Genetic dissection of upland cotton (Gossypium hirsutum) cultivars developed in Hubei Province by mapped SSRs

Tu, Jinxing; Zhang, M.J.; Wang, X.Q.; Zhang, X.L.; Lin, Zhongxu

doi:10.4238/2014.january.31.4

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Range (0.126-0.693) and average (0.485) of PIC showed that the panel of markers used in the present study was sufficient to explore the genetic variation among the genotypes of the present study. PIC value was in agreement with the results of Tu et al (2014) (0.46), Wang et al (2016) (0.47), andDong C. G. et al (2018) (0.48). All 97 polymorphic markers were distributed over 26 chromosomes with an average of 3.73 markers per chromosome.…”

Section: Molecular Diversitysupporting

confidence: 91%

Identification of Novel Marker–Trait Associations for Lint Yield Contributing Traits in Upland Cotton (Gossypium hirsutum L.) Using SSRs

et al. 2021

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Improving the yield of lint is the main objective for most of the cotton crop improvement programs throughout the world as it meets the demand of fiber for textile industries. In the current study, 96 genotypes of Gossypium hirsutum were used to find novel simple sequence repeat marker-based associations for lint yield contributing traits by linkage disequilibrium. Extensive phenotyping of 96 genotypes for various agronomic traits was done for two consecutive years (2018 and 2019) in early, normal, and late sown environments. Out of 168 SSR markers screened over the 96 genotypes, a total of 97 polymorphic markers containing 293 alleles were used for analysis. Three different models, i.e., mixed linear model (MLM), compressed mixed linear model (CMLM), and multiple locus mixed linear model (MLMM), were used to detect the significant marker–trait associations for six different environments separately. A total of 38 significant marker–trait associations that were common to at least two environments were considered as promising associations and detailed annotation of the significant markers has been carried out. Twenty-two marker–trait associations were found to be novel in the current study. These results will be very useful for crop improvement programs using marker-assisted cotton breeding.

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Section: Molecular Diversitysupporting

confidence: 91%

Identification of Novel Marker–Trait Associations for Lint Yield Contributing Traits in Upland Cotton (Gossypium hirsutum L.) Using SSRs

et al. 2021

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“…The average PIC value obtained in our investigation aligns with the findings of De MagalhãesBertini et al (2006), who reported a value of 0.48 while examining the genetic relationship between multiple Brazilian cotton genotypes employing SSR markers. However, our PIC value findings were greater than the value of 0.46 reported byTu et al (2014), evaluating the genetic relationship of multiple upland cotton varieties exploiting SSR markers. Correspondingly, the genetic diversity assessment conducted by Guang and Xiong-Ming, 2006 using SSR markers on various upland cotton genotypes from diverse ecological areas in China yielded a lower value of 0.62 Zhang et al (2011).…”

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confidence: 97%

Exploring Genetic Diversity in Cotton Genotypes Using EST-SSR and ISSR Markers: A Comparative Study

Iqbal,

Altaf,

Jan

et al. 2023

SJA

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| Cotton (Gossypium hirsutum L.) is a significant global crop and a vital raw material for industries. Studying existing cotton germplasm is crucial for discovering new genetic resources for future breeding. In this study, the effectiveness of EST-SSRs and ISSRs markers were compared for assessing genetic variation among 45 Pakistani Bt and non-Bt cotton varieties. ISSR and EST-SSR primers yielded 108 and 28 loci, respectively. The polymorphism was found 32.40% for ISSR, while 89.28% was recorded for SSR primers. Cluster analysis revealed a high level of genetic similarity for ISSR (average 0.92) and EST-SSR (average 0.85) among cotton genotypes. The mean polymorphic information content (PIC) value was 0.25 for ISSR, whereas it was recorded 0.48 for EST-SSRs. Confusion probability (Cj) exhibited a negative association with discriminating power (Dj), while Dj displayed a positive association with PIC. Marker discriminating statistics showed that EST-SSRs have a high expected heterozygosity of polymorphic loci (Hep) as compared to ISSR, along with a higher marker index value (MI). The effective multiplex ratio for ISSRs (1.40) was greater than EST-SSRs (1.12). The structural analysis revealed 6 sub-clusters for EST-SSRs and 4 sub-clusters for ISSRs. This phylogenetic study is crucial for identifying promising genotypes for breeding programs, especially given the limited genetic diversity in cotton breeding. The study showed that Bt cotton genotypes share a high genetic similarity, emphasizing the need for introducing diverse or exotic genotypes into breeding programs to enrich genetic diversity. Additionally, marker-discriminating indices can aid in selecting effective markers to assess genetic variation, facilitating the development of improved cotton varieties with desired traits.

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“…AMOVA result showed higher genetic variance among populations. Tu et al (2014) found lower genetic variance among populations in 51 Upland cotton cultivars. The relatively higher variance among populations and lower within populations we obtained could be due to the semi-wild nature of the accessions (Keneni et al 2012).…”

Section: Discussionmentioning

confidence: 81%

Genome-wide assessment of genetic diversity and fiber quality traits characterization in Gossypium hirsutum races

Okubazghi

Cai

et al. 2017

Journal of Integrative Agriculture

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Gossypium hirsutum races are believed to be potential reservoirs of desirable traits, which can play crucial roles to overcome the existing narrow genetic base of modern Upland cotton cultivars. However, prior to utilizing the races in cotton improvement programs, understanding their genetic constitutions is needed. Thus, this study used molecular and morphological techniques to characterize 110 G. hirsutum germplasm including 109 semi-wild accessions and one Upland cotton cultivar, CRI12. 104 SSR markers detected a total of 795 alleles, with an average of 7.64 alleles per marker, ranging from 3 to 14, and average PIC value of 0.71. 96 of the markers were found to be highly informative, with polymorphism information content (PIC) value ≥0.50. Pairwise genetic similarity coefficient across the accessions ranged from 0.19 to 1.00, with an average value of 0.46. Morphological characterization was done using fiber length, fiber strength, micronaire, fiber uniformity index, and fiber elongation. Pairwise taxonomic distance within the accessions ranged from 0.17 to 3.41, with a mean of 1.33. The SSR and fiber quality traits data set based unweighted pair group method of arithmetic mean (UPGMA) analysis grouped the accessions into 7 and 12 distinct clusters, respectively that corresponds well with the results of principal component analysis (PCA). Our study revealed the existence of vast molecular and morphological diversities within the accessions and provided valuable information on each semi-wild accession for quick and better informed germplasm utilization in cotton breeding programs.

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Genetic dissection of upland cotton (Gossypium hirsutum) cultivars developed in Hubei Province by mapped SSRs

Cited by 8 publications

References 21 publications

Identification of Novel Marker–Trait Associations for Lint Yield Contributing Traits in Upland Cotton (Gossypium hirsutum L.) Using SSRs

Identification of Novel Marker–Trait Associations for Lint Yield Contributing Traits in Upland Cotton (Gossypium hirsutum L.) Using SSRs

Exploring Genetic Diversity in Cotton Genotypes Using EST-SSR and ISSR Markers: A Comparative Study

Genome-wide assessment of genetic diversity and fiber quality traits characterization in Gossypium hirsutum races

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