Literature DB >> 33166388

LegumeIP V3: from models to crops-an integrative gene discovery platform for translational genomics in legumes.

Xinbin Dai1, Zhaohong Zhuang1, Clarissa Boschiero1, Yibo Dong1, Patrick X Zhao1.   

Abstract

Legumes have contributed to human health, sustainable food and feed production worldwide for centuries. The study of model legumes has played vital roles in deciphering key genes, pathways, and networks regulating biological mechanisms and agronomic traits. Along with emerging breeding technology such as genome editing, translation of the knowledge gained from model plants to crops is in high demand. The updated database (V3) was redesigned for translational genomics targeting the discovery of novel key genes in less-studied non-model legume crops by referring to the knowledge gained in model legumes. The database contains genomic data for all 22 included species, and transcriptomic data covering thousands of RNA-seq samples mostly from model species. The rich biological data and analytic tools for gene expression and pathway analyses can be used to decipher critical genes, pathways, and networks in model legumes. The integrated comparative genomic functions further facilitate the translation of this knowledge to legume crops. Therefore, the database will be a valuable resource to identify important genes regulating specific biological mechanisms or agronomic traits in the non-model yet economically significant legume crops. LegumeIP V3 is available free to the public at https://plantgrn.noble.org/LegumeIP. Access to the database does not require login, registration, or password.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2020        PMID: 33166388     DOI: 10.1093/nar/gkaa976

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  7 in total

Review 1.  Genetic and Genomic Resources for Soybean Breeding Research.

Authors:  Jakob Petereit; Jacob I Marsh; Philipp E Bayer; Monica F Danilevicz; William J W Thomas; Jacqueline Batley; David Edwards
Journal:  Plants (Basel)       Date:  2022-04-27

2.  The 2021 Nucleic Acids Research database issue and the online molecular biology database collection.

Authors:  Daniel J Rigden; Xosé M Fernández
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

3.  The CRISPR/Cas9-Mediated Modulation of SQUAMOSA PROMOTER-BINDING PROTEIN-LIKE 8 in Alfalfa Leads to Distinct Phenotypic Outcomes.

Authors:  Stacy D Singer; Kimberley Burton Hughes; Udaya Subedi; Gaganpreet Kaur Dhariwal; Kazi Kader; Surya Acharya; Guanqun Chen; Abdelali Hannoufa
Journal:  Front Plant Sci       Date:  2022-01-05       Impact factor: 5.753

4.  Computational Systems Biology of Alfalfa - Bacterial Blight Host-Pathogen Interactions: Uncovering the Complex Molecular Networks for Developing Durable Disease Resistant Crop.

Authors:  Raghav Kataria; Naveen Duhan; Rakesh Kaundal
Journal:  Front Plant Sci       Date:  2022-02-17       Impact factor: 5.753

5.  Genome-Wide Identification of Histone Modification Gene Families in the Model Legume Medicago truncatula and Their Expression Analysis in Nodules.

Authors:  Loredana Lopez; Giorgio Perrella; Ornella Calderini; Andrea Porceddu; Francesco Panara
Journal:  Plants (Basel)       Date:  2022-01-26

Review 6.  Recent advancement in OMICS approaches to enhance abiotic stress tolerance in legumes.

Authors:  Amjad Ali; Muhammad Tanveer Altaf; Muhammad Azhar Nadeem; Tolga Karaköy; Adnan Noor Shah; Hajra Azeem; Faheem Shehzad Baloch; Nurettin Baran; Tajamul Hussain; Saowapa Duangpan; Muhammad Aasim; Kyung-Hwan Boo; Nader R Abdelsalam; Mohamed E Hasan; Yong Suk Chung
Journal:  Front Plant Sci       Date:  2022-09-28       Impact factor: 6.627

7.  Application of Synthetic Peptide CEP1 Increases Nutrient Uptake Rates Along Plant Roots.

Authors:  Sonali Roy; Marcus Griffiths; Ivone Torres-Jerez; Bailey Sanchez; Elizabeth Antonelli; Divya Jain; Nicholas Krom; Shulan Zhang; Larry M York; Wolf-Rüdiger Scheible; Michael Udvardi
Journal:  Front Plant Sci       Date:  2022-01-03       Impact factor: 5.753

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.