کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5905469 | 1159895 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Validation of reference genes for quantitative real-time PCR during latex regeneration in rubber tree
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کلمات کلیدی
ADF18SqRT-PCR18S ribosomal RNA - RNA ریبوزوم 18Sstandard deviation - انحراف معیارCoefficient of Variation - ضریب تغییرactin depolymerizing factor - عامل تخلیه کننده اکتینquantitative real-time PCR - واکنش زنجیره ای پلیمراز واقعی در زمان واقعیquantification cycle - چرخه محاسبهHousekeeping genes - ژن های خانه دار
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Validation of reference genes for quantitative real-time PCR during latex regeneration in rubber tree Validation of reference genes for quantitative real-time PCR during latex regeneration in rubber tree](/preview/png/5905469.png)
چکیده انگلیسی
In rubber tree, latex regeneration is one of the decisive factors influencing the rubber yield, although its molecular regulation is not well known. Quantitative real-time PCR (qPCR) is a popular and powerful tool used to understand the molecular mechanisms of latex regeneration. However, the suitable reference genes required for qPCR are not available to investigate the expressions of target genes during latex regeneration. In this study, 20 candidate reference genes were selected and evaluated for their expression stability across the samples during the process of latex regeneration. All reference genes showed a relatively wide range of the threshold cycle values, and their stability was validated by four different algorithms (comparative delta Ct method, Bestkeeper, NormFinder and GeNorm). Three softwares (comparative delta Ct method, NormFinder and GeNorm) exported similar results that identify UBC4, ADF, UBC2a, eIF2 and ADF4 as the top five suitable references, and 18S as the least suitable one. The application of the screened references would improve accuracy and reliability of gene expression analysis in latex regeneration experiments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 563, Issue 2, 1 June 2015, Pages 190-195
Journal: Gene - Volume 563, Issue 2, 1 June 2015, Pages 190-195
نویسندگان
Xiangyu Long, Bin He, Xinsheng Gao, Yunxia Qin, Jianghua Yang, Yongjun Fang, Jiyan Qi, Chaorong Tang,