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Originally published as Genetics Published Articles Ahead of Print on June 11, 2007.

Genetics, Vol. 176, 2577-2588, August 2007, Copyright © 2007
doi:10.1534/genetics.107.074518

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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

Junkang Rong*, F. Alex Feltus*, Vijay N. Waghmare{dagger}, Gary J. Pierce*, Peng W. Chee{ddagger}, Xavier Draye§, Yehoshua Saranga**, Robert J. Wright{dagger}{dagger}, Thea A. Wilkins{dagger}{dagger}, O. Lloyd May{ddagger}, C. Wayne Smith{ddagger}{ddagger}, John R. Gannaway§§, Jonathan F. Wendel*** and Andrew H. Paterson*,1

* Plant Genome Mapping Laboratory and {ddagger} Coastal Plains Experiment Station, University of Georgia, Athens, Georgia 30602, {dagger} Division of Crop Improvement, Central Institute for Cotton Research, Nagpur, India, § Université catholique de Louvain Place Croix du Sud 2/11–1348, Louvain-la-Neuve, Belgium, ** The RH Smith Institute of Plant Science and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel, {dagger}{dagger} Department of Plant and Soil Science, Texas Tech University, Lubbock, Texas 79409, {ddagger}{ddagger} Department of Soil and Crop Science, Texas A&M University, College Station, Texas 77843, §§ Texas A&M Research and Extension Center, Lubbock, Texas 79401, *** Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 50011

1 Corresponding author: Plant Genome Mapping Laboratory, University of Georgia, 111 Riverbend Rd., Rm. 228, Athens, GA 30602.
E-mail: paterson{at}uga.edu

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.




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