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Comparative analysis of the transcriptome across distant species.

Authors :
Gerstein MB
Rozowsky J
Yan KK
Wang D
Cheng C
Brown JB
Davis CA
Hillier L
Sisu C
Li JJ
Pei B
Harmanci AO
Duff MO
Djebali S
Alexander RP
Alver BH
Auerbach R
Bell K
Bickel PJ
Boeck ME
Boley NP
Booth BW
Cherbas L
Cherbas P
Di C
Dobin A
Drenkow J
Ewing B
Fang G
Fastuca M
Feingold EA
Frankish A
Gao G
Good PJ
Guigó R
Hammonds A
Harrow J
Hoskins RA
Howald C
Hu L
Huang H
Hubbard TJ
Huynh C
Jha S
Kasper D
Kato M
Kaufman TC
Kitchen RR
Ladewig E
Lagarde J
Lai E
Leng J
Lu Z
MacCoss M
May G
McWhirter R
Merrihew G
Miller DM
Mortazavi A
Murad R
Oliver B
Olson S
Park PJ
Pazin MJ
Perrimon N
Pervouchine D
Reinke V
Reymond A
Robinson G
Samsonova A
Saunders GI
Schlesinger F
Sethi A
Slack FJ
Spencer WC
Stoiber MH
Strasbourger P
Tanzer A
Thompson OA
Wan KH
Wang G
Wang H
Watkins KL
Wen J
Wen K
Xue C
Yang L
Yip K
Zaleski C
Zhang Y
Zheng H
Brenner SE
Graveley BR
Celniker SE
Gingeras TR
Waterston R
Source :
Nature [Nature] 2014 Aug 28; Vol. 512 (7515), pp. 445-8.
Publication Year :
2014

Abstract

The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a 'universal model' based on a single set of organism-independent parameters.

Details

Language :
English
ISSN :
1476-4687
Volume :
512
Issue :
7515
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
25164755
Full Text :
https://doi.org/10.1038/nature13424