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

Author:

Rong Junkang1,Feltus F Alex1,Waghmare Vijay N2,Pierce Gary J1,Chee Peng W3,Draye Xavier4,Saranga Yehoshua5,Wright Robert J6,Wilkins Thea A6,May O Lloyd3,Smith C Wayne7,Gannaway John R8,Wendel Jonathan F9,Paterson Andrew H1

Affiliation:

1. Plant Genome Mapping Laboratory and

2. Coastal Plains Experiment Station, University of Georgia, Athens, Georgia 30602

3. Division of Crop Improvement, Central Institute for Cotton Research, Nagpur, India

4. Université catholique de Louvain Place Croix du Sud 2/11–1348, Louvain-la-Neuve, Belgium

5. The RH Smith Institute of Plant Science and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel

6. Department of Plant and Soil Science, Texas Tech University, Lubbock, Texas 79409

7. Department of Soil and Crop Science, Texas A&M University, College Station, Texas 77843

8. Texas A&M Research and Extension Center, Lubbock, Texas 79401

9. Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 50011

Abstract

Abstract 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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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