32 kcal/mole) and sinapic acid (- 5.00 kcal/mole) in their decreasing order. Further, active site residues were identified in both the isoforms and in silico mutation and docking analysis was performed. Our analysis suggested that ASP228, TYR262, and PRO326 for Ll4CL1 and SER165, LYS247 and PRO315 for Ll4CL2 were important for their functional activity. Based on differential substrate preferences of the two isoforms, as a first step towards genetically modified Leuaena having the desired phenotype, it can be proposed that over-expression of Ll4CL1 gene and/or down-regulation of Ll4CL2 gene could yield higher S/G ratio leading to better extractability of lignin.In this work, we isolated and selected oleaginous yeasts from rock field soils from two National Parks in Brazil (Caparaó and Serra dos Órgãos) with the potential to accumulate oil from xylose, the main pentose sugar found in lignocellulosic biomass. From the 126 isolates, two were selected based on their lipid contents. They were taxonomically identified as Papiliotrema laurentii (UFV-1 and UFV-2). Of the two, P. laurentii UFV-1 was selected as the best lipid producer. Under unoptimized conditions, lipid production by P. laurentii UFV-1 was higher in glucose than in xylose. To improve its lipid production from xylose, we applied response surface methodology (RSM) with a face-centered central composite design (CCF). We evaluated the effects of agitation rate, initial cell biomass (OD600), carbon/nitrogen ratio (C/N ratio) and pH on lipid production. P. laurentii UFV-1 recorded the highest lipid content, 63.5% (w/w) of the cell dry mass, under the following conditions C/N ratio = 1001, pH value = 7.0, initial OD600 = 0.8 and agitation = 300 rpm. Under these optimized conditions, biomass, lipid titer and volumetric lipid productivity were 9.31 g/L, 5.90 g/L and 0.082 g/L.h, respectively. Additionally, we determined the fatty acid composition of P. laurentii UFV-1 as follows C140 (0.5%), C160 (28.4-29.4%), C161 (0.2%), C180 (9.5-11%), C181 (58.6-60.5%), and C200 (0.7-0.8%). Based on this composition, the predicted properties of biodiesel showed that P. laurentii UFV-1 oil is suitable for use as feedstock in biodiesel production.Water deficit has a significant impact on growth, development and yield of fava bean (Vicia fava L.) in arid and semi-arid climates. The aim of this study was to identify differentially expressed genes in the Qinghai 13 genotype under soil drought through leaf transcriptome analysis. A total of 256.95 M clean reads were obtained and assembled into 176334 unigenes, with an average length of 766 bp. A total of 9126 (4439 upregulated and 4687 downregulated) differentially expressed genes (DEGs) were identified in faba bean leaves under soil drought. In total, 324 putative transcription factors were identified and classified as belonging to different transcription factor families. According to GO and KEGG analysis, the soil drought stress-inducible DEGs encoded proteins mainly involved in regulating photosynthesis, osmotic adjustment, detoxification, autophagy and other functions. In addition, a large portion of DEGs appeared to be novel because they could not be annotated in any functional databases, therefore, suggesting a specific response to soil drought in faba bean. Finally, RNA-seq analysis was validated by quantitative reverse-transcription PCR analysis. This work provides comprehensive and valuable information for understanding the molecular mechanisms which faba bean uses to respond to soil drought.Mitogen-activated protein kinase (MAPK) signaling cascade is highly conserved across the species triggering the self-adjustment of the cells by transmitting the external signals to the nucleus. The cascade consists of MAPK kinase kinases (MAPKKKs), MAPK kinases (MAPKKs) and MAPKs. These kinases are functionally interrelated through activation by sequential phosphorylation. MAPK cascade is involved in modulating the tolerance and regulating the growth and developmental processes in plants through transcriptional programming. The cascade has been well characterized in Arabidopsis, Tobacco and rice, but limited information is available in wheat due to complexity of genome. MAPK-based sensors have been reported to be highly specific for the external or intracellular stimuli activating specific TF, stress-associated genes (SAGs) and stress-associated proteins (SAPs) linked with heat-stress tolerance and other biological functions especially size, number and quality of grains. Even, MAPKs have been reported to influence the activity of ATP-binding cassette (ABC) transporter superfamily involved in stabilizing the quality of the grains under adverse conditions. https://www.selleckchem.com/screening/fda-approved-drug-library.html Wheat has also diverse network of MAPKs involved in transcriptional reprogramming upon sensing the terminal HS and in turn protect the plants. Current review mainly focuses on the role of MAPKs as signaling sensor and modulator of defense mechanism for mitigating the effect of heat on plants with focus on wheat. It also indirectly protects the nutrient depletion from the grains under heat stress. MAPKs, lying at pivotal positions, can be utilized for manipulating the heat-stress response (HSR) of wheat to develop plant for future (P4F).The traditional medicinal systems (TMS) of India (Prakriti) and Korea (Sasang) classify human individuals based on their constitution determined by the physiological and psychological traits of individuals. Similarities in the constitutions are already found between the classes of Prakriti (Vata, Pitta, and Kapha) and Sasang (TE Taeeumin, SE Soeumin, and SY Soyangin) systems. Gut health is an important aspect of this constitution based classification in TMS. To determine the role of gut microbes in such classifications, we have analyzed the gut microbiome (taxa and imputed functions) in the constitutionally similar Prakriti and Sasang classes. An enrichment of Bacteroides and Prevotella enterotypes is observed in the Sasang and Prakriti samples, respectively. The impact of the constitution is found to be more prominent with respect to the taxa and predicted-functions within the Prakriti classes. Gut microbiome functional-level similarities are found to correlate well with the host phenotypes of the constitutionally similar Prakriti and Sasang classes.