Dataset Information

Identification of a major QTL that alters flowering time at elevated [CO(2)] in Arabidopsis thaliana.

ABSTRACT:

Background

The transition from vegetative to reproductive stages marks a major milestone in plant development. It is clear that global change factors (e.g., increasing [CO(2)] and temperature) have already had and will continue to have a large impact on plant flowering times in the future. Increasing atmospheric [CO(2)] has recently been shown to affect flowering time, and may produce even greater responses than increasing temperature. Much is known about the genes influencing flowering time, although their relevance to changing [CO(2)] is not well understood. Thus, we present the first study to identify QTL (Quantitative Trait Loci) that affect flowering time at elevated [CO(2)] in Arabidopsis thaliana.

Methodology/principal findings

We developed our mapping population by crossing a genotype previously selected for high fitness at elevated [CO(2)] (SG, Selection Genotype) to a Cape Verde genotype (Cvi-0). SG exhibits delayed flowering at elevated [CO(2)], whereas Cvi-0 is non-responsive to elevated [CO(2)] for flowering time. We mapped one major QTL to the upper portion of chromosome 1 that explains 1/3 of the difference in flowering time between current and elevated [CO(2)] between the SG and Cvi-0 parents. This QTL also alters the stage at which flowering occurs, as determined from higher rosette leaf number at flowering in RILs (Recombinant Inbred Lines) harboring the SG allele. A follow-up study using Arabidopsis mutants for flowering time genes within the significant QTL suggests MOTHER OF FT AND TFL1 (MFT) as a potential candidate gene for altered flowering time at elevated [CO(2)].

Conclusion/significance

This work sheds light on the underlying genetic architecture that controls flowering time at elevated [CO(2)]. Prior to this work, very little to nothing was known about these mechanisms at the genomic level. Such a broader understanding will be key for better predicting shifts in plant phenology and for developing successful crops for future environments.

SUBMITTER: Ward JK

PROVIDER: S-EPMC3504057 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Identification of a major QTL that alters flowering time at elevated [CO(2)] in Arabidopsis thaliana.

Ward Joy K JK Samanta Roy Debosree D Chatterjee Iera I Bone Courtney R CR Springer Clint J CJ Kelly John K JK

PloS one 20121121 11

<h4>Background</h4>The transition from vegetative to reproductive stages marks a major milestone in plant development. It is clear that global change factors (e.g., increasing [CO(2)] and temperature) have already had and will continue to have a large impact on plant flowering times in the future. Increasing atmospheric [CO(2)] has recently been shown to affect flowering time, and may produce even greater responses than increasing temperature. Much is known about the genes influencing flowering ...[more]

PMID: 23185291

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Project description:Flowering time is a key life-history trait in the plant life cycle. Most studies to unravel the genetics of flowering time in Arabidopsis thaliana have been performed under greenhouse conditions. Here, we describe a study about the genetics of flowering time that differs from previous studies in two important ways: first, we measure flowering time in a more complex and ecologically realistic environment; and, second, we combine the advantages of genome-wide association (GWA) and traditional linkage (QTL) mapping. Our experiments involved phenotyping nearly 20,000 plants over 2 winters under field conditions, including 184 worldwide natural accessions genotyped for 216,509 SNPs and 4,366 RILs derived from 13 independent crosses chosen to maximize genetic and phenotypic diversity. Based on a photothermal time model, the flowering time variation scored in our field experiment was poorly correlated with the flowering time variation previously obtained under greenhouse conditions, reinforcing previous demonstrations of the importance of genotype by environment interactions in A. thaliana and the need to study adaptive variation under natural conditions. The use of 4,366 RILs provides great power for dissecting the genetic architecture of flowering time in A. thaliana under our specific field conditions. We describe more than 60 additive QTLs, all with relatively small to medium effects and organized in 5 major clusters. We show that QTL mapping increases our power to distinguish true from false associations in GWA mapping. QTL mapping also permits the identification of false negatives, that is, causative SNPs that are lost when applying GWA methods that control for population structure. Major genes underpinning flowering time in the greenhouse were not associated with flowering time in this study. Instead, we found a prevalence of genes involved in the regulation of the plant circadian clock. Furthermore, we identified new genomic regions lacking obvious candidate genes.

Dataset Information

Identification of a major QTL that alters flowering time at elevated [CO(2)] in Arabidopsis thaliana.

Background

Methodology/principal findings

Conclusion/significance

Publications

Identification of a major QTL that alters flowering time at elevated [CO(2)] in Arabidopsis thaliana.

Similar Datasets

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