Jarvis ED

References (4)

Title : Sequencing three crocodilian genomes to illuminate the evolution of archosaurs and amniotes - St John_2012_Genome.Biol_13_415
Author(s) : St John JA , Braun EL , Isberg SR , Miles LG , Chong AY , Gongora J , Dalzell P , Moran C , Bed'hom B , Abzhanov A , Burgess SC , Cooksey AM , Castoe TA , Crawford NG , Densmore LD , Drew JC , Edwards SV , Faircloth BC , Fujita MK , Greenwold MJ , Hoffmann FG , Howard JM , Iguchi T , Janes DE , Khan SY , Kohno S , de Koning AJ , Lance SL , McCarthy FM , McCormack JE , Merchant ME , Peterson DG , Pollock DD , Pourmand N , Raney BJ , Roessler KA , Sanford JR , Sawyer RH , Schmidt CJ , Triplett EW , Tuberville TD , Venegas-Anaya M , Howard JT , Jarvis ED , Guillette LJ, Jr. , Glenn TC , Green RE , Ray DA
Ref : Genome Biol , 13 :415 , 2012
Abstract : The International Crocodilian Genomes Working Group (ICGWG) will sequence and assemble the American alligator (Alligator mississippiensis), saltwater crocodile (Crocodylus porosus) and Indian gharial (Gavialis gangeticus) genomes. The status of these projects and our planned analyses are described.
ESTHER : St John_2012_Genome.Biol_13_415
PubMedSearch : St John_2012_Genome.Biol_13_415
PubMedID: 22293439
Gene_locus related to this paper: allmi-a0a151m601 , allmi-a0a151mg34 , allmi-a0a151n729.1 , allmi-a0a151n729.2 , allmi-a0a151n730 , allmi-a0a151n794 , allmi-a0a151nb42 , allmi-a0a151p739 , allmi-a0a151pfy5 , allmi-a0a151nxh1 , allmi-a0a151mjy2 , allmi-a0a151m1n2 , allmi-a0a151m6e2 , allmi-a0a151nb40 , allmi-a0a151pim9 , allmi-a0a151pip0 , allmi-a0a151pit2 , allmi-a0a151ma81 , allmi-a0a151nut3.1 , allmi-a0a151nut3.2 , allmi-a0a151mdf3 , allmi-a0a151mwf8 , allmi-a0a151new6 , allmi-a0a151nc84 , allmi-a0a151n0a8 , allmi-a0a151nq31 , allmi-a0a151mdb6 , allsi-a0a1u7s7j5 , allsi-a0a1u7rvh6 , allmi-a0a151ly27 , allmi-a0a151phf3 , allsi-a0a1u7rrg3 , allsi-a0a1u8cvq6 , allsi-a0a1u8cyp8 , allsi-a0a1u7s8q9

