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The two-component system (TCS) plays an important role in signal transduction pathways, cytokinin signaling and stress resistance of prokaryotes and eukaryotes. It is comprised of three types of proteins in plants; histidine kinases (HKs), histidine phosphotransfer proteins (HPs) and response regulators (RRs). Chickpea (Cicer arietinum L.) is one of the most important legume crops worldwide with special economic value in semi-arid tropics. Availability of complete genome sequence of chickpea presents a valuable resource for comparative analysis among angiosperms. In current study, Arabidopsis thaliana and Oryza sativa were used as reference plant species for comparative genomics analysis with C. arietinum. A genome-wide computational survey enabled us to identify putative members of TCS protein family including 18HKs, 26 RRs (7 type-A, 7 type-B, 2 type C and 10 pseudo) and 7 HPs (5 true and 2pseudo) genes in chickpea. The predicted TCS genes displayed family specific intron/exon organization and were randomly distributed across all the eight chromosomes. Comparative phylogenetic and evolutionary analysis suggested a variable conservation of TCS genes in relation to mono/dicot model plants and segmental duplication was the principal route of expansion for this family in chickpea. The promoter regions of TCS genes exhibited several abiotic stress-related cis-elements indicating their involvement in abiotic stress response. The expression analysis of TCS genes demonstrated stress (drought, heat, osmotic and salt) specific differential expression. Current study provides insight into TCS genes in C. arietinum, which will be helpful for further functional analysis of these genes in response to different abiotic stresses.
Pubmed ID: 31415811
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A software package for the analysis of nucleotide polymorphism from aligned DNA sequence data. DnaSP can estimate several measures of DNA sequence variation within and between populations (in noncoding, synonymous or nonsynonymous sites, or in various sorts of codon positions), as well as linkage disequilibrium, recombination, gene flow and gene conversion parameters. DnaSP can also carry out several tests of neutrality: Hudson, Kreitman and Aguad (1987), Tajima (1989), McDonald and Kreitman (1991), Fu and Li (1993), and Fu (1997) tests. Additionally, DnaSP can estimate the confidence intervals of some test-statistics by the coalescent. The results of the analyses are displayed on tabular and graphic form.
View all literature mentionsDatabase dedicated to the analysis of the genome of Escherichia coli. Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.). The data contained in Colibri originates from two major sources of information, the reference genomic DNA sequence from the E. coli Genome Project and the feature annotations from the EcoGene data collection.
View all literature mentionsSoftware application that produces charts of genetic linkage and QTL data. The charts are composed of a sequence of vertical bars representing the linkage groups or chromosomes. On these bars the positions of loci are indicated, and next to the bars QTL intervals and QTL graphs can be shown. MapChart reads the linkage information (i.e. the locus and QTL names and their positions) from text files. Many options to adapt the charts to different purposes. Can produce graphic files (enhanced windows metafile format) which can be enhanced with other MS-Windows software. (entry from Genetic Analysis Software)
View all literature mentionsWeb tool for conserved domains searching within protein or coding nucleotide sequence.
View all literature mentionsSoftware tool that extends WholeBrain framework in R for segmenting and registering experimental images to Allen Mouse Common Coordinate Framework (CCF). Streamlines processing of large volumetric LSFM datasets and solves issues with non-uniform morphing across anterior-posterior axis with interactive “choice game.” Accounts for duplicate cell counts in adjacent z images and presents new ways to easily parse apart and interactively visualize final mapped datasets.
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