Evidence map›Paper›PMID 33575959›Full record

ArticleMolecular biology reports2021

Candidate reference genes for quantitative gene expression analysis in Lagerstroemia indica.

Manli Chen, Qing Wang, Ya Li, Lulu Gao, Fenni Lv, Rutong Yang, Peng Wang

Abstract read
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In one paragraph

Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Plants (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Genome-Wide Identification, Expression, and Response toInternational journal of molecular sciences · 2023
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Manli ChenJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China.
Qing WangJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China.
Ya LiJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China.
Lulu GaoJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China.
Fenni LvJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China.
Rutong YangJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China. yangrt2000@126.com.
Peng WangJiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province & Chinese Academy of Sciences, Nanjing, 210014, China. wp280018@163.com.ORCID http://orcid.org/0000-0001-5918-6805
Institute of Botany · CN

Funding

Forestry Science And Technology Innovation And Promotion Program of Jiangsu Province LYKJ[2019]40Key R&D Program of Jiangsu Province Grant No. BE2017375National Natural Science Foundation of China (CN) Grant No.31770745
6 · The paper itself

Abstract

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. LiEF1α-2 + LiEF1α-3 was best for the tissue, salt treatment, and drought treatment sets; LiEF1α-2 + LiEF1α-1 was optimal for leaf color; LiEF1α-2 + LiACT7 was optimal for cold treatment; and LiUBC + LiEF1α-1 was best for the flower color set. Notably, LiEF1α-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.

Indexed as

AlgorithmsArabidopsis ProteinsCold-Shock ResponseDroughtsEukaryotic Initiation Factor-1FlowersGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantLagerstroemiaOrgan SpecificityPlant LeavesReal-Time Polymerase Chain ReactionSalt StressSensitivity and SpecificitySodium ChlorideArabidopsis ProteinsEukaryotic Initiation Factor-1eukaryotic peptide initiation factor-1AMYB56 protein, ArabidopsisSodium ChlorideTranscription FactorsAbiotic stressesLagerstroemia indicaOrnamental traitsqPCRReference genes

Identifiers

PMID33575959
OpenAlexW3126971132

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.