GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola

Harsh Raman, Rosy Raman, Yu Qiu, Avilash Singh Yadav, Sridevi Sureshkumar, Lauren Borg, Maheswaran Rohan, David Wheeler, Oliver Owen, Ian Menz, Sureshkumar Balasubramanian

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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: 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: Our findings suggest that FT paralogs not only control flowering time but also modulate yield-related productivity traits in canola.

Original languageEnglish
Article number636
Number of pages18
JournalBMC Genomics
Volume20
Issue number1
DOIs
Publication statusPublished - 6 Aug 2019

Keywords

  • Canola
  • eQTL analysis
  • Flowering time
  • Gene expression
  • Natural variation
  • Photoperiod, genome-wide association analysis, linkage analysis

Cite this

Raman, Harsh ; Raman, Rosy ; Qiu, Yu ; Yadav, Avilash Singh ; Sureshkumar, Sridevi ; Borg, Lauren ; Rohan, Maheswaran ; Wheeler, David ; Owen, Oliver ; Menz, Ian ; Balasubramanian, Sureshkumar. / GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola. In: BMC Genomics. 2019 ; Vol. 20, No. 1.
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abstract = "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: 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: Our findings suggest that FT paralogs not only control flowering time but also modulate yield-related productivity traits in canola.",
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GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola. / Raman, Harsh; Raman, Rosy; Qiu, Yu; Yadav, Avilash Singh; Sureshkumar, Sridevi; Borg, Lauren; Rohan, Maheswaran; Wheeler, David; Owen, Oliver; Menz, Ian; Balasubramanian, Sureshkumar.

In: BMC Genomics, Vol. 20, No. 1, 636, 06.08.2019.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Raman, Rosy

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AU - Sureshkumar, Sridevi

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AU - Rohan, Maheswaran

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