Reference gene selection for RT-qPCR analysis of Chrysanthemum lavandulifolium during its flowering stages

被引:39
|
作者
Fu, Jianxin [1 ]
Wang, Yi [1 ]
Huang, He [1 ]
Zhang, Chao [1 ]
Dai, Silan [1 ]
机构
[1] Beijing Forestry Univ, Coll Landscape Architecture, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Reference genes; RT-qPCR; Chrysanthemum lavandulifolium; Flowering; GeNorm; REAL-TIME PCR; GENOME-WIDE IDENTIFICATION; INTERNAL CONTROL GENES; VALID REFERENCE GENES; EXPRESSION ANALYSIS; HOUSEKEEPING GENES; NORMALIZATION; LEAF;
D O I
10.1007/s11032-012-9784-x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Quantitative real-time RT-PCR (RT-qPCR) is a technology that can be used to analyze the abundance of gene expression. Reference genes, which are assumed to remain at constant levels in different tissues at various developmental stages and photoperiodic treatments, were selected to analyze the expression levels of flowering time genes and floral development genes. Using digital gene expression technology, nine reference genes with moderate expression in the leaves of Chrysanthemum lavandulifolium at the juvenile phase (CK1) and the squaring stage (W1) were selected as the candidate reference genes for further study. A total of 115 biological samples of C. lavandulifolium were analyzed, including different tissues under various developmental stages and leaves with varied photoperiodic treatments. The stability of the nine reference genes was slightly variable across the samples, but MTP, SKIP16 and PGK were the most stable genes overall. In addition, the relative expression level of ClFT in different tissues of plants with the competence to flower was analyzed to verify the reference genes selected in this study. These studies provide a guide for selecting reference genes for analyzing the expression pattern of flowering time genes and floral development genes in C. lavandulifolium.
引用
收藏
页码:205 / 215
页数:11
相关论文
共 50 条
  • [21] Selection of Reference Genes for the Normalization of RT-qPCR Data in Gene Expression Studies in Insects: A Systematic Review
    Lu, Jing
    Yang, Chunxiao
    Zhang, Youjun
    Pan, Huipeng
    FRONTIERS IN PHYSIOLOGY, 2018, 9
  • [22] Selection and Evaluation of Reference Genes for RT-qPCR Analysis in Amorphophallus Konjac Based on Transcriptome Data
    Liu, Yanli
    Zhang, Chengcheng
    Harijati, Nunung
    Diao, Ying
    Liu, Erxi
    Hu, Zhongli
    GENES, 2023, 14 (08)
  • [23] Selection of stable reference genes for RT-qPCR in Salmo trutta
    Sun, Shuaijie
    Wang, Zhitong
    Yuan, Dongdong
    Ni, Mengke
    Xu, Huifen
    Wang, Wanliang
    Zhang, Chi
    Chen, Meiqun
    ZhaXi, Lamu
    Zhou, Jianshe
    Li, Ming
    AQUACULTURE REPORTS, 2022, 26
  • [24] Bacterial reference genes for gene expression studies by RT-qPCR: survey and analysis
    Danilo J. P. Rocha
    Carolina S. Santos
    Luis G. C. Pacheco
    Antonie van Leeuwenhoek, 2015, 108 : 685 - 693
  • [25] Evaluation of candidate reference genes for RT-qPCR analysis during developmental stages in striped murrel (Channa striata)
    Kumari, Rakhi
    Srivastava, Prem P.
    Mohanta, Kedar N.
    Kumar, Rajesh
    Das, Paramananda
    Sahoo, Lakshman
    Das, Gargee
    Nandanpawar, Priyanka C.
    Debbarma, Jackson
    Krishna, Gopal
    Siddaiah, Gunnur M.
    AQUACULTURE RESEARCH, 2022, 53 (18) : 6868 - 6877
  • [26] Bacterial reference genes for gene expression studies by RT-qPCR: survey and analysis
    Rocha, Danilo J. P.
    Santos, Carolina S.
    Pacheco, Luis G. C.
    ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY, 2015, 108 (03): : 685 - 693
  • [27] Validation of reference genes for RT-qPCR studies of gene expression in banana fruit under different experimental conditions
    Chen, Lei
    Zhong, Hai-ying
    Kuang, Jian-fei
    Li, Jian-guo
    Lu, Wang-jin
    Chen, Jian-ye
    PLANTA, 2011, 234 (02) : 377 - 390
  • [28] Selection of appropriate reference genes for RT-qPCR analysis under abiotic stress and hormone treatment in celery
    Feng, Kai
    Liu, Jie-xia
    Xing, Guo-Ming
    Sun, Sheng
    Li, Sen
    Duan, Ao-Qi
    Wang, Feng
    Li, Meng-Yao
    Xu, Zhi-Sheng
    Xiong, Ai-Sheng
    PEERJ, 2019, 7
  • [29] Selection of Suitable Reference Genes for RT-qPCR Gene Expression Analysis in Centipedegrass under Different Abiotic Stress
    Wang, Xiaoyun
    Shu, Xin
    Su, Xiaoli
    Xiong, Yanli
    Xiong, Yi
    Chen, Minli
    Tong, Qi
    Ma, Xiao
    Zhang, Jianbo
    Zhao, Junming
    GENES, 2023, 14 (10)
  • [30] Selection of suitable reference genes for expression analysis in human glioma using RT-qPCR
    Grube, Susanne
    Goettig, Tatjana
    Freitag, Diana
    Ewald, Christian
    Kalff, Rolf
    Walter, Jan
    JOURNAL OF NEURO-ONCOLOGY, 2015, 123 (01) : 35 - 42