Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ERC: GuppyCON Genomic convergence in wild guppies

ABSTRACT: Population genomics of convergent evolution in high-predation and low-predation guppies.

PROVIDER: PRJEB43917 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR5547150_1.fastq.gz	Fastqsanger.gz
	ERR5547150_2.fastq.gz	Fastqsanger.gz
	ERR5547160_1.fastq.gz	Fastqsanger.gz
	ERR5547160_2.fastq.gz	Fastqsanger.gz
	ERR5547170_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 204

Similar Datasets

Amoeba Predation of Cryptococcus: A Quantitative and Population Genomic Evaluation of the Accidental Pathogen Hypothesis

Project description:The “Amoeboid Predator-Fungal Animal Virulence Hypothesis” posits that interactions with environmental phagocytes shape the evolution of virulence traits in fungal pathogens. In this hypothesis, selection to avoid predation by amoeba inadvertently selects for traits that contribute to fungal escape from phagocytic immune cells. Here, we investigate this hypothesis in the human fungalpathogens Cryptococcus neoformans and Cryptococcus deneoformans. Applying quantitative trait locus (QTL) mapping and comparative genomics, we discovered a cross-species QTL region that is responsible for variation in resistance to amoeba predation. In C. neoformans, this same QTL was found to have pleiotropic effects on melanization, an established virulence factor. Through fine mapping and population genomic comparisons, we identified the gene encoding the transcription factor BZP4 that underlies this pleiotropic QTL and we show that decreased expression of this gene reduces melanization and increases susceptibility to amoeba predation. Despite the joint effects of BZP4 on amoeba resistance and melanin production, we find no relationship between BZP4 genotype and escape from macrophages or virulence in murine models of disease. Our findings provide new perspectives on how microbial ecology shapes the genetic architecture of fungal virulence, and suggests the need for more nuanced models for the evolution of pathogenesis that account for the complexities of both microbe-microbe and microbe-host interactions.

2023-07-25 | GSE238170 | GEO

Genomic Convergence in Hibernating Mammals Elucidates the Genetics of Metabolic Regulation in the Hypothalamus [snRNAseq]

Project description:Extreme metabolic adaptations can elucidate genetic programs governing mammalian metabolism. Here we used convergent evolutionary changes in hibernating lineages to define conserved cis-regulatory elements (CREs) and metabolic programs. We characterized mouse hypothalamus gene expression and chromatin dynamics across fed, fasted, and refed states, then used comparative genomics of hibernating versus non-hibernating lineages to identify cis-elements with convergent changes in hibernators. Multi-omics approaches pinpointed CREs, hub genes, regulatory programs, and cell types underlying lineage divergence. Hibernators accumulated loss-of-function effects for CREs regulating hypothalamic responses, and the refeeding period after fasting served as a key phase for molecular processes with convergent evolutionary changes. This work provides a genetic framework for harnessing hibernator adaptations to understand human metabolic control. Convergent signals define cis-regulatory mechanisms behind food scarcity responses and hibernator-homeotherm divergence.

2025-08-04 | GSE295856 | GEO