Literature DB >> 26179072

Selection of reference genes for quantitative real-time PCR normalization in creeping bentgrass involved in four abiotic stresses.

Yu Chen1, Baoyun Hu1, Zhiqun Tan2, Jun Liu1, Zhimin Yang3, Zhihua Li1, Bingru Huang4.   

Abstract

KEY MESSAGE: This study identified stable reference genes for normalization of gene expression data in qRT-PCR analysis of leaf and root tissues in creeping bentgrass under four abiotic stresses. Examination of gene expression using quantitative real-time PCR (qRT-PCR) in plant responses to abiotic stresses can provide valuable information for stress-tolerance improvement. Selecting stable reference genes for qRT-PCR analysis is critically important. The objective of this study was to determine the stability of expression for eight candidate reference genes (ACT, EF1a, TUB, UPL7, GAPDH, PP2A, PEPKR1, and CACS) in two tissues (roots and leaves) of a perennial grass species under four abiotic stresses (salt, drought, cold, and heat) using four programs (GeNorm, NormFinder, BestKeeper, and RefFinder). The results showed that (1) the combinations of CACS and UPL7 or PP2A and ACT were stably expressed in salt-treated roots or leaves; (2) the combinations of GAPDH and CACS or PP2A and PEPKR1 were stable in roots and leaves under drought stress; (3) CACS and PP2A exhibited stable expression in cold-treated roots and the combination of EF1a and UPL7 was also stable in cold-treated leaves; and (4) CACS and PP2A were the two most stable reference genes in heat-stressed roots and UPL7 combined with GAPDH and PP2A was stably expressed in heat-stressed leaves. The qRT-PCR analysis of a target gene, AsSAP expression patterns in response to salinity and drought stress, confirmed the reliability of those selected and stable reference genes. Identification of stable reference genes in creeping bentgrass will improve assay accuracy for selecting stress-tolerance genes and identifying molecular mechanisms conferring stress tolerance in this species.

Entities:  

Keywords:  Abiotic stress; Creeping bentgrass; Reference genes; qRT-PCR

Mesh:

Year:  2015        PMID: 26179072     DOI: 10.1007/s00299-015-1830-9

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  35 in total

1.  Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data.

Authors:  Christian Ramakers; Jan M Ruijter; Ronald H Lekanne Deprez; Antoon F M Moorman
Journal:  Neurosci Lett       Date:  2003-03-13       Impact factor: 3.046

2.  Validation of reference genes for gene expression studies in peanut by quantitative real-time RT-PCR.

Authors:  Xiaoyuan Chi; Ruibo Hu; Qingli Yang; Xiaowen Zhang; Lijuan Pan; Na Chen; Mingna Chen; Zhen Yang; Tong Wang; Yanan He; Shanlin Yu
Journal:  Mol Genet Genomics       Date:  2011-12-28       Impact factor: 3.291

3.  Protein profile analysis of salt-responsive proteins in leaves and roots in two cultivars of creeping bentgrass differing in salinity tolerance.

Authors:  Chenping Xu; Tim Sibicky; Bingru Huang
Journal:  Plant Cell Rep       Date:  2010-04-02       Impact factor: 4.570

4.  Technical note: validation of internal control genes for gene expression analysis in bovine polymorphonuclear leukocytes.

Authors:  A De Ketelaere; K Goossens; L Peelman; C Burvenich
Journal:  J Dairy Sci       Date:  2006-10       Impact factor: 4.034

5.  Reference gene selection for qRT-PCR in Caragana korshinskii Kom. under different stress conditions.

Authors:  Qi Yang; Jiajia Yin; Gao Li; Liwang Qi; Feiyun Yang; Ruigang Wang; Guojing Li
Journal:  Mol Biol Rep       Date:  2014-01-23       Impact factor: 2.316

Review 6.  SAPs as novel regulators of abiotic stress response in plants.

Authors:  Jitender Giri; Prasant K Dansana; Kamakshi S Kothari; Gunjan Sharma; Shubha Vij; Akhilesh K Tyagi
Journal:  Bioessays       Date:  2013-05-02       Impact factor: 4.345

7.  Identification of heat stress-responsive genes in heat-adapted thermal Agrostis scabra by suppression subtractive hybridization.

Authors:  Jiang Tian; Faith C Belanger; Bingru Huang
Journal:  J Plant Physiol       Date:  2008-10-23       Impact factor: 3.549

8.  Evaluation of new reference genes in papaya for accurate transcript normalization under different experimental conditions.

