Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing

Dietary study provides understanding in predator-prey relationships, yet diet of tropical forest birds is poorly understood. In this study, a non-invasive method, next-generation sequencing (Illumina MiSeq platform) was used to identify prey in the faecal samples of the Rufous-winged Philentoma (Phi...

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Main Authors: Mohammad Saiful Mansor, Shukor Md. Nor, Rosli Ramli
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/12095/
http://journalarticle.ukm.my/12095/
http://journalarticle.ukm.my/12095/1/22%20Mohammad%20Saiful%20Mansor.pdf
id ukm-12095
recordtype eprints
spelling ukm-120952018-09-22T10:37:33Z http://journalarticle.ukm.my/12095/ Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing Mohammad Saiful Mansor, Shukor Md. Nor, Rosli Ramli, Dietary study provides understanding in predator-prey relationships, yet diet of tropical forest birds is poorly understood. In this study, a non-invasive method, next-generation sequencing (Illumina MiSeq platform) was used to identify prey in the faecal samples of the Rufous-winged Philentoma (Philentoma pyrhoptera). Dietary samples were collected in lowland tropical forest of central Peninsular Malaysia. A general invertebrate primer pair was used for the first time to assess diet of tropical birds. The USEARCH was used to cluster the COI mtDNA sequences into Operational Taxonomic Unit (OTU). OTU sequences were aligned and queried through the GenBank or Biodiversity of Life Database (BOLD). We identified 26 distinct arthropod taxa from 31 OTUs. Of all OTUs, there was three that could be identified up to species level, 20 to genus level, three to family level and five could not assigned to any taxa (the BLAST hits were poor). All sequences were identified to class Insecta belonging to 18 families from four orders, where Lepidoptera representing major insect order consumed by study bird species. This non-invasive molecular approach provides a practical and rapid technique to understand of how energy flows across ecosystems. This technique could be very useful to screen for possible particular pest insects consumed by insectivores (e.g. birds and bats) in crop plantation. A comprehensive arthropod studies and local reference sequences need to be added to the database to improve the proportion of sequences that can be identified. Penerbit Universiti Kebangsaan Malaysia 2018-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12095/1/22%20Mohammad%20Saiful%20Mansor.pdf Mohammad Saiful Mansor, and Shukor Md. Nor, and Rosli Ramli, (2018) Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing. Sains Malaysiana, 47 (5). pp. 1045-1050. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol47num5_2018/contentsVol47num5_2018.html
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institution Universiti Kebangasaan Malaysia
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language English
description Dietary study provides understanding in predator-prey relationships, yet diet of tropical forest birds is poorly understood. In this study, a non-invasive method, next-generation sequencing (Illumina MiSeq platform) was used to identify prey in the faecal samples of the Rufous-winged Philentoma (Philentoma pyrhoptera). Dietary samples were collected in lowland tropical forest of central Peninsular Malaysia. A general invertebrate primer pair was used for the first time to assess diet of tropical birds. The USEARCH was used to cluster the COI mtDNA sequences into Operational Taxonomic Unit (OTU). OTU sequences were aligned and queried through the GenBank or Biodiversity of Life Database (BOLD). We identified 26 distinct arthropod taxa from 31 OTUs. Of all OTUs, there was three that could be identified up to species level, 20 to genus level, three to family level and five could not assigned to any taxa (the BLAST hits were poor). All sequences were identified to class Insecta belonging to 18 families from four orders, where Lepidoptera representing major insect order consumed by study bird species. This non-invasive molecular approach provides a practical and rapid technique to understand of how energy flows across ecosystems. This technique could be very useful to screen for possible particular pest insects consumed by insectivores (e.g. birds and bats) in crop plantation. A comprehensive arthropod studies and local reference sequences need to be added to the database to improve the proportion of sequences that can be identified.
format Article
author Mohammad Saiful Mansor,
Shukor Md. Nor,
Rosli Ramli,
spellingShingle Mohammad Saiful Mansor,
Shukor Md. Nor,
Rosli Ramli,
Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
author_facet Mohammad Saiful Mansor,
Shukor Md. Nor,
Rosli Ramli,
author_sort Mohammad Saiful Mansor,
title Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
title_short Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
title_full Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
title_fullStr Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
title_full_unstemmed Assessing diet of the Rufous-winged Philentoma (Philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
title_sort assessing diet of the rufous-winged philentoma (philentoma pyrhoptera) in lowland tropical forest using next-generation sequencing
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://journalarticle.ukm.my/12095/
http://journalarticle.ukm.my/12095/
http://journalarticle.ukm.my/12095/1/22%20Mohammad%20Saiful%20Mansor.pdf
first_indexed 2023-09-18T20:01:51Z
last_indexed 2023-09-18T20:01:51Z
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