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Enregistrement W2947881953 · doi:10.1094/pdis-04-19-0801-pdn

<i>Alternaria alternata</i> Causing Postharvest Fruit Rot of <i>Mangifera indica</i> in China

2019· article· en· W2947881953 sur OpenAlexaboutno aff
Jun Liu, Jia Zhou, Guolin Cai, Xiaomin Li, Jingyun Lu

Notice bibliographique

RevuePlant Disease · 2019
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiquePlant Pathogens and Fungal Diseases
Établissements canadiensnon disponible
Organismes subventionnairesFundamental Research Funds for the Central UniversitiesNatural Science Foundation of Jiangsu Province
Mots-clésAlternaria alternataBiologyPostharvestMangiferaHorticultureFruit rotAlternariaChinaBotanyFungi imperfectiPathogenicityMicrobiology

Résumé

récupéré en direct d'OpenAlex

HomePlant DiseaseVol. 103, No. 10Alternaria alternata Causing Postharvest Fruit Rot of Mangifera indica in China PreviousNext DISEASE NOTES OPENOpen Access licenseAlternaria alternata Causing Postharvest Fruit Rot of Mangifera indica in ChinaJ. Liu, L. Yang, J. Zhou, G. Cai, X. Li, and J. LuJ. Liuhttp://orcid.org/0000-0003-3831-2774Key Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China, L. YangKey Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China, J. ZhouKey Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China, G. CaiKey Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China, X. Li†Corresponding authors: X. Li; E-mail Address: [email protected] and J. Lu; E-mail Address: [email protected]Key Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China, and J. Lu†Corresponding authors: X. Li; E-mail Address: [email protected] and J. Lu; E-mail Address: [email protected]Key Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, ChinaAffiliationsAuthors and Affiliations J. Liu L. Yang J. Zhou G. Cai X. Li † J. Lu † Key Laboratory of Industrial Biotechnology of Ministry of Education, National Engineering Laboratory for Cereal Fermentation Technology, Jiangsu Provincial Research Center for Bioactive Product Processing Technology, School of Biotechnology, Jiangnan University, Wuxi 214122, China Published Online:14 Aug 2019https://doi.org/10.1094/PDIS-04-19-0801-PDNAboutSectionsSupplemental ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmailWechat Mango (Mangifera indica L.) is currently ranked fifth in total production of the world's major fruit crops and is commonly known as "the king of fruits." It has been cultivated for more than 1,300 years in China. In 2017, China's mango yield reached 1,982,200 tons, with Guangxi, Hainan, Yunnan, Guangdong, Sichuan, and Fujian provinces as the main producing areas. However, in May 2018, a postharvest fruit rot was observed at an incidence of 8 to 10% on M. indica cultivar Tainong at the supermarket in Wuxi, Jiangsu, China (31.48°N, 120.28°E). Symptoms on fruits initially appeared as small dark brown spots that later enlarged and became necrotic. To isolate the pathogen, symptomatic tissues were surface sterilized for 30 s with 75% ethanol followed by 0.1% mercuric chloride, rinsed in sterile distilled water, and plated onto potato dextrose agar (PDA). The plates were incubated at 25°C with a 12-h photoperiod for 7 days. The morphology of the cultured fungi was observed to be dark brown with whitish edges and abundant aerial mycelia. Conidiophores were septate and measured 22.4 to 53.2 × 1.8 to 3.3 μm. Conidia were borne in chains or singly and were obclavate or ovoid, measuring 8.6 to 37.2 × 7.3 to 15.7 μm (n = 50) with two to five transverse septa and zero to three longitudinal septa. Based on the morphological characteristics, the pathogen was identified as Alternaria sp. (Simmons 2007). Total genomic DNA of the isolated fungus was extracted with a Plant/Fungi DNA Isolation Kit (Sigma-Aldrich, Oakville, ON, Canada). Translation elongation factor 1-alpha, internal transcribed spacer, actin gene, Alternaria major allergen, plasma membrane ATPase gene, and calmodulin gene were amplified with primers EF1-728F/986R (Carbone and Kohn 1999), ITS1/ITS4, ACT512F/783R, Alt-for/Alt-rev, ATPDF1/DR1, and