Association and linkage mapping to unravel genetic architecture of phenological traits and lateral bearing in Persian walnut (Juglans regia L.).


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
04 Mar 2020
Historique:
received: 29 11 2019
accepted: 24 02 2020
entrez: 6 3 2020
pubmed: 7 3 2020
medline: 23 10 2020
Statut: epublish

Résumé

Unravelling the genetic architecture of agronomic traits in walnut such as budbreak date and bearing habit, is crucial for climate change adaptation and yield improvement. A Genome-Wide Association Study (GWAS) using multi-locus models was conducted in a panel of 170 walnut accessions genotyped using the Axiom™ J. regia 700 K SNP array, with phenological data from 2018, 2019 and legacy data. These accessions come from the INRAE walnut germplasm collection which is the result of important prospecting work performed in many countries around the world. In parallel, an F Using GWAS, we found strong associations of SNPs located at the beginning of chromosome 1 with both budbreak and female flowering dates. These findings were supported by QTLs detected in the same genomic region. Highly significant associated SNPs were also detected using GWAS for heterodichogamy and lateral bearing habit, both on chromosome 11. We developed a Kompetitive Allele Specific PCR (KASP) marker for budbreak date in walnut, and validated it using plant material from the Walnut Improvement Program of the University of California, Davis, demonstrating its effectiveness for marker-assisted selection in Persian walnut. We found several candidate genes involved in flowering events in walnut, including a gene related to heterodichogamy encoding a sugar catabolism enzyme and a cell division related gene linked to female flowering date. This study enhances knowledge of the genetic architecture of important agronomic traits related to male and female flowering processes and lateral bearing in walnut. The new marker available for budbreak date, one of the most important traits for good fruiting, will facilitate the selection and development of new walnut cultivars suitable for specific climates.

Sections du résumé

BACKGROUND BACKGROUND
Unravelling the genetic architecture of agronomic traits in walnut such as budbreak date and bearing habit, is crucial for climate change adaptation and yield improvement. A Genome-Wide Association Study (GWAS) using multi-locus models was conducted in a panel of 170 walnut accessions genotyped using the Axiom™ J. regia 700 K SNP array, with phenological data from 2018, 2019 and legacy data. These accessions come from the INRAE walnut germplasm collection which is the result of important prospecting work performed in many countries around the world. In parallel, an F
RESULTS RESULTS
Using GWAS, we found strong associations of SNPs located at the beginning of chromosome 1 with both budbreak and female flowering dates. These findings were supported by QTLs detected in the same genomic region. Highly significant associated SNPs were also detected using GWAS for heterodichogamy and lateral bearing habit, both on chromosome 11. We developed a Kompetitive Allele Specific PCR (KASP) marker for budbreak date in walnut, and validated it using plant material from the Walnut Improvement Program of the University of California, Davis, demonstrating its effectiveness for marker-assisted selection in Persian walnut. We found several candidate genes involved in flowering events in walnut, including a gene related to heterodichogamy encoding a sugar catabolism enzyme and a cell division related gene linked to female flowering date.
CONCLUSIONS CONCLUSIONS
This study enhances knowledge of the genetic architecture of important agronomic traits related to male and female flowering processes and lateral bearing in walnut. The new marker available for budbreak date, one of the most important traits for good fruiting, will facilitate the selection and development of new walnut cultivars suitable for specific climates.

Identifiants

pubmed: 32131731
doi: 10.1186/s12864-020-6616-y
pii: 10.1186/s12864-020-6616-y
pmc: PMC7057608
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

203

Subventions

Organisme : Région Nouvelle-Aquitaine
ID : Projet INNOV'noyer
Organisme : Cifre
ID : 2016/1558

