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Whole Genome Metabolism - Zea mays


ABSTRACT: Whole Genome Metabolism of "Zea mays" This is a whole genome metabolism model of Zea mays. This model has been automatically generated by the SuBliMinaL Toolbox and libAnnotationSBML using information coming from from KEGG (release 66, April 2013, accessed via the resource's web services interface) and, where relevant, augmented with metabolic pathway information extracted from MetaCyc (version 17.0, March 2013). This model has been produced by the path2models project and is currently hosted on BioModels Database and identified by: BMID000000140835 . Other models with the same genus include BMID000000025302 BMID000000025303 BMID000000025304 BMID000000025305 BMID000000025306 BMID000000025307 BMID000000025308 BMID000000025309 BMID000000025310 BMID000000025311 BMID000000025312 BMID000000025313 BMID000000025314 BMID000000025315 BMID000000025316 BMID000000025317 BMID000000025318 BMID000000025319 BMID000000025320 BMID000000025321 BMID000000025322 BMID000000025323 BMID000000025324 BMID000000025325 BMID000000025326 BMID000000025327 BMID000000025328 BMID000000025329 BMID000000025330 BMID000000025331 BMID000000132155 BMID000000132156 BMID000000132157 BMID000000132158 BMID000000132159 BMID000000132160 BMID000000132161 BMID000000132162 BMID000000132163 BMID000000132164 BMID000000132165 BMID000000132166 BMID000000132167 BMID000000132168 BMID000000132169 BMID000000132170 BMID000000132171 BMID000000132172 BMID000000132173 BMID000000132174 BMID000000132175 BMID000000132176 BMID000000132177 BMID000000132178 BMID000000132179 BMID000000132180 BMID000000132181 BMID000000132182 BMID000000132183 BMID000000132184 BMID000000132185 BMID000000132186 BMID000000132187 BMID000000132188 BMID000000132189 BMID000000132190 BMID000000132191 BMID000000132192 BMID000000132193 BMID000000132194 BMID000000132195 BMID000000132196 BMID000000132197 BMID000000132198 BMID000000132199 BMID000000132200 BMID000000132201 BMID000000132202 BMID000000132203 BMID000000132204 BMID000000132205 BMID000000132206 BMID000000132207 BMID000000132208 BMID000000132209 BMID000000132210 BMID000000132211 BMID000000132212 BMID000000132213 BMID000000132214 BMID000000132215 BMID000000132216 BMID000000132217 BMID000000132218 BMID000000132219 BMID000000132220 BMID000000132221 BMID000000132222 BMID000000132223 BMID000000132224 BMID000000132225 BMID000000132226 BMID000000132227 BMID000000132228 BMID000000132229 BMID000000132230 BMID000000132231 BMID000000132232 BMID000000132233 BMID000000132234 BMID000000132235 BMID000000132236 BMID000000132237 BMID000000132238 BMID000000132239 BMID000000132240 BMID000000132241 BMID000000132242 . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

SUBMITTER: Path2Models project  

PROVIDER: BMID000000140835 | BioModels | 2012-05-20

REPOSITORIES: BioModels

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Publications

The B73 maize genome: complexity, diversity, and dynamics.

