164 research outputs found

    A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea

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    A combinatorial approach of candidate gene-based association analysis and genome-wide association study (GWAS) integrated with QTL mapping, differential gene expression profiling and molecular haplotyping was deployed in the present study for quantitative dissection of complex flowering time trait in chickpea. Candidate gene-based association mapping in a flowering time association panel (92 diverse desi and kabuli accessions) was performed by employing the genotyping information of 5724 SNPs discovered from 82 known flowering chickpea gene orthologs of Arabidopsis and legumes as well as 832 gene-encoding transcripts that are differentially expressed during flower development in chickpea. GWAS using both genome-wide GBS- and candidate gene-based genotyping data of 30,129 SNPs in a structured population of 92 sequenced accessions (with 200–250 kb LD decay) detected eight maximum effect genomic SNP loci (genes) associated (34 % combined PVE) with flowering time. Six flowering time-associated major genomic loci harbouring five robust QTLs mapped on a high-resolution intra-specific genetic linkage map were validated (11.6–27.3 % PVE at 5.4–11.7 LOD) further by traditional QTL mapping. The flower-specific expression, including differential up- and down-regulation (>three folds) of eight flowering time-associated genes (including six genes validated by QTL mapping) especially in early flowering than late flowering contrasting chickpea accessions/mapping individuals during flower development was evident. The gene haplotype-based LD mapping discovered diverse novel natural allelic variants and haplotypes in eight genes with high trait association potential (41 % combined PVE) for flowering time differentiation in cultivated and wild chickpea. Taken together, eight potential known/candidate flowering time-regulating genes [efl1 (early flowering 1), FLD (Flowering locus D), GI (GIGANTEA), Myb (Myeloblastosis), SFH3 (SEC14-like 3), bZIP (basic-leucine zipper), bHLH (basic helix-loop-helix) and SBP (SQUAMOSA promoter binding protein)], including novel markers, QTLs, alleles and haplotypes delineated by aforesaid genome-wide integrated approach have potential for marker-assisted genetic improvement and unravelling the domestication pattern of flowering time in chickpea

    Food and the circadian activity of the hypothalamic-pituitary-adrenal axis

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    Monitoring the stability of two parallel caverns for hydroelectric project - a case study

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    The Ghatghar hydroelectric project (GHEP) is under construction in the State of Maharashtra in India for the generation of 250 MW of electricity. The rock mass is composed of the typical basaltic trap formation viz. the compact basalts and the amygdaloidal basalts. The underground power house scheme consists of two major caverns, a machine hall and a transformer hall and intersections. The stability assessment of both the caverns and the intersection has been made through instrumentation. An extensive instrumentation scheme was implemented in these structures to have detailed knowledge on rock mass behaviour during and after the construction and to ascertain the efficacy of the support system. The instrumentation consisted of tape extensometers for measuring convergence, multi-point and single-point borehole extensometers for displacements, load cells for rock load and strain meters for rock strain. These instruments were installed during the process of cavern excavation. The observation so far have revealed that the caverns and other structures are stable. The support system in the caverns consists of 6m long fully grouted rock bolts at a spacing of 2m centre to centre and 50mm thick steel fiber reinforced shotcrete (SFRS). This paper describes the instrumentation scheme and analysis of the monitoring data to evaluate the stability of the caverns
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