Fine-tuning tomato agronomic properties by computational genome redesign

PLoS Computational Biology

Volumn 8, Issue 6, 2012, Pages

  Carrera, Javier ^a,b   Fernández del Carmen, Asun ^a   Fernández Muñoz, Rafael ^c   Rambla, Jose Luis ^a   Pons, Clara ^a   Jaramillo, Alfonso ^b   Elena, Santiago F ^a,d   Granell, Antonio ^a  

^a Universitat Politècnica de València   (Spain)

^b UNIVERSITÉ D EVRY VAL D ESSONNE   (France)

^c INSTITUTO DE HORTOFRUTICULTURA SUBTROPICAL Y MEDITERRÁNEA LA MAYORA   (Spain)

^d SANTA FE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRONOMY; FRUITS; GENE EXPRESSION; METABOLIC ENGINEERING; METABOLISM;

BIOFACTORIES; ENGINEERING COMPUTATIONAL METHODS; ENGINEERING PRINCIPLES; FINE TUNING; KINETICS-BASED MODEL; LARGE INDUSTRIES; METABOLOMICS; PROPERTY; RECOMBINANT INBRED LINES; TRANSCRIPTOMICS;

REVERSE ENGINEERING;

AGRONOMIC TRAIT; ALGORITHM; ARTICLE; CELL METABOLISM; GENE EXPRESSION REGULATION; GENE INACTIVATION; GENE OVEREXPRESSION; GENE REGULATORY NETWORK; GENETIC ENGINEERING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METABOLITE; METABOLOMICS; PHENOTYPIC VARIATION; PLANT BIOTECHNOLOGY; PLANT GENOME; PLANT METABOLISM; PREDICTION; PROCESS OPTIMIZATION; RECOMBINANT INBRED STRAIN; RELIABILITY; SYNTHETIC BIOLOGY; TOMATO; TRANSCRIPTION REGULATION; TRANSCRIPTOMICS; AGRICULTURE; BIOLOGICAL MODEL; BIOLOGY; BIOTECHNOLOGY; COMPUTER SIMULATION; FRUIT; GENETICS; GROWTH, DEVELOPMENT AND AGING; METABOLISM; METABOLOME; PHENOTYPE; STATISTICAL MODEL; TRANSGENIC PLANT; UPREGULATION; VALIDATION STUDY;

LYCOPERSICON ESCULENTUM;

TRANSCRIPTOME;

AGRICULTURE; BIOTECHNOLOGY; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FRUIT; GENE KNOCKOUT TECHNIQUES; GENETIC ENGINEERING; GENOME, PLANT; LINEAR MODELS; LYCOPERSICON ESCULENTUM; METABOLOME; MODELS, GENETIC; PHENOTYPE; PLANTS, GENETICALLY MODIFIED; SYNTHETIC BIOLOGY; TRANSCRIPTOME; UP-REGULATION;

EID: 84864072165     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002528     Document Type: Article

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