Biology subjects

Mancera, E.

Publications and source records attributed to Mancera, E..

3 recordsLinked to original sources

bioRxiv2023

Yeast diversity in open agave fermentations across Mexico

Yeasts are a diverse group of fungal microorganisms that are widely used to produce fermented foods and beverages. In Mexico, open fermentations are used to obtain spirits from agave plants. Despite the prevalence of this traditional practice throughout the country, yeasts have only been isolated and studied from a limited number of distilleries. To systematically describe the diversity of yeast species from open agave fermentations, here we generate the YMX.1.0 culture collection by isolating 4,524 strains from 68 sites in diverse climatic, geographical, and biological contexts. We used MALDI-TOF mass spectrometry for taxonomic classification and a subset of the strains was verified by ITS and D1/D2 sequencing. The most abundant species isolated from all producing regions were Saccharomyces cerevisiae, Pichia kudriavzevii, Pichia manshurica, and Kluyveromyces marxianus. Despite the great diversity of environmental conditions and production practices the composition of yeast communities remained largely homogeneous throughout locations and fermentation stages, even if less abundant but commonly occurring yeasts were considered. Furthermore, ITS and D1/D2 sequencing revealed two candidate new species of Saccharomycetales. To explore the intraspecific variation of the yeasts from agave fermentations, we conducted genome sequencing on four isolates of the non-conventional yeast Kazachstania humilis. The genomes of these four strains were considerably distinct from other genomes of the same species, suggesting that they belong to a different population. Our work contributes to the understanding and conservation of an open fermentation system of great cultural and economic importance, providing a valuable resource to study the biology and genetic diversity of microorganisms living at the interface of natural and human-associated environments. TAKE AWAYO_LIWe isolated and identified 4,524 yeast strains from open agave fermentations in Mexico. C_LIO_LIYeast communities remained largely homogeneous throughout diverse locations. C_LIO_LIKazachstania humilis genomes differed significantly from isolates in other regions of the world. C_LIO_LIWe report two candidate new species related to the Pichia clade. C_LI

microbiology↗

bioRxiv2022

Genomewide identification of subtelomeric silencing factors in budding yeast

Subtelomeric gene silencing is the negative transcriptional regulation of genes located close to telomeres. This phenomenon occurs in a variety of eukaryotes with salient physiological implications, such as cell adherence, virulence, immune-system escape, and aging. The process has been widely studied in the budding yeast Saccharomyces cerevisiae, where genes involved in this process have been identified mostly on a gene-by-gene basis. Here, we introduce a quantitative approach to study subtelomeric gene silencing, that couples the classical URA3 reporter with GFP monitoring, amenable to high-throughput flow cytometry analysis. This reporter was integrated into several subtelomeric loci in the genome, where it showed a gradual range of silencing effects. By crossing strains with this dual reporter at the COS12 and YFR057W subtelomeric query loci with gene-deletion mutants, we carried out a genome-wide, comprehensive screen for subtelomeric-silencing factors. The approach was replicable and allowed detection of expression changes caused by previously described silencing factors. We also identified new molecular players affecting this process, most of which are related to functions underlying chromatin conformation. This was the case of LGE1, a novel silencing factor herein reported, associated with histone ubiquitination. Our strategy can be readily combined with other reporters and gene perturbation collections, making it a versatile tool to study gene silencing at a genome-wide scale.

genetics↗

bioRxiv2020

Evolution of the complex transcription network controlling biofilm formation in Candida species

We examine how a complex transcription network composed of seven "master" regulators and hundreds of target genes evolved over a span of approximately 70 million years. The network controls biofilm formation in several Candida species, a group of fungi that are present in humans both as constituents of the microbiota and as opportunistic pathogens. The ability to form biofilms is crucial for microbial colonization of different host niches, particularly when an implanted medical device is present. We examined and compared the network underlying biofilm formation across four Candida species (C. albicans, C. dubliniensis, C. tropicalis, and C. parapsilosis), all of which form biofilms composed of multiple cell types. To describe the salient features of the network across different species, we employed four approaches: (1) we phenotypically characterized the biofilms formed by these species using a variety of methods; (2) we knocked out -- one by one -- the master regulators identified in C. albicans in the four species and monitored their effect on biofilm formation; (3) we identified the target genes of 18 master regulator orthologs across the four species by performing ChIP-seq experiments; and (4) we carried out transcriptional profiling across each species during biofilm formation. Additional network information was obtained by analyzing an interspecies hybrid formed between the two most closely related species, C. albicans and C. dubliniensis. We observed two major types of changes that have occurred in the biofilm circuit since the four species last shared a common ancestor. Master regulator "substitutions" occurred over relatively long evolutionary times, resulting in different species having overlapping, but different sets of master regulators of biofilm formation. Second, massive changes in the connections between the master regulators and their target genes occurred over much shorter timescales. Both types of change are crucial to account for the structures of the biofilm networks in extant species. We believe this analysis is the first detailed, empirical description of how a complex transcription network has evolved.

evolutionary biology↗