To identify differentially expressed genes in soybean grown under different drought conditions, cDNA libraries from roots of different genotypes were constructed. Genes of contrasting genotypes of soybean were found to be differentially expressed in plants exposed to drought conditions. A total of 753 no redundant clones were identified by PCR, and these were printed on microarray glass slides. Probes of total RNA were prepared from bulked roots subjected to 25 and 50 min (Bulk 1) or 75 and 100 min (Bulk 2) of drought stress. Differential expression of 145 genes, involved in metabolic pathways responsive to biotic and abiotic stresses, was observed. These genes were classified into nine functional categories, including energy, transcription factors, metabolism, stress response, protein synthesis, cell communication, cell cycle, cell transport, and unknown function. The functionality of some of these genes was confirmed by quantitative real-time PCR (qRT-PCR).

ABSTRACT. We evaluated the molecular, anatomical and physiological properties of a soybean line transformed to improve drought tolerance with an rd29A:AtDREB1A construct. This construct expressed dehydrationresponsive element binding protein DREB1A from the stress-inducible rd29A promoter. The greenhouse growth test included four randomized blocks of soybean plants, with each treatment performed in triplicate. Seeds from the non-transformed soybean cultivar BR16 and from the genetically modified soybean P58 line (T 2 generation) were grown at 15% gravimetric humidity for 31 days. To induce water deficit, the humidity was reduced to 5% gravimetric humidity (moderate stress) for 29 days and then to 2.5% gravimetric humidity (severe stress). AtDREB1A gene expression was higher in the genetically modified P58 plants during water deficit, demonstrating transgene stability in T 2 generations and induction of the rd29A promoter. Drought-response genes, including GmPI-PLC, GmSTP, GmGRP, and GmLEA14, were highly expressed in plants submitted to severe stress. Genetically modified plants had higher stomatal conductance and consequently higher photosynthetic and transpiration rates. In addition, they had more chlorophyll. Overexpression of AtDREB1A may contribute to a decrease in leaf thickness; however, a thicker abaxial epidermis was observed. Overexpression of AtDREB1A in soybean appears to enhance drought tolerance.

-The objective of this work was to validate, by quantitative PCR in real time (RT-qPCR), genes to be used as reference in studies of gene expression in soybean in drought-stressed trials. Four genes commonly used in soybean were evaluated: Gmβ-actin, GmGAPDH, GmLectin and GmRNAr18S. Total RNA was extracted from six samples: three from roots in a hydroponic system with different drought intensities (0, 25, 50, 75 and 100 minutes of water stress), and three from leaves of plants grown in sand with different soil moistures (15, 5 and 2.5% gravimetric humidity). The raw cycle threshold (Ct) data were analyzed, and the efficiency of each primer was calculated for an overall analysis of the Ct range among the different samples. The GeNorm application was used to evaluate the best reference gene, according to its stability. The GmGAPDH was the least stable gene, with the highest mean values of expression stability (M), and the most stable genes, with the lowest M values, were the Gmβ-actin and GmRNAr18S, when both root and leaves samples were tested. These genes can be used in RT-qPCR as reference gene for expression analysis.Index terms: Glycine max, expression stability, RT-qPCR, water deficit. Identificação de genes de referência para análise de expressão por PCR quantitativo em tempo real, em soja submetida à secaResumo -O objetivo deste trabalho foi validar, pela técnica de PCR quantitativo em tempo real (RT-qPCR) genes para serem utilizados como referência em estudos de expressão gênica em soja, em ensaios de estresse hídrico. Foram avaliados quatro genes comumente utilizados em soja: Gmβ-actin, GmGAPDH, GmLectin e GmRNAr18S. O RNA total foi extraído de seis amostras: três amostras de raízes em sistema de hidroponia com diferentes intensidades de déficit hídrico (0, 25, 50, 75 e 100 minutos de estresse hídrico), e três amostras de folhas de plantas cultivadas em areia com diferentes umidades do solo (15, 5 e 2,5% de umidade gravimétrica). Os dados brutos do intervalo "cycle threshold" (Ct) foram analisados, e a eficiência de cada iniciador foi calculada para uma analise da Ct entre as diferentes amostras. A aplicação do programa GeNorm foi utilizada para a avaliação dos melhores genes de referência, de acordo com a estabilidade. O GmGAPDH foi o gene menos estável, com o maior valor médio de estabilidade de expressão (M), e os genes mais estáveis, com menor valor de M, foram o Gmβ-actin e GmRNAr18S, tanto nas amostras de raízes como nas de folhas. Estes genes podem ser usados em RT-qPCR como gens de referência para análises de expressão gênica.Termos para indexação: Glycine max, estabilidade de expressão, RT-qPCR, déficit hídrico.

ABSTRACT. To gain insight into stress-responsive gene regulation in soybean plants, we identified consensus sequences that could categorize the transcription factors MYBJ7, BZIP50, C2H2, and NAC2 as members of the gene families myb, bzip, c2h2, and nac, respectively. We also investigated the evolutionary relationship of these transcription factors and analyzed their expression levels under drought stress. The NCBI software was used to find the predicted amino acid sequences of the transcription factors, and the Clustal X software was used to align soybean and other plant species sequences. Phylogenetic trees were built using the Mega 4.1 software by neighbor joining and the degree of confidence test by Bootstrap. Expression level studies were carried out using hydroponic culture; the experiments were designed in completely randomized blocks with three repetitions. The blocks consisted of two genotypes, MG/ BR46 Conquista (drought-tolerant) and BR16 (drought-sensitive) and the treatments consisted of increasingly long dehydration periods (0, 25, 50, 75, and 100 min). The transcription factors presented domains and/or conserved regions that characterized them as belonging to the bzip, c2h2, myb, and nac families. Based on the phylogenetic trees, it was found that the myb, bzip and nac genes are closely related to myb78, bzip48 and nac2 of soybean and that c2h2 is closely related to c2h2 of Brassica napus. Expression of all genes was in general increased under drought stress in both genotypes.Major differences between genotypes were due to the lowering of the expression of the mybj7 and c2h2 genes in the drought-tolerant variety at some times. Over-expression or silencing of some of these genes has the potential to increase stress tolerance.

BackgroundStrain CPAC 7 (=SEMIA 5080) was recently reclassified into the new species Bradyrhizobium diazoefficiens; due to its outstanding efficiency in fixing nitrogen, it has been used in commercial inoculants for application to crops of soybean [Glycine max (L.) Merr.] in Brazil and other South American countries. Although the efficiency of B. diazoefficiens inoculant strains is well recognized, few data on their protein expression are available.ResultsWe provided a two-dimensional proteomic reference map of CPAC 7 obtained under free-living conditions, with the successful identification of 115 spots, representing 95 different proteins. The results highlighted the expression of molecular determinants potentially related to symbiosis establishment (e.g. inositol monophosphatase, IMPase), fixation of atmospheric nitrogen (N2) (e.g. NifH) and defenses against stresses (e.g. chaperones). By using bioinformatic tools, it was possible to attribute probable functions to ten hypothetical proteins. For another ten proteins classified as “NO related COG” group, we analyzed by RT-qPCR the relative expression of their coding-genes in response to the nodulation-gene inducer genistein. Six of these genes were up-regulated, including blr0227, which may be related to polyhydroxybutyrate (PHB) biosynthesis and competitiveness for nodulation.ConclusionsThe proteomic map contributed to the identification of several proteins of B. diazoefficiens under free-living conditions and our approach—combining bioinformatics and gene-expression assays—resulted in new information about unknown genes that might play important roles in the establishment of the symbiosis with soybean.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-15-643) contains supplementary material, which is available to authorized users.