Literature DB >> 26590015

Development of two major resources for pea genomics: the GenoPea 13.2K SNP Array and a high-density, high-resolution consensus genetic map.

Nadim Tayeh1, Christelle Aluome2, Matthieu Falque3, Françoise Jacquin1, Anthony Klein1, Aurélie Chauveau2, Aurélie Bérard2, Hervé Houtin1, Céline Rond1, Jonathan Kreplak1, Karen Boucherot1, Chantal Martin1, Alain Baranger4, Marie-Laure Pilet-Nayel4, Thomas D Warkentin5, Dominique Brunel2, Pascal Marget1, Marie-Christine Le Paslier2, Grégoire Aubert1, Judith Burstin1.   

Abstract

Single nucleotide polymorphism (SNP) arrays represent important genotyping tools for innovative strategies in both basic research and applied breeding. Pea is an important food, feed and sustainable crop with a large (about 4.45 Gbp) but not yet available genome sequence. In the present study, 12 pea recombinant inbred line populations were genotyped using the newly developed GenoPea 13.2K SNP Array. Individual and consensus genetic maps were built providing insights into the structure and organization of the pea genome. Largely collinear genetic maps of 3918-8503 SNPs were obtained from all mapping populations, and only two of these exhibited putative chromosomal rearrangement signatures. Similar distortion patterns in different populations were noted. A total of 12 802 transcript-derived SNP markers placed on a 15 079-marker high-density, high-resolution consensus map allowed the identification of ohnologue-rich regions within the pea genome and the localization of local duplicates. Dense syntenic networks with sequenced legume genomes were further established, paving the way for the identification of the molecular bases of important agronomic traits segregating in the mapping populations. The information gained on the structure and organization of the genome from this research will undoubtedly contribute to the understanding of the evolution of the pea genome and to its assembly. The GenoPea 13.2K SNP Array and individual and consensus genetic maps are valuable genomic tools for plant scientists to strengthen pea as a model for genetics and physiology and enhance breeding.
© 2015 The Authors The Plant Journal © 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  GenoPea 13.2K SNP Array; consensus genetic map; duplication; genome structure and organization; pea (Pisum sativum L.); recombinant inbred lines; single nucleotide polymorphism; synteny

Mesh:

Substances:

Year:  2015        PMID: 26590015     DOI: 10.1111/tpj.13070

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  41 in total

Review 1.  Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).

Authors:  Arun K Pandey; Diego Rubiales; Yonggang Wang; Pingping Fang; Ting Sun; Na Liu; Pei Xu
Journal:  Theor Appl Genet       Date:  2021-01-12       Impact factor: 5.699

2.  Linking Auxin with Photosynthetic Rate via Leaf Venation.

Authors:  Scott A M McAdam; Morgane P Eléouët; Melanie Best; Timothy J Brodribb; Madeline Carins Murphy; Sam D Cook; Marion Dalmais; Theodore Dimitriou; Ariane Gélinas-Marion; Warwick M Gill; Matthew Hegarty; Julie M I Hofer; Mary Maconochie; Erin L McAdam; Peter McGuiness; David S Nichols; John J Ross; Frances C Sussmilch; Shelley Urquhart
Journal:  Plant Physiol       Date:  2017-07-21       Impact factor: 8.340

3.  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

4.  A reference genome for pea provides insight into legume genome evolution.

Authors:  Jonathan Kreplak; Mohammed-Amin Madoui; Petr Cápal; Petr Novák; Karine Labadie; Grégoire Aubert; Philipp E Bayer; Krishna K Gali; Robert A Syme; Dorrie Main; Anthony Klein; Aurélie Bérard; Iva Vrbová; Cyril Fournier; Leo d'Agata; Caroline Belser; Wahiba Berrabah; Helena Toegelová; Zbyněk Milec; Jan Vrána; HueyTyng Lee; Ayité Kougbeadjo; Morgane Térézol; Cécile Huneau; Chala J Turo; Nacer Mohellibi; Pavel Neumann; Matthieu Falque; Karine Gallardo; Rebecca McGee; Bunyamin Tar'an; Abdelhafid Bendahmane; Jean-Marc Aury; Jacqueline Batley; Marie-Christine Le Paslier; Noel Ellis; Thomas D Warkentin; Clarice J Coyne; Jérome Salse; David Edwards; Judith Lichtenzveig; Jiří Macas; Jaroslav Doležel; Patrick Wincker; Judith Burstin
Journal:  Nat Genet       Date:  2019-09-02       Impact factor: 38.330

5.  The genetic architecture of flowering time changes in pea from wild to crop.

Authors:  Owen Williams; Jacqueline K Vander Schoor; Jakob B Butler; Stephen Ridge; Frances C Sussmilch; Valerie F G Hecht; James L Weller
Journal:  J Exp Bot       Date:  2022-06-24       Impact factor: 7.298

6.  Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea.

Authors:  Aurore Desgroux; Virginie L'Anthoëne; Martine Roux-Duparque; Jean-Philippe Rivière; Grégoire Aubert; Nadim Tayeh; Anne Moussart; Pierre Mangin; Pierrick Vetel; Christophe Piriou; Rebecca J McGee; Clarice J Coyne; Judith Burstin; Alain Baranger; Maria Manzanares-Dauleux; Virginie Bourion; Marie-Laure Pilet-Nayel
Journal:  BMC Genomics       Date:  2016-02-20       Impact factor: 3.969

7.  Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing.

Authors:  Chenyu Wang; Rong Liu; Yujiao Liu; Wanwei Hou; Xuejun Wang; Yamei Miao; Yuhua He; Yu Ma; Guan Li; Dong Wang; Yishan Ji; Hongyan Zhang; Mengwei Li; Xin Yan; Xuxiao Zong; Tao Yang
Journal:  Theor Appl Genet       Date:  2021-06-12       Impact factor: 5.699

8.  Mapping QTL associated with partial resistance to Aphanomyces root rot in pea (Pisum sativum L.) using a 13.2 K SNP array and SSR markers.

Authors:  Longfei Wu; Rudolph Fredua-Agyeman; Sheau-Fang Hwang; Kan-Fa Chang; Robert L Conner; Debra L McLaren; Stephen E Strelkov
Journal:  Theor Appl Genet       Date:  2021-06-15       Impact factor: 5.699

9.  Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy.

Authors:  Nadim Tayeh; Anthony Klein; Marie-Christine Le Paslier; Françoise Jacquin; Hervé Houtin; Céline Rond; Marianne Chabert-Martinello; Jean-Bernard Magnin-Robert; Pascal Marget; Grégoire Aubert; Judith Burstin
Journal:  Front Plant Sci       Date:  2015-11-17       Impact factor: 5.753

Review 10.  Genomic Tools in Pea Breeding Programs: Status and Perspectives.

Authors:  Nadim Tayeh; Grégoire Aubert; Marie-Laure Pilet-Nayel; Isabelle Lejeune-Hénaut; Thomas D Warkentin; Judith Burstin
Journal:  Front Plant Sci       Date:  2015-11-27       Impact factor: 5.753

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