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Improved zebra finch brain transcriptome identifies novel proteins with sex differences.

Authors :
He, Jingyan
He, Jingyan
Fu, Ting
Zhang, Ling
Wanrong Gao, Lucy
Rensel, Michelle
Remage-Healey, Luke
White, Stephanie A
Gedman, Gregory
Whitelegge, Julian
Xiao, Xinshu
Schlinger, Barney A
He, Jingyan
He, Jingyan
Fu, Ting
Zhang, Ling
Wanrong Gao, Lucy
Rensel, Michelle
Remage-Healey, Luke
White, Stephanie A
Gedman, Gregory
Whitelegge, Julian
Xiao, Xinshu
Schlinger, Barney A
Publication Year :
2022

Abstract

The zebra finch (Taeniopygia guttata), a representative oscine songbird species, has been widely studied to investigate behavioral neuroscience, most notably the neurobiological basis of vocal learning, a rare trait shared in only a few animal groups including humans. In 2019, an updated zebra finch genome annotation (bTaeGut1_v1.p) was released from the Ensembl database and is substantially more comprehensive than the first version published in 2010. In this study, we utilized the publicly available RNA-seq data generated from Illumina-based short-reads and PacBio single-molecule real-time (SMRT) long-reads to assess the bird transcriptome. To analyze the high-throughput RNA-seq data, we adopted a hybrid bioinformatic approach combining short and long-read pipelines. From our analysis, we added 220 novel genes and 8,134 transcript variants to the Ensembl annotation, and predicted a new proteome based on the refined annotation. We further validated 18 different novel proteins by using mass-spectrometry data generated from zebra finch caudal telencephalon tissue. Our results provide additional resources for future studies of zebra finches utilizing this improved bird genome annotation and proteome.

Details

Database :
OAIster
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367377899
Document Type :
Electronic Resource