Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population
BMC Plant Biology, Volume 10, Article 132, Year 2010
Notification
URL copied to clipboard!
Description
Background: Cotton fibers (produced by Gossypium species) are the premier natural fibers for textile production. The two tetraploid species, G. barbadense (Gb) and G. hirsutum (Gh), differ significantly in their fiber properties, the former having much longer, finer and stronger fibers that are highly prized. A better understanding of the genetics and underlying biological causes of these differences will aid further improvement of cotton quality through breeding and biotechnology. We evaluated an inter-specific Gh × Gb recombinant inbred line (RIL) population for fiber characteristics in 11 independent experiments under field and glasshouse conditions. Sites were located on 4 continents and 5 countries and some locations were analyzed over multiple years.Results: The RIL population displayed a large variability for all major fiber traits. QTL analyses were performed on a per-site basis by composite interval mapping. Among the 651 putative QTLs (LOD > 2), 167 had a LOD exceeding permutation based thresholds. Coincidence in QTL location across data sets was assessed for the fiber trait categories strength, elongation, length, length uniformity, fineness/maturity, and color. A meta-analysis of more than a thousand putative QTLs was conducted with MetaQTL software to integrate QTL data from the RIL and 3 backcross populations (from the same parents) and to compare them with the literature. Although the global level of congruence across experiments and populations was generally moderate, the QTL clustering was possible for 30 trait x chromosome combinations (5 traits in 19 different chromosomes) where an effective co-localization of unidirectional (similar sign of additivity) QTLs from at least 5 different data sets was observed. Most consistent meta-clusters were identified for fiber color on chromosomes c6, c8 and c25, fineness on c15, and fiber length on c3.Conclusions: Meta-analysis provided a reliable means of integrating phenotypic and genetic mapping data across multiple populations and environments for complex fiber traits. The consistent chromosomal regions contributing to fiber quality traits constitute good candidates for the further dissection of the genetic and genomic factors underlying important fiber characteristics, and for marker-assisted selection. © 2010 Lacape et al; licensee BioMed Central Ltd.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC3017793/bin/1471-2229-10-132-S1.DOC
https://efashare.b-cdn.net/share/pmc/articles/PMC3017793/bin/1471-2229-10-132-S2.DOC
https://efashare.b-cdn.net/share/pmc/articles/PMC3017793/bin/1471-2229-10-132-S3.PDF
https://efashare.b-cdn.net/share/pmc/articles/PMC3017793/bin/1471-2229-10-132-S4.DOC
https://efashare.b-cdn.net/share/pmc/articles/PMC3017793/bin/1471-2229-10-132-S5.PDF
https://efashare.b-cdn.net/share/pmc/articles/PMC3017793/bin/1471-2229-10-132-S6.DOC
Authors & Co-Authors
Lacape, J. M.
Brazil, Brasilia
Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Llewellyn, Danny
Australia, Melbourne
Csiro Plant Industry
Jacobs, John
Belgium, Brussels
Bayer S.a.-n.v., Belgium
Arioli, Tony
United States, Research Triangle Park
Bayer Cropscience lp
Becker, David
United States, Research Triangle Park
Bayer Cropscience lp
Calhoun, Steve
United States, Research Triangle Park
Bayer Cropscience lp
Al-Ghazi, Yves
Australia, Melbourne
Csiro Plant Industry
Liu, Shiming
Australia, Melbourne
Csiro Plant Industry
Palaï, Oumarou
Cameroon, Douala
Irad
Georges, Sophie
Cameroon, Douala
Irad
France, Paris
Cirad
Giband, Marc
Brazil, Brasilia
Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Brazil, Campina Grande
Embrapa Algodão
de Assunção, Henrique
Brazil, Campina Grande
Embrapa Algodão
Barroso, Paulo Augusto Vianna
Brazil, Campina Grande
Embrapa Algodão
Claverie, Michel
Brazil, Brasilia
Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Gawryziak, Gérard
France, Paris
Cirad
Jean, Janine
France, Paris
Cirad
Vialle, Michèle
France, Paris
Cirad
Viot, Christopher
Brazil, Brasilia
Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Statistics
Citations: 137
Authors: 18
Affiliations: 7
Identifiers
Doi:
10.1186/1471-2229-10-132
e-ISSN:
14712229
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Systematic review