Literature DB >> 28295033

Myosin XI is associated with fitness and adaptation to aridity in wild pearl millet.

I S Ousseini1,2,3,4, Y Bakasso2, N A Kane4,5, M Couderc1, L Zekraoui1,4,5, C Mariac1, D Manicacci6, B Rhoné1,7, A Barnaud1,4,5, C Berthouly-Salazar1,4,5, A Assoumane2,8, D Moussa8, T Moussa8, Y Vigouroux1,3,5.   

Abstract

Phenotypic changes in plants can be observed along many environmental gradients and are determined by both environmental and genetic factors. The identification of alleles associated with phenotypic variations is a rapidly developing area of research. We studied the genetic basis of phenotypic variations in 11 populations of wild pearl millet (Pennisetum glaucum) on two North-South aridity gradients, one in Niger and one in Mali. Most of the 11 phenotypic traits assessed in a common garden experiment varied between the populations studied. Moreover, the size of the inflorescence, the number of flowers and aboveground dry mass co-varied positively with a decrease in rainfall. To decipher the genetic basis of these phenotypes, we used an association mapping strategy with a mixed model. We found two SNPs on the same myosin XI contig significantly associated with variations in the average number of flowers. Both the allele frequency of the two SNPs and the average number of flowers co-varied with the rainfall gradient on the two gradients. Interestingly, this gene was also a target of selection during domestication. The Myosin XI gene is thus a good candidate for fitness-related adaptation in wild populations.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28295033      PMCID: PMC5520543          DOI: 10.1038/hdy.2017.13

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  48 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Structure of linkage disequilibrium and phenotypic associations in the maize genome.

Authors:  D L Remington; J M Thornsberry; Y Matsuoka; L M Wilson; S R Whitt; J Doebley; S Kresovich; M M Goodman; E S Buckler
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-18       Impact factor: 11.205

3.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

4.  Using environmental correlations to identify loci underlying local adaptation.

Authors:  Graham Coop; David Witonsky; Anna Di Rienzo; Jonathan K Pritchard
Journal:  Genetics       Date:  2010-06-01       Impact factor: 4.562

Review 5.  Genetic association mapping and genome organization of maize.

Authors:  Jianming Yu; Edward S Buckler
Journal:  Curr Opin Biotechnol       Date:  2006-02-28       Impact factor: 9.740

6.  CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure.

Authors:  Mattias Jakobsson; Noah A Rosenberg
Journal:  Bioinformatics       Date:  2007-05-07       Impact factor: 6.937

7.  Association studies identify natural variation at PHYC linked to flowering time and morphological variation in pearl millet.

Authors:  Abdoul-Aziz Saïdou; Cédric Mariac; Vivianne Luong; Jean-Louis Pham; Gilles Bezançon; Yves Vigouroux
Journal:  Genetics       Date:  2009-05-11       Impact factor: 4.562

8.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

Review 9.  Positive natural selection in the human lineage.

Authors:  P C Sabeti; S F Schaffner; B Fry; J Lohmueller; P Varilly; O Shamovsky; A Palma; T S Mikkelsen; D Altshuler; E S Lander
Journal:  Science       Date:  2006-06-16       Impact factor: 47.728

10.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

View more
  3 in total

Review 1.  Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes.

Authors:  Sangam L Dwivedi; Armin Scheben; David Edwards; Charles Spillane; Rodomiro Ortiz
Journal:  Front Plant Sci       Date:  2017-08-29       Impact factor: 5.753

2.  No Excess of Cis-Regulatory Variation Associated with Intraspecific Selection in Wild Pearl Millet (Cenchrus americanus).

Authors:  Bénédicte Rhoné; Cédric Mariac; Marie Couderc; Cécile Berthouly-Salazar; Issaka Salia Ousseini; Yves Vigouroux
Journal:  Genome Biol Evol       Date:  2017-02-01       Impact factor: 3.416

3.  Abandonment of pearl millet cropping and homogenization of its diversity over a 40 year period in Senegal.

Authors:  Katina F Olodo; Adeline Barnaud; Ndjido A Kane; Cédric Mariac; Adama Faye; Marie Couderc; Leïla Zekraouï; Anaïs Dequincey; Diégane Diouf; Yves Vigouroux; Cécile Berthouly-Salazar
Journal:  PLoS One       Date:  2020-09-14       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.