An integrative approach to identify hexaploid wheat miRNAome associated with development and tolerance to abiotic stress

BMC Genomics

Volumn 16, Issue 1, 2015, Pages

  Agharbaoui, Zahra ^a   Leclercq, Mickael ^a,b   Remita, Mohamed Amine ^a   Badawi, Mohamed A ^a   Lord, Etienne ^a   Houde, Mario ^a   Danyluk, Jean ^a   Diallo, Abdoulaye Baniré ^a   Sarhan, Fathey ^a  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Abiotic stress; Deep sequencing; Development; Expressed sequenced tags; MiRNA prediction; Triticum aestivum. L; Vernalization

Indexed keywords

ALUMINUM; AUXIN; MICRORNA; SODIUM CHLORIDE; PLANT RNA;

ABIOTIC STRESS; ARTICLE; CLADISTICS; COLD; CONTROLLED STUDY; FLOWERING; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE ONTOLOGY; NONHUMAN; PHOTOSYNTHESIS; PLANT DEVELOPMENT; RNA ANALYSIS; SECONDARY METABOLISM; SIGNAL TRANSDUCTION; TRITICUM AESTIVUM; BIOLOGY; GENE EXPRESSION REGULATION; GENETICS; GROWTH, DEVELOPMENT AND AGING; MACHINE LEARNING; PHYSIOLOGICAL STRESS; POLYPLOIDY; PROCEDURES; SPECIES DIFFERENCE; WHEAT;

TRITICUM AESTIVUM;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, PLANT; MACHINE LEARNING; MICRORNAS; POLYPLOIDY; RNA, PLANT; SPECIES SPECIFICITY; STRESS, PHYSIOLOGICAL; TRITICUM;

EID: 84929578666     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-015-1490-8     Document Type: Article

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