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Whole Genome Metabolism - Glycine max

ABSTRACT:

Whole Genome Metabolism of "Glycine max"
This is a whole genome metabolism model of Glycine max.
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: BMID000000141055 .
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: BMID000000141055 | biostudies-other |

SECONDARY ACCESSION(S): 24180668

REPOSITORIES: biostudies-other

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Publications

Genome sequence of the palaeopolyploid soybean.

Schmutz Jeremy J   Cannon Steven B SB   Schlueter Jessica J   Ma Jianxin J   Mitros Therese T   Nelson William W   Hyten David L DL   Song Qijian Q   Thelen Jay J JJ   Cheng Jianlin J   Xu Dong D   Hellsten Uffe U   May Gregory D GD   Yu Yeisoo Y   Sakurai Tetsuya T   Umezawa Taishi T   Bhattacharyya Madan K MK   Sandhu Devinder D   Valliyodan Babu B   Lindquist Erika E   Peto Myron M   Grant David D   Shu Shengqiang S   Goodstein David D   Barry Kerrie K   Futrell-Griggs Montona M   Abernathy Brian B   Du Jianchang J   Tian Zhixi Z   Zhu Liucun L   Gill Navdeep N   Joshi Trupti T   Libault Marc M   Sethuraman Anand A   Zhang Xue-Cheng XC   Shinozaki Kazuo K   Nguyen Henry T HT   Wing Rod A RA   Cregan Perry P   Specht James J   Grimwood Jane J   Rokhsar Dan D   Stacey Gary G   Shoemaker Randy C RC   Jackson Scott A SA  

Nature 20100101 7278

Soybean (Glycine max) is one of the most important crop plants for seed protein and oil content, and for its capacity to fix atmospheric nitrogen through symbioses with soil-borne microorganisms. We sequenced the 1.1-gigabase genome by a whole-genome shotgun approach and integrated it with physical and high-density genetic maps to create a chromosome-scale draft sequence assembly. We predict 46,430 protein-coding genes, 70% more than Arabidopsis and similar to the poplar genome which, like soybe  ...[more]

PMID: 20075913

Publication: 1/2

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