A neutral model of transcriptome evolution.
Philipp Khaitovich,Gunter Weiss,Michael Lachmann,Ines Hellmann,Wolfgang Enard,Bjoern Muetzel,Ute Wirkner,Wilhelm Ansorge,Svante Pääbo +8 more
Reads0
Chats0
TLDR
The results suggest that the majority of expression differences observed between species are selectively neutral or nearly neutral and likely to be of little or no functional significance, which should be based on null hypotheses assuming functional neutrality.Abstract:
Microarray technologies allow the identification of large numbers of expression differences within and between species. Although environmental and physiological stimuli are clearly responsible for changes in the expression levels of many genes, it is not known whether the majority of changes of gene expression fixed during evolution between species and between various tissues within a species are caused by Darwinian selection or by stochastic processes. We find the following: (1) expression differences between species accumulate approximately linearly with time; (2) gene expression variation among individuals within a species correlates positively with expression divergence between species; (3) rates of expression divergence between species do not differ significantly between intact genes and expressed pseudogenes; (4) expression differences between brain regions within a species have accumulated approximately linearly with time since these regions emerged during evolution. These results suggest that the majority of expression differences observed between species are selectively neutral or nearly neutral and likely to be of little or no functional significance. Therefore, the identification of gene expression differences between species fixed by selection should be based on null hypotheses assuming functional neutrality. Furthermore, it may be possible to apply a molecular clock based on expression differences to infer the evolutionary history of tissues.read more
Citations
More filters
Journal ArticleDOI
Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification
Itai Yanai,Hila Benjamin,Michael Shmoish,Vered Chalifa-Caspi,Maxim Shklar,Ron Ophir,Arren Bar-Even,Shirley Horn-Saban,Marilyn Safran,Eytan Domany,Doron Lancet,Orit Shmueli +11 more
TL;DR: The analyses provide a novel route to infer expression profiles for presumed ancestral nodes in the tissue dendrogram, whereby de novo enhancement and diminution of gene expression go hand in hand, and highlight the importance of gene suppression events.
Journal ArticleDOI
Functional organization of the transcriptome in human brain
Michael C. Oldham,Genevieve Konopka,Kazuya Iwamoto,Peter Langfelder,Tadafumi Kato,Steve Horvath,Daniel H. Geschwind +6 more
TL;DR: This work analyzed gene coexpression relationships in microarray data generated from specific human brain regions and identified modules of coexpressed genes that correspond to neurons, oligodendrocytes, astroCytes and microglia, providing an initial description of the transcriptional programs that distinguish the major cell classes of the human brain.
Journal ArticleDOI
Conservation and evolution of gene coexpression networks in human and chimpanzee brains
TL;DR: This work identifies modules of coexpressed genes that correspond to discrete brain regions and quantify their conservation between the species and introduces a method for identifying species-specific network connections and demonstrates how differential network connectivity can be used to identify key drivers of evolutionary change.
Journal ArticleDOI
Comparative studies of gene expression and the evolution of gene regulation.
TL;DR: Comparative studies in primates and how they are complemented by studies in model organisms are focused on to link gene regulatory changes to adaptive evolution of complex phenotypes.
Journal ArticleDOI
Neutral and adaptive variation in gene expression.
TL;DR: These analyses measure the expression of metabolic genes in common-gardened populations of the fish Fundulus heteroclitus whose habitat is distributed along a steep thermal gradient and identify genes evolving by natural selection.
References
More filters
Journal ArticleDOI
Initial sequencing and analysis of the human genome.
