In Silico Computational Transcriptomics Reveals Novel Endocrine Disruptors in Largemouth Bass (Micropterus salmoides)

• Published in: Environmental science & technology Vol. 52; no. 13; pp. 7553 - 7565
• Main Authors: Basili, Danilo, Zhang, Ji-Liang, Herbert, John, Kroll, Kevin, Denslow, Nancy D, Martyniuk, Christopher J, Falciani, Francesco, Antczak, Philipp
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 03.07.2018
• Subjects: 17β-Estradiol; animal ovaries; Animal populations; Bass; Computer applications; Dynamic models; Endocrine disruptors; endocrine-disrupting chemicals; Environmental effects; environmental science; estradiol; females; Fish; fish communities; Fish populations; Gene expression; gene expression regulation; Genes; gonadosomatic index; Liver; males; Micropterus salmoides; Molecular chains; Organic chemistry; ovarian development; Ovaries; Physiology; Plasma levels; prediction; quantitative polymerase chain reaction; Quercetin; Repositories; Retinoic acid; Sex hormones; Transcription; transcription (genetics); transcriptomics; Tretinoin; Vitellogenin

In recent years, decreases in fish populations have been attributed, in part, to the effect of environmental chemicals on ovarian development. To understand the underlying molecular events we developed a dynamic model of ovary development linking gene transcription to key physiological end points, s...