GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola.
Canola
Flowering time
Gene expression
Natural variation
Photoperiod, genome-wide association analysis, linkage analysis
eQTL analysis
Journal
BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258
Informations de publication
Date de publication:
06 Aug 2019
06 Aug 2019
Historique:
received:
24
02
2019
accepted:
09
07
2019
entrez:
8
8
2019
pubmed:
8
8
2019
medline:
24
12
2019
Statut:
epublish
Résumé
Transition to flowering at the right time is critical for local adaptation and to maximize grain yield in crops. Canola is an important oilseed crop with extensive variation in flowering time among varieties. However, our understanding of underlying genes and their role in canola productivity is limited. We report our analyses of a diverse GWAS panel (300-368 accessions) of canola and identify SNPs that are significantly associated with variation in flowering time and response to photoperiod across multiple locations. We show that several of these associations map in the vicinity of FLOWERING LOCUS T (FT) paralogs and its known transcriptional regulators. Complementary QTL and eQTL mapping studies, conducted in an Australian doubled haploid population, also detected consistent genomic regions close to the FT paralogs associated with flowering time and yield-related traits. FT sequences vary between accessions. Expression levels of FT in plants grown in field (or under controlled environment cabinets) correlated with flowering time. We show that markers linked to the FT paralogs display association with variation in multiple traits including flowering time, plant emergence, shoot biomass and grain yield. Our findings suggest that FT paralogs not only control flowering time but also modulate yield-related productivity traits in canola.
Sections du résumé
BACKGROUND
BACKGROUND
Transition to flowering at the right time is critical for local adaptation and to maximize grain yield in crops. Canola is an important oilseed crop with extensive variation in flowering time among varieties. However, our understanding of underlying genes and their role in canola productivity is limited.
RESULTS
RESULTS
We report our analyses of a diverse GWAS panel (300-368 accessions) of canola and identify SNPs that are significantly associated with variation in flowering time and response to photoperiod across multiple locations. We show that several of these associations map in the vicinity of FLOWERING LOCUS T (FT) paralogs and its known transcriptional regulators. Complementary QTL and eQTL mapping studies, conducted in an Australian doubled haploid population, also detected consistent genomic regions close to the FT paralogs associated with flowering time and yield-related traits. FT sequences vary between accessions. Expression levels of FT in plants grown in field (or under controlled environment cabinets) correlated with flowering time. We show that markers linked to the FT paralogs display association with variation in multiple traits including flowering time, plant emergence, shoot biomass and grain yield.
CONCLUSIONS
CONCLUSIONS
Our findings suggest that FT paralogs not only control flowering time but also modulate yield-related productivity traits in canola.
Identifiants
pubmed: 31387521
doi: 10.1186/s12864-019-5964-y
pii: 10.1186/s12864-019-5964-y
pmc: PMC6685183
doi:
Substances chimiques
Plant Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
636Subventions
Organisme : Grains Research and Development Corporation
ID : DAN00208
Organisme : Centre of Excellence in Plant Energy Biology, Australian Research Council
ID : FT100100377
Références
Genetics. 2000 Jul;155(3):1405-13
