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Record W3041504796 · doi:10.1094/pdis-05-20-0969-pdn

First Report of Apple Mosaic Virus Infecting Apple Trees in Ethiopia

2020· article· en· W3041504796 on OpenAlexaboutno aff
Fei Xing, Berhanu Lemma Robe, Dehang Gao, Chengyong He, Shifang Li, Hongqing Wang

Bibliographic record

VenuePlant Disease · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsBiologyMosaicPlant virusApple treeBotanyHorticultureVirologyVirus

Abstract

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HomePlant DiseaseVol. 104, No. 12First Report of Apple Mosaic Virus Infecting Apple Trees in Ethiopia PreviousNext DISEASE NOTES OPENOpen Access licenseFirst Report of Apple Mosaic Virus Infecting Apple Trees in EthiopiaFei Xing, Berhanu Lemma Robe, Dehang Gao, Chengyong He, Shifang Li, and Hongqing WangFei XingCollege of Horticulture, China Agricultural University, Beijing 100193, ChinaInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China, Berhanu Lemma RobeInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China, Dehang GaoCollege of Horticulture, China Agricultural University, Beijing 100193, China, Chengyong HeCollege of Horticulture, China Agricultural University, Beijing 100193, China, Shifang LiInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China, and Hongqing Wang†Corresponding author: H. Q. Wang; E-mail Address: wanghq@cau.edu.cnCollege of Horticulture, China Agricultural University, Beijing 100193, China AffiliationsAuthors and Affiliations Fei Xing1 2 Berhanu Lemma Robe2 Dehang Gao1 Chengyong He1 Shifang Li2 Hongqing Wang1 † 1College of Horticulture, China Agricultural University, Beijing 100193, China 2Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China Published Online:13 Oct 2020https://doi.org/10.1094/PDIS-05-20-0969-PDNAboutSectionsView articlePDFPDF PlusSupplemental ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmailWechat View articleApple (Malus domestica) is an important fruit crop in Ethiopia. Among the viruses reported to infect apple trees, apple chlorotic leaf spot virus (ACLSV), apple mosaic virus (ApMV), apple stem grooving virus (ASGV), and apple stem pitting virus (ASPV) play considerable roles in constraining fruit yield and quality (Hadidi and Barba 2011). ACLSV, ASGV, and ASPV have been reported from 10 different apple cultivars without visible disease symptoms in Ethiopia, whereas no samples tested positive for ApMV (Lemma et al. 2016). To verify whether ApMV is present in Ethiopia, a total of 14 leaf samples were collected in the southwest part of the country in May 2017 from 14 different apple trees and five different cultivars (BR-64 = 2, CP92 = 2, Fuji = 4, Gala = 3, Granny Smith = 3) showing chlorosis, necrosis, or mosaic. The mosaic patterns included yellow or cream-colored vein banding on the foliage, as well as irregular spots and/or line patterns. Total RNA was extracted using an RNAprep Pure Plant Kit (TianGen, China) following the manufacturer's instructions. The expected 608-bp amplicon was obtained by RT-PCR with ApMV-specific primers (Noda et al. 2017) only from the four cultivar Fuji plants showing mosaic symptoms. All 14 samples tested negative for Apple necrotic mosaic virus and Prunus necrotic ringspot virus, two ilarviruses that are also known causal agents of apple mosaic disease (Hu et al. 2016; Noda et al. 2017; Xing et al. 2018). The presence of ApMV in the RT-PCR positive samples was confirmed by ELISA with commercial ApMV-specific antisera according to the product instructions (Dogesce, China). To further validate the presence