Eric S. Lander,Lauren Linton,Bruce W. Birren,Chad Nusbaum,Michael C. Zody,Jennifer Baldwin,Keri Devon,Ken Dewar,Michael Doyle,William Fitzhugh,Roel Funke,Diane Gage,Katrina Harris,Andrew Heaford,John Howland,Lisa Kann,Jessica A. Lehoczky,Rosie Levine,Paul A. McEwan,Kevin McKernan,James Meldrim,Jill P. Mesirov,Cher Miranda,William Morris,Jerome Naylor,Christina Raymond,Mark Rosetti,Ralph Santos,Andrew Sheridan,Carrie Sougnez,Nicole Stange-Thomann,Nikola Stojanovic,Aravind Subramanian,Dudley Wyman,Jane Rogers,John Sulston,R Ainscough,Stephan Beck,David Bentley,John Burton,C M Clee,Nigel P. Carter,Alan Coulson,Rebecca Deadman,Panos Deloukas,Andrew Dunham,Ian Dunham,Richard Durbin,Lisa French,Darren Grafham,Simon G. Gregory,Tim Hubbard,Sean Humphray,Adrienne Hunt,Matthew Jones,Christine Lloyd,Amanda McMurray,Lucy Matthews,Simon Mercer,Sarah Milne,James C. Mullikin,Andrew J. Mungall,Robert W. Plumb,Mark T. Ross,Ratna Shownkeen,Sarah Sims,Robert H. Waterston,Richard K. Wilson,LaDeana W. Hillier,John Douglas Mcpherson,Marco A. Marra,Elaine R. Mardis,Lucinda Fulton,Asif T. Chinwalla,Kymberlie H. Pepin,Warren Gish,Stephanie L. Chissoe,Michael C. Wendl,Kim D. Delehaunty,Tracie L. Miner,Andrew Delehaunty,Jason B. Kramer,Lisa Cook,Robert S. Fulton,Douglas L. Johnson,Patrick Minx,Sandra W. Clifton,Trevor Hawkins,Elbert Branscomb,Paul Predki,Paul G. Richardson,Sarah Wenning,Tom Slezak,Norman A. Doggett,Jan Fang Cheng,Anne S. Olsen,Susan Lucas,Christopher J. Elkin,Edward Uberbacher,Marvin Frazier,Richard A. Gibbs,Donna M. Muzny,Steven E. Scherer,John Bouck,Erica Sodergren,Kim C. Worley,Catherine M. Rives,James H. Gorrell,Michael L. Metzker,Susan L. Naylor,Raju Kucherlapati,David L. Nelson,George M. Weinstock,Yoshiyuki Sakaki,Asao Fujiyama,Masahira Hattori,Tetsushi Yada,Atsushi Toyoda,Takehiko Itoh,Chiharu Kawagoe,Hidemi Watanabe,Yasushi Totoki,Todd D. Taylor,Jean Weissenbach,Roland Heilig,William Saurin,François Artiguenave,Philippe Brottier,Thomas Brüls,Eric Pelletier,Catherine Robert,Patrick Wincker,André Rosenthal,Matthias Platzer,Gerald Nyakatura,Stefan Taudien,Andreas Rump,Douglas R. Smith,Lynn Doucette-Stamm,Marc Rubenfield,Keith Weinstock,Mei Lee Hong,Joann Dubois,Huanming Yang,Jun Yu,Jian Wang,Guyang Huang,Jun Gu,Leroy Hood,Lee Rowen,Anup Madan,Shizen Qin,Ronald W. Davis,Nancy A. Federspiel,A. Pia Abola,Michael Proctor,Bruce A. Roe,Feng Chen,Huaqin Pan,Juliane Ramser,Hans Lehrach,Richard Reinhardt,W. Richard McCombie,Melissa De La Bastide,Neilay Dedhia,H. Blöcker,K. Hornischer,Gabriele Nordsiek,Richa Agarwala,L. Aravind,Jeffrey A. Bailey,Alex Bateman,Serafim Batzoglou,Ewan Birney,Peer Bork,Daniel G. Brown,Christopher B. Burge,Lorenzo Cerutti,Hsiu Chuan Chen,Deanna M. Church,Michele Clamp,Richard R. Copley,Tobias Doerks,Sean R. Eddy,Evan E. Eichler,Terrence S. Furey,James E. Galagan,James G. R. Gilbert,Cyrus L. Harmon,Yoshihide Hayashizaki,David Haussler,Henning Hermjakob,Karsten Hokamp,Wonhee Jang,L. Steven Johnson,Thomas A. Jones,Simon Kasif,Arek Kaspryzk,Scot Kennedy,W. James Kent,Paul Kitts,Eugene V. Koonin,Ian F Korf,David Kulp,Doron Lancet,Todd M. Lowe,Aoife McLysaght,Tarjei S. Mikkelsen,John V. Moran,Nicola Mulder,Victor J. Pollara,Chris P. Ponting,Greg Schuler,Jörg Schultz,Guy Slater,Arian F.A. Smit,Elia Stupka,Joseph Szustakowki,Danielle Thierry-Mieg,Jean Thierry-Mieg,Lukas Wagner,John W. Wallis,Raymond Wheeler,Alan Williams,Yuri I. Wolf,Kenneth H. Wolfe,Shiaw Pyng Yang,Ru Fang Yeh,Francis S. Collins,Mark S. Guyer,Jane Peterson,Adam Felsenfeld,Kris A. Wetterstrand,Richard M. Myers,Jeremy Schmutz,Mark Dickson,Jane Grimwood,David R. Cox,Maynard V. Olson,Rajinder Kaul,Christopher K. Raymond,Nobuyoshi Shimizu,Kazuhiko Kawasaki,Shinsei Minoshima,Glen A. Evans,Maria Athanasiou,Roger A. Schultz,Aristides Patrinos,Michael J. Morgan +248 more
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Journal ArticleDOI
R: A Language for Data Analysis and Graphics
Ross Ihaka,Robert Gentleman +1 more
TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
Book
Principles of Neural Science
TL;DR: The principles of neural science as mentioned in this paper have been used in neural networks for the purpose of neural network engineering and neural networks have been applied in the field of neural networks, such as:
Journal ArticleDOI
BLAT—The BLAST-Like Alignment Tool
TL;DR: How BLAT was optimized is described, which is more accurate and 500 times faster than popular existing tools for mRNA/DNA alignments and 50 times faster for protein alignments at sensitivity settings typically used when comparing vertebrate sequences.
Journal ArticleDOI
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
TL;DR: Three methods of performing normalization at the probe intensity level are presented: a one number scaling based algorithm and a method that uses a non-linear normalizing relation by comparing the variability and bias of an expression measure and the simplest and quickest complete data method is found to perform favorably.