Genome resequencing-based high-density genetic map and QTL detection for yield and fiber quality traits in diploid Asiatic cotton (Gossypium arboreum)

Cotton is the most important fiber crop in the world. Asiatic cotton ( Gossypium arboreum , genome A 2 ) is a diploid cotton species producing spinnable fibers and important germplasm for cotton breeding and a significant model for fiber biology. However, the genetic map of Asiatic cotton has been l...

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Bibliographic Details
Published in:Molecular genetics and genomics : MGG 2022, Vol.297 (1), p.199-212
Main Authors: Li, Yaohua, Mo, Tong, Ran, Lingfang, Zeng, Jianyan, Wang, Chuannan, Liang, Aimin, Dai, Yonglu, Wu, Yiping, Zhong, Ziman, Xiao, Yuehua
Format: Article
Language:English
Subjects:
Animal Genetics and Genomics
Biochemistry
Biomedical and Life Sciences
Chromosome Mapping
Cotton
Cotton Fiber - classification
Cotton Fiber - standards
Diploids
Diploidy
Gene mapping
Genetic Linkage
Genome, Plant
Genomes
Germplasm
Gossypium - classification
Gossypium - genetics
Gossypium - metabolism
Gossypium arboreum
Human Genetics
Inbreeding
Life Sciences
Microbial Genetics and Genomics
Original Article
Phenotype
Phenotypic variations
Plant Breeding
Plant Genetics and Genomics
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Sequence Analysis, DNA - methods
Single-nucleotide polymorphism
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Summary:Cotton is the most important fiber crop in the world. Asiatic cotton ( Gossypium arboreum , genome A 2 ) is a diploid cotton species producing spinnable fibers and important germplasm for cotton breeding and a significant model for fiber biology. However, the genetic map of Asiatic cotton has been lagging behind tetraploid cottons, as well as other stable crops. This study aimed to construct a high-density SNP genetic map and to map QTLs for important yield and fiber quality traits. Using a recombinant inbred line (RIL) population and genome resequencing technology, we constructed a high-density genetic map that covered 1980.17 cM with an average distance of 0.61 cM between adjacent markers. QTL analysis revealed a total of 297 QTLs for 13 yield and fiber quality traits in three environments, explaining 5.0–37.4% of the phenotypic variance, among which 75 were stably detected in two or three environments. Besides, 47 QTL clusters, comprising 131 QTLs for representative traits, were identified. Our works laid solid foundation for fine mapping and cloning of QTL for yield and fiber quality traits in Asiatic cotton.
ISSN:1617-4615
1617-4623
DOI:10.1007/s00438-021-01848-0