Literature DB >> 11005285

Population differentiation in an annual legume: genetic architecture.

C B Fenster1, L F Galloway.   

Abstract

The presence or absence of epistasis, or gene interaction, is explicitly assumed in many evolutionary models. Although many empirical studies have documented a role of epistasis in population divergence under laboratory conditions, there have been very few attempts at quantifying epistasis in the native environment where natural selection is expected to act. In addition, we have little understanding of the frequency with which epistasis contributes to the evolution of natural populations. In this study we used a quantitative genetic design to quantify the contribution of epistasis to population divergence for fitness components of a native annual legume, Chamaecrista fasciculata. The design incorporated the contrast of performance of F2 and F3 segregating progeny of 18 interpopulation crosses with the F1 and their parents. Crosses were conducted between populations from 100 m to 2000 km apart. All generations were grown for two seasons in the natural environment of one of the parents. The F1 often outperformed the parents. This F1 heterosis reveals population structure and suggests that drift is a major contributor to population differentiation. The F2 generation demonstrated that combining genes from different populations can sometimes have unexpected positive effects. However, the F3 performance indicated that combining genes from different populations decreased vigor beyond that due to the expected loss of heterozygosity. Combined with previous data, our results suggest that both selection and drift contribute to population differentiation that is based on epistatic genetic divergence. Because only the F3 consistently expressed hybrid breakdown, we conclude that the epistasis documented in our study reflects interactions among linked loci.

Entities:  

Mesh:

Year:  2000        PMID: 11005285     DOI: 10.1111/j.0014-3820.2000.tb00551.x

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


  35 in total

1.  Epistasis and the mutation load: a measurement-theoretical approach.

Authors:  T F Hansen; G P Wagner
Journal:  Genetics       Date:  2001-05       Impact factor: 4.562

2.  Plant genetic differences influence herbivore community structure: evidence from a hybrid willow system.

Authors:  Cris G Hochwender; Robert S Fritz
Journal:  Oecologia       Date:  2004-01-15       Impact factor: 3.225

Review 3.  Population admixture, biological invasions and the balance between local adaptation and inbreeding depression.

Authors:  Koen J F Verhoeven; Mirka Macel; Lorne M Wolfe; Arjen Biere
Journal:  Proc Biol Sci       Date:  2010-08-04       Impact factor: 5.349

4.  Quantitative genetics of functional characters in Drosophila melanogaster populations subjected to laboratory selection.

Authors:  Henrique Teotónio; Margarida Matos; Michael R Rose
Journal:  J Genet       Date:  2004-12       Impact factor: 1.166

5.  Epistasis in monkeyflowers.

Authors:  John K Kelly
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

6.  Genomic compatibility occurs over a wide range of parental genetic similarity in an outcrossing plant.

Authors:  Yvonne Willi; Josh Van Buskirk
Journal:  Proc Biol Sci       Date:  2005-07-07       Impact factor: 5.349

7.  Deleterious epistatic interactions between electron transport system protein-coding loci in the copepod Tigriopus californicus.

Authors:  Christopher S Willett
Journal:  Genetics       Date:  2006-04-19       Impact factor: 4.562

8.  Genetic rescue persists beyond first-generation outbreeding in small populations of a rare plant.

Authors:  Yvonne Willi; Mark van Kleunen; Stefan Dietrich; Markus Fischer
Journal:  Proc Biol Sci       Date:  2007-09-22       Impact factor: 5.349

9.  The different sources of variation in inbreeding depression, heterosis and outbreeding depression in a metapopulation of Physa acuta.

Authors:  Juan Sebastián Escobar; Antoine Nicot; Patrice David
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

10.  Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.

Authors:  Daniel Gianola; Johannes B C H M van Kaam
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.