Evidence map›Paper›PMID 33045986›Full record

ArticleBMC genomics2020

Predicting and clustering plant CLE genes with a new method developed specifically for short amino acid sequences.

Zhe Zhang, Lei Liu, Melis Kucukoglu, Dongdong Tian, Robert M Larkin, Xueping Shi, Bo Zheng

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  6. Review
  7. A plant CLE peptide and its fungal mimic promote arbuscular mycorrhizal symbiosis via CRN-mediated ROS suppression.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. The rise of CLAVATA: evidence for CLAVATA3 and WOX signaling in the fern gametophyte.The Plant journal : for cell and molecular biology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Small secreted peptides encoded on the wheat (Frontiers in plant science · 2022
    Article
  16. Review
  17. Article
  18. Influence of SwitchgrassFrontiers in plant science · 2021
    Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Zhe ZhangKey Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China.
Lei LiuKey Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China.
Melis KucukogluInstitute of Biotechnology, Helsinki Institute of Life Science (HILIFE), University of Helsinki, 00014, Helsinki, Finland.
Dongdong TianKey Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China.
Robert M LarkinKey Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China.
Xueping ShiKey Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China. xpshi@mail.hzau.edu.cn.
Bo ZhengKey Laboratory of Horticultural Plant Biology of Ministry of Education, Huazhong Agricultural University, Wuhan, 430070, China. bo.zheng@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-5337-5477
Huazhong Agricultural University · CNUniversity of Helsinki · FI

Funding

Fundamental Research Funds for the Central Universities 2662018PY071Fundamental Research Funds for the Central Universities 2662020YLPY026National Key Research and Development Program of China 2016YFD0600103National Natural Science Foundation of China 31370673National Natural Science Foundation of China 31770639Postdoctoral Researcher Grant from Academy of Finland 326036
6 · The paper itself

Abstract

backgroundThe CLV3/ESR-RELATED (CLE) gene family encodes small secreted peptides (SSPs) and plays vital roles in plant growth and development by promoting cell-to-cell communication. The prediction and classification of CLE genes is challenging because of their low sequence similarity.

resultsWe developed a machine learning-aided method for predicting CLE genes by using a CLE motif-specific residual score matrix and a novel clustering method based on the Euclidean distance of 12 amino acid residues from the CLE motif in a site-weight dependent manner. In total, 2156 CLE candidates-including 627 novel candidates-were predicted from 69 plant species. The results from our CLE motif-based clustering are consistent with previous reports using the entire pre-propeptide. Characterization of CLE candidates provided systematic statistics on protein lengths, signal peptides, relative motif positions, amino acid compositions of different parts of the CLE precursor proteins, and decisive factors of CLE prediction. The approach taken here provides information on the evolution of the CLE gene family and provides evidence that the CLE and IDA/IDL genes share a common ancestor.

conclusionsOur new approach is applicable to SSPs or other proteins with short conserved domains and hence, provides a useful tool for gene prediction, classification and evolutionary analysis.

Indexed as

PeptidesPlantsProtein Sorting SignalsAmino Acid SequenceCluster AnalysisGene Expression Regulation, PlantPeptidesProtein Sorting SignalsCLEEuclidean distanceEvolutionGene clusteringGene predictionMachine learningPeptide hormone

Identifiers

PMID33045986
PMCPMC7552357
OpenAlexW3092240613

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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.