Literature DB >> 16817549

Very low additive genetic variance and evolutionary potential in multiple populations of two rainforest Drosophila species.

Vanessa M Kellermann1, Belinda Van Heerwaarden, Ary A Hoffmann, Carla M Sgrò.   

Abstract

Most quantitative traits are thought to exhibit high levels of genetic variance and evolutionary potential. However, this conclusion may be biased by a lack of studies on nonmodel organisms and may not generalize to restricted species. A recent study on a single, southern population of the rainforest-restricted Drosophila birchii failed to find significant additive genetic variance for the desiccation resistance trait; however, it is unclear whether this pattern extends to other D. birchii populations or to other rainforest species. Here we use an animal model design to show very low levels of additive genetic variance for desiccation resistance in multiple populations of two highly sensitive rainforest species of Drosophila from tropical northeastern Australia. In contrast, relatively high levels of genetic variance were found for morphological traits in all populations of the species tested. This indicates limited evolutionary potential for evolving increased desiccation resistance in these rainforest restricted species.

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Year:  2006        PMID: 16817549     DOI: 10.1554/05-710.1

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  20 in total

1.  Population bottlenecks increase additive genetic variance but do not break a selection limit in rain forest Drosophila.

Authors:  Belinda van Heerwaarden; Yvonne Willi; Torsten N Kristensen; Ary A Hoffmann
Journal:  Genetics       Date:  2008-08-09       Impact factor: 4.562

2.  Evolutionarily stable range limits set by interspecific competition.

Authors:  Trevor D Price; Mark Kirkpatrick
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

3.  Testing limits to adaptation along altitudinal gradients in rainforest Drosophila.

Authors:  Jon R Bridle; Sedef Gavaz; W Jason Kennington
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

Review 4.  Key questions in the genetics and genomics of eco-evolutionary dynamics.

Authors:  A P Hendry
Journal:  Heredity (Edinb)       Date:  2013-08-21       Impact factor: 3.821

5.  Heritability of climate-relevant traits in a rainforest skink.

Authors:  Felipe Martins; Loeske Kruuk; John Llewelyn; Craig Moritz; Ben Phillips
Journal:  Heredity (Edinb)       Date:  2018-05-22       Impact factor: 3.821

6.  Evolutionary rescue by beneficial mutations in environments that change in space and time.

Authors:  Mark Kirkpatrick; Stephan Peischl
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

7.  Genetically based population divergence in overwintering energy mobilization in brook charr (Salvelinus fontinalis).

Authors:  Amélie Crespel; Louis Bernatchez; Dany Garant; Céline Audet
Journal:  Genetica       Date:  2013-02-15       Impact factor: 1.082

8.  Is adaptation to climate change really constrained in niche specialists?

Authors:  Belinda van Heerwaarden; Carla M Sgrò
Journal:  Proc Biol Sci       Date:  2014-09-07       Impact factor: 5.349

9.  Estimating the potential for adaptation of corals to climate warming.

Authors:  Nikolaus B M Császár; Peter J Ralph; Richard Frankham; Ray Berkelmans; Madeleine J H van Oppen
Journal:  PLoS One       Date:  2010-03-18       Impact factor: 3.240

10.  Towards an integrated framework for assessing the vulnerability of species to climate change.

Authors:  Stephen E Williams; Luke P Shoo; Joanne L Isaac; Ary A Hoffmann; Gary Langham
Journal:  PLoS Biol       Date:  2008-12-23       Impact factor: 8.029

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