pubmed: 10880498
Plant J. 2001 Dec;28(5):545-53
pubmed: 11849594
Nucleic Acids Res. 2004 Mar 19;32(5):1792-7
pubmed: 15034147
Annu Rev Plant Biol. 2004;55:141-72
pubmed: 15377217
Plant Physiol. 2005 Jan;137(1):149-56
pubmed: 15618421
Plant Cell Physiol. 2005 Aug;46(8):1175-89
pubmed: 15951566
Theor Appl Genet. 2006 Jun;113(1):49-54
pubmed: 16604336
Proc Natl Acad Sci U S A. 2006 Apr 18;103(16):6398-403
pubmed: 16606827
Plant J. 2006 Apr;46(2):183-92
pubmed: 16623882
Plant Biotechnol J. 2005 Jan;3(1):3-16
pubmed: 17168895
Proc Natl Acad Sci U S A. 2007 Jan 23;104(4):1278-82
pubmed: 17220273
Curr Opin Plant Biol. 2007 Oct;10(5):520-7
pubmed: 17709278
Genetics. 2007 Dec;177(4):2433-44
pubmed: 18073439
Genetics. 2008 Mar;178(3):1709-23
pubmed: 18385116
Curr Opin Plant Biol. 2009 Feb;12(1):75-80
pubmed: 18938104
Mol Gen Genet. 1991 Sep;229(1):57-66
pubmed: 1896021
Nature. 2009 Jan 15;457(7227):327-31
pubmed: 19029881
Proc Natl Acad Sci U S A. 2009 May 19;106(20):8392-7
pubmed: 19416824
Plant Cell. 2009 Jul;21(7):1877-96
pubmed: 19574434
Plant J. 2009 Nov;60(4):614-25
pubmed: 19656342
Plant Signal Behav. 2006 Sep;1(5):227-8
pubmed: 19704664
BMC Evol Biol. 2009 Nov 25;9:271
pubmed: 19939256
Nat Genet. 2010 Apr;42(4):355-60
pubmed: 20208535
Nature. 2010 Jun 3;465(7298):627-31
pubmed: 20336072
Nat Genet. 2010 May;42(5):459-63
pubmed: 20348958
Proc Natl Acad Sci U S A. 2010 May 18;107(20):9458-63
pubmed: 20439704
Plant Cell. 2010 May;22(5):1425-40
pubmed: 20472817
Nucleic Acids Res. 2010 Sep;38(16):e164
pubmed: 20601685
Proc Natl Acad Sci U S A. 2011 Apr 19;108(16):6680-5
pubmed: 21464308
Curr Biol. 2011 Jul 26;21(14):1232-8
pubmed: 21737277
J Exp Bot. 2011 Nov;62(15):5641-58
pubmed: 21862478
Nature. 2011 Sep 25;478(7367):119-22
pubmed: 21947007
Plant Physiol. 2012 Jan;158(1):2-22
pubmed: 22147517
Theor Appl Genet. 2012 Jul;125(2):405-18
pubmed: 22454144
Plant Cell Environ. 2012 Oct;35(10):1742-55
pubmed: 22697796
Plant Biotechnol J. 2012 Aug;10(6):709-15
pubmed: 22726421
Bioinformatics. 2012 Sep 15;28(18):2397-9
pubmed: 22796960
Theor Appl Genet. 2013 Jan;126(1):119-32
pubmed: 22955939
PLoS One. 2012;7(9):e45751
pubmed: 23029223
PLoS One. 2012;7(10):e47127
pubmed: 23071733
BMC Plant Biol. 2012 Dec 15;12:238
pubmed: 23241244
G3 (Bethesda). 2013 Mar;3(3):427-39
pubmed: 23449944
Mol Biol Evol. 2013 Dec;30(12):2725-9
pubmed: 24132122
Theor Appl Genet. 1995 Apr;90(5):727-32
pubmed: 24174034
Nat Commun. 2013;4:2884
pubmed: 24300952
Front Plant Sci. 2014 Jun 17;5:282
pubmed: 24987398
PLoS One. 2014 Jul 25;9(7):e102611
pubmed: 25061822
Genetics. 1989 Nov;123(3):585-95
pubmed: 2513255
Science. 2014 Aug 22;345(6199):950-3
pubmed: 25146293
Front Plant Sci. 2014 Aug 25;5:404
pubmed: 25202314
J Exp Bot. 2015 Jan;66(1):245-56
pubmed: 25371500
Ecol Evol. 2014 Dec;4(23):4505-21
pubmed: 25512847
BMC Genomics. 2015 Sep 29;16:737
pubmed: 26419915
Plant Cell Environ. 2016 Jun;39(6):1228-39
pubmed: 26428711
Nucleic Acids Res. 2016 Jan 4;44(D1):D1167-71
pubmed: 26476447
DNA Res. 2016 Feb;23(1):43-52
pubmed: 26659471
G3 (Bethesda). 2016 Apr 07;6(4):793-803
pubmed: 26801646
Mol Ecol. 2016 Aug;25(15):3622-31
pubmed: 27072809
Theor Appl Genet. 2016 Oct;129(10):1887-99
pubmed: 27364915
Front Plant Sci. 2016 Oct 24;7:1513
pubmed: 27822217
Sci Rep. 2017 Feb 06;7:41845
pubmed: 28165502
Front Plant Sci. 2017 Nov 17;8:1950
pubmed: 29204147
BMC Plant Biol. 2018 Feb 13;18(1):32
pubmed: 29433434
Plant Sci. 2018 Dec;277:251-266
pubmed: 30466591
Front Plant Sci. 2018 Nov 23;9:1622
pubmed: 30532758
Mol Biol Evol. 1987 Jul;4(4):406-25
pubmed: 3447015
Genetics. 1997 Jul;146(3):1123-9
pubmed: 9215913
Genetics. 1998 Feb;148(2):885-92
pubmed: 9504934