A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations

Said, Joseph I.; Song, Mingzhou; Wang, Hantao; Lin, Zhenhua; Zhang, Xianlong; Fang, David D.; Zhang, Jinfa

doi:10.1007/s00438-014-0963-9

Cited by 166 publications

(140 citation statements)

References 74 publications

Supporting

Mentioning

129

Contrasting

Unclassified

Order By: Relevance

“…Many markers, such as BNL3255c, NAU1085 and TML21, were associated with several traits. Five QTL clusters in this study resembled those of Said et al 13. (Table 6).…”

Section: Discussionsupporting

confidence: 86%

“…Interestingly, compared the yield-related trait QTLs detected in more than three environments, we also found that the number of QTLs showing negative effects on fiber yield-related traits is much more than that of QTLs showing positive effects (25 negative QTLs:15 positive QTLs) (Supplementary Information Table S1). When comparing our results with those of our previous report17, and a report by Said et al 13. on intraspecific and interspecific populations, for example, we found that seven qBWs, five qLPs and five qSIs had never been reported before.…”

Section: Discussionsupporting

confidence: 78%

“…These traits are also affected by biotic stressors, including premature senescence, Verticillium wilt, insects and weeds, and by abiotic stress conditions, including flooding, extreme temperatures and drought1112. Researchers have detected QTLs associated with fiber properties from both intraspecific populations of G. hirsutum and interspecific crosses between G. hirsutum and G. barbadense , as well as their later generations1314151617. At the same time, the large number of differentially expressed genes highlights the complex alteration of global gene expression machinery that resulted from human selection of a longer, stronger, and finer fiber.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Zhang

Zhu

Feng

et al. 2016

Sci Rep

View full text Add to dashboard Cite

Fiber quality improvement is a driving force for further cotton domestication and breeding. Here, QTLs for fiber quality were mapped in 115 introgression lines (ILs) first developed from two intraspecific populations of cultivated and feral cotton landraces. A total of 60 QTLs were found, which explained 2.03–16.85% of the phenotypic variance found in fiber quality traits. A total of 36 markers were associated with five fiber traits, 33 of which were found to be associated with QTLs in multiple environments. In addition, nine pairs of common QTLs were identified; namely, one pair of QTLs for fiber elongation, three pairs for fiber length, three pairs for fiber strength and two pairs for micronaire (qMICs). All common QTLs had additive effects in the same direction in both IL populations. We also found five QTL clusters, allowing cotton breeders to focus their efforts on regions of QTLs with the highest percentages of phenotypic variance. Our results also reveal footprints of domestication; for example, fourteen QTLs with positive effects were found to have remained in modern cultivars during domestication, and two negative qMICs that had never been reported before were found, suggesting that the qMICs regions may be eliminated during artificial selection.

show abstract

“…Many markers, such as BNL3255c, NAU1085 and TML21, were associated with several traits. Five QTL clusters in this study resembled those of Said et al 13. (Table 6).…”

Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 78%

mentioning

confidence: 99%

See 1 more Smart Citation

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Zhang

Zhu

Feng

et al. 2016

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Said et al [59] comprehensively analyzed 2,134 previously reported QTLs in intra- and inter-species populations and detected numerous QTLs, which were distributed in clusters in certain chromosome regions in the specific populations. In the present study, QTLs controlling different traits were also detected at the same SSR marker locus.…”

Section: Discussionmentioning

confidence: 99%

“…The chromosome segments of these QTL hotspot clusters could be useful for molecular breeding based on common molecular markers [59]. When the chromosome segments clustered both the favorable alleles of the QTLs for cotton fiber quality and yield traits, it could be more easily used for simultaneous improvement of traits.…”

Section: Discussionmentioning

confidence: 99%

Identification of Chromosome Segment Substitution Lines of Gossypium barbadense Introgressed in G. hirsutum and Quantitative Trait Locus Mapping for Fiber Quality and Yield Traits

et al. 2016

View full text Add to dashboard Cite

Chromosome segment substitution lines MBI9804, MBI9855, MBI9752, and MBI9134, which were obtained by advanced backcrossing and continuously inbreeding from an interspecific cross between CCRI36, a cultivar of upland cotton (Gossypium hirsutum) as the recurrent parent, and Hai1, a cultivar of sea island cotton (G. barbadense) as the donor parent, were used to construct a multiple parent population of (MBI9804×MBI9855)×(MBI9752×MBI9134). The segregating generations of double-crossed F1 and F2 and F2:3 were used to map the quantitative trait locus (QTL) for fiber quality and yield-related traits. The recovery rate of the recurrent parent CCRI36 in the four parental lines was from 94.3%–96.9%. Each of the parental lines harbored 12–20 introgressed segments from Hai1across 21 chromosomes. The number of introgressed segments ranged from 1 to 27 for the individuals in the three generations, mostly from 9 to 18, which represented a genetic length of between 126 cM and 246 cM. A total of 24 QTLs controlling fiber quality and 11 QTLs controlling yield traits were detected using the three segregating generations. These QTLs were distributed across 11 chromosomes and could collectively explain 1.78%–20.27% of the observed phenotypic variations. Sixteen QTLs were consistently detected in two or more generations, four of them were for fiber yield traits and 12 were for fiber quality traits. One introgressed segment could significantly reduce both lint percentage and fiber micronaire. This study provides useful information for gene cloning and marker-assisted breeding for excellent fiber quality.

show abstract

QTL analysis of agronomic, fiber quality, and abiotic stress tolerance traits in a recombinant inbred population of pima cotton

Abdelraheem

Fang

Dever³

et al. 2020

Crop Science

Self Cite

View full text Add to dashboard Cite

Pima cotton (Gossypium barbadense L.) is grown for its superior fiber quality in four U.S. states and in several other countries. However, there is a lack of information on major and stable quantitative trait loci (QTL) for fiber quality and agronomic traits and abiotic stress tolerance across different environments. In this study, a genetic linkage map based on 403 simple sequence repeat (SSR) markers was developed for the Pima S‐6/89590 intraspecific mapping population consisting of 161 recombinant inbred lines (RILs). Through the evaluation of the RIL population in seven field tests for agronomic traits and fiber quality in the four pima cotton‐growing U.S. states and four greenhouse tests for drought and salinity tolerance, a total of 156 QTL were detected. Eight QTL clusters and four hotspots were further identified, and many of the QTL and their clusters and hotspots were consistent with previous studies that will be useful for marker‐assisted selection. Using a basic local alignment search tool (BLAST) search against the sequenced Pima 3‐79 genome, 26, 16, 32, 14, 127, and 14 candidate genes were predicted for 15 stable QTL on six chromosomes (chromosomes 3, 10, 12, 19, 21, and 24, respectively), for fiber quality traits and abiotic stress tolerance. These genomic regions were rich in genes related to fiber developments and abiotic stress responses. This study provides important information on new and stable QTL across environments for developing superior American pima cotton.

show abstract

A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations

Cited by 166 publications

References 74 publications

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines

Identification of Chromosome Segment Substitution Lines of Gossypium barbadense Introgressed in G. hirsutum and Quantitative Trait Locus Mapping for Fiber Quality and Yield Traits

QTL analysis of agronomic, fiber quality, and abiotic stress tolerance traits in a recombinant inbred population of pima cotton

Contact Info

Product

Resources

About