Literature DB >> 29505835

Selection and validation of reference genes for quantitative real-time PCR in Artemisia sphaerocephala based on transcriptome sequence data.

Xiaowei Hu1, Lijing Zhang2, Shuzhen Nan1, Xiumei Miao1, Pengfang Yang1, Guoqin Duan1, Hua Fu3.   

Abstract

Artemisia sphaerocephala, a dicotyledonous perennial semi-shrub belonging to the Artemisia genus of the Compositae family, is widely distributed in northwestern China. This shrub is one of the most important pioneer plants which is capable of protecting rangelands from wind erosion. It therefore plays a vital role in maintaining desert ecosystem stability. In addition, to its use as a forage grass, it has excellent prospective applications as a source of plant oil and as a plant-based fuel. The use of internal genes is the basis for accurately assessing Real time quantitative PCR. In this study, based on transcriptome data of A. sphaerocephala, we analyzed 21 candidate internal genes to determine the optimal internal genes in this shrub. The stabilities of candidate genes were evaluated in 16 samples of A. sphaerocephala. Finally, UBC9 and TIP41-like were determined as the optimal reference genes in A. sphaerocephala by Delta Ct and three various programs. There were GeNorm, NormFinder and BestKeeper.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artemisia sphaerocephala; Reference gene; Stability; Transcriptome

Mesh:

Substances:

Year:  2018        PMID: 29505835     DOI: 10.1016/j.gene.2018.03.004

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  4 in total

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Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-09-30

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Authors:  Yanyan Wu; Qinglan Tian; Weihua Huang; Jieyun Liu; Xiuzhong Xia; Xinghai Yang; Haifei Mou
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4.  Transcriptome-based selection and validation of optimal house-keeping genes for skin research in goats (Capra hircus).

Authors:  Jipan Zhang; Chengchen Deng; Jialu Li; Yongju Zhao
Journal:  BMC Genomics       Date:  2020-07-18       Impact factor: 3.969

  4 in total

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