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

First Report of Apple Mosaic Virus Infecting Apple Trees in Ethiopia

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

Notice bibliographique

RevuePlant Disease · 2020
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant Virus Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesNational Natural Science Foundation of China
Mots-clésBiologyMosaicPlant virusApple treeBotanyHorticultureVirologyVirus

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,048
Tête enseignante GPT0,263
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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