Literature DB >> 33433637

Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).

Arun K Pandey1, Diego Rubiales2, Yonggang Wang1, Pingping Fang1, Ting Sun1, Na Liu3, Pei Xu4.   

Abstract

Pea (Pisum sativum L.), a cool-season legume crop grown in more than 85 countries, is the second most important grain legume and one of the major green vegetables in the world. While pea was historically studied as the genetic model leading to the discovery of the laws of genetics, pea research has lagged behind that of other major legumes in the genomics era, due to its large and complex genome. The evolving climate change and growing population have posed grand challenges to the objective of feeding the world, making it essential to invest research efforts to develop multi-omics resources and advanced breeding tools to support fast and continuous development of improved pea varieties. Recently, the pea researchers have achieved key milestones in omics and molecular breeding. The present review provides an overview of the recent important progress including the development of genetic resource databases, high-throughput genotyping assays, reference genome, genes/QTLs responsible for important traits, transcriptomic, proteomic, and phenomic atlases of various tissues under different conditions. These multi-faceted resources have enabled the successful implementation of various markers for monitoring early-generation populations as in marker-assisted backcrossing breeding programs. The emerging new breeding approaches such as CRISPR, speed breeding, and genomic selection are starting to change the paradigm of pea breeding. Collectively, the rich omics resources and omics-enable breeding approaches will enhance genetic gain in pea breeding and accelerate the release of novel pea varieties to meet the elevating demands on productivity and quality.

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Year:  2021        PMID: 33433637     DOI: 10.1007/s00122-020-03751-5

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  109 in total

1.  Full-length de novo assembly of RNA-seq data in pea (Pisum sativum L.) provides a gene expression atlas and gives insights into root nodulation in this species.

Authors:  Susete Alves-Carvalho; Grégoire Aubert; Sébastien Carrère; Corinne Cruaud; Anne-Lise Brochot; Françoise Jacquin; Anthony Klein; Chantal Martin; Karen Boucherot; Jonathan Kreplak; Corinne da Silva; Sandra Moreau; Pascal Gamas; Patrick Wincker; Jérôme Gouzy; Judith Burstin
Journal:  Plant J       Date:  2015-10       Impact factor: 6.417

2.  GyDB mobilomics: LTR retroelements and integrase-related transposons of the pea aphid Acyrthosiphon pisum genome.

Authors:  Guillermo P Bernet; Alfonso Muñoz-Pomer; Laura Domínguez-Escribá; Laura Covelli; Lucía Bernad; Sukanya Ramasamy; Ricardo Futami; Jose M Sempere; Andrés Moya; Carlos Llorens
Journal:  Mob Genet Elements       Date:  2011-07-01

3.  Functional mapping in pea, as an aid to the candidate gene selection and for investigating synteny with the model legume Medicago truncatula.

Authors:  G Aubert; J Morin; F Jacquin; K Loridon; M C Quillet; A Petit; C Rameau; I Lejeune-Hénaut; T Huguet; J Burstin
Journal:  Theor Appl Genet       Date:  2006-01-14       Impact factor: 5.699

Review 4.  New breeding technique "genome editing" for crop improvement: applications, potentials and challenges.

Authors:  Supriya B Aglawe; Kalyani M Barbadikar; Satendra K Mangrauthia; M Sheshu Madhav
Journal:  3 Biotech       Date:  2018-07-23       Impact factor: 2.406

5.  Identification of potential candidate genes controlling pea aphid tolerance in a Pisum fulvum high-density integrated DArTseq SNP-based genetic map.

Authors:  Eleonora Barilli; Estefanía Carrillo-Perdomo; Maria José Cobos; Andrzej Kilian; Jason Carling; Diego Rubiales
Journal:  Pest Manag Sci       Date:  2020-01-08       Impact factor: 4.845

6.  Genotyping-by-Sequencing and Its Exploitation for Forage and Cool-Season Grain Legume Breeding.

Authors:  Paolo Annicchiarico; Nelson Nazzicari; Yanling Wei; Luciano Pecetti; Edward C Brummer
Journal:  Front Plant Sci       Date:  2017-05-09       Impact factor: 5.753

7.  A High-Density Integrated DArTseq SNP-Based Genetic Map of Pisum fulvum and Identification of QTLs Controlling Rust Resistance.

Authors:  Eleonora Barilli; María J Cobos; Estefanía Carrillo; Andrzej Kilian; Jason Carling; Diego Rubiales
Journal:  Front Plant Sci       Date:  2018-02-15       Impact factor: 5.753

8.  Physical and Chemical Barriers in Root Tissues Contribute to Quantitative Resistance to Fusarium oxysporum f. sp. pisi in Pea.

