Literature DB >> 18502943

Revisiting the Saccharomyces cerevisiae predicted ORFeome.

Qian-Ru Li1, Anne-Ruxandra Carvunis, Haiyuan Yu, Jing-Dong J Han, Quan Zhong, Nicolas Simonis, Stanley Tam, Tong Hao, Niels J Klitgord, Denis Dupuy, Danny Mou, Ilan Wapinski, Aviv Regev, David E Hill, Michael E Cusick, Marc Vidal.   

Abstract

Accurately defining the coding potential of an organism, i.e., all protein-encoding open reading frames (ORFs) or "ORFeome," is a prerequisite to fully understand its biology. ORFeome annotation involves iterative computational predictions from genome sequences combined with experimental verifications. Here we reexamine a set of Saccharomyces cerevisiae "orphan" ORFs recently removed from the original ORFeome annotation due to lack of conservation across evolutionarily related yeast species. We show that many orphan ORFs produce detectable transcripts and/or translated products in various functional genomics and proteomics experiments. By combining a naïve Bayes model that predicts the likelihood of an ORF to encode a functional product with experimental verification of strand-specific transcripts, we argue that orphan ORFs should still remain candidates for functional ORFs. In support of this model, interstrain intraspecies genome sequence variation is lower across orphan ORFs than in intergenic regions, indicating that orphan ORFs endure functional constraints and resist deleterious mutations. We conclude that ORFs should be evaluated based on multiple levels of evidence and not be removed from ORFeome annotation solely based on low sequence conservation in other species. Rather, such ORFs might be important for micro-evolutionary divergence between species.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18502943      PMCID: PMC2493439          DOI: 10.1101/gr.076661.108

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  39 in total

1.  Genomics. Defining genes in the genomics era.

Authors:  Michael Snyder; Mark Gerstein
Journal:  Science       Date:  2003-04-11       Impact factor: 47.728

2.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

Authors:  Anne-Claude Gavin; Markus Bösche; Roland Krause; Paola Grandi; Martina Marzioch; Andreas Bauer; Jörg Schultz; Jens M Rick; Anne-Marie Michon; Cristina-Maria Cruciat; Marita Remor; Christian Höfert; Malgorzata Schelder; Miro Brajenovic; Heinz Ruffner; Alejandro Merino; Karin Klein; Manuela Hudak; David Dickson; Tatjana Rudi; Volker Gnau; Angela Bauch; Sonja Bastuck; Bettina Huhse; Christina Leutwein; Marie-Anne Heurtier; Richard R Copley; Angela Edelmann; Erich Querfurth; Vladimir Rybin; Gerard Drewes; Manfred Raida; Tewis Bouwmeester; Peer Bork; Bertrand Seraphin; Bernhard Kuster; Gitte Neubauer; Giulio Superti-Furga
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

3.  Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry.

Authors:  Yuen Ho; Albrecht Gruhler; Adrian Heilbut; Gary D Bader; Lynda Moore; Sally-Lin Adams; Anna Millar; Paul Taylor; Keiryn Bennett; Kelly Boutilier; Lingyun Yang; Cheryl Wolting; Ian Donaldson; Søren Schandorff; Juanita Shewnarane; Mai Vo; Joanne Taggart; Marilyn Goudreault; Brenda Muskat; Cris Alfarano; Danielle Dewar; Zhen Lin; Katerina Michalickova; Andrew R Willems; Holly Sassi; Peter A Nielsen; Karina J Rasmussen; Jens R Andersen; Lene E Johansen; Lykke H Hansen; Hans Jespersen; Alexandre Podtelejnikov; Eva Nielsen; Janne Crawford; Vibeke Poulsen; Birgitte D Sørensen; Jesper Matthiesen; Ronald C Hendrickson; Frank Gleeson; Tony Pawson; Michael F Moran; Daniel Durocher; Matthias Mann; Christopher W V Hogue; Daniel Figeys; Mike Tyers
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

4.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Authors:  P Uetz; L Giot; G Cagney; T A Mansfield; R S Judson; J R Knight; D Lockshon; V Narayan; M Srinivasan; P Pochart; A Qureshi-Emili; Y Li; B Godwin; D Conover; T Kalbfleisch; G Vijayadamodar; M Yang; M Johnston; S Fields; J M Rothberg
Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962

