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Identification, analysis and development of salt responsive candidate gene based SSR markers in wheat.
Singh, Amit Kumar; Chaurasia, Shiksha; Kumar, Sundeep; Singh, Rakesh; Kumari, Jyoti; Yadav, Mahesh C; Singh, Nidhi; Gaba, Sonam; Jacob, Sherry Rachel.
  • Singh AK; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India. amit.singh5@icar.gov.in.
  • Chaurasia S; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
  • Kumar S; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
  • Singh R; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
  • Kumari J; Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
  • Yadav MC; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
  • Singh N; Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
  • Gaba S; ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi, 110012, India.
  • Jacob SR; Division of Germplasm Conservation, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi, 110012, India.
BMC Plant Biol ; 18(1): 249, 2018 Oct 20.
Article en En | MEDLINE | ID: mdl-30342465
ABSTRACT

BACKGROUND:

Salinity severely limits wheat production in many parts of the world. Development of salt tolerant varieties represents the most practical option for enhancing wheat production from these areas. Application of marker assisted selection may assist in fast tracking development of salt tolerant wheat varieties. However, SSR markers available in the public domain are not specifically targeted to functional regions of wheat genome, therefore large numbers of these need to be analysed for identification of markers associated with traits of interest. With the availability of a fully annotated wheat genome assembly, it is possible to develop SSR markers specifically targeted to genic regions. We performed extensive analysis to identify candidate gene based SSRs and assessed their utility in characterizing molecular diversity in a panel of wheat genotypes.

RESULTS:

Our analysis revealed, 161 SSR motifs in 94 salt tolerance candidate genes of wheat. These SSR motifs were nearly equally distributed on the three wheat sub-genomes; 29.8% in A, 35.7% in B and 34.4% in D sub-genome. The maximum number of SSR motifs was present in exons (31.1%) followed by promoters (29.8%), 5'UTRs (21.1%), introns (14.3%) and 3'UTRs (3.7%). Out of the 65 candidate gene based SSR markers selected for validation, 30 were found polymorphic based on initial screening and employed for characterizing genetic diversity in a panel of wheat genotypes including salt tolerant and susceptible lines. These markers generated an average of 2.83 alleles/locus. Phylogenetic analysis revealed four clusters. Salt susceptible genotypes were mainly represented in clusters I and III, whereas high and moderate salt tolerant genotypes were distributed in the remaining two clusters. Population structure analysis revealed two sub-populations, sub-population 1 contained the majority of salt tolerant whereas sub-population 2 contained majority of susceptible genotypes. Moreover, we observed reasonably higher transferability of SSR markers to related wheat species.

CONCLUSION:

We have developed salt responsive gene based SSRs in wheat for the first time. These were highly useful in unravelling functional diversity among wheat genotypes with varying responses to salt stress. The identified gene based SSR markers will be valuable genomic resources for genetic/association mapping of salinity tolerance in wheat.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Variación Genética / Triticum Tipo de estudio: Diagnostic_studies Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Variación Genética / Triticum Tipo de estudio: Diagnostic_studies Idioma: En Año: 2018 Tipo del documento: Article