Références

Front Plant Sci. 2011 Nov 04;2:70
pubmed: 22639606
PLoS One. 2018 Nov 27;13(11):e0208021
pubmed: 30481202
Mol Ecol. 2005 Jul;14(8):2611-20
pubmed: 15969739
Sci Rep. 2016 Jan 20;6:19444
pubmed: 26787347
Nat Genet. 2012 Jun 17;44(7):825-30
pubmed: 22706313
Genome. 2009 Oct;52(10):819-28
pubmed: 19935906
J Exp Bot. 2020 Jan 23;71(3):1107-1127
pubmed: 31639822
Sci Rep. 2019 Apr 23;9(1):6376
pubmed: 31015545
Front Plant Sci. 2019 Feb 11;10:100
pubmed: 30804969
Plant Biotechnol J. 2019 Jun;17(6):1027-1036
pubmed: 30515952
Plant Cell. 1999 May;11(5):949-56
pubmed: 10330478
Genetics. 1999 Jul;152(3):1203-16
pubmed: 10388834
Bioinformatics. 2012 Dec 15;28(24):3326-8
pubmed: 23060615
Front Plant Sci. 2015 Apr 28;6:259
pubmed: 25972877
Gigascience. 2020 May 1;9(5):
pubmed: 32432329
Int J Mol Sci. 2019 May 01;20(9):
pubmed: 31052421
Science. 2002 Jun 21;296(5576):2225-9
pubmed: 12029063
BMC Res Notes. 2019 Oct 17;12(1):662
pubmed: 31623654
Heredity (Edinb). 2012 Nov;109(5):280-92
pubmed: 22828898
Int J Biometeorol. 2018 Nov;62(11):2007-2013
pubmed: 30209614
PLoS One. 2015 Nov 20;10(11):e0143250
pubmed: 26587668
Int J Biometeorol. 2011 Nov;55(6):763-74
pubmed: 21805380
Bioinformatics. 2012 Sep 15;28(18):2397-9
pubmed: 22796960
Plant J. 2016 Sep;87(5):507-32
pubmed: 27145194
PLoS One. 2019 Jun 27;14(6):e0218725
pubmed: 31246980
Bioinformatics. 2005 Jan 15;21(2):263-5
pubmed: 15297300
Heredity (Edinb). 2004 Jan;92(1):20-30
pubmed: 14508500
PLoS Genet. 2016 Feb 01;12(2):e1005767
pubmed: 26828793
Am J Hum Genet. 2007 Sep;81(3):559-75
pubmed: 17701901
Genetics. 2014 Jun;197(2):573-89
pubmed: 24700103
Plant Cell Environ. 2012 Oct;35(10):1707-28
pubmed: 22670814
Genetics. 1994 Aug;137(4):1121-37
pubmed: 7982566
Bioinformatics. 2010 Nov 15;26(22):2867-73
pubmed: 20926424
Front Plant Sci. 2019 Sep 20;10:1140
pubmed: 31616449
Plant Cell Environ. 2018 May;41(5):1008-1021
pubmed: 28185293
J Hered. 2002 Jan-Feb;93(1):77-8
pubmed: 12011185
Bioinformatics. 2007 Jul 15;23(14):1801-6
pubmed: 17485429
Plant J. 2013 Sep;75(6):927-40
pubmed: 23750584

Auteurs

Anthony Bernard (A)

INRAE, Univ. Bordeaux, UMR BFP, F-33882, Villenave d'Ornon, France.
CTIFL, centre opérationnel de Lanxade, 24130, Prigonrieux, France.

Annarita Marrano (A)

Department of Plant Sciences, University of California, Davis, CA, 95616, USA.

Armel Donkpegan (A)

INRAE, Univ. Bordeaux, UMR BFP, F-33882, Villenave d'Ornon, France.

Patrick J Brown (PJ)

Department of Plant Sciences, University of California, Davis, CA, 95616, USA.

Charles A Leslie (CA)

Department of Plant Sciences, University of California, Davis, CA, 95616, USA.

David B Neale (DB)

Department of Plant Sciences, University of California, Davis, CA, 95616, USA.

Fabrice Lheureux (F)

CTIFL, centre opérationnel de Lanxade, 24130, Prigonrieux, France.

Elisabeth Dirlewanger (E)

INRAE, Univ. Bordeaux, UMR BFP, F-33882, Villenave d'Ornon, France. elisabeth.dirlewanger@inrae.fr.

Articles similaires

Humans Macular Degeneration Mendelian Randomization Analysis Life Style Genome-Wide Association Study
Capsicum Disease Resistance Plant Diseases Polymorphism, Single Nucleotide Ralstonia solanacearum
Animals Natural Killer T-Cells Mice Adipose Tissue Lipid Metabolism

Classifications MeSH