Candidate reference genes for quantitative gene expression analysis in Lagerstroemia indica

被引:12
|
作者
Chen, Manli [1 ,2 ]
Wang, Qing [1 ,2 ]
Li, Ya [1 ,2 ]
Gao, Lulu [1 ,2 ]
Lv, Fenni [1 ,2 ]
Yang, Rutong [1 ,2 ]
Wang, Peng [1 ,2 ]
机构
[1] Inst Bot, Jiangsu Key Lab Res & Utilizat Plant Resources, Nanjing 210014, Peoples R China
[2] Chinese Acad Sci, Nanjing 210014, Peoples R China
基金
中国国家自然科学基金;
关键词
Lagerstroemia indica; Reference genes; Ornamental traits; Abiotic stresses; qPCR;
D O I
10.1007/s11033-021-06209-z
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Quantitative gene expression analysis by qPCR requires reference genes for normalization. Lagerstroemia indica (crape myrtle) is a popular ornamental plant in the world, but suitable endogenous reference genes are lacking. To find suitable reference genes, we evaluated the stabilities of nine candidate genes in six experimental data sets: six different tissues, three leaf colors, nine flower colors, and under three abiotic stresses (salt, drought, cold) using four statistical algorithms. A target gene LiMYB56 (homolog of Arabidopsis MYB56) was used to verify the authenticity and accuracy of the candidate reference genes. The results showed that the combination of two stably expressed reference genes, rather than a single reference gene, improved the accuracy of the qPCR. LiEF1 alpha-2 + LiEF1 alpha-3 was best for the tissue, salt treatment, and drought treatment sets; LiEF1 alpha-2 + LiEF1 alpha-1 was optimal for leaf color; LiEF1 alpha-2 + LiACT7 was optimal for cold treatment; and LiUBC + LiEF1 alpha-1 was best for the flower color set. Notably, LiEF1 alpha-2 had high expression stability in all six experimental sets, implying it may be a good reference gene for expression studies in L. indica. Our results will facilitate future gene expression studies in L. indica.
引用
收藏
页码:1677 / 1685
页数:9
相关论文
共 50 条
  • [41] Evaluation of Candidate Reference Genes for Gene Expression Normalization in Brassica juncea Using Real Time Quantitative RT-PCR
    Chandna, Ruby
    Augustine, Rehna
    Bisht, Naveen C.
    PLOS ONE, 2012, 7 (05):
  • [42] Global Transcriptome Analysis and Identification of the Flowering Regulatory Genes Expressed in Leaves of Lagerstroemia indica
    Zhang, Zhenyu
    Wang, Peng
    Li, Ya
    Ma, Lingling
    Li, Linfang
    Yang, Rutong
    Ma, Yuzhu
    Wang, Shu'an
    Wang, Qing
    DNA AND CELL BIOLOGY, 2014, 33 (10) : 680 - 688
  • [43] Evaluation of candidate reference genes for gene expression analysis in the brassica leaf beetle, Phaedon brassicae (Coleoptera: Chrysomelidae)
    Ma, Long
    Jiang, Ting
    Liu, Xiangya
    Xiao, Haijun
    Peng, Yingchuan
    Zhang, Wanna
    PLOS ONE, 2021, 16 (06):
  • [44] Validating candidate reference genes for qRT-PCR-based gene expression analysis in nonfunctioning pituitary adenomas
    Bujko, Mateusz
    Rusetska, Natalia
    Mikula, Michal
    PITUITARY, 2016, 19 (01) : 110 - 112
  • [45] Validating candidate reference genes for qRT-PCR-based gene expression analysis in nonfunctioning pituitary adenomas
    Mateusz Bujko
    Natalia Rusetska
    Michal Mikula
    Pituitary, 2016, 19 : 110 - 112
  • [46] Genome-wide identification and expression analysis of the BBX gene family in Lagerstroemia indica grown under light stress
    Deng, Fuyuan
    Zhang, Yi
    Chen, Yi
    Li, Yongxin
    Li, Lu
    Lei, Yuxing
    Li, Zhihui
    Pi, Bing
    Chen, Jianjun
    Qiao, Zhongquan
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2025, 297
  • [47] Investigation of Reference Genes in Vibrio parahaemolyticus for Gene Expression Analysis Using Quantitative RT-PCR
    Ma, Yue-jiao
    Sun, Xiao-hong
    Xu, Xiao-yan
    Zhao, Yong
    Pan, Ying-jie
    Hwang, Cheng-An
    Wu, Vivian C. H.
    PLOS ONE, 2015, 10 (12):
  • [48] Comprehensive selection of reference genes for quantitative gene expression analysis during seed development in Brassica napus
    Machado, Ronei Dorneles
    Christoff, Ana Paula
    Loss-Morais, Guilherme
    Margis-Pinheiro, Marcia
    Margis, Rogerio
    Koerbes, Ana Paula
    PLANT CELL REPORTS, 2015, 34 (07) : 1139 - 1149
  • [49] Evaluation of Reference Genes for Gene Expression Analysis Using Quantitative RT-PCR in Azospirillum brasilense
    McMillan, Mary
    Pereg, Lily
    PLOS ONE, 2014, 9 (05):
  • [50] Identification and testing of reference genes for Sesame gene expression analysis by quantitative real-time PCR
    Wei, Libin
    Miao, Hongmei
    Zhao, Ruihong
    Han, Xiuhua
    Zhang, Tide
    Zhang, Haiyang
    PLANTA, 2013, 237 (03) : 873 - 889