Evidence map›Paper›PMID 37349677›Full record

ArticleBMC genomics2023

Genome-wide identification and immune response analysis of mitogen-activated protein kinase cascades in tea geometrid, Ectropis grisescens Warren (Geometridae, Lepidoptera).

Xiaozhu Wu, Chenghua Zhou, Xiaofang Li, Jingyi Lin, Luis Carlos Ramos Aguila, Feng Wen, Liande Wang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xiaozhu WuState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops; Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Chenghua ZhouState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops; Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Xiaofang LiState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops; Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Jingyi LinState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops; Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Luis Carlos Ramos AguilaState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops; Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Feng WenSchool of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239099, China. wenfeng332@126.com.
Liande WangState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops; Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. 000q030043@fafu.edu.cn.
Fujian Agriculture and Forestry University · CNJiujiang University · CN

Funding

Natural Science Foundation of Jiangxi Province 20202BABL203045Open Project of Key Laboratory of Biopesticides and Chemical Biology, Ministry of Education, Fujian Agriculture and Forestry University Keylab2020-01
6 · The paper itself

Abstract

backgroundTea geometrid Ectropis grisescens (Geometridae: Lepidoptera), is one of the most destructive defoliators in tea plantations in China. The MAPK cascade is known to be an evolutionarily conserved signaling module, acting as pivotal cores of host-pathogen interactions. Although the chromosome-level reference genome of E. grisescens was published, the whole MAPK cascade gene family has not been fully identified yet, especially the expression patterns of MAPK cascade gene family members upon an ecological biopesticide, Metarhizium anisopliae, remains to be understood.

resultsIn this study, we have identified 19 MAPK cascade gene family members in E. grisescens, including 5 MAPKs, 4 MAP2Ks, 8 MAP3Ks, and 2 MAP4Ks. The molecular evolution characteristics of the whole Eg-MAPK cascade gene family, including gene structures, protein structural organization, chromosomal localization, orthologs construction and gene duplication, were systematically investigated. Our results showed that the members of Eg-MAPK cascade gene family were unevenly distributed in 13 chromosomes, and the clustered members in each group shared similar structures of the genes and proteins. Gene expression data revealed that MAPK cascade genes were expressed in all four developmental stages of E. grisescens and were fairly and evenly distributed in four different larva tissues. Importantly, most of the MAPK cascade genes were induced or constitutively expressed upon M. anisopliae infection.

conclusionsIn summary, the present study was one of few studies on MAPK cascade gene in E. grisescens. The characterization and expression profiles of Eg-MAPK cascades genes might help develop new ecofriendly biological insecticides to protect tea trees.

Indexed as

Mitogen-Activated Protein KinasesMothsAnimalsLarvaMAP Kinase Signaling SystemPhylogenyTeaMitogen-Activated Protein KinasesTeaEctropis grisescensExpression patternMAP KinaseMetarhizium anisopliaeSignal transduction

Identifiers

PMID37349677
PMCPMC10286454
OpenAlexW4381683891

What OpenQuestion holds

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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.