Genome Annotation of a Model Diatom Phaeodactylum tricornutum Using an Integrated Proteogenomic Pipeline

被引:35
作者
Yang, Mingkun [1 ]
Lin, Xiaohuang [1 ,2 ]
Liu, Xin [1 ,2 ]
Zhang, Jia [1 ]
Ge, Feng [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Hubei, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100039, Peoples R China
基金
中国国家自然科学基金;
关键词
Phaeodactylum tricornutum; proteogenomics; mass spectrometry; genome annotation; FUSOGENIC MICROPEPTIDE MYOMIXER; PROTEIN-CODING GENES; TANDEM MASS-SPECTRA; LONG NONCODING RNAS; POSTTRANSLATIONAL MODIFICATIONS; SACCHAROMYCES-CEREVISIAE; PEPTIDE IDENTIFICATION; STRESS RESPONSES; MUSCLE FORMATION; NITROGEN STRESS;
D O I
10.1016/j.molp.2018.08.005
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Diatoms comprise a diverse and ecologically important group of eukaryotic phytoplankton that significantly contributes to marine primary production and global carbon cycling. Phaeodactylum tricornutum is commonly used as a model organism for studying diatom biology. Although its genome was sequenced in 2008, a high-quality genome annotation is still not available for this diatom. Here we report the development of an integrated proteogenomic pipeline and its application for improved annotation of P. tricornutum genome using mass spectrometry (MS)-based proteomics data. Our proteogenomic analysis unambiguously identified approximately 8300 genes and revealed 606 novel proteins, 506 revised genes, 94 splice variants, 58 single amino acid variants, and a holistic view of post-translational modifications in P. tricornutum. We experimentally confirmed a subset of novel events and obtained MS evidence for more than 200 micropeptides in P. tricornutum. These findings expand the genomic landscape of P. tricornutum and provide a rich resource for the study of diatom biology. The proteogenomic pipeline we developed in this study is applicable to any sequenced eukaryote and thus represents a significant contribution to the toolset for eukaryotic proteogenomic analysis.
引用
收藏
页码:1292 / 1307
页数:16
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