ReviewAnnals of botany2014
Legume genomics: understanding biology through DNA and RNA sequencing.
Review in Annals of botany, 2014. 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.
- Unraveling the drought-responsive transcriptomes in nodules of two common bean genotypes during biological nitrogen fixation.Frontiers in plant science · 2024Article
- Lipid Metabolism and Improvement in Oilseed Crops: Recent Advances in Multi-Omics Studies.Metabolites · 2023Review
- Multi-Omics Techniques for Soybean Molecular Breeding.International journal of molecular sciences · 2022Review
- Transcriptome analysis of Auricularia fibrillifera fruit-body responses to drought stress and rehydration.BMC genomics · 2022Article
- Phenolic Acids Induce Nod Factor Production in Lotus japonicus-Mesorhizobium Symbiosis.Microbes and environments · 2022Article
- Comparative transcriptome analysis during seeds development between two soybean cultivars.PeerJ · 2021Article
- Transcriptome profiling of raspberry (Heliyon · 2020Article
- DiCoExpress: a tool to process multifactorial RNAseq experiments from quality controls to co-expression analysis through differential analysis based on contrasts inside GLM models.Plant methods · 2020Article
- Legume genomics and transcriptomics: From classic breeding to modern technologies.Saudi journal of biological sciences · 2020Review
- Comparative transcriptomic analysis of high- and low-oil3 Biotech · 2019Article
- Grain Legumes and Fear of Salt Stress: Focus on Mechanisms and Management Strategies.International journal of molecular sciences · 2019Review
- Unanticipated benefits and potential ecological costs associated with pyramiding leafhopper resistance loci in rice.Crop protection (Guildford, Surrey) · 2019Article
- KnowPulse: A Web-Resource Focused on Diversity Data for Pulse Crop Improvement.Frontiers in plant science · 2019Article
- Study on differentially expressed genes related to defoliation traits in two alfalfa varieties based on RNA-Seq.BMC genomics · 2018Article
- Inoculation with Efficient Nitrogen Fixing and Indoleacetic Acid Producing Bacterial Microsymbiont Enhance Tolerance of the Model LegumeBioMed research international · 2018Article
- Integration of omics approaches to understand oil/protein content during seed development in oilseed crops.Plant cell reports · 2017Review
- Enhancing faba bean (Vicia faba L.) genome resources.Journal of experimental botany · 2017Article
- Expression and Functional Analysis of a Novel Group of Legume-specific WRKY and Exo70 Protein Variants from Soybean.Scientific reports · 2016Article
- Molecular phylogeny and dynamic evolution of disease resistance genes in the legume family.BMC genomics · 2016Article
- Transcriptome analyses reveal genotype- and developmental stage-specific molecular responses to drought and salinity stresses in chickpea.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe legume family (Leguminosae) consists of approx. 17 000 species. A few of these species, including, but not limited to, Phaseolus vulgaris, Cicer arietinum and Cajanus cajan, are important dietary components, providing protein for approx. 300 million people worldwide. Additional species, including soybean (Glycine max) and alfalfa (Medicago sativa), are important crops utilized mainly in animal feed. In addition, legumes are important contributors to biological nitrogen, forming symbiotic relationships with rhizobia to fix atmospheric N2 and providing up to 30 % of available nitrogen for the next season of crops. The application of high-throughput genomic technologies including genome sequencing projects, genome re-sequencing (DNA-seq) and transcriptome sequencing (RNA-seq) by the legume research community has provided major insights into genome evolution, genomic architecture and domestication. SCOPE AND
conclusionsThis review presents an overview of the current state of legume genomics and explores the role that next-generation sequencing technologies play in advancing legume genomics. The adoption of next-generation sequencing and implementation of associated bioinformatic tools has allowed researchers to turn each species of interest into their own model organism. To illustrate the power of next-generation sequencing, an in-depth overview of the transcriptomes of both soybean and white lupin (Lupinus albus) is provided. The soybean transcriptome focuses on analysing seed development in two near-isogenic lines, examining the role of transporters, oil biosynthesis and nitrogen utilization. The white lupin transcriptome analysis examines how phosphate deficiency alters gene expression patterns, inducing the formation of cluster roots. Such studies illustrate the power of next-generation sequencing and bioinformatic analyses in elucidating the gene networks underlying biological processes.
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