Dataset Information

Transcriptional analysis of drought-induced genes in the roots of a tolerant genotype of the common bean (Phaseolus vulgaris L.).

ABSTRACT: In Brazil, common bean (Phaseolus vulgaris L.) productivity is severely affected by drought stress due to low technology cultivation systems. Our purpose was to identify differentially expressed genes in roots of a genotype tolerant to water deficit (BAT 477) when submitted to an interruption of irrigation during its development. A SSH library was constructed taking as "driver" the genotype Carioca 80SH (susceptible to drought). After clustering and data mining, 1572 valid reads were obtained, resulting in 1120 ESTs (expressed sequence tags). We found sequences for transcription factors, carbohydrates metabolism, proline-rich proteins, aquaporins, chaperones and ubiquitins, all of them organized according to their biological processes. Our suppressive subtractive hybridization (SSH) library was validated through RT-qPCR experiment by assessing the expression patterns of 10 selected genes in both genotypes under stressed and control conditions. Finally, the expression patterns of 31 ESTs, putatively related to drought responses, were analyzed in a time-course experiment. Our results confirmed that such genes are more expressed in the tolerant genotype during stress; however, they are not exclusive, since different levels of these transcripts were also detected in the susceptible genotype. In addition, we observed a fluctuation in gene regulation over time for both the genotypes, which seem to adopt and adapt different strategies in order to develop tolerance against this stress.

SUBMITTER: Recchia GH

PROVIDER: S-EPMC3645681 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Transcriptional analysis of drought-induced genes in the roots of a tolerant genotype of the common bean (Phaseolus vulgaris L.).

Recchia Gustavo Henrique GH Caldas Danielle Gregorio Gomes DG Beraldo Ana Luiza Ahern AL da Silva Márcio José MJ Tsai Siu Mui SM

International journal of molecular sciences 20130328 4

In Brazil, common bean (Phaseolus vulgaris L.) productivity is severely affected by drought stress due to low technology cultivation systems. Our purpose was to identify differentially expressed genes in roots of a genotype tolerant to water deficit (BAT 477) when submitted to an interruption of irrigation during its development. A SSH library was constructed taking as "driver" the genotype Carioca 80SH (susceptible to drought). After clustering and data mining, 1572 valid reads were obtained, r ...[more]

PMID: 23538843

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Project description:BACKGROUND:Common bean (Phaseolus vulgaris L.) is an important part of the human diet and serves as a source of natural products. Identification and understanding of genes in P. vulgaris is important for its improvement. Characterization of expressed sequence tags (ESTs) is one of the approaches in understanding the expressed genes. For the understanding of genes expression in P. vulgaris pod-tissue, research work of ESTs generation was initiated by constructing cDNA libraries using 5-day and 20-day old bean-pod-tissues. Altogether, 5972 cDNA clones were isolated to have ESTs. While processing ESTs, we found a transcript for calmodulin (CaM) gene. It is an important gene that encodes for a calcium-binding protein and known to express in all eukaryotic cells. Hence, this study was undertaken to analyse and annotate it. OBJECTIVE:The objective of this study was to analyze and annotate P. vulgaris CaM (PvCaM) gene cDNA and its deduced protein (amino acids) sequence. MATERIALS AND METHODS:Both strands of PvCaM cDNA clone were sequenced using M13 forward and reverse primer to elucidate the nucleotide sequence. The cDNA sequence and deduced protein sequence were analyzed and annotated using bioinformatics tools available online. The secondary structures and three-dimensional (3D) structure of PvCaM protein were predicted using the Phyre automatic fold recognition server. RESULTS:Results showed that PvCaM cDNA is 818 bp in length. The cDNA analysis results showed that it contains an open reading frame that encodes for 149 amino acid residues. The deduced protein sequence analysis results showed the presence of conserved domains required for CaM function. The predicted secondary structures and 3D structure are analogous to the Solanum tuberosum CaM. CONCLUSIONS:This study analyzed and annotated PvCaM cDNA and protein. However, in order to obtain a complete understanding of PvCaM protein, further study on its expression, structure and regulation is essential.

Project description:BackgroundCommon bean is an important staple crop in the tropics of Africa, Asia and the Americas. Particularly smallholder farmers rely on bean as a source for calories, protein and micronutrients. Drought is a major production constraint for common bean, a situation that will be aggravated with current climate change scenarios. In this context, new tools designed to understand the genetic basis governing the phenotypic responses to abiotic stress are required to improve transfer of desirable traits into cultivated beans.ResultsA multiparent advanced generation intercross (MAGIC) population of common bean was generated from eight Mesoamerican breeding lines representing the phenotypic and genotypic diversity of the CIAT Mesoamerican breeding program. This population was assessed under drought conditions in two field trials for yield, 100 seed weight, iron and zinc accumulation, phenology and pod harvest index. Transgressive segregation was observed for most of these traits. Yield was positively correlated with yield components and pod harvest index (PHI), and negative correlations were found with phenology traits and micromineral contents. Founder haplotypes in the population were identified using Genotyping by Sequencing (GBS). No major population structure was observed in the population. Whole Genome Sequencing (WGS) data from the founder lines was used to impute genotyping data for GWAS. Genetic mapping was carried out with two methods, using association mapping with GWAS, and linkage mapping with haplotype-based interval screening. Thirteen high confidence QTL were identified using both methods and several QTL hotspots were found controlling multiple traits. A major QTL hotspot located on chromosome Pv01 for phenology traits and yield was identified. Further hotspots affecting several traits were observed on chromosomes Pv03 and Pv08. A major QTL for seed Fe content was contributed by MIB778, the founder line with highest micromineral accumulation. Based on imputed WGS data, candidate genes are reported for the identified major QTL, and sequence changes were identified that could cause the phenotypic variation.ConclusionsThis work demonstrates the importance of this common bean MAGIC population for genetic mapping of agronomic traits, to identify trait associations for molecular breeding tool design and as a new genetic resource for the bean research community.

Dataset Information

Transcriptional analysis of drought-induced genes in the roots of a tolerant genotype of the common bean (Phaseolus vulgaris L.).

Publications

Transcriptional analysis of drought-induced genes in the roots of a tolerant genotype of the common bean (Phaseolus vulgaris L.).

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