MétaCan
Menu
Retour à la cohorte
Enregistrement W4214763269 · doi:10.21271/zjpas.34.1.9

Direct identification of fungi associated with indoor and outdoor ornamental plants by utilizing PCR assay

2022· article· en· W4214763269 sur OpenAlexaboutno aff
rezhna majed, Qasim Abdullah Marzani

Notice bibliographique

RevueZANCO Journal of Pure and Applied Sciences · 2022
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiquePlant Pathogens and Fungal Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOrnamental plantIdentification (biology)BiologyEnvironmental scienceBotany

Résumé

récupéré en direct d'OpenAlex

Infection by phytopathogenic fungal species can result in significant losses in ornamental plants. For accurate diagnosis of plant diseases, DNA-based techniques have become dependent method. This study aimed to elaborate Polymerase chain reaction (PCR) for rapid detection of fungal pathogens causing diseases on ornamental plants. In this study, specific primers were used to screen suspected plant diseases. The results revealed that Alternaria, Cylindrocladium, Myrothecium, Sclerotium, Cercospora, and Bipolaris, were the most abundant fungi that infect indoor or outdoor ornamental plants. From which, Alternaria alternata, Cylindrocladium sp., and Myrothecium sp. were found to be the most frequent fungi on foliage of these plants. REFERENCES ABBAS, M. F., RAFIQ, M., AL-SADI, A. M., ALFARRAJ, S., ALHARBI, S. A., ARIF, M. & ANSARI, M. J. 2021. Molecular characterization of leaf spot caused by Alternaria alternata on buttonwood (Conocarpus erectus L.) and determination of pathogenicity by a novel disease rating scale. Plos one, 16, e0251471. AGRIOS, A. G. & PICHAT, P. 2005. State of the art and perspectives on materials and applications of photocatalysis over TiO 2. Journal of Applied Electrochemistry, 35, 655-663. AGRIOS, G. 2004. Fitopatología. 2da Edicion. Limusa. México, DF 635p. AUTHORITY, E. F. S. 2010. 2008 Annual Report on Pesticide Residues according to Article 32 of Regulation (EC) No 396/2005. EFSA Journal, 8, 1646. BAKHSHI, M., ARZANLOU, M. & BABAI-AHARI, A. 2012. Morphological and molecular characterization of Cercospora zebrina from black bindweed in Iran. Plant Pathology and Quarantine, 2, 125-130. BILLAH, K. M. 2017. Pathogenicity of Sclerotium rolfsii on different host, and its over wintering survival; A mini review. International Journal of Advances in Agriculture Sciences, 2 (1). BOONHAM, N., SMITH, P., WALSH, K., TAME, J., MORRIS, J., SPENCE, N., BENNISON, J. & BARKER, I. 2002. The detection of Tomato spotted wilt virus (TSWV) in individual thrips using real time fluorescent RT-PCR (TaqMan). Journal of virological methods, 101, 37-48. BOSTAN, H., NIE, X. & SINGH, R. P. 2004. An RT-PCR primer pair for the detection of Pospiviroid and its application in surveying ornamental plants for viroids. Journal of Virological Methods, 116, 189-193. CHASE, A. R. 1997. Foliage plant diseases: diagnosis and control, American Phytopathological Society (APS Press). FANG, Y. & RAMASAMY, R. P. 2015. Current and prospective methods for plant disease detection. Biosensors, 5, 537-561. FEAU, N., BEAUSEIGLE, S., BERGERON, M.-J., BILODEAU, G. J., BIROL, I., CERVANTES-ARANGO, S., DHILLON, B., DALE, A. L., HERATH, P. & JONES, S. J. 2018. Genome-Enhanced Detection and Identification (GEDI) of plant pathogens. PeerJ, 6, e4392. GUNDERSEN, D. & LEE, I.-M. 1996. Ultrasensitive detection of phytoplasmas by nested-PCR assays using two universal primer pairs. Phytopathologia mediterranea, 144-151. HARIHARAN, G. & PRASANNATH, K. 2021. Recent advances in molecular diagnostics of fungal plant pathogens: a mini review. Frontiers in Cellular and Infection Microbiology, 10, 829. HIROOKA, Y., TAKEUCHI, J., HORIE, H. & NATSUAKI, K. T. 2008. Cylindrocladium brown leaf spot on Howea belmoreana caused by Calonectria ilicicola (anamorph: Cylindrocladium parasiticum) in Japan. Journal of General Plant Pathology, 74, 66-70. JAFARI, M., MINAEI, S. & SAFAIE, N. 2017. Detection of pre-symptomatic rose powdery-mildew and gray-mold diseases based on thermal vision. Infrared Physics & Technology, 85, 170-183. JOCK, S., RODONI, B., GILLINGS, M., KIM, W.-S., COPES, C., MERRIMAN, P. & GEIDER, K. 2000. Screening of ornamental plants from the Botanic Gardens of Melbourne and Adelaide for the occurrence of Erwinia amylovora. Australasian Plant Pathology, 29, 120-128. JYAN, M.-H., HUANG, L.-C., ANN, P.-J. & LIOU, R.