Abstract Water deficit is one of the major limitations to soybean production worldwide, yet the genetic basis of drought-responsive mechanisms in crops remains poorly understood. In order to study the gene expression patterns in leaves and roots of soybean, two contrasting genotypes, Embrapa 48 (drought-tolerant) and BR 16 (drought-sensitive), were evaluated under moderate and severe water deficit. Transcription factors from the AP2/EREBP and WRKY families were investigated. Embrapa 48 showed 770 more up-regulated genes than BR 16, in eight categories. In general, leaves presented more differentially expressed genes (DEGs) than roots. Embrapa 48 responded to water deficit faster than BR 16, presenting a greater number of DEGs since the first signs of drought. Embrapa 48 exhibited initial modulation of genes associated with stress, while maintaining the level of the ones related to basic functions. The genes expressed exclusively in the drought-tolerant cultivar, belonging to the category of dehydration responsive genes, and the ones with a contrasting expression pattern between the genotypes are examples of important candidates to confer tolerance to plants. Finally, this study identified genes of the AP2/EREBP and WRKY families related to drought tolerance.

Abstract Water deficit is an important climatic problem that can impair agriculture yield and economy. Genetically modified soybean plants containing the AtNCED3 gene were obtained aiming drought-tolerance improvement. The NCED3 gene encodes a 9-cis-epoxycarotenoid dioxygenase (NCED, EC 1.13.11.51), an important enzyme in abscisic acid biosynthesis. ABA activates the expression of drought-responsive genes, in water-deficit conditions, targeting defense mechanisms and enabling plants to survive under low water availability. Results from greenhouse experiments showed that the transgene AtNCED3 and the endogenous genes GmAREB1, GmPP2C, GmSnRK2 and GmAAO3 presented higher expression under water deficit (WD) in the event 2Ha11 than in WT-plants. No significant correlation was observed between the plant materials and WD conditions for growth parameters; however, gas exchange measurements decreased in the GM event, which also showed 80% higher intrinsic water use when compared to WT plants. In crop season 2015/16, event 2Ha11 showed higher total number of pods, higher number of pods with seeds and yield than WT plants. ABA concentration was also higher in GM plants under WD. These results obtained in field screenings suggest that AtNCED3 soybean plants might outperform under drought, reducing economic and yield losses, thus being a good candidate line to be incorporated in the soybean-breeding program to develop drought-tolerant cultivars.

Soybean has a wide range of applications in the industry and, due to its crop potential, its improvement is widely desirable. During drought conditions, soybean crops suffer significant losses in productivity. Therefore, understanding the responses of the soybean under this stress is an effective way of targeting crop improvement techniques. In this study, we employed the Suppressive Subtractive Hybridization (SSH) technique to investigate differentially expressed genes under water deficit conditions. Embrapa 48 and BR 16 soybean lines, known as drought-tolerant and -sensitive, respectively, were grown hydroponically and subjected to different short-term periods of stress by withholding the nutrient solution. Using this approach, we have identified genes expressed during the early response to water deficit in roots and leaves. These genes were compared among the lines to assess probable differences in the plant transcriptomes. In general, similar biochemical processes were predominant in both cultivars; however, there were more considerable differences between roots and leaves of Embrapa 48. Moreover, we present here a fast, clean and straightforward method to obtain drought-stressed root tissues and a large enriched collection of transcripts expressed by soybean plants under water deficit that can be useful for further studies towards the understanding of plant responses to stress.