BMC Genomics · 2018 · 42 citations · 46 references
Life SciencesGeneticsPlant SciencesCrop ImprovementPlant GeneticsPlant GenomicsAgronomic Trait EvaluationCrop GenomicsFiber Quality BreedingQuantitative Trait LociQuantitative Trait Loci MappingQuantitative Trait Locus MappingGenetic Linkage MapsGenetic Map ConstructionGenetic Marker MappingHigh-density Genetic MappingHigh-density Genetic MapsHigh-density Linkage MapsSingle Nucleotide Polymorphism MarkersSingle-nucleotide Polymorphism Analysis
BACKGROUND: Gossypium barbadense (Sea Island, Egyptian or Pima cotton) cotton has high fiber quality, however, few studies have investigated the genetic basis of its traits using molecular markers. Genome complexity reduction approaches such as genotyping-by-sequencing have been utilized to develop abundant markers for the construction of high-density genetic maps to locate quantitative trait loci (QTLs). RESULTS: The Chinese G. barbadense cultivar 5917 and American Pima S-7 were used to develop a recombinant inbred line (RIL) population with 143 lines. The 143 RILs together with their parents were tested in three replicated field tests for lint yield traits (boll weight and lint percentage) and fiber quality traits (fiber length, fiber elongation, fiber strength, fiber uniformity and micronaire) and then genotyped using GBS to develop single-nucleotide polymorphism (SNP) markers. A high-density genetic map with 26 linkage groups (LGs) was constructed using 3557 GBS SNPs spanning a total genetic distance of 3076.23 cM at an average density of 1.09 cM between adjacent markers. A total of 42 QTLs were identified, including 24 QTLs on 12 LGs for fiber quality and 18 QTLs on 7 LGs for lint yield traits, with LG1 (9 QTLs), LG10 (7 QTLs) and LG14 (6 QTLs) carrying more QTLs. Common QTLs for the same traits and overlapping QTLs for different traits were detected. Each individual QTLs explained 0.97 to 20.7% of the phenotypic variation. CONCLUSIONS: This study represents one of the first genetic mapping studies on the fiber quality and lint yield traits in a RIL population of G. barbadense using GBS-SNPs. The results provide important information for the subsequent fine mapping of QTLs and the prediction of candidate genes towards map-based cloning and marker-assisted selection in cotton.
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The Sequence Alignment/Map format and SAMtools
Heng Li, Alec Wysoker, Tim Fennell et al. · Bioinformatics · 2009 · 67.5K citations · Full text
Fast and accurate short read alignment with Burrows–Wheeler transform
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