Sign in
MicrobiologybioRxiv
Preprint

Analysis of genome sequences of marine isolates of Saccharomyces cerevisiae

Muhammad Farhan Aslam, Abdelrahman ZakyiD, Xirong Hou, 陈奕涵, Yufei Hu, Christopher E. FrenchiD

Abstract

Saccharomyces cerevisiae is the workhorse of the fermentation industry, as well as a dominant laboratory model organism and chassis for synthetic biology. The great majority of known isolates are from terrestrial sources, but a number of strains are reported to have been isolated from seawater and marine sediments and organisms. Marine strains may have superior tolerance to salt and fermentation inhibitors, and other properties which may be useful in industry, especially in processes based on seawater and marine biomass, as well as casting new light on the physiology and evolution of this species. We have recently reported the isolation of several marine strains of S. cerevisiae and comparisons with terrestrial strains for ethanol production. Here we describe the genome sequences of three marine S. cerevisiae strains, AZ65, AZ118 and AZ123. To the best of our knowledge, these are the first genome sequences of marine S. cerevisiae strains for which published isolation data are available. Superior salt and inhibitor tolerance of the strains, compared to multiple terrestrial and industrial comparators, was confirmed. Analysis of the ENA locus, believed to be related to salt tolerance in S. cerevisiae, did not show strong evidence for modification of copy number, protein sequence, or promoter sequence of this locus in response to a marine habitat. The physiological and genetic basis of salt and inhibitor tolerance thus remains to be determined.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLip '20Dekker '21McDaniel '18Jacobus '24Riles '18Abrams '22
66% semantic matchPhysiology
K. Y. F. Lip, E. García-Ríos, C. E. Costa+4 more·bioRxiv·Jan 30, 2020