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Molecular approach to confirm traditional identification of Radopholus similis sampled in Tanzania.
Mgonja, Doreen M; Temu, Gladness E; Ndunguru, Joseph C; Mziray, Magreth F; Lyantagaye, Sylvester L; Luambano, Nessie D.
Afiliação
  • Mgonja DM; College of Natural and Applied Sciences, University of Dar es Salaam , P.O. Box 35091, Dar es Salaam, Tanzania ; Tanzania Agricultural Research Institute, Mikocheni, P.O. Box 6226, Dar es Salaam, Tanzania.
  • Temu GE; College of Natural and Applied Sciences, University of Dar es Salaam , P.O. Box 35091, Dar es Salaam, Tanzania.
  • Ndunguru JC; Tanzania Agricultural Research Institute, Mikocheni, P.O. Box 6226, Dar es Salaam, Tanzania.
  • Mziray MF; Tanzania Agricultural Research Institute, Kibaha, P.O. Box 30031, Kibaha, Tanzania.
  • Lyantagaye SL; College of Natural and Applied Sciences, University of Dar es Salaam , P.O. Box 35091, Dar es Salaam, Tanzania ; Mbeya College of Health and Allied Sciences, University of Dar es Salaam , P.O. Box 608, Mbeya, Tanzania.
  • Luambano ND; Tanzania Agricultural Research Institute, Kibaha, P.O. Box 30031, Kibaha, Tanzania.
J Nematol ; 52: 1-8, 2020.
Article em En | MEDLINE | ID: mdl-32180386
ABSTRACT
Banana (Musa spp. L.) is an important staple food and cash crop for about 30% of the population in Tanzania; however, the burrowing plant-parasitic nematode Radopholus similis causes black head disease and toppling in banana plants, which results in yield losses. We collected and identified 80 specimens of R. similis from four agro-ecological zones in Tanzania using morphological characters. We then used universal and specific R. similis primers to amplify the small subunit, internal transcribed spacer and large subunit of ribosomal DNA regions of these specimens. The amplicons were subsequently sequenced and analyzed using Bayesian inference. We identified two major clades, one that comprised all R. similis sequences derived from this study and another that included R. similis and Radopholus spp. sequences obtained from GenBank, indicating the separation of this species from congeneric sequences. Our findings provide a useful, simple and rapid method for identifying burrowing nematodes. This outcome could contribute to the development of permanent, integrated pest management strategies for the control of R. similis in banana and other crops in order to reduce associated yield losses in Tanzania. To our knowledge, this is the first study of nematodes to use combined morphological and molecular methods for the identification of R. similis in Tanzania.Banana (Musa spp. L.) is an important staple food and cash crop for about 30% of the population in Tanzania; however, the burrowing plant-parasitic nematode Radopholus similis causes black head disease and toppling in banana plants, which results in yield losses. We collected and identified 80 specimens of R. similis from four agro-ecological zones in Tanzania using morphological characters. We then used universal and specific R. similis primers to amplify the small subunit, internal transcribed spacer and large subunit of ribosomal DNA regions of these specimens. The amplicons were subsequently sequenced and analyzed using Bayesian inference. We identified two major clades, one that comprised all R. similis sequences derived from this study and another that included R. similis and Radopholus spp. sequences obtained from GenBank, indicating the separation of this species from congeneric sequences. Our findings provide a useful, simple and rapid method for identifying burrowing nematodes. This outcome could contribute to the development of permanent, integrated pest management strategies for the control of R. similis in banana and other crops in order to reduce associated yield losses in Tanzania. To our knowledge, this is the first study of nematodes to use combined morphological and molecular methods for the identification of R. similis in Tanzania.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article