Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR)
Among the Phytophthora species that cause black pod of cacao, P. palmivora is the most virulent, posing a serious threat to cacao production in Asia. Correct identification of the species causing the black pod and understanding the virulence factors involved are important for developing sustainable...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Institute of Plantation Studies, Universiti Putra Malaysia
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/58839/ http://psasir.upm.edu.my/id/eprint/58839/1/Poster_Paper_19.pdf |
| _version_ | 1848853756655960064 |
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| author | Alsultan, Wael M. K. Vadamalai, Ganesan Ahmad, Khairulmazmi Rashid, Osamah |
| author_facet | Alsultan, Wael M. K. Vadamalai, Ganesan Ahmad, Khairulmazmi Rashid, Osamah |
| author_sort | Alsultan, Wael M. K. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Among the Phytophthora species that cause black pod of cacao, P. palmivora is the most virulent, posing a serious threat to cacao production in Asia. Correct identification of the species causing the black pod and understanding the virulence factors involved are important for developing sustainable disease management strategies. The present study had revealed molecular characterization of thirty isolates of P. palmivora randomly obtained from infected cocoa pods in different states in Malaysia. All 30 isolates of P. palmivora were subjected to molecular identification methods using ITS rDNA, the mitochondrial cox1 and elongation factor 1α genes. Phylogenetic tree for P. palmivora was constructed using the sequencing of ITS rDNA, mitochondrial cox1 and elongation factor 1α genes. Different Phytophthora spp. sequencing had been chosen from NCBI and Pythium undulatum as outgroup. Molecular identification of rDNA confirmed that all isolates were Phytophthora palmivora. Phylogenetic analysis based on rDNA sequencing of different genes were separated different species of Phytophthora to various clades. P. megakarya is considered the closest species with P. palmivora based on ITS rDNA, translation elongation factor 1alpha and Cox subunit I. The significant of these findings are also viewed in terms of the increasing importance of Phytophthora diseases in this region. |
| first_indexed | 2025-11-15T10:59:02Z |
| format | Conference or Workshop Item |
| id | upm-58839 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:59:02Z |
| publishDate | 2017 |
| publisher | Institute of Plantation Studies, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-588392018-02-07T03:17:41Z http://psasir.upm.edu.my/id/eprint/58839/ Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) Alsultan, Wael M. K. Vadamalai, Ganesan Ahmad, Khairulmazmi Rashid, Osamah Among the Phytophthora species that cause black pod of cacao, P. palmivora is the most virulent, posing a serious threat to cacao production in Asia. Correct identification of the species causing the black pod and understanding the virulence factors involved are important for developing sustainable disease management strategies. The present study had revealed molecular characterization of thirty isolates of P. palmivora randomly obtained from infected cocoa pods in different states in Malaysia. All 30 isolates of P. palmivora were subjected to molecular identification methods using ITS rDNA, the mitochondrial cox1 and elongation factor 1α genes. Phylogenetic tree for P. palmivora was constructed using the sequencing of ITS rDNA, mitochondrial cox1 and elongation factor 1α genes. Different Phytophthora spp. sequencing had been chosen from NCBI and Pythium undulatum as outgroup. Molecular identification of rDNA confirmed that all isolates were Phytophthora palmivora. Phylogenetic analysis based on rDNA sequencing of different genes were separated different species of Phytophthora to various clades. P. megakarya is considered the closest species with P. palmivora based on ITS rDNA, translation elongation factor 1alpha and Cox subunit I. The significant of these findings are also viewed in terms of the increasing importance of Phytophthora diseases in this region. Institute of Plantation Studies, Universiti Putra Malaysia 2017 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58839/1/Poster_Paper_19.pdf Alsultan, Wael M. K. and Vadamalai, Ganesan and Ahmad, Khairulmazmi and Rashid, Osamah (2017) Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR). In: International Conference on Big Data Applications in Agriculture (ICBAA2017), 5-6 Dec. 2017, Auditorium Putra, TNCPI Building, Universiti Putra Malaysia. (pp. 181-185). http://spel2.upm.edu.my/webupm/upload/dokumen/penerbitan/20180102000130ICBAA2017_Poster_Paper_19.pdf |
| spellingShingle | Alsultan, Wael M. K. Vadamalai, Ganesan Ahmad, Khairulmazmi Rashid, Osamah Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) |
| title | Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) |
| title_full | Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) |
| title_fullStr | Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) |
| title_full_unstemmed | Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) |
| title_short | Detection and identification of cacao black pod causal agent by polymerase chain reaction (PCR) |
| title_sort | detection and identification of cacao black pod causal agent by polymerase chain reaction (pcr) |
| url | http://psasir.upm.edu.my/id/eprint/58839/ http://psasir.upm.edu.my/id/eprint/58839/ http://psasir.upm.edu.my/id/eprint/58839/1/Poster_Paper_19.pdf |