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MOLECULAR ANALYSIS FOR MICRONUTRIENTS IN COMMON BEAN (Phaseolus vulgaris L.)

KrishiKosh

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Title MOLECULAR ANALYSIS FOR MICRONUTRIENTS IN COMMON BEAN (Phaseolus vulgaris L.)
 
Creator Mahajan, Reetika
 
Contributor Salgotra, R.K.
 
Subject PHASEOLUS VULGARIS L., SSR MARKERS, POPULATION STRUCTURE, ASSOCIATION MAPPING, PROTEOMICS, MALDI-TOF, FE AND ZN.
 
Description Ph.D Thesis
Common bean (Phaseolus vulgaris L.) is a widely cultivated species of Leguminosae family with an indubitable nutritional and medicinal value. Common bean is the world’s first most important pulse crop. It acts as a great source of proteins, fibre, carbohydrates, minerals (Fe and Zn), and essential vitamins (such as biotin, vitamin A) which make it a potential staple food to overcome the problem of hunger. Current common bean breeding programs are primary directed towards high yield, biotic and abiotic stress resilience that has increased global production, but less attention has been directed toward improving micronutrient concentrations in seeds.
The present study was conducted during the years 2013 and 2014 at School of Biotechnology, SKUAST-J, Chatha to carry out the phenotypic and genotypic evaluation of common bean genotype and to identify marker-trait associated with mineral (Fe and Zn) content. The proteomic study was carried out during the year 2015 at National Research Center for Plant Biotechnology, Pusa, New Delhi. The material used in the study comprised of 138 common bean genotypes. A total of 74 genomic and genic SSR markers were used in this study. Out of these, 23 SSR markers were used for identification of core set. However, a total of 55 SSR markers were further used for association mapping of Fe and Zn content. Diversity study was done by using software DARwin5. Core set for association study was identified by using software Core Hunter II. Population structure analysis was carried out using software STRUCTURE (version 2.3.4). Marker-trait association analysis was carried out by using software TASSEL 3.0. Protein responsive for Fe and Zn were identified by using MALDI-TOF.
In this study, SSRs were found highly polymorphic and possessed high values for various parameters indicating their high discriminatory power. The dendrogram generated with un-weighted neighbour joining cluster analysis grouped genotypes into three main clusters with various degrees of sub clustering within the clusters. The model-based STRUCTURE analysis using 23 SSR markers identified a population with 3 sub-populations which corresponds to distance based groupings with average FST value and expected heterozygosity of 0.1497 and 0.6696 respectively within the sub population. As such high level of genetic diversity was observed within the population. Further, core set of 96 diverse genotypes was identified. This core set of diverse 96 genotypes is a potential resource for association mapping studies and was used for association studies. In an effort to develop micronutrient-dense common bean lines, a study to examine the variability and to identify SSR markers associated with seed iron and zinc concentrations was conducted using 96 diverse accessions of common bean. The results indicated that there is substantial variability present in common bean germplasm for seed Fe and Zn concentrations. In the current set of germplasm, weak positive but non-significant correlation was found among the Fe and Zn content in the seeds. A total of 12 SSR markers were identified which associate with Fe and Zn. The seven SSR markers associated with Fe were located on chr 2, 5, 6, 7, 9 and 10 whereas five SSRs associated with Zn were located on chr 1,2,3,5 and 7. Further, proteomics investigation was done to reveal expression changes in proteins due to Fe and Zn deficiency and excess respectively. A total of 419 proteins were found out of which 66 were either up regulated or down regulated.
The finding from this study will help in developing new and improved varieties of common bean. The identified 12 SSRs marker-trait associations can be validated and it will be used for identification of genes/QTLs regulating the Fe and Zn traits and eventually for marker-assisted genetic enhancement of common bean. The identified proteins can be candidate proteins for improving Fe and Zn accumulations and will help in better understanding of biology behind this trait.
 
Date 2016-10-25T15:50:43Z
2016-10-25T15:50:43Z
2016
 
Type Thesis
 
Identifier J-12-D-03-Biot
http://krishikosh.egranth.ac.in/handle/1/81911
 
Language en
 
Format application/pdf
 
Publisher School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu