Production of ethanol from mesquite (Prosopis juliflora (SW) D.C.) pods mash by Zymomonas mobilis and Saccharomyces cerevisiae

Abstract

This study aimed to assess the use of mesquite pods hydrated mash as biomass for the growth of Saccharomyces cerevisiae UFEPEDA-1012 and Zymomonas mobilis UFEPEDA-205 and for ethanol production using a submerged fermentation. A 2 3 factorial design was used to analyze the effects of the type of microorganism, time of fermentation and condition of cultivation on the ethanol production in mesquite pods mash (30 g 100 mL -1 ). From the obtained results the hydrated mesquite pods mash presented as a good substrate for the growth of S. cerevisiae and Z. mobilis in comparison to the standard media. The effect that most affected the ethanol production was the type of microorganism. The highest ethanol concentration (141.1 gL -1 ) was found when Z. mobilis was cultivated in mesquite pods mash under static condition for 36 hrs. Ethanol production by S. cerevisiae was higher (44.32 gL -1 ) after 18 hrs of fermentation under static condition. According to these results, the mesquite pods could be known as an alternative substrate to be used for biotechnological purposes, mainly for ethanol production.

Mapping quantitative trait loci associated with leaf rust resistance in five spring wheat populations using single nucleotide polymorphism markers

“…Adult plant resistance genes such as Lr34, Lr46 and Lr67 [13][14][15] have also been used along with resistance from seedling genes. Other well characterized leaf rust adult plant resistance genes include Lr68, Lr74, Lr75, Lr77, and Lr78 [16]. In some cases, these genes work synergistically with seedling resistance such as Lr10, Lr13, Lr16, and Lr18 which confer resistance in combination with other genes, particularly Lr34 [3,17].…”

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“…Various platforms such as genotyping-by-sequencing (GBS), next generation sequencing (NGS) and Kompetitive allele specific PCR (KASP) are used (Aglawe et al, 2017;Cao et al, 2017;Sudheesh et al, 2016). Various statistical methods are employed for association analysis however, regression analysis is more preferred because the value of coefficient of determination (R 2) of a QTL directly corresponds to phenotypic variability due to linkage of that QTL to the trait under study (Collard et al, 2005;Gelli et al, 2017;Semagn et al, 2010). Other commonly used methods include simple interval mapping (SIM) which simultaneously analyzes the interval between two adjacent markers (linked) on a chromosome; composite interval mapping (CIM) that combines marker regression with interval mapping, while incorporating additional information on markers; and multiple interval mapping (MIM) which uses multiple marker intervals simultaneously to fit multiple putative QTL.…”

Sustainable Agriculture Reviews

“…Genetic engineering allows the expression of foreign genes from distant unrelated species as well as the modifi cation of the usual pattern of expression of an already present gene. Quantitative trait loci (QTL) mapping is an effective approach for studying genetically complex forms of disease resistance, where effects of specifi c resistance loci can be determined and interactions between resistance genes, plant development, and the environment can be analyzed (Semagn et al 2010 ). QTL mapping also provides a framework for Marker Assisted Selection (MAS) of complex characters and the positional cloning of genes with partial resistance MAS is potentially an important tool for use in crop improvement (Lin et al 2008 ).…”