Evidence map›Paper›PMID 39587505›Full record

ArticleBMC genomics2024

Genome-wide identification, characterization and expression analysis of key gene families in RNA silencing in centipedegrass.

Siyu Liu, Xiong Lei, Wenlong Gou, Chunsen Xiong, Wei Min, Dandan Kong, Xiaoyun Wang, Tianqi Liu, Yao Ling, Xiao Ma and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Genome-wide identification and characterization ofFrontiers in plant science · 2026
    Article
  3. 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

11 authors.

Siyu Liu *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Xiong Lei *Sichuan Academy of Grassland Science, Chengdu, Sichuan, 611731, China.
Wenlong GouSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China.
Chunsen XiongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Wei MinAba County Bureau of Science, Technology and Agriculture and Animal Husbandry, Aba, Sichuan, 624600, China.
Dandan KongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Xiaoyun WangCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Tianqi LiuCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Yao LingCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Xiao MaCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China.
Junming ZhaoCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu , Sichuan, 611130, China. junmingzhao163@163.com.

Funding

the National Natural Science Foundation of China 32071885the Sichuan Forestry and Grassland Science and Technology Innovation Team Funding CXTD2024005the Sichuan Science and Technology Program 2024YFHZ0300
6 · The paper itself

Abstract

backgroundArgonaute (AGO), Dicer-like (DCL), and RNA-dependent RNA polymerase (RDR) are essential components of RNA silencing pathways in plants. These components are crucial for the generation and regulatory functions of small RNAs, especially in plant development and response to environmental stresses. Despite their well-characterized functions in other plant species, there is limited information about these genes and their stress responses in centipedegrass (Eremochloa ophiuroides), a key turfgrass species.

resultsUsing genome-wide analysis we identified 20 AGO, 6 DCL, and 10 RDR members in centipedegrass and provided a comprehensive overview of their characteristics. We performed the chromosomal location, gene duplication, syntenic analysis, conserve motif, gene structure, and cis-acting elements analysis. And conducted phylogenetic analyses to clarify the evolutionary relationships among the EoAGO, EoDCL, and EoRDR gene families. Three-dimensional modeling prediction of EoAGO, EoDCL, and EoRDR proteins supported the phylogenetic classification. Furthermore, we examined the expression patterns of these genes in different tissues (spike, stem, leaf, root, and flower) and under different stress conditions (cold, salt, drought, aluminum, and herbicide) using RT-qPCR. The results revealed that most of EoAGO, EoDCL, and EoRDR genes were upregulated in response to multiple abiotic stresses, while some exhibited unique responses, suggesting potential specialized regulatory functions.

conclusionIn this study, we performed a comprehensive genome‑wide identification, and phylogenetic and expression pattern analyses of the EoAGO, EoDCL and EoRDR gene families. Our analysis provides a foundation for future research on the RNA silence elements of turfgrass, and affords scientific basis and insights for clarifying the expression patterns of EoAGO, EoDCL and EoRDR genes under adversity stress. Further functional validation and molecular breeding of these genes can be carried out for enhancing the stress resistance of centipedegrass.

Indexed as

Gene Expression Regulation, PlantMultigene FamilyPhylogenyPoaceaeArgonaute ProteinsGene DuplicationGene Expression ProfilingGenome, PlantPlant ProteinsRNA-Dependent RNA PolymeraseRNA InterferenceStress, PhysiologicalSyntenyArgonaute ProteinsPlant ProteinsRNA-Dependent RNA PolymeraseAbiotic stressesAGOCentipedegrassDCLGene familyRDR

Identifiers

PMID39587505
PMCPMC11590561

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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.