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Computational identification of microRNAs in the strawberry (Fragaria x ananassa) genome sequence and validation of their precise sequences by miR-RACE.
Han, Jian; Li, Aying; Liu, Hong; Wen, Xicheng; Zhao, Mizhen; Korir, Nadira Bilkish; Korir, Nicholas Kibet; Wang, Chen; Fang, Jinggui.
Afiliación
  • Han J; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
  • Li A; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
  • Liu H; Department of Horticulture, Nanjing Jinling Institute of Technology, Nanjing 210038, China.
  • Wen X; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
  • Zhao M; Department of Horticulture, Nanjing Jinling Institute of Technology, Nanjing 210038, China.
  • Korir NB; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
  • Korir NK; Department of Agricultural Technology, Kenyatta University, P.O. Box, 43844-00100 Nairobi, Kenya.
  • Wang C; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
  • Fang J; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China. Electronic address: fanggg@njau.edu.cn.
Gene ; 536(1): 151-62, 2014 Feb 15.
Article en En | MEDLINE | ID: mdl-24333854
In plants, microRNAs (miRNAs) play significant roles in post-transcriptional gene regulation and have been found to control many genes involved in different biological and metabolic processes. Extensive studies were carried out to discover miRNAs and analyze their functions in model plant species, such as in Arabidopsis and rice that have been reported. In this research, we used bioinformatics to predict microRNAs in an important strawberry rootstock cultivar to discover and validate precise sequences of microRNAs in strawberry. By adopting a range of filtering criteria, we obtained 59 potential miRNAs belonging to 40 miRNA families from the Fragaria vesca genome. Using two specific 5' and 3' miRNA RACE PCR reactions and a sequence-directed cloning method, we accurately determined 34 precise sequences of candidate miRNAs, while six other sequences exhibited some minor divergence in their termini nucleotides, and 19 miRNAs that could not be cloned owing to expression abundance may be too low or these mirRNAs predicted could not be existing in strawberry. Potential target genes were further predicted for the miRNAs above. The expression of the 16 miRNAs unreported and having exact sequences and their targets by experiment could be detected in different tissues of strawberry ranging from roots, stems, leaves, flowers and fruits by qRT-PCR and some of them showed differential expression in various tissues. The functional analysis of 16 miRNAs and their targets was carried out. Finally, we conclude that there are 34 mirRNAs in strawberry and their targets play vital roles not only in growth and development, but also in diverse physiological processes. These results show that regulatory miRNAs exist in agronomically important strawberry and might have an important function in strawberry growth and development.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reacción en Cadena de la Polimerasa / Genoma de Planta / Fragaria / MicroARNs Tipo de estudio: Diagnostic_studies / Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Gene Año: 2014 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reacción en Cadena de la Polimerasa / Genoma de Planta / Fragaria / MicroARNs Tipo de estudio: Diagnostic_studies / Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Gene Año: 2014 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos