Literature DB >> 24706065

Identification of quantitative trait loci and candidate genes for specific cellular resistance responses against Didymella pinodes in pea.

E Carrillo1, Z Satovic, G Aubert, K Boucherot, D Rubiales, S Fondevilla.   

Abstract

KEY MESSAGE: Phenotyping of specific cellular resistance responses and improvement of previous genetic map allowed the identification of novel genomic regions controlling cellular mechanisms involved in pea resistance to ascochyta blight and provided candidate genes suitable for MAS. Didymella pinodes, causing ascochyta blight, is a major pathogen of the pea crop and is responsible for serious damage and yield losses. Resistance is inherited polygenically and several quantitative trait loci (QTLs) have been already identified. However, the position of these QTLs should be further refined to identify molecular markers more closely linked to the resistance genes. In previous works, resistance was scored visually estimating the final disease symptoms; in this study, we have conducted a more precise phenotyping of resistance evaluating specific cellular resistance responses at the histological level to perform a more accurate QTL analysis. In addition, P665 × Messire genetic map used to identify the QTLs was improved by adding 117 SNP markers located in genes. This combined approach has allowed the identification, for the first time, of genomic regions controlling cellular mechanisms directly involved in pea resistance to ascochyta blight. Furthermore, the inclusion of the gene-based SNP markers has allowed the identification of candidate genes co-located with QTLs and has provided robust markers for marker-assisted selection.

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Year:  2014        PMID: 24706065     DOI: 10.1007/s00299-014-1603-x

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  33 in total

Review 1.  Estimating the genetic architecture of quantitative traits.

Authors:  Z B Zeng; C H Kao; C J Basten
Journal:  Genet Res       Date:  1999-12       Impact factor: 1.588

2.  H2O2 plays different roles in determining penetration failure in three diverse plant-fungal interactions.

Authors:  Denny G Mellersh; Inge V Foulds; Verna J Higgins; Michele C Heath
Journal:  Plant J       Date:  2002-02       Impact factor: 6.417

3.  Quantitative trait loci for lodging resistance, plant height and partial resistance to mycosphaerella blight in field pea (Pisum sativum L.).

Authors:  B Tar'an; T Warkentin; D J Somers; D Miranda; A Vandenberg; S Blade; S Woods; D Bing; A Xue; D DeKoeyer; G Penner
Journal:  Theor Appl Genet       Date:  2003-08-15       Impact factor: 5.699

4.  Membrane microdomain may be a platform for immune signaling.

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Journal:  Plant Signal Behav       Date:  2012-04-01

5.  Gene-based sequence diversity analysis of field pea (Pisum).

Authors:  Runchun Jing; Richard Johnson; Andrea Seres; Gyorgy Kiss; Mike J Ambrose; Maggie R Knox; T H Noel Ellis; Andrew J Flavell
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

6.  The Sym35 gene required for root nodule development in pea is an ortholog of Nin from Lotus japonicus.

Authors:  Alexey Y Borisov; Lene H Madsen; Viktor E Tsyganov; Yosuke Umehara; Vera A Voroshilova; Arsen O Batagov; Niels Sandal; Anita Mortensen; Leif Schauser; Noel Ellis; Igor A Tikhonovich; Jens Stougaard
Journal:  Plant Physiol       Date:  2003-03       Impact factor: 8.340

7.  Structural implications of mutations in the pea SYM8 symbiosis gene, the DMI1 ortholog, encoding a predicted ion channel.

Authors:  Anne Edwards; Anne B Heckmann; Faridoon Yousafzai; Gerard Duc; J Allan Downie
Journal:  Mol Plant Microbe Interact       Date:  2007-10       Impact factor: 4.171

8.  Global analysis of Arabidopsis gene expression uncovers a complex array of changes impacting pathogen response and cell cycle during geminivirus infection.

Authors:  José Trinidad Ascencio-Ibáñez; Rosangela Sozzani; Tae-Jin Lee; Tzu-Ming Chu; Russell D Wolfinger; Rino Cella; Linda Hanley-Bowdoin
Journal:  Plant Physiol       Date:  2008-07-23       Impact factor: 8.340

9.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

10.  Translational Genomics in Legumes Allowed Placing In Silico 5460 Unigenes on the Pea Functional Map and Identified Candidate Genes in Pisum sativum L.

Authors:  Amandine Bordat; Vincent Savois; Marie Nicolas; Jérome Salse; Aurélie Chauveau; Michael Bourgeois; Jean Potier; Hervé Houtin; Céline Rond; Florent Murat; Pascal Marget; Grégoire Aubert; Judith Burstin
Journal:  G3 (Bethesda)       Date:  2011-07-01       Impact factor: 3.154

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  9 in total

1.  Ascochyta blight disease of pea (Pisum sativum L.): defence-related candidate genes associated with QTL regions and identification of epistatic QTL.

Authors:  Gail M Timmerman-Vaughan; Leire Moya; Tonya J Frew; Sarah R Murray; Ross Crowhurst
Journal:  Theor Appl Genet       Date:  2016-01-22       Impact factor: 5.699

Review 2.  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

Review 3.  Genomics Enabled Breeding Strategies for Major Biotic Stresses in Pea (Pisum sativum L.).

Authors:  Ashok Kumar Parihar; Jitendra Kumar; Debjyoti Sen Gupta; Amrit Lamichaney; Satheesh Naik Sj; Anil K Singh; Girish P Dixit; Sanjeev Gupta; Faruk Toklu
Journal:  Front Plant Sci       Date:  2022-05-18       Impact factor: 6.627

4.  Development of a gene-centered ssr atlas as a resource for papaya (Carica papaya) marker-assisted selection and population genetic studies.

Authors:  Newton Medeiros Vidal; Ana Laura Grazziotin; Helaine Christine Cancela Ramos; Messias Gonzaga Pereira; Thiago Motta Venancio
Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

5.  Fine Mapping of QTLs for Ascochyta Blight Resistance in Pea Using Heterogeneous Inbred Families.

Authors:  Ambuj B Jha; Krishna K Gali; Bunyamin Tar'an; Thomas D Warkentin
Journal:  Front Plant Sci       Date:  2017-05-09       Impact factor: 5.753

6.  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

7.  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 8.  Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes.

Authors:  Uday C Jha; Kamal Dev Sharma; Harsh Nayyar; Swarup K Parida; Kadambot H M Siddique
Journal:  Int J Mol Sci       Date:  2022-02-17       Impact factor: 5.923

9.  Genome-wide association study for morphological traits and resistance to Peryonella pinodes in the USDA pea single plant plus collection.

Authors:  Lais B Martins; Peter Balint-Kurti; S Chris Reberg-Horton
Journal:  G3 (Bethesda)       Date:  2022-08-25       Impact factor: 3.542

  9 in total

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