On the world stage, the increase in temperatures due to global warming is already a reality that has become one of the main challenges faced by the scientific community. Since agriculture is highly dependent on climatic conditions, it may suffer a great impact in the short term if no measures are taken to adapt and mitigate the agricultural system. Plant responses to abiotic stresses have been the subject of research by numerous groups worldwide. Initially, these studies were concentrated on model plants, and, later, they expanded their studies in several economically important crops such as rice, corn, soybeans, coffee, and others. However, agronomic evaluations for the launching of cultivars and the classical genetic improvement process focus, above all, on productivity, historically leaving factors such as tolerance to abiotic stresses in the background. Considering the importance of the impact that abiotic stresses can have on agriculture in the short term, new strategies are currently being sought and adopted in breeding programs to understand the physiological, biochemical, and molecular responses to environmental disturbances in plants of agronomic interest, thus ensuring the world food security. Moreover, integration of these approaches is bringing new insights on breeding. We will discuss how water deficit, high temperatures, and salinity exert effects on plants.

Coffea arabica L. is an important agricultural commodity, accounting for 60% of traded coffee worldwide. Nitrogen (N) is a macronutrient that is usually limiting to plant yield; however, molecular mechanisms of plant acclimation to N limitation remain largely unknown in tropical woody crops. In this study, we investigated the transcriptome of coffee roots under N starvation, analyzing poly-A+ libraries and small RNAs. We also evaluated the concentration of selected amino acids and N-source preferences in roots. Ammonium was preferentially taken up over nitrate, and asparagine and glutamate were the most abundant amino acids observed in coffee roots. We obtained 34,654 assembled contigs by mRNA sequencing, and validated the transcriptional profile of 12 genes by RT-qPCR. Illumina small RNA sequencing yielded 8,524,332 non-redundant reads, resulting in the identification of 86 microRNA families targeting 253 genes. The transcriptional pattern of eight miRNA families was also validated. To our knowledge, this is the first catalog of differentially regulated amino acids, N sources, mRNAs, and sRNAs in Arabica coffee roots.

Sweet orange (Citrus sinensis) plays an important role in the economy of more than 140 countries, but it is grown in areas with intermittent stressful soil and climatic conditions. The stress tolerance could be addressed by manipulating the ethylene response factor (ERF) transcription factors because they orchestrate plant responses to environmental stress. We performed an in silico study on the ERFs in the expressed sequence tag database of C. sinensis to identify potential genes that regulate plant responses to stress. We identified 108 putative genes encoding protein sequences of the AP2/ERF superfamily distributed within 10 groups of amino acid sequences. Ninety-one genes were assembled from the ERF family containing only one AP2/ERF domain, 13 genes were assembled from the AP2 family containing two AP2/ERF domains, and four other genes were assembled from the RAV family containing one AP2/ERF domain and a B3 domain. Some conserved domains of the ERF family genes were disrupted into a few segments by introns. This irregular distribution of genes in the AP2/ERF superfamily in different plant species could be a result of genomic losses or duplication events in a common ancestor. The in silico gene expression revealed that 67% of AP2/ERF genes are expressed in tissues with usual plant development, and 14% were expressed in stressed tissues. Because the AP2/ERF superfamily is expressed in an orchestrated way, it is possible that the manipulation of only one gene may result in changes in the whole plant function, which could result in more tolerant crops.