Literature DB >> 26566824

Genomics-based strategies for the use of natural variation in the improvement of crop metabolism.

Federico Scossa1, Yariv Brotman2, Francisco de Abreu E Lima3, Lothar Willmitzer4, Zoran Nikoloski5, Takayuki Tohge6, Alisdair R Fernie7.   

Abstract

Next-generation genomics holds great potential in the study of plant phenotypic variation. With several crop reference genomes now available, the affordable costs of de novo genome assembly or target resequencing offer the opportunity to mine the enormous amount of genetic diversity hidden in crop wild relatives. Wide introgressions from these wild ancestors species or land races represent a possible strategy to improve cultivated varieties. In this review, we discuss the mechanisms underlying metabolic diversity within plant species and the possible strategies (and barriers) to introgress novel metabolic traits into cultivated varieties. We show how deep genomic surveys uncover various types of structural variants from extended gene pools of major crops and highlight how this variation may be used for the improvement of crop metabolism.
Copyright © 2015. Published by Elsevier Ireland Ltd.

Keywords:  Crop wild relative; Genomics; Hybridization; Metabolomics; Natural variation

Mesh:

Year:  2015        PMID: 26566824     DOI: 10.1016/j.plantsci.2015.05.021

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  20 in total

1.  Integrative Approaches to Enhance Understanding of Plant Metabolic Pathway Structure and Regulation.

Authors:  Takayuki Tohge; Federico Scossa; Alisdair R Fernie
Journal:  Plant Physiol       Date:  2015-09-14       Impact factor: 8.340

2.  Network-Guided GWAS Improves Identification of Genes Affecting Free Amino Acids.

Authors:  Ruthie Angelovici; Albert Batushansky; Nicholas Deason; Sabrina Gonzalez-Jorge; Michael A Gore; Aaron Fait; Dean DellaPenna
Journal:  Plant Physiol       Date:  2016-11-21       Impact factor: 8.340

3.  Preparation and Curation of Omics Data for Genome-Wide Association Studies.

Authors:  Feng Zhu; Alisdair R Fernie; Federico Scossa
Journal:  Methods Mol Biol       Date:  2022

4.  A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species.

Authors:  Erica A Di Pierro; Luca Gianfranceschi; Mario Di Guardo; Herma Jj Koehorst-van Putten; Johannes W Kruisselbrink; Sara Longhi; Michela Troggio; Luca Bianco; Hélène Muranty; Giulia Pagliarani; Stefano Tartarini; Thomas Letschka; Lidia Lozano Luis; Larisa Garkava-Gustavsson; Diego Micheletti; Marco Cam Bink; Roeland E Voorrips; Ebrahimi Aziz; Riccardo Velasco; François Laurens; W Eric van de Weg
Journal:  Hortic Res       Date:  2016-11-23       Impact factor: 6.793

Review 5.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04

6.  Correlation-Based Network Analysis of Metabolite and Enzyme Profiles Reveals a Role of Citrate Biosynthesis in Modulating N and C Metabolism in Zea mays.

Authors:  David Toubiana; Wentao Xue; Nengyi Zhang; Karl Kremling; Amit Gur; Shai Pilosof; Yves Gibon; Mark Stitt; Edward S Buckler; Alisdair R Fernie; Aaron Fait
Journal:  Front Plant Sci       Date:  2016-07-12       Impact factor: 5.753

Review 7.  A Belated Green Revolution for Cannabis: Virtual Genetic Resources to Fast-Track Cultivar Development.

Authors:  Matthew T Welling; Tim Shapter; Terry J Rose; Lei Liu; Rhia Stanger; Graham J King
Journal:  Front Plant Sci       Date:  2016-07-29       Impact factor: 5.753

Review 8.  Plant Metabolomics: An Indispensable System Biology Tool for Plant Science.

Authors:  Jun Hong; Litao Yang; Dabing Zhang; Jianxin Shi
Journal:  Int J Mol Sci       Date:  2016-06-01       Impact factor: 5.923

9.  Differentially evolved glucosyltransferases determine natural variation of rice flavone accumulation and UV-tolerance.

Authors:  Meng Peng; Raheel Shahzad; Ambreen Gul; Hizar Subthain; Shuangqian Shen; Long Lei; Zhigang Zheng; Junjie Zhou; Dandan Lu; Shouchuang Wang; Elsayed Nishawy; Xianqing Liu; Takayuki Tohge; Alisdair R Fernie; Jie Luo
Journal:  Nat Commun       Date:  2017-12-07       Impact factor: 14.919

10.  Ageratum enation virus Infection Induces Programmed Cell Death and Alters Metabolite Biosynthesis in Papaver somniferum.

Authors:  Ashish Srivastava; Lalit Agrawal; Rashmi Raj; Meraj Jaidi; Shri K Raj; Swati Gupta; Ritu Dixit; Poonam C Singh; Tusha Tripathi; Om P Sidhu; Brahma N Singh; Sudhir Shukla; Puneet S Chauhan; Susheel Kumar
Journal:  Front Plant Sci       Date:  2017-07-06       Impact factor: 5.753

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