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Journal ArticleDOI

Identification and characterization of high-flux-control genes of yeast through competition analyses in continuous cultures.

TLDR
Using competition experiments in continuous cultures grown in different nutrient environments, genes that show haploinsufficiency phenotypes or haploproficient phenotypes are identified and this chromosome determines a yeast's mating type, and the concentration of haplOinsufficient genes there may be a mechanism to prevent its loss.
Abstract
Using competition experiments in continuous cultures grown in different nutrient environments (glucose limited, ammonium limited, phosphate limited and white grape juice), we identified genes that show haploinsufficiency phenotypes (reduced growth rate when hemizygous) or haploproficiency phenotypes (increased growth rate when hemizygous). Haploproficient genes (815, 1,194, 733 and 654 in glucose-limited, ammonium-limited, phosphate-limited and white grape juice environments, respectively) frequently show that phenotype in a specific environmental context. For instance, genes encoding components of the ubiquitination pathway or the proteasome show haploproficiency in nitrogen-limited conditions where protein conservation may be beneficial. Haploinsufficiency is more likely to be observed in all environments, as is the case with genes determining polar growth of the cell. Haploproficient genes seem randomly distributed in the genome, whereas haploinsufficient genes (685, 765, 1,277 and 217 in glucose-limited, ammonium-limited, phosphate-limited and white grape juice environments, respectively) are over-represented on chromosome III. This chromosome determines a yeast's mating type, and the concentration of haploinsufficient genes there may be a mechanism to prevent its loss.

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Phenotypic impact of genomic structural variation: insights from and for human disease

TL;DR: This Review describes how structural variants can affect molecular and cellular processes, leading to complex organismal phenotypes, including human disease, and presents advances in delineating disease-causing elements that are affected by structural variants.
Journal ArticleDOI

The repertoire and dynamics of evolutionary adaptations to controlled nutrient-limited environments in yeast.

TL;DR: This work describes genetic changes that resulted from the experimental adaptation of 24 haploid and diploid cultures of Saccharomyces cerevisiae to growth in either glucose, sulfate, or phosphate-limited chemostats and suggests that experimental evolution can also shed light on the function and regulation of individual metabolic pathways.
Journal ArticleDOI

The flowering gene SINGLE FLOWER TRUSS drives heterosis for yield in tomato

TL;DR: It is reported that heterozygosity for tomato loss-of-function alleles of SINGLE FLOWER TRUSS (SFT), which is the genetic originator of the flowering hormone florigen, increases yield by up to 60%.
Journal ArticleDOI

Progress Toward Understanding Heterosis in Crop Plants

TL;DR: Heterosis generally results from the action of multiple loci, and different loci affect heterosis for different traits and in different hybrids, so multigene models are likely to prove most informative for understanding heterosis.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Journal ArticleDOI

Functional profiling of the Saccharomyces cerevisiae genome.

Guri Giaever, +72 more
- 25 Jul 2002 - 
TL;DR: It is shown that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment, and less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal Growth in four of the tested conditions.
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Functional profiling of the Saccharomyces cerevisiae genome.

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