Evidence map›Paper›PMID 32933469›Full record

ArticleBMC genomics2020

Transcriptome response comparison between vector and non-vector aphids after feeding on virus-infected wheat plants.

Dandan Li, Chi Zhang, Zeqian Tong, Dan Su, Gaisheng Zhang, Shize Zhang, Huiyan Zhao, Zuqing Hu

Open 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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.9field-weighted citation impact, top 7% 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, 27 citations in OpenAlex.

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  6. Silencing of the Prophenoloxidase GeneInternational journal of molecular sciences · 2022
    Article
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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

8 authors at 2 institutions in 1 country.

Dandan LiState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China.
Chi ZhangState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China.
Zeqian TongState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China.
Dan SuState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China.
Gaisheng ZhangMinistry of Education, Key Laboratory of Crop Heterosis of Shaanxi Province, National Yangling Agricultural Biotechnology and Breeding Center, Yangling Branch of State Wheat Improvement Centre/Wheat Breeding Engineering Research Center, Northwest A&F University, Yangling, China.
Shize ZhangState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China.
Huiyan ZhaoState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China.
Zuqing HuState Key Laboratory of Crop Stress Biology in Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, China. huzuqing@nwsuaf.edu.cn.ORCID http://orcid.org/0000-0003-2496-339X
Northwest A&F University · CNNorth West Agriculture and Forestry University · CN

Funding

National Key Research and Development Program of China 2018YFD0200402National Natural Science Foundation of China 31401735Natural Science Basic Research Plan in Shaanxi Province of China 2017JM3030
6 · The paper itself

Abstract

backgroundPlant viruses maintain intricate interactions with their vector and non-vector insects and can impact the fitness of insects. However, the details of their molecular and cellular mechanisms have not been studied well. We compared the transcriptome-level responses in vector and non-vector aphids (Schizaphis graminum and Rhopalosiphum padi, respectively) after feeding on wheat plants with viral infections (Barley Yellow Dwarf Virus (BYDV) and Wheat dwarf virus (WDV), respectively). We conducted differentially expressed gene (DEG) annotation analyses and observed DEGs related to immune pathway, growth, development, and reproduction. And we conducted cloning and bioinformatic analyses of the key DEG involved in immune.

resultsFor all differentially expressed gene analyses, the numbers of DEGs related to immune, growth, development, reproduction and cuticle were higher in vector aphids than in non-vector aphids. STAT5B (signal transducer and activator of transcription 5B), which is involved in the JAK-STAT pathway, was upregulated in R. padi exposed to WDV. The cloning and bioinformatic results indicated that the RpSTAT5B sequence contains a 2082 bp ORF encoding 693 amino acids. The protein molecular weight is 79.1 kD and pI is 8.13. Analysis indicated that RpSTAT5B is a non-transmembrane protein and a non-secreted protein. Homology and evolutionary analysis indicated that RpSTAT5B was closely related to R. maidis.

conclusionsUnigene expression analysis showed that the total number of differentially expressed genes (DEGs) in the vector aphids was higher than that in the non-vector aphids. Functional enrichment analysis showed that the DEGs related to immunity, growth and reproduction in vector aphids were higher than those in non-vector aphids, and the differentially expressed genes related to immune were up-regulated. This study provides a basis for the evaluation of the response mechanisms of vector/non-vector insects to plant viruses.

Indexed as

TranscriptomeAnimalsAphidsDicistroviridaeGeminiviridaeInsect ProteinsInsect VectorsJanus KinasesLuteovirusSTAT5 Transcription FactorTriticumInsect ProteinsJanus KinasesSTAT5 Transcription FactorBYDVGene cloneNon-vectorTranscriptome responseVectorWDV

Identifiers

PMID32933469
PMCPMC7493910
OpenAlexW3085606301

What OpenQuestion holds

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LicenceCC BY
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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.