EST-SSR and SSR analyses of genetic diversity in diploid cotton genotypes from Iran

The Nucleus ◽  
2013 ◽  
Vol 56 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Zahra Noormohammadi ◽  
Azam Rahnama ◽  
Masoud Sheidai
2020 ◽  
pp. 1-8
Author(s):  
A. Manivannan ◽  
V. N. Waghmare

Abstract Cotton is one of the most important crops among natural fibres. Fibre quality determines the spinning ability, which is negatively correlated with yield and yield-contributing traits. Limited efforts have been made to improve fibre quality and yield in diploid cotton. Therefore, screening a large panel of germplasm lines can help identify genotypes with better fibre quality and yield. We evaluated 712 desi cotton genotypes for fibre quality traits. The genotypes showed a significant difference for all the traits, suggesting considerable variability for fibre quality improvement. Fibre length and strength showed high phenotypic and genotypic coefficients of variation. Heritability was high for fibre strength, length, and elongation. Fibre length and strength were positively correlated; however, micronaire was negatively correlated with these two traits. Superior accessions were identified for fibre length (11), strength (20), uniformity (7), and elongation (25) among genotypes. Most of the desi lines (71%) had medium micronaire values. Twenty accessions identified were ideal for spinning, showing the fibre strength-to-length ratio of one. Cluster analysis based on Euclidean distance grouped all 712 accessions into four major clusters. Principal component analysis biplot revealed that accessions AC3418, 360-SP1, AC3522B, Kanpur A, Gao16CB-9, and AC3370 were genetically diverse. The superior accessions for fibre quality identified in this study are potential lines for the diploid cotton improvement programme.


2017 ◽  
Vol 43 (3) ◽  
pp. 277-288
Author(s):  
Amna Saeed ◽  
Eminur Elçi

Abstract Cotton (Gossypium hirsutum L.) is the most important natural textile fiber crop grown worldwide. Several biotic and abiotic stress factors affect cotton yield due to lower genetic diversity for the traits of particular interest. Verticillium wilt (VW) is one of the major factors incurring huge cotton yield losses. The most effective management option against VW is the development of resistant cultivars. The resistant cultivars must also have superior fiber quality and yield traits. Therefore, the current study was aimed at screening some of the identified simple sequence repeats (SSR) markers for VW resistance and fiber quality traits of cotton genotypes in Turkey. Fifty different cultivars were screened with 30 SSR markers. Polymerase chain reaction (PCR) was conducted to amplify the SSR markers. The amplified bands were scored as 0 or 1 for absence and presence, respectively. For the molecular data analysis, polymorphism information content (PIC) values of molecular markers were calculated. Among tested SSR markers 13 were found polymorphic, which produced a total of 677 loci. The number of alleles per marker ranged from 1 to 4 and, overall average PIC values of markers ranged from 0.00 to 0.76, respectively. Principal component analysis executed on presence absence data yielded two distinct groups of cultivars screened. Hierarchical clustering revealed low genetic diversity among the tested cultivars. Based on the results TamcotCamdES, Gloria, Natalia, Lydia, Teks, Tamcot SP37H, N87 and BA525 are the promising cultivars for further breeding studies. The results of the current study also revealed that 4 SSR markers (DPL752 and DPL322 for fiber traits, DPL0022 and GH215 for VW resistance) out of 30 could be used for improving VW resistance and fiber quality in cotton through marker assisted selection.


2011 ◽  
Vol 62 (10) ◽  
pp. 859 ◽  
Author(s):  
Satya Narayan Jena ◽  
Anukool Srivastava ◽  
Uma Maheswar Singh ◽  
Sribash Roy ◽  
Nandita Banerjee ◽  
...  

An understanding of the level of genetic diversity is a prerequisite for designing efficient breeding programs. Fifty-one cultivars of four cotton species (Gossypium hirsutum, G. barbadense, G. herbaceum and G. arboreum) representing core collections at four major cotton research stations with a wide range of eco-geographical regions in India were examined for the level of genetic diversity, distinct subpopulations and the level of linkage disequilibrium (LD) using 1100 amplified fragment length polymorphism (AFLP) markers with 16 primer pairs combinations. The AFLP markers enabled a reliable assessment of inter- and intra-specific genetic variability with a heterogeneous genetic structure. Higher genetic diversity was noticed in G. herbaceum, followed by G. arboreum. The genetic diversity in tetraploid cotton species was found to be less than that in the diploid species. The genotypes VAGAD, RAHS14, IPS187, 221 557, Jayhellar of G. herbaceum and 551, DLSA17, 221 566 of G. arboreum were identified as the most diverse parents, useful for quantitative trait loci (QTL) analysis in diploid cotton. Similarly, LRA 5166, AS3 and MCU5 of G. hirsutum and B1, B3, Suvin of G. barbadense were most diverse to develop mapping populations for fibre quality. The internal transcribed spacer sequences were sufficient to resolve different species and subspecies of diploid cotton. Low level of genome-wide LD was detected in the entire collection (r2 = 0.07) as well as within the four species (r2 = 0.11–0.15). A strong agreement was noticed between the clusters constructed on the basis of morphological and genotyping data.


2014 ◽  
Vol 68 (1) ◽  
Author(s):  
Omid Sofalian ◽  
Somayyeh Azimy ◽  
Sodabeh Jahanbakhsh ◽  
Saeid Khomari ◽  
Sara Dezhsetan

2004 ◽  
Vol 13 (1) ◽  
pp. 81-84 ◽  
Author(s):  
M. Vafale-Tabar ◽  
Shanti Chandrashekaran ◽  
M. K. Rana ◽  
K. V. Bhaf

Author(s):  
Kanwal Zia ◽  
Syed Bilal Hussain

DNA markers application in marker-assisted breeding of cotton is handicapped due to low genetic diversity in cotton germplasm. The present study was designed to identify DNA markers, predominately simple sequence repeats (SSRs), associated with tolerance/resistance to heat stress as a consequence of boll shedding. To find out the genetic diversity a total of 24 cotton genotypes and 50 SSR primers were used. Total 288 alleles were produced with an average of 5.7 alleles per primer. Bootstrap cluster analysis used to generate a dendrogram that cluster the 24 accessions into two main clusters. Eleven out of 24 genotypes fall in a single cluster. Phenotypically H-4074 gives more diversity, while genotypically H-4074 sheared the same genetic background as H-4070, H-4091 and H-4090. Low genetic diversity was observed among both genotypic and phenotypic as maximum varieties fall in single group. This study helps for selecting diverse accessions with multiple phenotypic traits, which were drought to boll shedding. It suggests further elaborating the molecular genetic diversity by using new SSR marker to improve the yield of cotton cultivars. These preliminary results set the stage for initiating in depth marker-trait association studies, which will be instrumental for initiating marker-assisted breeding in cotton.


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