Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development

被引:197
作者
Rong, Junkang
Feltus, E. Alex
Waghmare, Vijay N.
Pierce, Gary J.
Chee, Peng W.
Draye, Xavier
Saranga, Yehoshua
Wright, Robert J.
Wilkins, Thea A.
May, O. Lloyd
Smith, C. Wayne
Gannaway, John R.
Wendel, Jonathan R.
Paterson, Andrew H.
机构
[1] Univ Georgia, Plant Genome Mapping Lab, Athens, GA 30602 USA
[2] Univ Georgia, Coastal Plain Expt Stn, Athens, GA 30602 USA
[3] Cent Inst Cotton Res, Div Crop Improvement, Nagpur, Maharashtra, India
[4] Catholic Univ Louvain, B-3000 Louvain, Belgium
[5] Hebrew Univ Jerusalem, RH Smith Inst Plant Sci & Genet Agr, IL-76100 Rehovot, Israel
[6] Texas Tech Univ, Dept Plant & Soil Sci, Lubbock, TX 79409 USA
[7] Texas A&M Univ, Dept Soil & Crop Sci, College Stn, TX 77843 USA
[8] Texas A&M Univ Res & Extens Ctr, Lubbock, TX 79401 USA
[9] Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA 50011 USA
关键词
D O I
10.1534/genetics.107.074518
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
QTL mapping experiments yield heterogeneous results due to the use of different genotypes, environments, and sampling variation. Compilation of QTL mapping results yields a more complete picture of the genetic control of a trait and reveals patterns in organization of trait variation. A total of 432 QTL mapped in one diploid and 10 tetraploid interspecific cotton populations were aligned using a reference map and depicted in a CMap resource. Early demonstrations that genes from the non-fiber-producing diploid ancestor contribute to tetraploid lint fiber genetics gain further support from multiple populations and environments and advanced-generation studies detecting QTL of small phenotypic effect. Both tetraploid subgenomes contribute QTL at largely non-homeologous locations, suggesting divergent selection acting on many corresponding genes before and/or after polyploid formation. QTL correspondence across studies was only modest, suggesting that additional QTL for the target traits remain to be discovered. Crosses between closely-related genotypes differing by single-gene mutants yield profoundly different QTL landscapes, suggesting that fiber variation involves a complex network of interacting genes. Members of the lint fiber development network appear clustered, with cluster members showing heterogeneous phenotypic effects. Meta-analysis linked to synteny-based and expression-based information provides clues about specific genes and families involved in QTL networks.
引用
收藏
页码:2577 / 2588
页数:12
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