Title : The genome of a songbird - Warren_2010_Nature_464_757
Author(s) : Warren WC , Clayton DF , Ellegren H , Arnold AP , Hillier LW , Kunstner A , Searle S , White S , Vilella AJ , Fairley S , Heger A , Kong L , Ponting CP , Jarvis ED , Mello CV , Minx P , Lovell P , Velho TA , Ferris M , Balakrishnan CN , Sinha S , Blatti C , London SE , Li Y , Lin YC , George J , Sweedler J , Southey B , Gunaratne P , Watson M , Nam K , Backstrom N , Smeds L , Nabholz B , Itoh Y , Whitney O , Pfenning AR , Howard J , Volker M , Skinner BM , Griffin DK , Ye L , McLaren WM , Flicek P , Quesada V , Velasco G , Lopez-Otin C , Puente XS , Olender T , Lancet D , Smit AF , Hubley R , Konkel MK , Walker JA , Batzer MA , Gu W , Pollock DD , Chen L , Cheng Z , Eichler EE , Stapley J , Slate J , Ekblom R , Birkhead T , Burke T , Burt D , Scharff C , Adam I , Richard H , Sultan M , Soldatov A , Lehrach H , Edwards SV , Yang SP , Li X , Graves T , Fulton L , Nelson J , Chinwalla A , Hou S , Mardis ER , Wilson RK
Ref : Nature , 464 :757 , 2010
Abstract : The zebra finch is an important model organism in several fields with unique relevance to human neuroscience. Like other songbirds, the zebra finch communicates through learned vocalizations, an ability otherwise documented only in humans and a few other animals and lacking in the chicken-the only bird with a sequenced genome until now. Here we present a structural, functional and comparative analysis of the genome sequence of the zebra finch (Taeniopygia guttata), which is a songbird belonging to the large avian order Passeriformes. We find that the overall structures of the genomes are similar in zebra finch and chicken, but they differ in many intrachromosomal rearrangements, lineage-specific gene family expansions, the number of long-terminal-repeat-based retrotransposons, and mechanisms of sex chromosome dosage compensation. We show that song behaviour engages gene regulatory networks in the zebra finch brain, altering the expression of long non-coding RNAs, microRNAs, transcription factors and their targets. We also show evidence for rapid molecular evolution in the songbird lineage of genes that are regulated during song experience. These results indicate an active involvement of the genome in neural processes underlying vocal communication and identify potential genetic substrates for the evolution and regulation of this behaviour.
ESTHER : Warren_2010_Nature_464_757
PubMedSearch : Warren_2010_Nature_464_757
PubMedID: 20360741
Gene_locus related to this paper: taegu-b5fyu7 , taegu-BCHE , taegu-h0z4h9 , taegu-h0z9w8 , taegu-h0zat6 , taegu-h0ze48 , taegu-h0zha8 , taegu-h0zkr8 , taegu-h0zqp3 , taegu-h0zz82 , taegu-h0zqs1 , taegu-h0yy64 , taegu-h0yv40 , taegu-h0yyt1 , taegu-h0zcc8 , taegu-h0z3k5 , taegu-h0yw95 , taegu-h0zkm7 , taegu-h1a198 , taegu-h0z6w2 , taegu-h0zl93 , taegu-h0zt33 , taegu-h0yp71 , taegu-h0ypu5 , taegu-h1a048 , taegu-h0ztq1 , fical-u3kau2 , 9pass-a0a093qu66 , taegu-h0z7g0 , fical-u3jnn0 , taegu-h0zb80 , taegu-h0zb89 , taegu-h0z994 , taegu-h0ztj6

Title : A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes - Wada_2006_Proc.Natl.Acad.Sci.U.S.A_103_15212
Author(s) : Wada K , Howard JT , McConnell P , Whitney O , Lints T , Rivas MV , Horita H , Patterson MA , White SA , Scharff C , Haesler S , Zhao S , Sakaguchi H , Hagiwara M , Shiraki T , Hirozane-Kishikawa T , Skene P , Hayashizaki Y , Carninci P , Jarvis ED
Ref : Proc Natl Acad Sci U S A , 103 :15212 , 2006
Abstract : Songbirds have one of the most accessible neural systems for the study of brain mechanisms of behavior. However, neuroethological studies in songbirds have been limited by the lack of high-throughput molecular resources and gene-manipulation tools. To overcome these limitations, we constructed 21 regular, normalized, and subtracted full-length cDNA libraries from brains of zebra finches in 57 developmental and behavioral conditions in an attempt to clone as much of the brain transcriptome as possible. From these libraries, approximately 14,000 transcripts were isolated, representing an estimated 4,738 genes. With the cDNAs, we created a hierarchically organized transcriptome database and a large-scale songbird brain cDNA microarray. We used the arrays to reveal a set of 33 genes that are regulated in forebrain vocal nuclei by singing behavior. These genes clustered into four anatomical and six temporal expression patterns. Their functions spanned a large range of cellular and molecular categories, from signal transduction, trafficking, and structural, to synaptically released molecules. With the full-length cDNAs and a lentiviral vector system, we were able to overexpress, in vocal nuclei, proteins of representative singing-regulated genes in the absence of singing. This publicly accessible resource http:\/\/songbirdtranscriptome.net can now be used to study molecular neuroethological mechanisms of behavior.
ESTHER : Wada_2006_Proc.Natl.Acad.Sci.U.S.A_103_15212
PubMedSearch : Wada_2006_Proc.Natl.Acad.Sci.U.S.A_103_15212
PubMedID: 17018643
Gene_locus related to this paper: taegu-b5fyu7

