کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5907704 | 1160858 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Profiling microRNA expression during multi-staged date palm (Phoenix dactylifera L.) fruit development
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Profiling microRNA expression during multi-staged date palm (Phoenix dactylifera L.) fruit development Profiling microRNA expression during multi-staged date palm (Phoenix dactylifera L.) fruit development](/preview/png/5907704.png)
چکیده انگلیسی
MicroRNAs (miRNAs) play crucial roles in multiple stages of plant development and regulate gene expression at posttranscriptional and translational levels. In this study, we first identified 238 conserved miRNAs in date palm (Phoenix dactylifera) based on a high-quality genome assembly and defined 78 fruit-development-associated (FDA) miRNAs, whose expression profiles are variable at different fruit development stages. Using experimental data, we subsequently detected 276 novel P. dactylifera-specific FDA miRNAs and predicted their targets. We also revealed that FDA miRNAs function mainly in regulating genes involved in starch/sucrose metabolisms and other carbon metabolic pathways; among them, 221 FDA miRNAs exhibit negative correlation with their corresponding targets, which suggests their direct regulatory roles on mRNA targets. Our data define a comprehensive set of conserved and novel FDA miRNAs along with their expression profiles, which provide a basis for further experimentation in assigning discrete functions of these miRNAs in P. dactylifera fruit development.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Genomics - Volume 105, Issue 4, April 2015, Pages 242-251
Journal: Genomics - Volume 105, Issue 4, April 2015, Pages 242-251
نویسندگان
Chengqi Xin, Wanfei Liu, Qiang Lin, Xiaowei Zhang, Peng Cui, Fusen Li, Guangyu Zhang, Linlin Pan, Ali Al-Amer, Hailiang Mei, Ibrahim S. Al-Mssallem, Songnian Hu, Hasan Awad Al-Johi, Jun Yu,