Development of microsatellite markers targeting (GATA) n motifs in sorghum [Sorghum bicolor (L.) Moench]

Jaikishan, I.; Paik, G. R.; Madhusudhana, R.; Elangovan, M.; Rajendrakumar, P.

doi:10.1007/s11032-012-9770-3

Cited by 8 publications

(2 citation statements)

References 36 publications

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“…Some clusters showed high bootstrap values whereas others had low values indicating their chances to fall into another cluster and requirement for more genome coverage by using more number of SSR loci. The validation of clustering pattern on the basis of Win Boot scores for different clusters have been previously performed in various studies pertaining to genetic diversity analysis in crops like rice (Joshi et al, 2000), blackgram (Souframanien & Gopalakrishna, 2004), sorghum (Jaikishan et al, 2013) and green gram (Singh et al, 2014).…”

Section: Molecular Marker Analysismentioning

confidence: 99%

MULTI TRAIT ANALYSIS REVEALS SUBSTANTIAL DIVERSITY IN PEARL MILLET [Pennisetum glaucum (L.) R. Br.] INBRED LINES

Sangwan¹,

Yashveer²,

Kumar³

et al. 2019

JEBAS

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The strength of any ongoing breeding programme thoroughly depends on the presence of genetic variation at both morphological and molecular level. In present study, total 36 pearl millet genotypes were evaluated for different morphological characters along with grain Fe and Zn contents. High estimates of coefficient of variation inclusive of high heritability and genetic advance as per cent of mean was marked for dry fodder yield per plant, grain yield per plant, Fe and Zn contents. This suggested that the selection based on these traits will be effective in improving breeding material. Further correlation analysis showed a highly significant correlation between grain Fe and Zn content which signifies simultaneous improvement in the two traits. Grain yield per plant showed non significant negative correlation with Fe and Zn thus suggesting improvement in nutrient value without sacrificing yield. A set of 64 SSRs was also used for molecular diversity assessment. A significant positive correlation was observed among number of alleles, Polymorphic Information Content (PIC) and number of repeats in the SSR motifs. Across the linkage groups, the mean PIC varied from 0.48 (LG 3) to 0.76 (LG 2). Mean alleles per locus and overall PIC obtained was 7.20 and 0.68 respectively. Presence of ample variation at morpho-genetic level signifies their use as parents in the out crossing programmes to obtain new improved hybrids with desired traits.

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Section: Molecular Marker Analysismentioning

confidence: 99%

MULTI TRAIT ANALYSIS REVEALS SUBSTANTIAL DIVERSITY IN PEARL MILLET [Pennisetum glaucum (L.) R. Br.] INBRED LINES

Sangwan¹,

Yashveer²,

Kumar³

et al. 2019

JEBAS

View full text Add to dashboard Cite

show abstract

“…CAP3 and BLASTN are used for clustering and alignment, while SSRIT and MISA are used for the identifi cation of microsatellites. During the last 5 years, about 1758 new SSR markers from genomic sequence contigs (Li et al 2009a ), 109 and 600 SSR markers from ESTs (Ramu et al 2009 ;Srinivas et al 2009 ), 1519 SSR markers from unigenes (Nagaraja Reddy et al 2012 ), and 5599 SSR and 110 (GATA) n motif-based SSR markers from whole-genome sequences (Yonemaru et al 2009 ;Jaikishan et al 2013 ) were developed through in silico approaches.…”

Section: Bioinformatics For Molecular Marker Developmentmentioning

confidence: 99%