Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian Mustard (Brassica juncea)

Singh, B. K.; Mishra, Dwijesh Chandra; Yadav, Sushma; Ambawat, Supriya; Vaidya, Era; Tribhuvan, Kishor U.; Kumar, Arun; Kumar, Sandeep; Kumar, Sanjeev; Chaturvedi, Krishna Kumar; Rani, Reema; Yadav, Prashant; Rai, Anil; Rai, P. K.; Singh, V. V.; Singh, Dhiraj

doi:10.1007/s13562-016-0353-y

Cited by 22 publications

(6 citation statements)

References 41 publications

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“…yields (Qx/Ha) and 1000-grain weight (g). Table 2 provides genotyping data using the 20 microsatellite markers identified and selected [1] , [2] , [3] and allowing the characterization of the genetic diversity of the mustard seed collection and the selection of the 18 genotypes. The genetic diversity of the initial mustard seed collection (40 genotypes) was represented by the Neighbor Joining method ( Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

Data on agronomic traits, biochemical composition of lipids, proteins and polysaccharides and rheological measurement in a brown mustard seed collection

et al. 2021

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The data were collected from a brown mustard seeds collection of 18 accessions during two years and in three distinct sites of production in France. The 18 accessions of mustard seeds were selected to be representative of genetic, agronomical and technological variabilities. All accessions were produced in the “ Bourgogne ” area. This article describes agronomical data (PMG, yield), genotyping data, global composition of mustard seeds (lipids, proteins and polysaccharides) and fine composition of the previous macronutrients potentially involved in the technological properties (fatty acids, storage proteins and osidic composition of polysaccharides). Additional data regarding the potential rheological property of each accessions were also reported. These data can be reused by food industries, breeders and geneticists in order to understand pedoclimatic effects (year and location) and the relation between mustard seed composition and the end-uses properties (paste mustard quality).

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Section: Data Descriptionmentioning

confidence: 99%

Data on agronomic traits, biochemical composition of lipids, proteins and polysaccharides and rheological measurement in a brown mustard seed collection

et al. 2021

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“…A set of 120 SSRs along with 20 EST-SSR markers developed in our laboratory were selected for the analysis (Singh et al 2016a). These markers could effectively illustrate the diversity among the selected germplasm (Table S1).…”

Section: Selection Of Ssr Markersmentioning

confidence: 99%

“…The mustard germplasm is a rich source of valuable genes that can be used by plant breeders to develop improved varieties having resistance/tolerance to various biotic and abiotic stresses along with higher yield. The success of any breeding program depends upon genetic diversity in the germplasm, its intensive exploitation and utilization in crop improvement (Singh et al 2016a; Mishra et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…There are several classes of molecular markers available, among them, microsatellite markers (simple sequence repeats or SSR) are considered as most suitable due to their codominant and multiallelic nature, higher reproducibility, abundance and genome-wide coverage (Kumar et al 2015). A number of SSRs and EST-SSR markers have been developed for Indian mustard varying in their degree of polymorphism (Shi et al 2014;Singh et al 2016a). Therefore, SSR markers covering the entire genome will help in the unbiased study of the genetic diversity of Indian mustard which in turn gives a molecular description of mustard cultivars.…”

Section: Introductionmentioning

confidence: 99%

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Genetic Diversity And Population Structure of Indian Mustard (Brassica Juncea) Based On Morphological and Molecular Markers

Yadav¹,

Yadav²,

Mishra³

et al. 2021

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Rapeseed-mustard is one of the most important oilseed crops and providing a major source of edible oil in the world besides having other economic importance like leafy vegetables, ornamentals, and hedge crops. However, the genetic diversity present in the Brassica gene pool has not been investigated in detail. To address this problem, a study was conducted on 76 genotypes of B. juncea including cultivars, exotic lines, registered genetic stocks, advanced breeding lines, and germplasm lines. The genetic diversity was analyzed with the help of 50 polymorphic SSR and EST-SSR markers. For these genotype-marker combinations, a total of 126 alleles were amplified. Using molecular and phenotypic data, the dendrogram was constructed based on Jaccard’s similarity coefficient and Manhattan dissimilarity coefficient and linkage algorithm UPGMA. All the genotypes were grouped into 5 clusters based on their dissimilarity matrix. Population structure analysis grouped the genotypes in 8 clusters and various degrees of admixture was also observed. The grouping of genotypes appears effective as per their pedigree. The marker data was found more accurate to characterize the diversity and study the population structure than the quantitative trait data. The results of the present investigation will provide useful information for the identification of important alleles for future studies and pave the way to enhance genetic gains in Indian mustard.

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“…and their cross transferability had been explored in other Brassica spp. (Singh et al 2016, Thakur et al 2018, Li et al 2019). However, no attempts had been made to explore the e ciency of cross species transferability of SNP as well as SSR markers from B. juncea to wild Brassica spp.…”

Section: Introductionmentioning

confidence: 99%

Deconstructing molecular phylogenetic relationship among cultivated and wild Brassica species

Sudan

Singh

Mahajan

et al. 2021

Genet Resour Crop Evol

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Brassica represents an agriculturally important and diverse group of oilseed crops with a long evolutionary history. Various molecular markers played an important role in understanding origin and evolution of Brassica species. In present research both Single Nucleotide Polymorphisms (SNPs) and Simple Sequence Repeats (SSRs) developed form Brassica juncea were used to nd out the phylogenetic relationship between various cultivated and wild Brassica species. A total of 88 SSR and 58 SNP markers were found to be functional across 38 genotypes belonging to ten different taxon groups. The polymorphic markers were able to group the genotypes into three different clusters and showed relatedness among different genomes based on genetic distance. The transferability of these markers serves the purpose of their quick use in cultivar identi cation, diversity and phylogenetic analysis in those orphan crops species where no or less genomic information is available.

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Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian Mustard (Brassica juncea)

Cited by 22 publications

References 41 publications

Data on agronomic traits, biochemical composition of lipids, proteins and polysaccharides and rheological measurement in a brown mustard seed collection

Data on agronomic traits, biochemical composition of lipids, proteins and polysaccharides and rheological measurement in a brown mustard seed collection

Genetic Diversity And Population Structure of Indian Mustard (Brassica Juncea) Based On Morphological and Molecular Markers

Deconstructing molecular phylogenetic relationship among cultivated and wild Brassica species

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