Legume genomics and transcriptomics: From classic breeding to modern technologies
| Autor: | Nurmansyah, Hussein H. Migdadi, Muhammad Afzal, Shaher Bano Mirza, Muhammad Altaf Khan, Salem S. Alghamdi, Ehab H. El-Harty |
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| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
0301 basic medicine Expressed sequence tag Classical breeding Genomics RNA sequencing Computational biology Biology Quantitative trait locus Legumes 01 natural sciences Genome DNA sequencing Article Structural variation 03 medical and health sciences 030104 developmental biology lcsh:Biology (General) Improvement General Agricultural and Biological Sciences Transcriptome lcsh:QH301-705.5 Functional genomics Genotyping 010606 plant biology & botany |
| Zdroj: | Saudi Journal of Biological Sciences Saudi Journal of Biological Sciences, Vol 27, Iss 1, Pp 543-555 (2020) |
| ISSN: | 1319-562X |
| Popis: | Legumes are essential and play a significant role in maintaining food standards and augmenting physiochemical soil properties through the biological nitrogen fixation process. Biotic and abiotic factors are the main factors limiting legume production. Classical breeding methodologies have been explored extensively about the problem of truncated yield in legumes but have not succeeded at the desired rate. Conventional breeding improved legume genotypes but with more resources and time. Recently, the invention of next-generation sequencing (NGS) and high-throughput methods for genotyping have opened new avenues for research and developments in legume studies. During the last decade, genome sequencing for many legume crops documented. Sequencing and re-sequencing of important legume species have made structural variation and functional genomics conceivable. NGS and other molecular techniques such as the development of markers; genotyping; high density genetic linkage maps; quantitative trait loci (QTLs) identification, expressed sequence tags (ESTs), single nucleotide polymorphisms (SNPs); and transcription factors incorporated into existing breeding technologies have made possible the accurate and accelerated delivery of information for researchers. The application of genome sequencing, RNA sequencing (transcriptome sequencing), and DNA sequencing (re-sequencing) provide considerable insights for legume development and improvement programs.Moreover, RNA-Seq helps to characterize genes, including differentially expressed genes, and can be applied for functional genomics studies, especially when there is limited information available for the studied genomes. Genome-based crop development studies and the availability of genomics data as well as decision-making gears look be specific for breeding programs. This review mainly presents an overview of the path from classical breeding to new emerging genomics tools, which will trigger and accelerate genomics-assisted breeding for recognition of novel genes for yield and quality characters for sustainable legume crop production. Keywords: Legumes, Classical breeding, RNA sequencing, Transcriptome, Improvement |
| Databáze: | OpenAIRE |
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