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LanceletDB: an integrated genome database for lancelet, comparing domain types and combination in orthologues among lancelet and other species

Authors :
Guangrui Huang
Zirui Yue
Anlong Xu
Yuchao Feng
Xiaopu Sang
Ting’an Li
Ting Yu
Jiaqi Chi
Xinhui Gao
Leiming You
Aijie Liu
Shengfeng Huang
Shangwu Chen
Source :
Database: The Journal of Biological Databases and Curation
Publication Year :
2018

Abstract

Lancelet (amphioxus) represents the most basally divergent extant chordate (cephalochordates) that diverged from the other two chordate lineages (urochordates and vertebrates) more than half a billion years ago. As it occupies a key position in evolution, it is considered as one of the best proxies for understanding the chordate ancestral state. Thus, the construction of a database with multiple lancelet genomes and gene annotation data, including protein domains, is urgently needed to investigate the loss and gain of domains in orthologues among species, especially ancient domain types (non-vertebrate-specific domains) and novel domain combination, which is helpful for providing new insight into the chordate ancestral state and vertebrate evolution. Here, we present an integrated genome database for lancelet, LanceletDB, which provides reference haploid genome sequence and annotation data for lancelet (Branchiostoma belcheri), including gene models and annotation, protein domain types, gene expression pattern in embryogenesis, different expression sequence tag sets and alternative polyadenylation (APA) sites profiled by the sequencing APA sites method. Especially, LanceletDB allows comparison of domain types and combination in orthologues among type species so as to decode the ancient domain types and novel domain combination during evolution. We also integrated the released diploid lancelet genome annotation data (Branchiostoma floridae) to expand LanceletDB and extend its usefulness. These data are available through the search and analysis page, basic local alignment search tool page and genome browser to provide an integrated display.

Details

ISSN :
17580463
Volume :
2019
Database :
OpenAIRE
Journal :
Database : the journal of biological databases and curation
Accession number :
edsair.doi.dedup.....9aebe57c9a46a749a743339eb20ea741