Literature DB >> 31193484

Sequence variation data of the mitochondrial DNA D-loop region of the captive Malayan Gaur (Bos gaurus hubbacki).

Badrul Munir Md-Zain1, Aqilah Abdul-Aziz1, Nor Rahman Aifat1, Nur Syafika Mohd-Yusof1, Nadiatur Akmar Zulkifli1, Jeffrine Rovie Ryan Japning2, Norsyamimi Rosli2, Salmah Yaakop1.   

Abstract

This article contains data of the sequence variation in the mitochondrial DNA D-loop region of the Malayan gaur (Bos gaurus hubbacki), locally known as the seladang, from two captive centers. Thirty fecal samples of Malayan gaur were collected from Jenderak Selatan Wildlife Conservation Center (Pahang) and the Sungkai Wildlife Reserve (Perak) for DNA extraction and amplification with polymerase chain reactions. DNA sequences were then analyzed using neighbor joining (NJ) and maximum parsimony (MP) methods. Based on the 652 base pairs obtained, we found seven variable characters with a value of 1%. The genetic distance between the two captive centers was 0.001. Haplotype analyses detected only four haplotypes between these two captive centers. Both NJ and MP trees demonstrate that all individuals in the Jenderak and Sungkai captive centers are in the same clade. Genetic variation of the Malayan gaur in these centers is considered low, possibly because individuals share the same common parent. This sequence variation data are of paramount importance for designing a proper breeding and management program of the Malayan gaur in the future.

Entities:  

Keywords:  Bos gaurus hubbacki; Genetic variation; Malayan gaur; Seladang

Year:  2018        PMID: 31193484      PMCID: PMC6531834          DOI: 10.1016/j.dib.2018.11.117

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table Value of the data The data presented here provide sequence variations of Malayan gaur in captivity. Genetic relationships among captive Malayan gaur individuals. Revealing inbreeding in which they might share the same common parent. The data are useful for decision-making in the breeding and management program of the Malayan gaur.

Data

We present D-loop region sequence data [1] for 33 individuals of Malayan gaur from Jenderak Selatan Wildlife Conservation Center, Pahang and from Sungkai Wildlife Reserve (Perak). We also provided forward and reverse primers [2] (Table 1) that were utilized in the polymerase chain reaction [3], initial concentration and volumes for each PCR reagent (Table 2) and PCR cycle profile for the D-loop region (Table 3). Amplification products were visualized as indicated in Fig. 1.
Table 1

Design of the primer pair for the D-loop region.

PrimerSequence 5′-3′
Walid FTCA CCG TCA ACT CCC AAA GCT GA
Walid RAGG GGG AAG TTT TAT GGA AGG GGG
Table 2

Initial concentration and volumes for each PCR reagent.

PCR componentFinal concentrationVolume (µl)
Distilled water (ddH2O)18.8
10X PCR buffer1X2.5
dNTP mix (10 mM)0.28 mM0.7
MgCl2 (50 mM)2.4 mM1.2
Forward primer (10 µM)0.12 uM0.3
Reverse primer (10 µM)0.12 uM0.3
Taq Polymerase (5 U/µl)1 U0.2
DNA template50 ng/uL1.0
Total25.0
Table 3

PCR cycle profile for the D-loop region.

PCR protocolTemperature (°C)Duration (s)Cycle
Initial denaturation94180
Denaturation946035
Annealing5830
Extension7290
Post-extension72420
Incubation4
Fig. 1

Result of the PCR process with an 800-base pair product. A = 100 base pairs; 1 = negative control; 2–6 = PCR products of the Malayan gaur.

Design of the primer pair for the D-loop region. Initial concentration and volumes for each PCR reagent. PCR cycle profile for the D-loop region. Result of the PCR process with an 800-base pair product. A = 100 base pairs; 1 = negative control; 2–6 = PCR products of the Malayan gaur.

Experimental design, materials, and methods

The DNA chromatograms (Fig. 2) of the sequenced samples were visually checked using a BioEdit sequence alignment editor [4]. All DNA sequences were aligned (see Supplemental data) and edited using the ClustalW multiple alignment algorithm in Mega 4.0 software to achieve multiple sequence alignment [5]. Any sequence that varied by one or more nucleotides was considered a different haplotype (Table 4). All sequences were analyzed using PAUP 4.0b10 software for phylogenetic reconstruction [6]. We used two methods of analysis in PAUP: first, neighbor joining with the Kimura 2-parameter model [7] to reconstruct a neighbor joining phylogram (Fig. 3) and calculate the genetic distance (Table 5), second, a maximum parsimony analysis with stepwise additions (1000 replicates) in a heuristic search [8] and 50% majority rule consensus (Fig. 4). All trees were subjected to a bootstrap analysis with 1000 replicates to find bootstrap value support [9].
Fig. 2

DNA chromatogram for PCR product of the D-loop region.

Table 4

Malayan gaur haplotype structure.

HaplotypeHaplotype sequenceIndividual numberCaptive site
Hap_1CTCCCCC2714-Jenderak, 13-Sungkai
Hap_2TTCCTCC1Sungkai (Seladang 3)
Hap_3CTATCAT1Sungkai (Seladang 5)
Hap_4CACCCCC1Sungkai (Seladang 9)
Fig. 3

The neighbor joining phylogenetic tree estimated using the Kimura 2-parameter algorithm and 1000 bootstrap replications.

Table 5

Genetic distance value of the Malayan gaur between Sungkai and Jenderak.

Captive siteJenderakSungkai
Jenderak
Sungkai0.001
Fig. 4

The maximum parsimony phylogenetic tree estimated using 1000 bootstrap replications.

DNA chromatogram for PCR product of the D-loop region. Malayan gaur haplotype structure. The neighbor joining phylogenetic tree estimated using the Kimura 2-parameter algorithm and 1000 bootstrap replications. Genetic distance value of the Malayan gaur between Sungkai and Jenderak. The maximum parsimony phylogenetic tree estimated using 1000 bootstrap replications.
Subject areaMolecular Systematics, Genetics and Conservation Science
More specific subject areaMolecular Phylogeny
Type of dataTables, figures
How data was acquiredFecal DNA sampling and PCR using Eppendorf thermal cycler
Data formatAnalyzed
Experimental factorsPhylogenetic analysis, bootstrap test
Experimental featuresMolecular data was analysed in BioEdit Sequence Alignment Editor 7.2.0, ClustalW2 and MEGA 4.0
Data source locationJenderak Selatan Wildlife Conservation Center (Pahang), Sungkai Wildlife Reserve (Perak) in Malaysia
Data accessibilityWith this article
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