distance (IBD; r: 0.427; P: 0.025) which is an important factor, since it may be adding to the emergence of reproductive barriers among individuals of O. virens that have been experiencing isolation.

Entities:  

Keywords:  Edited by Herbert AA Siqueira; IBD; ISSR; Population genetic differentiation; specialist species

Year:  2021        PMID: 33978918     DOI: 10.1007/s13744-021-00878-y

Source DB:  PubMed          Journal:  Neotrop Entomol        ISSN: 1519-566X            Impact factor:   1.434


  29 in total

Review 1.  Dispersal, gene flow, and population structure.

Authors:  A J Bohonak
Journal:  Q Rev Biol       Date:  1999-03       Impact factor: 4.875

2.  Neighbor-net: an agglomerative method for the construction of phylogenetic networks.

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Journal:  Mol Biol Evol       Date:  2003-12-05       Impact factor: 16.240

3.  Application of phylogenetic networks in evolutionary studies.

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Journal:  Mol Biol Evol       Date:  2005-10-12       Impact factor: 16.240

4.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

Review 5.  Choosing the right molecular genetic markers for studying biodiversity: from molecular evolution to practical aspects.

Authors:  Anne Chenuil; Chenuil Anne
Journal:  Genetica       Date:  2006-05       Impact factor: 1.082

6.  Optimizing automated AFLP scoring parameters to improve phylogenetic resolution.

Authors:  Barbara R Holland; Andrew C Clarke; Heidi M Meudt
Journal:  Syst Biol       Date:  2008-06       Impact factor: 15.683

7.  Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques.

Authors:  S M Aljanabi; I Martinez
Journal:  Nucleic Acids Res       Date:  1997-11-15       Impact factor: 16.971

8.  [Speciation and its mechanisms: conceptual background and recent advances].

Authors:  Eduardo Colley; Marta Luciane Fischer
Journal:  Hist Cienc Saude Manguinhos       Date:  2013-10

9.  Eleven polymorphic microsatellite markers for Oedaleus decorus (Orthoptera, Acrididae), an endangered grasshopper in Central Europe.

Authors:  K Berthier; A Loiseau; R Streiff; R Arlettaz
Journal:  Mol Ecol Resour       Date:  2008-11       Impact factor: 7.090

10.  Urban land use limits regional bumble bee gene flow.

Authors:  Shalene Jha; C Kremen
Journal:  Mol Ecol       Date:  2013-03-18       Impact factor: 6.185

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