Abstract
Fiber quality and yield improvement are crucial for cotton domestication and breeding. With the transformation in spinning techniques and multiplicity needs, the development of cotton fiber quality and yield is of great importance. A genetic map of 5178 Single Nucleotide Polymorphism (SNP) markers were generated using 277 F2:3 population, from an intra-specific cross between two upland cotton accessions, CCRI35 a high fiber quality as female and Nan Dan Ba Di Da Hua (NH), with good yield properties as male parent. The map spanned 4768.098 cM with an average distance of 0.92 cM. A total of 110 Quantitative Traits Loci (QTLs) were identified for 11 traits, but only 30 QTLs were consistent in at least two environments. The highest percentage of phenotypic variance explained by a single QTL was 15.45%. Two major cluster regions were found, cluster 1 (chromosome17-D03) and cluster 2 (chromosome26-D12). Five candidate genes were identified in the two QTL cluster regions. Based on GO functional annotation, all the genes were highly correlated with fiber development, with functions such as protein kinase and phosphorylation. The five genes were associated with various fiber traits as follows: Gh_D03G0889 linked to qFM-D03_cb, Gh_D12G0093, Gh_D12G0410, Gh_D12G0435 associated with qFS-D12_cb and Gh_D12G0969 linked to qFY-D12_cb. Further structural annotation and fine mapping is needed to determine the specific role played by the five identified genes in fiber quality and yield related pathway.
Highlights
Cotton is one of the most important natural fibers and oil crops in the world
All traits were higher in CCRI35 than NH with exemption of fiber elongation (FE) which was higher in NH
The balls were ginned for the determination of lint percentage (LP), fiber length (FL), fiber uniformity (FU), fiber micronaire (FM), fiber elongation (FE), fiber strength (FS), fiber reflectance (FR), fiber yellowness [50], spanning consistency index (SCI) and mature index (MI) by the HVI 900 fiber testing system, which was done in our cotton fiber quality testing unit, cotton research institute, Anyang, China
Summary
Cotton is one of the most important natural fibers and oil crops in the world. Its annual global market value was estimated to be $630.6 billion in 2011 [1]. In all the identified and documented QTLs related to fiber and yield traits, most of them have been localized in a wide range of genomic regions and are often not stable across a wide genetic backgrounds [11]. A dense interspecific map was generated, which included 2316 loci on the 26 cotton chromosomes in order to reduce and enhance accuracy in mapping [12]. These maps developed from interspecific hybridization have limited use in breeding due to limitation in controlling defective genes [2,5]
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