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том 8 издание 1 номер публикации 4834

Integrative analysis of large scale transcriptome data draws a comprehensive landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms

Achal Rastogi 1
Uma Maheswari 2
Richard G. Dorrell 1
Fabio Rocha Jimenez Vieira 1
Florian Maumus 3
Adam Kustka 4
James McCarthy 5
Andrew J. Allen 5, 6
Paul Kersey 2
Chris Bowler 1
Leila Tirichine 1
Тип публикацииJournal Article
Дата публикации2018-03-19
scimago Q1
wos Q1
БС1
SJR0.874
CiteScore6.7
Impact factor3.9
ISSN20452322
Multidisciplinary
Краткое описание
Diatoms are one of the most successful and ecologically important groups of eukaryotic phytoplankton in the modern ocean. Deciphering their genomes is a key step towards better understanding of their biological innovations, evolutionary origins, and ecological underpinnings. Here, we have used 90 RNA-Seq datasets from different growth conditions combined with published expressed sequence tags and protein sequences from multiple taxa to explore the genome of the model diatom Phaeodactylum tricornutum, and introduce 1,489 novel genes. The new annotation additionally permitted the discovery of extensive alternative splicing in diatoms, including intron retention and exon skipping, which increase the diversity of transcripts generated in changing environments. In addition, we have used up-to-date reference sequence libraries to dissect the taxonomic origins of diatom genes. We show that the P. tricornutum genome is enriched in lineage-specific genes, with up to 47% of the gene models present only possessing orthologues in other stramenopile groups. Finally, we have performed a comprehensive de novo annotation of repetitive elements showing novel classes of transposable elements such as SINE, MITE and TRIM/LARD. This work provides a solid foundation for future studies of diatom gene function, evolution and ecology.
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Rastogi A. et al. Integrative analysis of large scale transcriptome data draws a comprehensive landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms // Scientific Reports. 2018. Vol. 8. No. 1. 4834
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Rastogi A., Maheswari U., Dorrell R. G., Vieira F. R. J., Maumus F., Kustka A., McCarthy J., Allen A. J., Kersey P., Bowler C., Tirichine L. Integrative analysis of large scale transcriptome data draws a comprehensive landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms // Scientific Reports. 2018. Vol. 8. No. 1. 4834
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TY - JOUR
DO - 10.1038/s41598-018-23106-x
UR - https://doi.org/10.1038/s41598-018-23106-x
TI - Integrative analysis of large scale transcriptome data draws a comprehensive landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms
T2 - Scientific Reports
AU - Rastogi, Achal
AU - Maheswari, Uma
AU - Dorrell, Richard G.
AU - Vieira, Fabio Rocha Jimenez
AU - Maumus, Florian
AU - Kustka, Adam
AU - McCarthy, James
AU - Allen, Andrew J.
AU - Kersey, Paul
AU - Bowler, Chris
AU - Tirichine, Leila
PY - 2018
DA - 2018/03/19
PB - Springer Nature
IS - 1
VL - 8
PMID - 29556065
SN - 2045-2322
ER -
BibTex
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BibTex (до 50 авторов) Скопировать
@article{2018_Rastogi,
author = {Achal Rastogi and Uma Maheswari and Richard G. Dorrell and Fabio Rocha Jimenez Vieira and Florian Maumus and Adam Kustka and James McCarthy and Andrew J. Allen and Paul Kersey and Chris Bowler and Leila Tirichine},
title = {Integrative analysis of large scale transcriptome data draws a comprehensive landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms},
journal = {Scientific Reports},
year = {2018},
volume = {8},
publisher = {Springer Nature},
month = {mar},
url = {https://doi.org/10.1038/s41598-018-23106-x},
number = {1},
pages = {4834},
doi = {10.1038/s41598-018-23106-x}
}