Title : Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs - Okazaki_2002_Nature_420_563
Author(s) : Okazaki Y , Furuno M , Kasukawa T , Adachi J , Bono H , Kondo S , Nikaido I , Osato N , Saito R , Suzuki H , Yamanaka I , Kiyosawa H , Yagi K , Tomaru Y , Hasegawa Y , Nogami A , Schonbach C , Gojobori T , Baldarelli R , Hill DP , Bult C , Hume DA , Quackenbush J , Schriml LM , Kanapin A , Matsuda H , Batalov S , Beisel KW , Blake JA , Bradt D , Brusic V , Chothia C , Corbani LE , Cousins S , Dalla E , Dragani TA , Fletcher CF , Forrest A , Frazer KS , Gaasterland T , Gariboldi M , Gissi C , Godzik A , Gough J , Grimmond S , Gustincich S , Hirokawa N , Jackson IJ , Jarvis ED , Kanai A , Kawaji H , Kawasawa Y , Kedzierski RM , King BL , Konagaya A , Kurochkin IV , Lee Y , Lenhard B , Lyons PA , Maglott DR , Maltais L , Marchionni L , McKenzie L , Miki H , Nagashima T , Numata K , Okido T , Pavan WJ , Pertea G , Pesole G , Petrovsky N , Pillai R , Pontius JU , Qi D , Ramachandran S , Ravasi T , Reed JC , Reed DJ , Reid J , Ring BZ , Ringwald M , Sandelin A , Schneider C , Semple CA , Setou M , Shimada K , Sultana R , Takenaka Y , Taylor MS , Teasdale RD , Tomita M , Verardo R , Wagner L , Wahlestedt C , Wang Y , Watanabe Y , Wells C , Wilming LG , Wynshaw-Boris A , Yanagisawa M , Yang I , Yang L , Yuan Z , Zavolan M , Zhu Y , Zimmer A , Carninci P , Hayatsu N , Hirozane-Kishikawa T , Konno H , Nakamura M , Sakazume N , Sato K , Shiraki T , Waki K , Kawai J , Aizawa K , Arakawa T , Fukuda S , Hara A , Hashizume W , Imotani K , Ishii Y , Itoh M , Kagawa I , Miyazaki A , Sakai K , Sasaki D , Shibata K , Shinagawa A , Yasunishi A , Yoshino M , Waterston R , Lander ES , Rogers J , Birney E , Hayashizaki Y
Ref : Nature , 420 :563 , 2002
Abstract : Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There is an international collaborative effort to identify all full-length mRNA transcripts from the mouse, and to ensure that each is represented in a physical collection of clones. Here we report the manual annotation of 60,770 full-length mouse complementary DNA sequences. These are clustered into 33,409 'transcriptional units', contributing 90.1% of a newly established mouse transcriptome database. Of these transcriptional units, 4,258 are new protein-coding and 11,665 are new non-coding messages, indicating that non-coding RNA is a major component of the transcriptome. 41% of all transcriptional units showed evidence of alternative splicing. In protein-coding transcripts, 79% of splice variations altered the protein product. Whole-transcriptome analyses resulted in the identification of 2,431 sense-antisense pairs. The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
ESTHER : Okazaki_2002_Nature_420_563
PubMedSearch : Okazaki_2002_Nature_420_563
PubMedID: 12466851
Gene_locus related to this paper: mouse-1lipg , mouse-1llip , mouse-1plrp , mouse-3neur , mouse-ABH15 , mouse-abhd4 , mouse-abhd5 , mouse-Abhd8 , mouse-Abhd11 , mouse-abhda , mouse-acot4 , mouse-adcl4 , mouse-AI607300 , mouse-BAAT , mouse-bphl , mouse-C87498 , mouse-Ldah , mouse-Ces1d , mouse-Ces2e , mouse-CMBL , mouse-DGLB , mouse-dpp9 , mouse-ES10 , mouse-F135A , mouse-FASN , mouse-hslip , mouse-hyes , mouse-Kansl3 , mouse-LIPH , mouse-LIPK , mouse-lipli , mouse-LIPM , mouse-lypla1 , mouse-lypla2 , mouse-MEST , mouse-MGLL , mouse-ndr4 , mouse-OVCA2 , mouse-pafa , mouse-pcp , mouse-ppce , mouse-Ppgb , mouse-PPME1 , mouse-q3uuq7 , mouse-Q8BLF1 , mouse-ACOT6 , mouse-Q8C1A9 , mouse-Q9DAI6 , mouse-Q80UX8 , mouse-Q8BGG9 , mouse-Q8C167 , mouse-rbbp9 , mouse-SERHL , mouse-tssp