Authors:  Xiaoyang Zhu; Xueping Li; Weixin Chen; Jianye Chen; Wangjin Lu; Lei Chen; Danwen Fu
Journal:  PLoS One       Date:  2012-08-31       Impact factor: 3.240

9.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

10.  Selection and validation of reference genes for gene expression analysis in switchgrass (Panicum virgatum) using quantitative real-time RT-PCR.

Authors:  Jacinta Gimeno; Nicholas Eattock; Allen Van Deynze; Eduardo Blumwald
Journal:  PLoS One       Date:  2014-03-12       Impact factor: 3.240

View more
  25 in total

1.  Identification of suitable internal control genes for transcriptional studies in Eleusine coracana under different abiotic stress conditions.

Authors:  Pradeep K Jatav; Ankita Sharma; Dinesh K Dahiya; Arif Khan; Atika Agarwal; S L Kothari; Sumita Kachhwaha
Journal:  Physiol Mol Biol Plants       Date:  2018-07-04

2.  Identification and validation of superior housekeeping gene(s) for qRT-PCR data normalization in Agave sisalana (a CAM-plant) under abiotic stresses.

Authors:  Muhammad Bilal Sarwar; Zarnab Ahmad; Batcho Agossa Anicet; Moon Sajid; Bushra Rashid; Sameera Hassan; Mukhtar Ahmed; Tayyab Husnain
Journal:  Physiol Mol Biol Plants       Date:  2020-02-04

3.  Selection of reliable reference genes for RT-qPCR during methyl jasmonate, salicylic acid and hydrogen peroxide treatments in Ganoderma lucidum.

Authors:  Xiaoxiao Lu; Yongzhi Liu; Linchao Zhao; Yongnan Liu; Mingwen Zhao
Journal:  World J Microbiol Biotechnol       Date:  2018-06-12       Impact factor: 3.312

4.  Selection of reliable reference genes for RT-qPCR analysis during developmental stages and abiotic stress in Setaria viridis.

Authors:  Polyana Kelly Martins; Valéria Mafra; Wagner Rodrigo de Souza; Ana Paula Ribeiro; Felipe Vinecky; Marcos Fernando Basso; Bárbara Andrade Dias Brito da Cunha; Adilson Kenji Kobayashi; Hugo Bruno Correa Molinari
Journal:  Sci Rep       Date:  2016-06-20       Impact factor: 4.379

5.  Candidate Reference Genes Selection and Application for RT-qPCR Analysis in Kenaf with Cytoplasmic Male Sterility Background.

Authors:  Bujin Zhou; Peng Chen; Aziz Khan; Yanhong Zhao; Lihong Chen; Dongmei Liu; Xiaofang Liao; Xiangjun Kong; Ruiyang Zhou
Journal:  Front Plant Sci       Date:  2017-09-01       Impact factor: 5.753

6.  Identification of Endogenous Reference Genes for RT-qPCR Expression Analysis in Urochloa brizantha Under Abiotic Stresses.

Authors:  Luciana Midori Takamori; Alyne Valéria Carrion Pereira; Gustavo Maia Souza; Luiz Gonzaga Esteves Vieira; Alessandra Ferreira Ribas
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

7.  Identification and Validation of Reference Genes for Seashore Paspalum Response to Abiotic Stresses.

Authors:  Yu Liu; Jun Liu; Lei Xu; Hui Lai; Yu Chen; Zhimin Yang; Bingru Huang
Journal:  Int J Mol Sci       Date:  2017-06-21       Impact factor: 5.923

8.  Selection of suitable reference genes for assessing gene expression in pearl millet under different abiotic stresses and their combinations.

Authors:  Radha Shivhare; Charu Lata
Journal:  Sci Rep       Date:  2016-03-14       Impact factor: 4.379

9.  Selection and validation of reference genes for RT-qPCR analysis in potato under abiotic stress.

Authors:  Xun Tang; Ning Zhang; Huaijun Si; Alejandro Calderón-Urrea
Journal:  Plant Methods       Date:  2017-10-16       Impact factor: 4.993

10.  Identification of reference genes for qRT-PCR in granulosa cells of healthy women and polycystic ovarian syndrome patients.

Authors:  Yue Lv; Shi Gang Zhao; Gang Lu; Chi Kwan Leung; Zhi Qiang Xiong; Xian Wei Su; Jin Long Ma; Wai Yee Chan; Hong Bin Liu
Journal:  Sci Rep       Date:  2017-07-31       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.