of ApMV in the cultivar Fuji samples, an 1,879-bp fragment from RNA3 was amplified from one sample using primer pairs ApMV-Fr (5′-CCTCTCAAGATGACAACACTG-3′) and ApMV-Rr123 (5′-GGGCATCAATTTCTTTCACAGA-3′). Escherichia coli polymerase (NEB, England) was used to add 3′ poly A tails to viral RNAs. Amplification of 5′ and 3′ cDNA ends of RNA3 were carried out by the SMARTer RACE 5′/3′ Kit (Clontech, U.S.A.) following the manufacturer's instructions using the primer sets of ApMV3-5race1 (5′-CCATTAACTCGCCAACTAC-3′) and ApMV3-5race2 (5′-CATTATCACCTTCGCTTCAC-3′), and ApMV3-3race1 (5′-CCTCTAATGGATGGATTGG-3′) and ApMV3- 3race2 (5′-TTGTGATGGAGCGATTAGC-3′), respectively. The PCR reactions were conducted with Phusion High-Fidelity DNA Polymerase (Thermo Scientific, U.S.A.). The obtained PCR products were cloned into pTOPO-blunt vector (Aidlab, China), transformed into E. coli cells, and sequenced by Sangon Biotech (Shanghai, China). The assembled genome of ApMV RNA3 was 2,056 nt in length (GenBank accession no. MT303163). BLASTn analysis revealed that it shared the lowest nucleotide (nt) identity (85.4%) with isolate Negret 7 infecting hazel (Corylus avellana) from Poland (HG328282) and the highest nt identity (99.3%) with isolate 13TF151 infecting Malus sp. from Canada (KY971019). The RNA3 contained two open reading frames (ORFs). The ORF at the 5′-proximal end encoded the movement protein (MP, 861 nt, 286 amino acids [aa]) with 87.9 to 99.7% nt identity with ApMV MP sequences in GenBank, and the ORF at the 3′-proximal end encoded the coat protein (CP, 672 nt, 223 aa) with 87.3 to 99.3% nt identity with reported ApMV CP isolates. To our knowledge, this is the first report of ApMV isolated from apple trees in Ethiopia. Additional studies on the distribution and transmission route of ApMV will help in the management of this virus in Ethiopia.The author(s) declare no conflict of interest.References:Hadidi, A., and Barba, M. 2011. Page 2 in: Virus and Virus-Like Diseases of Pome and Stone Fruits. APS Press, St. Paul, MN. https://doi.org/10.1094/9780890545010 Link, Google ScholarHu, G. J., et al. 2016. Plant Dis. 100:1955. https://doi.org/10.1094/PDIS-01-16-0079-PDN Link, ISI, Google ScholarLemma, B., et al. 2016. Plant Dis. 100:2540. https://doi.org/10.1094/PDIS-05-16-0678-PDN Link, Google ScholarNoda, H., et al. 2017. J. Gen. Plant Pathol. 83:83. https://doi.org/10.1007/s10327-017-0695-x Crossref, ISI, Google ScholarXing, F., et al. 2018. Plant Dis. 102:1841. https://doi.org/10.1094/PDIS-10-17-1580-RE Link, ISI, Google ScholarThe author(s) declare no conflict of interest.Funding: This work was supported by the National Natural Science Foundation of China (grant number 31872922).DetailsFiguresLiterature CitedRelated Vol. 104, No. 12 December 2020SubscribeISSN:0191-2917e-ISSN:1943-7692 DownloadCaptionUredinia of Phragmidium violaceum on European blackberry (K. J. Evans et al.). Photo credit: L. Morin. Strawberry fruit rot caused by Sclerotinia sclerotiorum (M. V. Marin and N. A. Peres). Photo credit: M. V. Marin. Metrics Downloaded 617 times Article History Issue Date: 1 Dec 2020Published: 13 Oct 2020First Look: 7 Jul 2020Accepted: 6 Jul 2020 Page: 3273 Information© 2020 The American Phytopathological SocietyFundingNational Natural Science Foundation of ChinaGrant/Award Number: 31872922Keywordsapple mosaic virusapple treeapple mosaic diseaseEthiopiaThe author(s) declare no conflict of interest.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.263
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2020
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