Literature DB >> 22421886

Nitrogen starvation, salt and heat stress in coffee (Coffea arabica L.): identification and validation of new genes for qPCR normalization.

Kenia de Carvalho1, João Carlos Bespalhok Filho, Tiago Benedito dos Santos, Silvia Graciele Hülse de Souza, Luiz Gonzaga Esteves Vieira, Luis Filipe Protasio Pereira, Douglas Silva Domingues.   

Abstract

Abiotic stresses are among the most important factors that affect food production. One important step to face these environmental challenges is the transcriptional modulation. Quantitative real-time PCR is a rapid, sensitive, and reliable method for the detection of mRNAs and it has become a powerful tool to mitigate plant stress tolerance; however, suitable reference genes are required for data normalization. Reference genes for coffee plants during nitrogen starvation, salinity and heat stress have not yet been reported. We evaluated the expression stability of ten candidate reference genes using geNorm PLUS, NormFinder, and BestKeeper softwares, in plants submitted to nitrogen starvation, salt and heat stress. EF1, EF1α, GAPDH, MDH, and UBQ10 were ranked as the most stable genes in all stresses and software analyses, while RPL39 and RPII were classified as the less reliable references. For reference gene validation, the transcriptional pattern of a Coffea non-symbiotic hemoglobin (CaHb1) was analyzed using the two new recommended and the most unstable gene references for normalization. The most unstable gene may lead to incorrect interpretation of CaHb1 transcriptional analysis. Here, we recommend two new reference genes in Coffea for use in data normalization in abiotic stresses: MDH and EF1.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 22421886     DOI: 10.1007/s12033-012-9529-4

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  47 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Comparison of predictive methods and biological validation for qPCR reference genes in sunflower leaf senescence transcript analysis.

Authors:  Paula Fernandez; Julio A Di Rienzo; Sebastián Moschen; Guillermo A A Dosio; Luis A N Aguirrezábal; H Esteban Hopp; Norma Paniego; Ruth A Heinz
Journal:  Plant Cell Rep       Date:  2010-11-13       Impact factor: 4.570

3.  Oleosin gene family of Coffea canephora: quantitative expression analysis of five oleosin genes in developing and germinating coffee grain.

Authors:  Andrew J Simkin; Tingzhi Qian; Victoria Caillet; Franck Michoux; Mohamed Ben Amor; Chenwei Lin; Steve Tanksley; James McCarthy
Journal:  J Plant Physiol       Date:  2006-01-26       Impact factor: 3.549

4.  A class 1 hemoglobin gene from Alnus firma functions in symbiotic and nonsymbiotic tissues to detoxify nitric oxide.

Authors:  Fuyuko Sasakura; Toshiki Uchiumi; Yoshikazu Shimoda; Akihiro Suzuki; Katsumi Takenouchi; Shiro Higashi; Mikiko Abe
Journal:  Mol Plant Microbe Interact       Date:  2006-04       Impact factor: 4.171

5.  Characterization and expression analysis of genes directing galactomannan synthesis in coffee.

Authors:  Martial Pré; Victoria Caillet; Julien Sobilo; James McCarthy
Journal:  Ann Bot       Date:  2008-06-18       Impact factor: 4.357

6.  Identification and evaluation of new reference genes in Gossypium hirsutum for accurate normalization of real-time quantitative RT-PCR data.

Authors:  Sinara Artico; Sarah M Nardeli; Osmundo Brilhante; Maria Fátima Grossi-de-Sa; Marcio Alves-Ferreira
Journal:  BMC Plant Biol       Date:  2010-03-21       Impact factor: 4.215

7.  Sequence-specific binding of transfer RNA by glyceraldehyde-3-phosphate dehydrogenase.

Authors:  R Singh; M R Green
Journal:  Science       Date:  1993-01-15       Impact factor: 47.728

8.  An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development.

Authors:  Karen E Reid; Niclas Olsson; James Schlosser; Fred Peng; Steven T Lund
Journal:  BMC Plant Biol       Date:  2006-11-14       Impact factor: 4.215

9.  Exploring valid reference genes for gene expression studies in Brachypodium distachyon by real-time PCR.

Authors:  Shin-Young Hong; Pil Joon Seo; Moon-Sik Yang; Fengning Xiang; Chung-Mo Park
Journal:  BMC Plant Biol       Date:  2008-11-07       Impact factor: 4.215

10.  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

View more
  21 in total

1.  Homeologous genes involved in mannitol synthesis reveal unequal contributions in response to abiotic stress in Coffea arabica.

Authors:  Kenia de Carvalho; Carmen L O Petkowicz; Getulio T Nagashima; João C Bespalhok Filho; Luiz G E Vieira; Luiz F P Pereira; Douglas S Domingues
Journal:  Mol Genet Genomics       Date:  2014-05-27       Impact factor: 3.291

2.  Selection of reference genes for quantitative reverse-transcription polymerase chain reaction normalization in Brassica napus under various stress conditions.

Authors:  Zheng Wang; Yu Chen; Hedi Fang; Haifeng Shi; Keping Chen; Zhiyan Zhang; Xiaoli Tan
Journal:  Mol Genet Genomics       Date:  2014-04-27       Impact factor: 3.291

3.  Transcriptome analysis in Coffea eugenioides, an Arabica coffee ancestor, reveals differentially expressed genes in leaves and fruits.

Authors:  Priscila Mary Yuyama; Osvaldo Reis Júnior; Suzana Tiemi Ivamoto; Douglas Silva Domingues; Marcelo Falsarella Carazzolle; Gonçalo Amarante Guimarães Pereira; Pierre Charmetant; Thierry Leroy; Luiz Filipe Protasio Pereira
Journal:  Mol Genet Genomics       Date:  2015-09-03       Impact factor: 3.291

4.  Identification and evaluation of reference genes for quantitative real-time PCR analysis in Passiflora edulis under stem rot condition.

Authors:  Yanyan Wu; Qinglan Tian; Weihua Huang; Jieyun Liu; Xiuzhong Xia; Xinghai Yang; Haifei Mou
Journal:  Mol Biol Rep       Date:  2020-03-25       Impact factor: 2.316

5.  The urea transporter DUR3 is differentially regulated by abiotic and biotic stresses in coffee plants.

Authors:  Tiago Benedito Dos Santos; Viviane Y Baba; Luiz Gonzaga Esteves Vieira; Luiz Filipe Protasio Pereira; Douglas Silva Domingues
Journal:  Physiol Mol Biol Plants       Date:  2021-02-04

6.  Validation of suitable reference genes for gene expression analysis in the halophyte Salicornia europaea by real-time quantitative PCR.

Authors:  Xinlong Xiao; Jinbiao Ma; Junru Wang; Xiaomeng Wu; Pengbo Li; Yinan Yao
Journal:  Front Plant Sci       Date:  2015-01-21       Impact factor: 5.753

7.  Galactinol synthase transcriptional profile in two genotypes of Coffea canephora with contrasting tolerance to drought.

Authors:  Tiago Benedito Dos Santos; Rogério Barbosa de Lima; Getúlio Takashi Nagashima; Carmen Lucia de Oliveira Petkowicz; Valéria Carpentieri-Pípolo; Luiz Filipe Protasio Pereira; Douglas Silva Domingues; Luiz Gonzaga Esteves Vieira
Journal:  Genet Mol Biol       Date:  2015-05-01       Impact factor: 1.771

8.  Selection of suitable reference genes for qPCR normalization under abiotic stresses in Oenanthe javanica (BI.) DC.

Authors:  Qian Jiang; Feng Wang; Meng-Yao Li; Jing Ma; Guo-Fei Tan; Ai-Sheng Xiong
Journal:  PLoS One       Date:  2014-03-20       Impact factor: 3.240

9.  Reference gene selection for quantitative real-time RT-PCR normalization in Iris. lactea var. chinensis roots under cadmium, lead, and salt stress conditions.

Authors:  Chun-Sun Gu; Liang-qin Liu; Chen Xu; Yan-hai Zhao; Xu-dong Zhu; Su-Zhen Huang
Journal:  ScientificWorldJournal       Date:  2014-05-26

10.  Selection and Validation of Reference Genes for qRT-PCR in Cycas elongata.

Authors:  Yanting Hu; Tian Deng; Letian Chen; Hong Wu; Shouzhou Zhang
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.