5.  Subcellular localization of the yeast proteome.

Authors:  Anuj Kumar; Seema Agarwal; John A Heyman; Sandra Matson; Matthew Heidtman; Stacy Piccirillo; Lara Umansky; Amar Drawid; Ronald Jansen; Yang Liu; Kei-Hoi Cheung; Perry Miller; Mark Gerstein; G Shirleen Roeder; Michael Snyder
Journal:  Genes Dev       Date:  2002-03-15       Impact factor: 11.361

6.  Development of a strand-specific RT-PCR based assay to detect the replicative form of hepatitis C virus RNA.

Authors:  J K Craggs; J K Ball; B J Thomson; W L Irving; A M Grabowska
Journal:  J Virol Methods       Date:  2001-05       Impact factor: 2.014

7.  A comprehensive two-hybrid analysis to explore the yeast protein interactome.

Authors:  T Ito; T Chiba; R Ozawa; M Yoshida; M Hattori; Y Sakaki
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

8.  The evolutionary analysis of "orphans" from the Drosophila genome identifies rapidly diverging and incorrectly annotated genes.

Authors:  K J Schmid; C F Aquadro
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

9.  Finding functional features in Saccharomyces genomes by phylogenetic footprinting.

Authors:  Paul Cliften; Priya Sudarsanam; Ashwin Desikan; Lucinda Fulton; Bob Fulton; John Majors; Robert Waterston; Barak A Cohen; Mark Johnston
Journal:  Science       Date:  2003-05-29       Impact factor: 47.728

10.  Sequencing and comparison of yeast species to identify genes and regulatory elements.

Authors:  Manolis Kellis; Nick Patterson; Matthew Endrizzi; Bruce Birren; Eric S Lander
Journal:  Nature       Date:  2003-05-15       Impact factor: 49.962

View more
  14 in total

1.  Undetected antisense tRNAs in mitochondrial genomes?

Authors:  Hervé Seligmann
Journal:  Biol Direct       Date:  2010-06-16       Impact factor: 4.540

2.  Novel low abundance and transient RNAs in yeast revealed by tiling microarrays and ultra high-throughput sequencing are not conserved across closely related yeast species.

Authors:  Albert Lee; Kasper Daniel Hansen; James Bullard; Sandrine Dudoit; Gavin Sherlock
Journal:  PLoS Genet       Date:  2008-12-19       Impact factor: 5.917

Review 3.  Gene Ontology and the annotation of pathogen genomes: the case of Candida albicans.

Authors:  Martha B Arnaud; Maria C Costanzo; Prachi Shah; Marek S Skrzypek; Gavin Sherlock
Journal:  Trends Microbiol       Date:  2009-07-03       Impact factor: 17.079

4.  Proto-genes and de novo gene birth.

Authors:  Anne-Ruxandra Carvunis; Thomas Rolland; Ilan Wapinski; Michael A Calderwood; Muhammed A Yildirim; Nicolas Simonis; Benoit Charloteaux; César A Hidalgo; Justin Barbette; Balaji Santhanam; Gloria A Brar; Jonathan S Weissman; Aviv Regev; Nicolas Thierry-Mieg; Michael E Cusick; Marc Vidal
Journal:  Nature       Date:  2012-07-19       Impact factor: 49.962

5.  Novel genes exhibit distinct patterns of function acquisition and network integration.

Authors:  John A Capra; Katherine S Pollard; Mona Singh
Journal:  Genome Biol       Date:  2010-12-27       Impact factor: 13.583

6.  Small toxic protein encoded on chromosome VII of Saccharomyces cerevisiae.

Authors:  Koji Makanae; Reiko Kintaka; Koji Ishikawa; Hisao Moriya
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

7.  Searching in microbial genomes for encoded small proteins.

Authors:  Jos Boekhorst; Greer Wilson; Roland J Siezen
Journal:  Microb Biotechnol       Date:  2011-05       Impact factor: 5.813

8.  iSeq: A New Double-Barcode Method for Detecting Dynamic Genetic Interactions in Yeast.

Authors:  Mia Jaffe; Gavin Sherlock; Sasha F Levy
Journal:  G3 (Bethesda)       Date:  2017-01-05       Impact factor: 3.154

9.  Re-annotation of protein-coding genes in the genome of saccharomyces cerevisiae based on support vector machines.

Authors:  Dan Lin; Xin Yin; Xianlong Wang; Peng Zhou; Feng-Biao Guo
Journal:  PLoS One       Date:  2013-07-10       Impact factor: 3.240

Review 10.  Differentiating protein-coding and noncoding RNA: challenges and ambiguities.

Authors:  Marcel E Dinger; Ken C Pang; Tim R Mercer; John S Mattick
Journal:  PLoS Comput Biol       Date:  2008-11-28       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.