ORCID Profile
0000-0001-9191-9239
Current Organisation
Comilla University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Public Library of Science (PLoS)
Date: 11-11-2010
Publisher: Public Library of Science (PLoS)
Date: 12-02-2010
Publisher: EManuscript Technologies
Date: 09-2012
DOI: 10.5530/PJ.2012.31.6
Publisher: EManuscript Technologies
Date: 2014
Publisher: EManuscript Technologies
Date: 10-2011
Publisher: Springer Science and Business Media LLC
Date: 24-03-2010
DOI: 10.1038/NATURE08800
Publisher: Proceedings of the National Academy of Sciences
Date: 15-11-2010
Abstract: Flowering time (FT) is the developmental transition coupling an internal genetic program with external local and seasonal climate cues. The genetic loci sensitive to predictable environmental signals underlie local adaptation. We dissected natural variation in FT across a new global ersity set of 473 unique accessions, with ,000 plants across two seasonal plantings in each of two simulated local climates, Spain and Sweden. Genome-wide association mapping was carried out with 213,497 SNPs. A total of 12 FT candidate quantitative trait loci (QTL) were fine-mapped in two independent studies, including 4 located within ±10 kb of previously cloned FT alleles and 8 novel loci. All QTL show sensitivity to planting season and/or simulated location in a multi-QTL mixed model. Alleles at four QTL were significantly correlated with latitude of origin, implying past selection for faster flowering in southern locations. Finally, maximum seed yield was observed at an optimal FT unique to each season and location, with four FT QTL directly controlling yield. Our results suggest that these major, environmentally sensitive FT QTL play an important role in spatial and temporal adaptation.
Publisher: Public Library of Science (PLoS)
Date: 27-12-2006
Publisher: Oxford University Press (OUP)
Date: 02-2014
DOI: 10.1534/GENETICS.113.157628
Abstract: Climate change has altered life history events in many plant species however, little is known about genetic variation underlying seasonal thermal response. In this study, we simulated current and three future warming climates and measured flowering time across a globally erse set of Arabidopsis thaliana accessions. We found that increased diurnal and seasonal temperature (1°–3°) decreased flowering time in two fall cohorts. The early fall cohort was unique in that both rapid cycling and overwintering life history strategies were revealed the proportion of rapid cycling plants increased by 3–7% for each 1° temperature increase. We performed genome-wide association studies (GWAS) to identify the underlying genetic basis of thermal sensitivity. GWAS identified five main-effect quantitative trait loci (QTL) controlling flowering time and another five QTL with thermal sensitivity. Candidate genes include known flowering loci a cochaperone that interacts with heat-shock protein 90 and a flowering hormone, gibberellic acid, a biosynthetic enzyme. The identified genetic architecture allowed accurate prediction of flowering phenotypes (R2 & 0.95) that has application for genomic selection of adaptive genotypes for future environments. This work may serve as a reference for breeding and conservation genetic studies under changing environments.
No related grants have been discovered for Anamul Haque.