Dataset Information

Sialia sialis isolate:B-94371

ABSTRACT: Sialia sialis strain:Louisiana genome sequencing and assembly

PROVIDER: PRJNA557459 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 7

Similar Datasets

Project description:There is mounting evidence that, across taxa, females breeding in competitive environments tend to allocate more testosterone to their offspring prenatally and these offspring typically have more aggressive and faster-growing phenotypes. To date, no study has determined the mechanisms mediating this maternal effect's influence on offspring phenotype. However, levels of estrogen receptor alpha (ER α) gene expression are linked to differences in early growth and aggression; thus, maternal hormones may alter gene regulation, perhaps via DNA methylation, of ER α in offspring during prenatal development. We performed a pilot study to examine natural variation in testosterone allocation to offspring through egg yolks in wild Eastern Bluebirds (Sialia sialis) in varying breeding densities and percent DNA methylation of CG dinucleotides in the ER α promoter in offspring brain regions associated with growth and behavior. We hypothesized that breeding density would be positively correlated with yolk testosterone, and prenatal exposure to maternal-derived yolk testosterone would be associated with greater offspring growth and decreased ER α promoter methylation. Yolk testosterone concentration was positively correlated with breeding density, nestling growth rate, and percent DNA methylation of one out of five investigated CpG sites (site 3) in the diencephalon ER α promoter, but none in the telencephalon (n = 10). Percent DNA methylation of diencephalon CpG site 3 was positively correlated with growth rate. These data suggest a possible role for epigenetics in mediating the effects of the maternal environment on offspring phenotype. Experimentally examining this mechanism with a larger sample size in future studies may help elucidate a prominent way in which animals respond to their environment. Further, by determining the mechanisms that mediate maternal effects, we can begin to understand the potential for the heritability of these mechanisms and the impact that maternal effects are capable of producing at an evolutionary scale.

			Action	DRS
		Other
	VRYO01.dat.gz	Other
	VRYO01.fasta.gz	Fasta.gz
	VRYO01.master.dat	Other
	SRR9891080.fastq.gz	Fastqsanger.gz

Dataset Information

Sialia sialis isolate:B-94371

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets