Evidence map›Paper›PMID 41107709›Full record

ArticleBMC plant biology2025

Genome-wide identification and expression pattern analysis of the CPP transcription factor family in Medicago sativa L.

Xinyue Ma, Xianyang Li, Li Zhao, Yuqi Zhang, Hao Liu, Fei He, Mingna Li, Xue Wang, Ruicai Long, Junmei Kang and 3 more

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-Wide Analysis of thePlants (Basel, Switzerland) · 2026
    Article
  4. Genome-wide analysis of theFrontiers in plant science · 2026
    Article
  5. 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

13 authors.

Xinyue Ma *College of Life Science and Technology, Harbin Normal University, Harbin, 150025, China.
Xianyang Li *College of Life Science and Technology, Harbin Normal University, Harbin, 150025, China.
Li Zhao *College of Life Science and Technology, Harbin Normal University, Harbin, 150025, China.
Yuqi ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Hao LiuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Fei HeInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Mingna LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xue WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Ruicai LongInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Junmei KangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Qingchuan YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Changhong GuoCollege of Life Science and Technology, Harbin Normal University, Harbin, 150025, China. kaku3008@hrbnu.edu.cn.
Lin ChenInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. chenlin@caas.cn.

Funding

National Natural Science Foundation of China 32371757the major demonstration project "The Open Competition" for Seed Industry Science and Technology Innovation in Inner Mongolia No. 2022JBGS0016
6 · The paper itself

Abstract

backgroundThe Cysteine-rich Polycomb-like Protein (CPP) gene family is a small transcription factor family commonly found in animals and plants. It plays a crucial regulatory role in their reproductive development. To date, this gene family has been characterized in various species, such as Arabidopsis thaliana, Medicago truncatula, Oryza sativa, and Glycine max. However, no research has been done on the CPP gene family in Medicago sativa L.

resultsThis study used bioinformatics to identify 31 CPP gene family members in Medicago sativa L., spread across 20 of its 32 chromosomes and named MsCPP1-MsCPP31 in chromosomal order. Phylogenetic analysis classified the 31 MsCPP proteins into five subgroups (Group I-V), each with similar conserved motifs and gene structures. Promoter cis-acting element analysis found that over two-thirds of these genes have MBS (drought-inducibility) responsive elements, indicating the MsCPP gene family may mainly respond to drought stress. Transcriptomic data analysis showed two genes have tissue-specific expression and six are expressed in all tested tissues. Moreover, transcriptomic profiling revealed that 18, 18, and 21 family members respond to drought, cold, and salt stresses, respectively, highlighting the significant role of MsCPP genes in abiotic stress responses. RT-qPCR validation confirmed the transcriptional responses of selected MsCPP genes to drought and salt stress. Our characterization of the MsCPP gene family enhances our understanding of Medicago sativa L.'s molecular mechanisms for environmental adaptation and growth regulation.

conclusionThis study performed a comprehensive analysis of the CPP gene family in Medicago sativa L., covering gene structures, physicochemical characteristics, cis-acting elements, and expression patterns. The findings demonstrate that the MsCPP gene family is essential for the growth, development, hormone signaling, and stress response of Medicago sativa L.

Indexed as

Medicago sativaPlant ProteinsPolycomb-Group ProteinsTranscription FactorsDroughtsGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantMultigene FamilyPhylogenyStress, PhysiologicalPlant ProteinsPolycomb-Group ProteinsTranscription FactorsExpression pattern analysisGenome-wide analysisMedicago sativa L.MsCPP gene family

Identifiers

PMID41107709
PMCPMC12534965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.