CALDF1/DR1 (Lawrence et al. 2013), respectively. Results of sequences were deposited in GenBank (accession nos. MK733276, MK733276, MK791190, MK791191, MK791192, and MK791193, respectively). BLAST analysis showed 99 to 100% homology to ex-type sequences of A. alternata (KC584634, KF465761, MG736306, KP123858, JQ811979, and MG736308, respectively). Pathogenicity tests were conducted on surface-sterilized mango fruits; 4-mm-diameter mycelial plugs from colonies growing on PDA (7 days old) were placed on the surface of 24 mango fruits. Plugs of sterile PDA were placed on 12 healthy fruits as a control. The inoculated fruits were maintained in an artificial climate chamber at 25°C and 80 to 85% relative humidity with a 12-h photoperiod for 7 to 10 days. Dark-brown necrotic lesions developed similar to those observed on the original samples, whereas control fruits remained symptomless. The pathogen was reisolated from infected fruits and confirmed as A. alternata based on morphological characteristics and the molecular sequences. To our knowledge, this is the first report of A. alternata causing postharvest fruit rot of mango, and this pathogen has been reported to cause postharvest rot in kiwifruit (Li et al. 2017) and jujube (Alam et al. 2018). Postharvest fruit rot is a serious disease because it reduces fruit shelf life and threatens the sustainable development of fruits.The author(s) declare no conflict of interest.References:Alam, M. W., et al. 2018. Plant Dis. 102:452. https://doi.org/10.1094/PDIS-09-17-1430-PDN Link, ISI, Google ScholarCarbone, I., and Kohn, L. 1999. Mycologia 91:553. https://doi.org/10.2307/3761358 Crossref, ISI, Google ScholarLawrence, D. P., et al. 2013. Mycologia 105:530. https://doi.org/10.3852/12-249 Crossref, ISI, Google ScholarLi, L., et al. 2017. Plant Dis. 101:1680. Google ScholarSimmons, E. G. 2007. Alternaria: An Identification Manual. CBS Fungal Biodiversity Center, Utrecht, the Netherlands. Google ScholarThe author(s) declare no conflict of interest.Funding: This research was supported by the Natural Science Foundation of Jiangsu Province (BK20181207), the Postgraduate Research and Practice Innovation Program of Jiangsu Province (KYCX19_1830), and the Fundamental Research Funds for the Central Universities (JUSRP21914).DetailsFiguresLiterature CitedRelated Vol. 103, No. 10 October 2019SubscribeISSN:0191-2917e-ISSN:1943-7692 DownloadCaptionBell pepper cv. Bomby infected with zucchini yellow mosaic virus along with cucumber mosaic virus, pepper mild mottle virus, and tobacco mosaic virus (Verma et al.). Photo credit: S. Tripathi. Severe stunting, leaf chlorosis, and horizontal head growth of sunflower infected with Plasmopara halstedii, causal agent of downy mildew (Humann et al.). Photo credit: S. Markell. Metrics Article History Issue Date: 3 Oct 2019Published: 14 Aug 2019First Look: 29 May 2019Accepted: 24 May 2019 Page: 2683 Information© 2019 The American Phytopathological SocietyFundingNatural Science Foundation of Jiangsu ProvinceGrant/Award Number: BK20181207Postgraduate Research and Practice Innovation Program of Jiangsu ProvinceGrant/Award Number: KYCX19_1830Fundamental Research Funds for the Central UniversitiesGrant/Award Number: JUSRP21914KeywordsAlternaria alternatamangopostharvest fruit rotThe author(s) declare no conflict of interest.Cited byFirst Report of Postharvest Fruit Rot in Solanum muricatum Caused by Alternaria alternata in Southwest ChinaM. Chen, M. S. Jia, S. C. Li, L. H. Xiao, Y. B. Wang, W. W. Peng, J. Y. Chen, and M. L. Xiang1 August 2022 | Plant Disease, Vol. 106, No. 9Natural compound/green nanoemulsions for disease control at postharvest stage in fruits

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,043

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,006
Tête enseignante GPT0,210
Écart entre enseignants0,204 · 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'étudeObservationnel
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

Citations4
Publié2019
Routes d'admission1
Résumé présentoui

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