ReviewSaudi journal of biological sciences2020
Legume genomics and transcriptomics: From classic breeding to modern technologies.
Review in Saudi journal of biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Polyploidy and Mutagenic Germplasm Innovation in Minor Legumes: Paradigm Shift and Challenges from Model Crops to Mung Bean.Plants (Basel, Switzerland) · 2026Review
- Advances in gene editing for legume improvement: technologies, progress, and prospects.Frontiers in genome editing · 2026Review
- Genetic and molecular breeding perspectives on developing abiotic stress tolerant pea (Frontiers in plant science · 2026Review
- Comparative genomic analysis of underutilized legumes: insights into evolutionary relationships, genome evolution and stress tolerance.Biotechnology reports (Amsterdam, Netherlands) · 2025Article
- Single-Cell Omics in Legumes: Research Trends and Applications.Plants (Basel, Switzerland) · 2025Review
- Advancing Chickpea Breeding: Omics Insights for Targeted Abiotic Stress Mitigation and Genetic Enhancement.Biochemical genetics · 2025Review
- Review
- Using WGCNA and transcriptome profiling to identify hub genes for salt stress tolerance in germinating soybean seeds.Frontiers in plant science · 2025Article
- Immune repertoire profiling and T cell dysregulation in Peripheral Blood Mononuclear Cells of Type 2 diabetic patients.PloS one · 2025Article
- Omics-Driven Strategies for Developing Saline-Smart Lentils: A Comprehensive Review.International journal of molecular sciences · 2024Review
- Transcriptomic analysis identifies candidate genes for Aphanomyces root rot disease resistance in pea.BMC plant biology · 2024Article
- Review
- Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean.Frontiers in plant science · 2023Review
- Exploring biomarkers and transcriptional factors in type 2 diabetes by comprehensive bioinformatics analysis on RNA-Seq and scRNA-Seq data.Annals of translational medicine · 2022Article
- Legume Seed Protein Digestibility as Influenced by Traditional and Emerging Physical Processing Technologies.Foods (Basel, Switzerland) · 2022Review
- Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions.Plants (Basel, Switzerland) · 2022Review
- Transcriptome profiling of cashew apples (Anacardium occidentale) genotypes reveals specific genes linked to firmness and color during pseudofruit development.Plant molecular biology · 2022Article
- Recent advancement in OMICS approaches to enhance abiotic stress tolerance in legumes.Frontiers in plant science · 2022Review
- A review of biotechnological approaches towards crop improvement in African yam bean (Heliyon · 2021Review
- Genome-wide identification of AP2/EREBP in Fragaria vesca and expression pattern analysis of the FvDREB subfamily under drought stress.BMC plant biology · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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