Authors:  Moustafa Bani; Alejandro Pérez-De-Luque; Diego Rubiales; Nicolas Rispail
Journal:  Front Plant Sci       Date:  2018-02-19       Impact factor: 5.753

9.  Identification of quantitative trait loci (QTL) controlling resistance to pea weevil (Bruchus pisorum) in a high-density integrated DArTseq SNP-based genetic map of pea.

Authors:  Thais Aznar-Fernández; Eleonora Barilli; María J Cobos; Andrzej Kilian; Jason Carling; Diego Rubiales
Journal:  Sci Rep       Date:  2020-01-08       Impact factor: 4.379

Review 10.  Translating High-Throughput Phenotyping into Genetic Gain.

Authors:  José Luis Araus; Shawn C Kefauver; Mainassara Zaman-Allah; Mike S Olsen; Jill E Cairns
Journal:  Trends Plant Sci       Date:  2018-03-16       Impact factor: 18.313

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  9 in total

1.  Combining NDVI and Bacterial Blight Score to Predict Grain Yield in Field Pea.

Authors:  Huanhuan Zhao; Babu R Pandey; Majid Khansefid; Hossein V Khahrood; Shimna Sudheesh; Sameer Joshi; Surya Kant; Sukhjiwan Kaur; Garry M Rosewarne
Journal:  Front Plant Sci       Date:  2022-06-28       Impact factor: 6.627

Review 2.  Gene-Editing Technologies and Applications in Legumes: Progress, Evolution, and Future Prospects.

Authors:  Mehmet Cengiz Baloglu; Yasemin Celik Altunoglu; Pinar Baloglu; Ali Burak Yildiz; Nil Türkölmez; Yelda Özden Çiftçi
Journal:  Front Genet       Date:  2022-06-28       Impact factor: 4.772

Review 3.  Chile Pepper (Capsicum) Breeding and Improvement in the "Multi-Omics" Era.

Authors:  Dennis N Lozada; Paul W Bosland; Derek W Barchenger; Mahdi Haghshenas-Jaryani; Soumaila Sanogo; Stephanie Walker
Journal:  Front Plant Sci       Date:  2022-05-03       Impact factor: 6.627

4.  Optimized methods for random and targeted mutagenesis in field pea (Pisum sativum L.).

Authors:  Prashant Kumar Pandey; Pankaj Bhowmik; Sateesh Kagale
Journal:  Front Plant Sci       Date:  2022-09-08       Impact factor: 6.627

5.  Disease Resistance and Molecular Variations in Irradiation Induced Mutants of Two Pea Cultivars.

Authors:  Dong Deng; Suli Sun; Wenqi Wu; Chao Xiang; Canxing Duan; Dongmei Yu; Xuehong Wu; Zhendong Zhu
Journal:  Int J Mol Sci       Date:  2022-08-08       Impact factor: 6.208

Review 6.  Pea Breeding for Resistance to Rhizospheric Pathogens.

Authors:  Osman Z Wohor; Nicolas Rispail; Chris O Ojiewo; Diego Rubiales
Journal:  Plants (Basel)       Date:  2022-10-10

Review 7.  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

8.  A variable gene family encoding nodule-specific cysteine-rich peptides in pea (Pisum sativum L.).

Authors:  Evgeny A Zorin; Marina S Kliukova; Alexey M Afonin; Emma S Gribchenko; Mikhail L Gordon; Anton S Sulima; Aleksandr I Zhernakov; Olga A Kulaeva; Daria A Romanyuk; Pyotr G Kusakin; Anna V Tsyganova; Viktor E Tsyganov; Igor A Tikhonovich; Vladimir A Zhukov
Journal:  Front Plant Sci       Date:  2022-09-14       Impact factor: 6.627

9.  Improved pea reference genome and pan-genome highlight genomic features and evolutionary characteristics.

Authors:  Tao Yang; Rong Liu; Yingfeng Luo; Songnian Hu; Dong Wang; Chenyu Wang; Manish K Pandey; Song Ge; Quanle Xu; Nana Li; Guan Li; Yuning Huang; Rachit K Saxena; Yishan Ji; Mengwei Li; Xin Yan; Yuhua He; Yujiao Liu; Xuejun Wang; Chao Xiang; Rajeev K Varshney; Hanfeng Ding; Shenghan Gao; Xuxiao Zong
Journal:  Nat Genet       Date:  2022-09-22       Impact factor: 41.307

  9 in total

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