Schnable Patrick S PS   Ware Doreen D   Fulton Robert S RS   Stein Joshua C JC   Wei Fusheng F   Pasternak Shiran S   Liang Chengzhi C   Zhang Jianwei J   Fulton Lucinda L   Graves Tina A TA   Minx Patrick P   Reily Amy Denise AD   Courtney Laura L   Kruchowski Scott S SS   Tomlinson Chad C   Strong Cindy C   Delehaunty Kim K   Fronick Catrina C   Courtney Bill B   Rock Susan M SM   Belter Eddie E   Du Feiyu F   Kim Kyung K   Abbott Rachel M RM   Cotton Marc M   Levy Andy A   Marchetto Pamela P   Ochoa Kerri K   Jackson Stephanie M SM   Gillam Barbara B   Chen Weizu W   Yan Le L   Higginbotham Jamey J   Cardenas Marco M   Waligorski Jason J   Applebaum Elizabeth E   Phelps Lindsey L   Falcone Jason J   Kanchi Krishna K   Thane Thynn T   Scimone Adam A   Thane Nay N   Henke Jessica J   Wang Tom T   Ruppert Jessica J   Shah Neha N   Rotter Kelsi K   Hodges Jennifer J   Ingenthron Elizabeth E   Cordes Matt M   Kohlberg Sara S   Sgro Jennifer J   Delgado Brandon B   Mead Kelly K   Chinwalla Asif A   Leonard Shawn S   Crouse Kevin K   Collura Kristi K   Kudrna Dave D   Currie Jennifer J   He Ruifeng R   Angelova Angelina A   Rajasekar Shanmugam S   Mueller Teri T   Lomeli Rene R   Scara Gabriel G   Ko Ara A   Delaney Krista K   Wissotski Marina M   Lopez Georgina G   Campos David D   Braidotti Michele M   Ashley Elizabeth E   Golser Wolfgang W   Kim HyeRan H   Lee Seunghee S   Lin Jinke J   Dujmic Zeljko Z   Kim Woojin W   Talag Jayson J   Zuccolo Andrea A   Fan Chuanzhu C   Sebastian Aswathy A   Kramer Melissa M   Spiegel Lori L   Nascimento Lidia L   Zutavern Theresa T   Miller Beth B   Ambroise Claude C   Muller Stephanie S   Spooner Will W   Narechania Apurva A   Ren Liya L   Wei Sharon S   Kumari Sunita S   Faga Ben B   Levy Michael J MJ   McMahan Linda L   Van Buren Peter P   Vaughn Matthew W MW   Ying Kai K   Yeh Cheng-Ting CT   Emrich Scott J SJ   Jia Yi Y   Kalyanaraman Ananth A   Hsia An-Ping AP   Barbazuk W Brad WB   Baucom Regina S RS   Brutnell Thomas P TP   Carpita Nicholas C NC   Chaparro Cristian C   Chia Jer-Ming JM   Deragon Jean-Marc JM   Estill James C JC   Fu Yan Y   Jeddeloh Jeffrey A JA   Han Yujun Y   Lee Hyeran H   Li Pinghua P   Lisch Damon R DR   Liu Sanzhen S   Liu Zhijie Z   Nagel Dawn Holligan DH   McCann Maureen C MC   SanMiguel Phillip P   Myers Alan M AM   Nettleton Dan D   Nguyen John J   Penning Bryan W BW   Ponnala Lalit L   Schneider Kevin L KL   Schwartz David C DC   Sharma Anupma A   Soderlund Carol C   Springer Nathan M NM   Sun Qi Q   Wang Hao H   Waterman Michael M   Westerman Richard R   Wolfgruber Thomas K TK   Yang Lixing L   Yu Yeisoo Y   Zhang Lifang L   Zhou Shiguo S   Zhu Qihui Q   Bennetzen Jeffrey L JL   Dawe R Kelly RK   Jiang Jiming J   Jiang Ning N   Presting Gernot G GG   Wessler Susan R SR   Aluru Srinivas S   Martienssen Robert A RA   Clifton Sandra W SW   McCombie W Richard WR   Wing Rod A RA   Wilson Richard K RK  

Science (New York, N.Y.) 20091101 5956


We report an improved draft nucleotide sequence of the 2.3-gigabase genome of maize, an important crop plant and model for biological research. Over 32,000 genes were predicted, of which 99.8% were placed on reference chromosomes. Nearly 85% of the genome is composed of hundreds of families of transposable elements, dispersed nonuniformly across the genome. These were responsible for the capture and amplification of numerous gene fragments and affect the composition, sizes, and positions of cent  ...[more]

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