-F. 2002. Rapid detection of Phytophthora infestans by PCR. Plant Pathology Bulletin, 11, 45-56. KERNAGHAN, G., REELEDER, R. & HOKE, S. 2008. Quantification of Pythium populations in ginseng soils by culture dependent and real-time PCR methods. applied soil ecology, 40, 447-455. LARRAÑAGA, P., DÍAZ-DELLAVALLE, P., CABRERA, A., ALEM, D., LEONI, C., SOUZA, A. L. A. & DE SIMONE, S. G. 2012. Activity of naturally derived antimicrobial peptides against filamentous fungi relevant for agriculture. LUCHI, N., IOOS, R. & SANTINI, A. 2020. Fast and reliable molecular methods to detect fungal pathogens in woody plants. Applied microbiology and biotechnology, 104, 2453-2468. MA, Z. & MICHAILIDES, T. J. 2007. Approaches for eliminating PCR inhibitors and designing PCR primers for the detection of phytopathogenic fungi. Crop Protection, 26, 145-161. MATIĆ, S., GILARDI, G., GULLINO, M. L. & GARIBALDI, A. 2019. Emergence of leaf spot disease on leafy vegetable and ornamental crops caused by Paramyrothecium and Albifimbria species. Phytopathology, 109, 1053-1061. MATIĆ, S., TABONE, G., GARIBALDI, A. & GULLINO, M. L. 2020. Alternaria leaf spot caused by Alternaria species: an emerging problem on ornamental plants in Italy. Plant Disease, 104, 2275-2287. MCCUISTON, J. L., HUDSON, L. C., SUBBOTIN, S. A., DAVIS, E. L. & WARFIELD, C. Y. 2007. Conventional and PCR detection of Aphelenchoides fragariae in diverse ornamental host plant species. Journal of Nematology, 39, 343. MMBAGA, M., KIM, M.-S., MACKASMIEL, L. & KLOPFENSTEIN, N. 2015a. Differentiation of Corynespora cassiicola and Cercospora sp. in leaf-spot diseases of Hydrangea macrophylla using a PCR-mediated method. Canadian Journal of Plant Science, 95, 711-717. MMBAGA, M., KIM, M., MACKASMIEL, L. & KLOPFEINSTEIN, N. 2015b. Differentiation of Corynespora cassiicola and Cercospora sp. In leaf-spot diseases of Hydrangea…. Charges: A charge of $90.00 per page, plus the cost of tables, figures, and abstract translation. MMBAGA, M., LI, Y. & KIM, M.-S. 2010. First report of Myrothecium roridum causing leaf spot on garden hydrangea in the United States. Plant disease, 94, 1266-1266. PALLÁS, V., SÁNCHEZ-NAVARRO, J. A. & JAMES, D. 2018. Recent advances on the multiplex molecular detection of plant viruses and viroids. Frontiers in microbiology, 9, 2087. PUERTOLAS, A., BONANTS, P. J., BOA, E. & WOODWARD, S. 2021. Application of real-time PCR for the detection and quantification of oomycetes in ornamental nursery stock. Journal of Fungi, 7, 87. PUNJA, Z. K., DE BOER, S. & SANFAÇON, H. 2007. Biotechnology and plant disease management, Cabi. RIGOTTI, S., GINDRO, K. & VIRET, O. 2006. Two New Primers Highly Specific for the Detection of" Botrytis cinerea" Pers. Fr. Two New Primers Highly Specific for the Detection of" Botrytis cinerea" Pers. Fr., 1000-1008. RILEY, M. B., WILLIAMSON, M. R. & MALOY, O. 2002. Plant disease diagnosis. The Plant Health Instructor, 10. SAVÉ, R. What is stress and how to deal with it in ornamental plants? VI International Symposium on New Floricultural Crops 813, 2007. 241-254. SCHIPPERS, B. & GAMS, W. 1979. Soil-borne plant pathogens, Academic Press. SHI, A., MMBAGA, M. T., MREMA, F. & NNODU, E. 2005. Molecular Analysis of Alternaria alternata in Lilac. SHUPING, D. T. T. & ELOFF, J. T. 2017. The use of plants to protect plants and food against fungal pathogens: A review. African Journal of Traditional, Complementary and Alternative Medicines, 14, 120-127. SKOLIK, P. 2020. Sensor based pre-symptomatic detection of pests and pathogens for precision scheduling of crop protection products. Lancaster University. STUTZ, M. C., CARRER FILHO, R., ROCHA, G. A., DE CAMPOS DIANESE, É. & DA CUNHA, M. G. 2019. Soft rot on the stems of Zamioculcas zamiifolia caused by Sclerotium rolfsii. Ornamental Horticulture, 25, 402-406. TRKULJA, N., MILOSAVLJEVIĆ, A., ŽIVKOVIĆ, S., POPOVIĆ, T., MITROVIĆ, M., JOVIĆ, J. & TOŠEVSKI, I. 2015. First report of Cercospora violae infecting the garden violet Viola odorata in Serbia. Plant Disease, 99, 1035. VAN DEN BOSCH, F., AKUDIBILAH, G., SEAL, S. & JEGER, M. 2006. Host resistance and the evolutionary response of plant viruses. Journal of Applied Ecology, 43, 506-516.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,153
Score d'incertitude au seuil0,194

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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)0,0000,000

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 Opus0,011
Tête enseignante GPT0,227
Écart entre enseignants0,216 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueZANCO Journal of Pure and Applied SciencesMême sujetPlant Pathogens and Fungal DiseasesTravaux en français237 207