Commentary, In the pit
Non-genetic impact factors on chronological lifespan and stress resistance of baker’s yeast
Michael Sauer and Diethard Mattanovich
This article comments on work published by Bisschops et al. (Microbial Cell, 2015), which illustrates how important the choice of the experimental setup is and how culture conditions influcence cellular aging and survival in biotechnological processes.
What’s old is new again: yeast mutant screens in the era of pooled segregant analysis by genome sequencing
Chris Curtin and Toni Cordente
This article comments on work published by Den Abt et al. (Microbial Cell, 2016), which identified genes involved in ethyl acetate formation in a yeast mutant screen based on a new approach combining repeated rounds of chemical mutagenesis and pooled segregant analysis by whole genome sequencing.
The complexities of bacterial-fungal interactions in the mammalian gastrointestinal tract
Eduardo Lopez-Medina1 and Andrew Y. Koh2
This article comments on work published by Lopez-Medina et al. (PLoS Pathog, 2015) and Fan et al. (Nat Med, 2015), which utilize an “artificial” niche, the antibiotic-treated gut with concomitant pathogenic microbe expansion, to gain insight in bacterial-fungal interactions in clinically common scenarios.
Gearing up for survival – HSP-containing granules accumulate in quiescent cells and promote survival
Ruofan Yu and Weiwei Dang
This article comments on work published by Lee et al. (Microbial Cell, 2016), which reports that distinct granules are formed in quiescent and non-quiescent cells, which determines their respective cell fates.
Yeast screening platform identifies FDA-approved drugs that reduce Aβ oligomerization
Triana Amen1,2 and Daniel Kaganovich1
This article comments on work published by Park et al. (Microbial Cell, 2016), which discovered a number of small molecules capable of modulating Aβ aggregation in a yeast model.
Groupthink: chromosomal clustering during transcriptional memory
Kevin A. Morano
In this article, the authors comment on the study "NO1 transcriptional memory leads to DNA zip code-dependent interchromosomal clustering." by Brickner et al. (Microbial Cell, 2015), discussing the importance and molecular mechanisms of chromosomal clustering during transcriptional memory.
Yeast proteinopathy models: a robust tool for deciphering the basis of neurodegeneration
Amit Shrestha1, 2 and Lynn A. Megeney1, 2, 3
Protein quality control or proteostasis is an essential determinant of basic cell health and aging. Eukaryotic cells have evolved a number of proteostatic mechanisms to ensure that proteins retain functional conformation, or are rapidly degraded when proteins misfold or self-aggregate. This article discusses the use of budding yeast as a robust proxy to study the intersection between proteostasis and neurodegenerative disease.
In the beginning was the word: How terminology drives our understanding of endosymbiotic organelles
January 21, 2019
This In the Pit article argues that the naming conventions for biological entities influence research perspectives and methodologies, advocating for mitochondria and plastids to be classified and named as bacteria due to their endosymbiotic origins, with potential implications for our understanding of bacterial prevalence, definitions of the microbiome and multicellularity, and the concept of endosymbiotic domestication.
What’s in a name? How organelles of endosymbiotic origin can be distinguished from endosymbionts
January 21, 2019
This In the Pit article suggests redefining the relationship between hosts and endosymbionts, like mitochondria and plastids, as a single species based on "sexual symbiont integration," the loss of independent speciation, and congruence in genetic recombination and population sizes, rather than solely on historic classifications or structural properties.
Similar environments but diverse fates: Responses of budding yeast to nutrient deprivation.
Saul M. Honigberg
Diploid budding yeast (Saccharomyces cerevisiae) can adopt one of several alternative differentiation fates in response to nutrient limitation, and each of these fates provides distinct biological functions. When different strain backgrounds are taken into account, these various fates occur in response to similar environmental cues, are regulated by the same signal transduction pathways, and share many of the same master regulators. I propose that the relationships between fate choice, environmental cues and signaling pathways are not Boolean, but involve graded levels of signals, pathway activation and master-regulator activity.