Literature DB >> 35904714

Contrasting mtDNA and microsatellite data of great reed warbler Acrocephalus arundinaceus breeding populations on a small geographic scale.

Gyula Hoffmann1,2, Norbert Mátrai3,4,5, Gábor Bakonyi6, Nóra Vili7, József Gyurácz8, Mihály Lenczl9, Péter Kisfali10, Szilvia Stranczinger11, Nóra Mária Magonyi12,2, Erika Mátics12,2, Róbert Mátics2.   

Abstract

The great reed warbler has two genetically distinguishable haplogroups: "Clade A" occurs in higher proportions in Western Europe and Kazakhstan, and colonised Europe and Asia from a refugium in South-West Europe; and "Clade B", which is more common in Eastern Europe, and colonised parts of Europe from a refugium in the Middle East. Our aims were (i) to analyse the rate of differentiation in Hungarian breeding populations in order to see whether European-scale pattern is visible or not on as a small scale as the territory of Hungary and (ii) to compare the results obtained with mtDNA sequencing and microsatellite markers. To analyse the genetic differentiation, the mtDNA control region II was sequenced in 68 adult breeding birds, and 51 were fingerprinted at 11 microsatellite loci, while both analyses were performed on 36 birds (a total of 83 birds). The microsatellite data gave a better resolution and represented the fine-scale pattern of the suspected recolonisation. The lack of genetic differentiation among the breeding populations based on mitochondrial data seems to support this finding, because the admixture of the clades in this particular geographic region obliterates differentiation. Accordingly, the Fst values from different branches are significantly based on microsatellite data only. The mtDNA methods only give reliable results when a geographic and ecological factor plays a role in the population subdivision, but in the case of an intermixing population larger-scale studies are needed.
© 2022. Akadémiai Kiadó Zrt.

Entities:  

Keywords:  Differentiation; Great reed warbler; Hungary; Microsatellite; mtDNA

Year:  2022        PMID: 35904714     DOI: 10.1007/s42977-022-00127-2

Source DB:  PubMed          Journal:  Biol Futur        ISSN: 2676-8607


  22 in total

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2.  A simple new method for estimating null allele frequency from heterozygote deficiency.

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Journal:  Mol Ecol Resour       Date:  2009-10-22       Impact factor: 7.090

4.  A new approach to study dispersal: immigration of novel alleles reveals female-biased dispersal in great reed warblers.

Authors:  Bengt Hansson; Staffan Bensch; Dennis Hasselquist
Journal:  Mol Ecol       Date:  2003-03       Impact factor: 6.185

5.  Increase of genetic variation over time in a recently founded population of great reed warblers (Acrocephalus arundinaceus) revealed by microsatellites and DNA fingerprinting.

Authors:  B Hansson; S Bensch; D Hasselquist; B G Lillandt; L Wennerberg; T von Schantz
Journal:  Mol Ecol       Date:  2000-10       Impact factor: 6.185

6.  Linkage mapping reveals sex-dimorphic map distances in a passerine bird.

Authors:  Bengt Hansson; Mikael Akesson; Jon Slate; Josephine M Pemberton
Journal:  Proc Biol Sci       Date:  2005-11-07       Impact factor: 5.349

7.  Low variation in the polymorphic Clock gene poly-Q region despite population genetic structure across barn swallow (Hirundo rustica) populations.

Authors:  Roi Dor; Irby J Lovette; Rebecca J Safran; Shawn M Billerman; Gernot H Huber; Yoni Vortman; Arnon Lotem; Andrew McGowan; Matthew R Evans; Caren B Cooper; David W Winkler
Journal:  PLoS One       Date:  2011-12-21       Impact factor: 3.240

8.  Hybridization but no evidence for backcrossing and introgression in a sympatric population of great reed warblers and clamorous reed warblers.

Authors:  Bengt Hansson; Maja Tarka; Deborah A Dawson; Gavin J Horsburgh
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9.  Population genetic structure and colonisation history of the tool-using New Caledonian crow.

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10.  Postglacial colonisation patterns and the role of isolation and expansion in driving diversification in a passerine bird.

Authors:  Bengt Hansson; Dennis Hasselquist; Maja Tarka; Pavel Zehtindjiev; Staffan Bensch
Journal:  PLoS One       Date:  2008-07-30       Impact factor: 3.240

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