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Dataset Information

Transcriptome profiling of the goose (Anser cygnoides) ovaries identify laying and broodiness phenotypes.


ABSTRACT:

Background

The geese have strong broodiness and poor egg performance. These characteristics are the key issues that hinder the goose industry development. Yet little is known about the mechanisms responsible for follicle development due to lack of genomic resources. Hence, studies based on high-throughput sequencing technologies are needed to produce a comprehensive and integrated genomic resource and to better understand the biological mechanisms of goose follicle development.

Methodology/principal findings

In this study, we performed de novo transcriptome assembly and gene expression analysis using short-read sequencing technology (Illumina). We obtained 67,315,996 short reads of 100 bp, which were assembled into 130,514 unique sequences by Trinity strategy (mean size = 75

SUBMITTER: Xu Q 

PROVIDER: S-EPMC3566205 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature