Literature DB >> 30148033

Genes encoding membrane proteins showed stable expression in rice under aerobic condition: novel set of reference genes for expression studies.

Amol S Phule1,2, Kalyani M Barbadikar1, M S Madhav1, P Senguttuvel1, M B B Prasad Babu1, P Ananda Kumar1.   

Abstract

A set of reference genes expressing stably under aerobic and anaerobic conditions in rice is essential to execute omics studies relating to aerobic adaptations. Stability of expression of ten rice reference genes, viz. Actin, eEF-1a, eIF-5C, Exp1, Exp2, Memp, SKP1A, TF-SUI1, TPH, and UBQ5 was validated across six experimental sets in shoot and root tissues at seedling, tillering, and panicle initiation stages. Comprehensively, Memp (Membrane protein), TPH (Tumor protein homolog), and Exp1 (Expressed protein) were revealed as the most stable set with acceptable M and V value according to the gold standards of qRT-PCR using various algorithms/tools. The identified set of reference genes was validated using root trait genes, which showed concurrence with the functional expression patterns in the aerobic and anaerobic adapted cultivars. The Memp (Membrane protein), TPH (Tumor protein homolog), and Exp1 (Expressed protein) genes are the most stable reference genes across the root and shoot at various developmental stages under aerobic and anaerobic conditions in rice. This is the first study for accurate and reliable relative gene expression analysis in rice grown in aerobic and anaerobic conditions.

Entities:  

Keywords:  Aerobic; Anaerobic; Gene expression; Reference gene; Rice; qRT-PCR

Year:  2018        PMID: 30148033      PMCID: PMC6107477          DOI: 10.1007/s13205-018-1406-9

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  31 in total

Review 1.  Gene quantification using real-time quantitative PCR: an emerging technology hits the mainstream.

Authors:  David G Ginzinger
Journal:  Exp Hematol       Date:  2002-06       Impact factor: 3.084

2.  Dro1, a major QTL involved in deep rooting of rice under upland field conditions.

Authors:  Yusaku Uga; Kazutoshi Okuno; Masahiro Yano
Journal:  J Exp Bot       Date:  2011-01-06       Impact factor: 6.992

3.  Validation of housekeeping genes as internal control for studying gene expression in rice by quantitative real-time PCR.

Authors:  Mukesh Jain; Aashima Nijhawan; Akhilesh K Tyagi; Jitendra P Khurana
Journal:  Biochem Biophys Res Commun       Date:  2006-05-03       Impact factor: 3.575

4.  miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs.

Authors:  Fuliang Xie; Peng Xiao; Dongliang Chen; Lei Xu; Baohong Zhang
Journal:  Plant Mol Biol       Date:  2012-01-31       Impact factor: 4.076

5.  Evaluation of reference genes for RT-qPCR studies in the leaves of rice seedlings under salt stress.

Authors:  G P Moraes; L C Benitez; M N do Amaral; I L Vighi; P A Auler; L C da Maia; V J Bianchi; E J B Braga
Journal:  Genet Mol Res       Date:  2015-03-27

6.  Defining reference genes in Oryza sativa using organ, development, biotic and abiotic transcriptome datasets.

Authors:  Reena Narsai; Aneta Ivanova; Sophia Ng; James Whelan
Journal:  BMC Plant Biol       Date:  2010-03-31       Impact factor: 4.215

7.  Transcriptome Analysis of Rice Seedling Roots in Response to Potassium Deficiency.

Authors:  Xiaoqin Zhang; Hua Jiang; Hua Wang; Jun Cui; Jiahui Wang; Jiang Hu; Longbiao Guo; Qian Qian; Dawei Xue
Journal:  Sci Rep       Date:  2017-07-17       Impact factor: 4.379

8.  Understanding rice adaptation to varying agro-ecosystems: trait interactions and quantitative trait loci.

Authors:  Shalabh Dixit; Alexandre Grondin; Cheng-Ruei Lee; Amelia Henry; Thomas-Mitchell Olds; Arvind Kumar
Journal:  BMC Genet       Date:  2015-08-05       Impact factor: 2.797

9.  Genome-Wide Identification of New Reference Genes for qRT-PCR Normalization under High Temperature Stress in Rice Endosperm.

Authors:  Heng Xu; Jian-Dong Bao; Ji-Song Dai; Yongqing Li; Ying Zhu
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

10.  Genetic variation, linkage mapping of QTL and correlation studies for yield, root, and agronomic traits for aerobic adaptation.

Authors:  Nitika Sandhu; Sunita Jain; Arvind Kumar; Balwant Singh Mehla; Rajinder Jain
Journal:  BMC Genet       Date:  2013-10-29       Impact factor: 2.797

View more
  3 in total

1.  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

2.  Down regulation of transcripts involved in selective metabolic pathways as an acclimation strategy in nitrogen use efficient genotypes of rice under low nitrogen.

Authors:  C N Neeraja; Kalyani M Barbadikar; T Krishnakanth; Sonali Bej; I Subhakara Rao; B Srikanth; D Sanjeeva Rao; D Subrahmanyam; P Raghuveer Rao; S R Voleti
Journal:  3 Biotech       Date:  2021-01-16       Impact factor: 2.406

3.  RNA-seq reveals the involvement of key genes for aerobic adaptation in rice.

Authors:  Amol S Phule; Kalyani M Barbadikar; Sheshu Madhav Maganti; P Seguttuvel; D Subrahmanyam; M B B Prasad Babu; Polumetla A Kumar
Journal:  Sci Rep       Date:  2019-03-27       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.