Literature DB >> 24265350

Molecular and quantitative trait variation within and among small fragmented populations of the endangered plant species Psilopeganum sinense.

Qigang Ye1, Feiyan Tang, Na Wei, Xiaohong Yao.   

Abstract

BACKGROUND AND AIMS: Natural selection and genetic drift are important evolutionary forces in determining genetic and phenotypic differentiation in plant populations. The extent to which these two distinct evolutionary forces affect locally adaptive quantitative traits has been well studied in common plant and animal species. However, we know less about how quantitative traits respond to selection pressures and drift in endangered species that have small population sizes and fragmented distributions. To address this question, this study assessed the relative strengths of selection and genetic drift in shaping population differentiation of phenotypic traits in Psilopeganum sinense, a naturally rare and recently endangered plant species.
METHODS: Population differentiation at five quantitative traits (QST) obtained from a common garden experiment was compared with differentiation at putatively neutral microsatellite markers (FST) in seven populations of P. sinense. QST estimates were derived using a Bayesian hierarchical variance component method. KEY
RESULTS: Trait-specific QST values were equal to or lower than FST. Neutral genetic diversity was not correlated with quantitative genetic variation within the populations of P. sinense.
CONCLUSIONS: Despite the prevalent empirical evidence for QST > FST, the results instead suggest a definitive role of stabilizing selection and drift leading to phenotypic differentiation among small populations. Three traits exhibited a significantly lower QST relative to FST, suggesting that populations of P. sinense might have experienced stabilizing selection for the same optimal phenotypes despite large geographical distances between populations and habitat fragmentation. For the other two traits, QST estimates were of the same magnitude as FST, indicating that divergence in these traits could have been achieved by genetic drift alone. The lack of correlation between molecular marker and quantitative genetic variation suggests that sophisticated considerations are required for the inference of conservation measures of P. sinense from neutral genetic markers.

Entities:  

Keywords:  Chinese privet; FST; Psilopeganum sinense; QST; genetic drift; local adaptation, habitat fragmentation; neutral microsatellite markers; quantitative traits; stabilizing selection

Mesh:

Year:  2013        PMID: 24265350      PMCID: PMC3864726          DOI: 10.1093/aob/mct255

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  39 in total

Review 1.  Neutral additive genetic variance in a metapopulation.

Authors:  M C Whitlock
Journal:  Genet Res       Date:  1999-12       Impact factor: 1.588

Review 2.  Quantitative genetics in conservation biology.

Authors:  R Frankham
Journal:  Genet Res       Date:  1999-12       Impact factor: 1.588

3.  How closely correlated are molecular and quantitative measures of genetic variation? A meta-analysis.

Authors:  D H Reed; R Frankham
Journal:  Evolution       Date:  2001-06       Impact factor: 3.694

4.  Extensions of models for the estimation of mating systems using n independent loci.

Authors:  Kermit Ritland
Journal:  Heredity (Edinb)       Date:  2002-04       Impact factor: 3.821

5.  Population differentiation in mediterranean plants: insights into colonization history and the evolution and conservation of endemic species

Authors: 
Journal:  Heredity (Edinb)       Date:  1999-04       Impact factor: 3.821

6.  Landscape approaches to historical and contemporary gene flow in plants.

Authors: 
Journal:  Trends Ecol Evol       Date:  1999-06       Impact factor: 17.712

7.  Bayesian analysis of genetic differentiation between populations.

Authors:  Jukka Corander; Patrik Waldmann; Mikko J Sillanpää
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

8.  The effect of neutral nonadditive gene action on the quantitative index of population divergence.

Authors:  Carlos López-Fanjul; Almudena Fernández; Miguel A Toro
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

9.  IBD (Isolation by Distance): a program for analyses of isolation by distance.

Authors:  A J Bohonak
Journal:  J Hered       Date:  2002 Mar-Apr       Impact factor: 2.645

10.  Comparing Bayesian estimates of genetic differentiation of molecular markers and quantitative traits: an application to Pinus sylvestris.

Authors:  P Waldmann; M R García-Gil; M J Sillanpää
Journal:  Heredity (Edinb)       Date:  2005-06       Impact factor: 3.821

View more
  5 in total

1.  Large-scale adaptive divergence in Boechera fecunda, an endangered wild relative of Arabidopsis.

Authors:  Larry J Leamy; Cheng-Ruei Lee; Vanessa Cousins; Ibro Mujacic; Antonio J Manzaneda; Kasavajhala Prasad; Thomas Mitchell-Olds; Bao-Hua Song
Journal:  Ecol Evol       Date:  2014-07-22       Impact factor: 2.912

2.  Divergent selection along climatic gradients in a rare central European endemic species, Saxifraga sponhemica.

Authors:  Tania J Walisch; Guy Colling; Melanie Bodenseh; Diethart Matthies
Journal:  Ann Bot       Date:  2015-04-09       Impact factor: 4.357

3.  Habitat Fragmentation Differentially Affects Genetic Variation, Phenotypic Plasticity and Survival in Populations of a Gypsum Endemic.

Authors:  Silvia Matesanz; María Luisa Rubio Teso; Alfredo García-Fernández; Adrián Escudero
Journal:  Front Plant Sci       Date:  2017-05-26       Impact factor: 5.753

4.  Phenotypic differentiation and diversifying selection in populations of Eruca sativa along an aridity gradient.

Authors:  Prabodh Kumar Bajpai; Harel Weiss; Gony Dvir; Nir Hanin; Haggai Wasserstrom; Oz Barazani
Journal:  BMC Ecol Evol       Date:  2022-03-30

5.  Trait expression and signatures of adaptation in response to nitrogen addition in the common wetland plant Juncus effusus.

Authors:  Jennifer Born; Stefan G Michalski
Journal:  PLoS One       Date:  2019-01-04       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.