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    Not AvailableLimited longevity and accelerated chemical decomposition during storage are major problems found in oilseeds. In the present study the genomic composition of rancidity prone soybean and sunflower are compared with oil seeds with fairly good storability like sesame and olive. The chromosomal location, gene duplications, syntenic relationships, cis-element architecture and protein-protein interactions were studied with respect to 250 genes affecting lipid decomposition like lipases, lipoxygenases and oleosins. The expansion of lipoxygenases and phospholipaseD genes in soybean and sunflower indicate the importance of gene duplication in functional divergence. Moreover the effect of strong purifying selection in lipid decomposition genes was evident in shaping the genomic diversity.Not Availabl

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    Not AvailableSesame (Sesamum indicum L.) is an important oilseed crop cultivated since the ancient past for its healthy and quality oil. However, it is only in the recent past that modern genomic tools have been developed in sesame and deployed in sesame crop improvement. Knowledge of biotechnological tools and techniques developed in sesame in the post-genomics era would help to bridge the long-stagnated yield barrier and relieve the crop from a range of biotic and abiotic stresses. In this context, an attempt has been made to collect, analyze, organize, and present information on biotechnological approaches for sesame crop improvement. Further, in the foreground of the immediate research attention required for sesame crop improvement and the background of works accomplished so far, future perspectives have been discussed. The present chapter is intended to educate stakeholders of sesame research ecosystem: researchers, academicians, scientists, policymakers, research funders, students, etc.ICAR-Indian Institute of Oilseeds Researc

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    Chapter 13 of Training manual “Advances in seafood processing and waste utilization ”Not AvailableNot Availabl

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    Chapter 7 of Training manual “In-plant training under student ready program”Not AvailableNot Availabl

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    Structural analysis of NBS genes revealed the presence of signal peptides, their sub-cellular localization, molecular weight and pI. Eight commonly conserved motifs were found, and NBS genes were unevenly distributed across multiple chromosomes, with the majority of NBS genes being located in chr3 and chr1 of the A and B genomes, respectively. Tandem duplication occurrences have helped bananas' NBS genes spread throughout evolution. Transcriptome analysis of NBS genes revealed significant differences in expression between resistant and susceptible cultivars of fusarium wilt, eumusae leaf spot, root lesion nematode, and drought, implying that they can be used as candidate resistant genes. Ninety miRNAs were discovered to have targets in 104 NBS genes from the A genome, providing important insights into NBS gene expression regulation. Overall, this study offers a valuable genomic resource and understanding of the function and evolution of NBS genes in relation to rapidly evolving pathogens, as well as providing breeders with selection targets for fast-tracking breeding of banana varieties with more durable resistance to pathogens.Banana is an important food crop that is susceptible to a wide range of pests and diseases that can reduce yield and quality. The primary objective of banana breeding programs is to increase disease resistance, which requires the identification of resistance (R) genes. Despite the fact that resistant sources have been identified in bananas, the genes, particularly the nucleotide-binding site (NBS) family, which play an important role in protecting plants against pathogens, have received little attention. As a result, this study included a thorough examination of the NBS disease resistance gene family's classification, phylogenetic analysis, genome organization, evolution, cis-elements, differential expression, regulation by microRNAs, and protein-protein interaction. A total of 116 and 43 putative NBS genes from M. acuminata and M. balbisiana, respectively, were identified and characterized, and were classified into seven sub-families.Not Availabl

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    Chapter 15 of Training manual “In-plant training under student ready program”Not AvailableNot Availabl

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    Chapter 16 of Training manual “In-plant training under student ready program”Not AvailableNot Availabl

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    Chapter 27 of Training manual “In-plant training under student ready program”Not AvailableNot Availabl

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    Chapter 44 of Training manual “In-plant training under student ready program”Not AvailableNot Availabl

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