BackgroundEthylene is a phytohormone known for inducing a triple response in seedlings, leaf abscission and other responses to various stresses. Several studies in model plants have evaluated the importance of this hormone in crosstalk signaling with different metabolic pathways, in addition to responses to biotic stresses. However, the mechanism of action in plants of agricultural interest, such as soybean, and its participation in abiotic stresses remain unclear.ResultsThe studies presented in this work allowed for the identification of 176 soybean genes described elsewhere for ethylene biosynthesis (108 genes) and signal transduction (68 genes). A model to predict these routes in soybean was proposed, and it had great representability compared to those described for Arabidopsis thaliana and Oryza sativa. Furthermore, analysis of putative gene promoters from soybean gene orthologs permitted the identification of 29 families of cis-acting elements. These elements are essential for ethylene-mediated regulation and its possible crosstalk with other signaling pathways mediated by other plant hormones.From genes that are differentially expressed in the transcriptome database, we analyzed the relative expression of some selected genes in resistant and tolerant soybean plants subjected to water deficit. The differential expression of a set of five soybean ethylene-related genes (MAT, ACS, ACO, ETR and CTR) was validated with RT-qPCR experiments, which confirmed variations in the expression of these soybean target genes, as identified in the transcriptome database. In particular, two families of ethylene biosynthesis genes (ACS and ACO) were upregulated under these experimental conditions, whereas CTR (involved in ethylene signal transduction) was downregulated. In the same samples, high levels of ethylene production were detected and were directly correlated with the free fraction levels of ethylene’s precursor. Thus, the combination of these data indicated the involvement of ethylene biosynthesis and signaling in soybean responses to water stress.ConclusionsThe in silico analysis, combined with the quantification of ethylene production (and its precursor) and RT-qPCR experiments, allowed for a better understanding of the importance of ethylene at a molecular level in this crop as well as its role in the response to abiotic stresses. In summary, all of the data presented here suggested that soybean responses to water stress could be regulated by a crosstalk network among different signaling pathways, which might involve various phytohormones, such as auxins, ABA and jasmonic acid. The integration of in silico and physiological data could also contribute to the application of biotechnological strategies to the development of improved cultivars with regard to different stresses, such as the isolation of stress-specific plant promoters.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-015-0597-z) contains supplementary material, which is available to authorized users.

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Root-knot nematodes (RKN), from the Meloidogyne genus, have a worldwide distribution and cause severe economic damage to many life-sustaining crops. Because of their lack of specificity and danger to the environment, most chemical nematicides have been banned from use. Thus, there is a great need for new and safe compounds to control RKN. Such research involves identifying beforehand the nematode proteins essential to the invasion. Since G protein-coupled receptors GPCRs are the target of a large number of drugs, we have focused our research on the identification of putative nematode GPCRs such as those capable of controlling the movement of the parasite towards (or within) its host. A datamining procedure applied to the genome of Meloidogyne incognita allowed us to identify a GPCR, belonging to the neuropeptide GPCR family that can serve as a target to carry out a virtual screening campaign. We reconstructed a 3D model of this receptor by homology modeling and validated it through extensive molecular dynamics simulations. This model was used for large scale molecular dockings which produced a filtered limited set of putative antagonists for this GPCR. Preliminary experiments using these selected molecules allowed the identification of an active compound, namely C260-2124, from the ChemDiv provider, which can serve as a starting point for further investigations.

RESUMO -Explantes de bananeira cv. Caipiras (AAA) foram cultivados in vitro. Nas subculturas de estabelecimento e multiplicação, o meio utilizado foi MS + 5 mg/l de BAP e, na de enraizamento, 50%MS sem BAP. Na avaliação das subculturas, a maior contaminação ocorreu no estabelecimento (74,7%), seguindo decrescente até o enraizamento, com 5,6%. O número de brotos por frasco diminui ao longo das subculturas, atingindo 3,7 brotos na subculturas 1 e 1,7 na subcultura 4. O tamanho dos brotos permaneceu entre 24 e 26 mm, nas subculturas de 1 a 3, diminuindo na subcultura 4, com 22 mm. Como conseqüência, a classe de brotos menores (x ≤ 20 mm) predominou, variando de 56% na subcultura 1 para 65% na subcultura 4. No enraizamento, a predominância (62%) foi de brotos na faixa entre 30 e 60 mm, com média de 4,6 brotos por frasco. A avaliação geral do processo indicou um rendimento real de 70,9 mudas/rizoma. Palavras-chave: Micropropagação, Banana, Cultura de Tecidos EVALUATION OF A COMMERCIAL PROTOCOL FOR IN VITRO MULTIPLICATION OF BANANA (Musa sp) CV. CAIPIRA (AAA) ABSTRACT:Banana explants cv. Caipira (AAA) was cultivated in vitro. In the establishment and multiplication phases the medium used was MS+5mg/l BAP and in the rooting phase, 50%MS without BAP. In the subcultures evaluations, the highest contamination rate occurred at the establishment (74,7%), decreasing until rooting, with 5,6%. The number of shoots per flask along the subcultures was 3,7 in the first subculture and 1,7 in the fourth. The shoots' size remained between 24 and 26 mm in the subcultures 1 to 3, reducing in the subculture 4 with 22 mm. As a consequence, the class of smaller shoots (x ≤ 20 mm) was predominant, from 56% in the subculture 1 to 65% in the subculture 4. During rooting, the predominance (62%) of shoots was between 30 and 60 mm, with 4,6 shoots per flask. The general evaluation of the process indicated an efficiency of 70,9 plantlets per rhizome.