Quantitative trait loci (QTL) underlying phenotypic variation in bioethanol-related processes in Neurospora crassa

PLoS One. 2020 Feb 4;15(2):e0221737. doi: 10.1371/journal.pone.0221737. eCollection 2020.

Abstract

Bioethanol production from lignocellulosic biomass has received increasing attention over the past decade. Many attempts have been made to reduce the cost of bioethanol production by combining the separate steps of the process into a single-step process known as consolidated bioprocessing. This requires identification of organisms that can efficiently decompose lignocellulose to simple sugars and ferment the pentose and hexose sugars liberated to ethanol. There have been many attempts in engineering laboratory strains by adding new genes or modifying genes to expand the capacity of an industrial microorganism. There has been less attention in improving bioethanol-related processes utilizing natural variation existing in the natural ecotypes. In this study, we sought to identify genomic loci contributing to variation in saccharification of cellulose and fermentation of glucose in the fermenting cellulolytic fungus Neurospora crassa through quantitative trait loci (QTL) analysis. We identified one major QTL contributing to fermentation of glucose and multiple putative QTL's underlying saccharification. Understanding the natural variation of the major QTL gene would provide new insights in developing industrial microbes for bioethanol production.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biological Variation, Population / genetics*
  • Ethanol / metabolism*
  • Fermentation
  • Industrial Microbiology
  • Neurospora crassa / genetics*
  • Quantitative Trait Loci*
  • Sugars / metabolism

Substances

  • Sugars
  • Ethanol

Grants and funding

The work was supported by Big Data Analytics Grant from Rutgers ORED, Rutgers University-Newark to KL.