Sains Malaysiana 47(5)(2018): 1045–1050
http://dx.doi.org/10.17576/jsm-2018-4705-22
Assessing Diet of the
Rufous-Winged Philentoma (Philentoma pyrhoptera) in Lowland Tropical Forest using
Next-Generation Sequencing
(Penilaian Diet
Filentoma Sayap Merah (Philentoma pyrhoptera) di Hutan Tropika Tanah
Rendah menggunakan Penjujukan Generasi Seterusnya)
MOHAMMAD SAIFUL MANSOR1*, SHUKOR MD. NOR1 & ROSLI RAMLI2
1School of
Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia
2Institute of
Biological Sciences, University of Malaya, 50603 Kuala Lumpur, Federal
Territory, Malaysia
Received: 15 September
2017/Accepted: 19 December 2017
ABSTRACT
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
sequen
Keywords: Dietary
ecology; MiSeq; next-generation sequencing (NGS); Philentoma pyrhoptera; tropical birds
ABSTRAK
Kajian diet memberi pemahaman
tentang hubungan
antara pemangsa-mangsa, namun diet burung di hutan tropika kurang
difahami. Dalam kajian ini,
satu kaedah
yang tidak invasif, penjujukan generasi akan datang
(platform Illumina MiSeq) digunakan
untuk mengenal
pasti mangsa dalam
sampel najis
Filentoma Sayap Merah (Philentoma pyrhoptera). Sampel makanan
diambil di hutan tropika tanah pamah
di Semenanjung Malaysia. Set
primer umum untuk invertebrata
digunakan pertama
kalinya untuk menilai
diet burung tropika.
Pautan USEARCH
digunakan untuk
mengkelompok jujukan
mtDNA COI kepada Unit Operasi Taksonomi (OTU). Jujukan OTU
telah disunting menggunakan perisian BioEdit dan ditentukan
menerusi Pangkalan
Data GenBank atau Biodiversity of
Life Database (BOLD). Kami mengenal
pasti 26 taksonomi
arthropoda yang unik daripada 31 OTUs. Daripada semua OTUs,
terdapat tiga
yang boleh dikenal pasti
hingga ke
tahap spesies, 20 hingga genus, tiga hingga famili dan
lima tidak dapat ditaksirkan (kadar BLAST yang
rendah). Semua
jujukan dikenal pasti sebagai kelas
Insecta yang terdiri
daripada 18 famili daripada empat order dengan Lepidoptera mewakili
order serangga yang utama
dimakan oleh spesies
burung kajian.
Pendekatan
molekul yang tidak invasif ini menyediakan
teknik yang praktikal
dan cepat untuk
memahami bagaimana
tenaga mengalir merentasi ekosistem.
Teknik ini juga sangat berguna untuk melihat
kemungkinan serangga
perosak yang tertentu dimakan oleh insektivor
(contohnya, burung
dan kelawar) di ladang tanaman. Kajian artropoda yang komprehensif
dan jujukan rujukan
tempatan perlu
ditambah ke pangkalan
data untuk meningkatkan
peratusan jujukan yang boleh dikenal pasti.
Kata kunci: Burung tropika; ekologi pemakanan; MiSeq; penjujukan generasi akan datang (NGS); Philentoma pyrhoptera
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*Corresponding
author; email: msaifulmansor@ukm.edu.my
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