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22 September 2014 Primer design for non-invasive genetic identification of West African threatened primates
Sery Gonedelé Bi, Didier P. Sokouri, Oulo Alla-N'Nan, Kouakou Tiékoura, Marcel Lolo, Félix Gnangbé
Author Affiliations +
Abstract

The Guinean Forests are renowned for their primate diversity, with nearly 30 distinct species. These forests have been identified as some of Africa's most critical primate conservation areas. However, intensive poaching pressure and habitat degradation cause severe threats to these species. The remaining primate populations have low population densities, have secretive habitats, and are wary of humans. This can make field studies and direct observation difficult. To develop a reliable, sensitive and simple molecular identification method using Polymerase Chain Reaction (PCR), we sequenced the mitochondrial D-loop Hypervariable 1 region (HVR1) of Diana monkey (Cercopithecus diana) and Campbell monkey (Cercopithecus campbelli). From these sequences and their orthologs within Eastern black-and-white colobus (Colobus guereza) obtained from GenBank, we designed species-specific primers to amplify fragments of the mitochondrial D-loop HVR1 gene from faecal samples. These primers allow us to differentiate between Diana monkey (C. diana), Campbell monkey (C. campbelli), lesser spot-nosed monkey (Cercopithecus petaurista), Red colobus (Piliocolobus badius), Olive colobus (Procolobus verus), King colobus (C. polykomos), and Geoffroy's black-and-white colobus (C. vellerosus), demonstrating their potential for the identification of West African threatened primates.

Introduction

Because of their high level of species diversity and endemism, forest ecosystems from Guinea to Nigeria have been recognized as one of the world's 25 most threatened ecosystems [1]. The Guinean Forests are renowned for their primate diversity, with nearly 30 distinct species. These forests have been identified as some of Africa's most critical primate conservation areas.

With 22 taxa, among them 18 catarrhines, Côte d'Ivoire holds the second highest primate diversity in West Africa, after Nigeria [2]. Three of these taxa are endemic to Côte d'Ivoire and neighbouring Ghana: Miss Waldron's red colobus (Procolobus badius waldroni), Roloway monkey (Cercopithecus diana roloway) and white-naped mangabey (Cercocebus atys lunulatus). The major threats to primates in Côte d'Ivoire are intensive habitat degradation and poaching [2]. The situation became critical with the decline of conservation policy over the last decade because of political and social instability in the country.

This situation increases the threat to wildlife, and particularly primates, as they are particularly vulnerable to local extinction in fragmented landscapes [3, 4]. Subject to intensive human pressure, remaining primate populations have low population densities, have secretive habitats, and are wary of humans [5]. This can make field studies and direct observation difficult [6]. Practical, reliable and cost-effective indirect methods to detect primates are therefore valuable tools for ecology and conservation studies [7, 8]. Non-invasive sampling is a potentially cost-effective and efficient means of monitoring various mammal populations over large spatial scales, as has been demonstrated for a number of species [9, 10]. However, in many cases it may be impossible to distinguish between species, especially among closely related taxa. Genetic identification of mammals from non-invasive samples is a potentially useful monitoring technique for species that are difficult to survey using other methods [11].

Faeces are abundant and probably the most collectable animal product in the wild, and may be acquired without disturbance to the study animals [12]. This can be particularly important when the focal species of the study occurs in sympatry with related taxa [13]. Analyses based on faecal DNA have been applied to a broad range of taxa to address questions from occupancy and food habits to abundances, species distribution, and habitat use [141516171819, 13].

Although the feasibility of employing non-invasive DNA for molecular studies has been well documented in temperate areas, few researchers have used these techniques in tropical forests [2021222324]. Samples obtained in the tropics are often exposed to high humidity, warm temperatures, frequent rain, and intense sunlight, all of which can rapidly degrade DNA [25]. Moreover, insect communities that degrade faecal samples can also play an important role in scat removal in tropical areas [26, 27].

In this study, we evaluated the feasibility of performing species-level identification of West African primates from Côte d'Ivoire forest fragments, using species-specific primers (a strand of nucleic acid that serves as a starting point for DNA synthesis) to amplify a mitochondrial DNA fragment obtained from faecal samples collected in the wild.

Methods

Sampling

Faecal samples of seven primate species were collected from January 2001 to February 2001 in Taï National Park and in three forest groves (Guetitapia, Soko and Dinaoudi) (Fig. 1). These species and their respective sample size are: Campbell monkey (Cercopithecus campbelli) (16), lesser spot-nosed monkey (Cercopithecus petaurista) (12), Diana monkey (Cercopithecus diana) (7), King colobus (Colobus polykomos) (9), Geoffroy's black-and-white colobus (Colobus vellerosus) (11), Red colobus (Piliocolobus badius) (13), Olive colobus (Procolobus verus) (5). Samples of approximately 0.5–2 g were placed in individual vials (50 mL size) containing silica gel beads, and stored at room temperature.

Fig. 1:

Location of Faeces sampling sites (Taï NP, Guetitapia, Soko and Dinaoudi Sacred Groves) in Côte d'Ivoire. The Sassandra and Bandaman Rivers delimitating the potential hybridization zone are indicated.

10.1177_194008291400700312-fig1.tif

Blood samples were only collected from one individual of Campbell monkey (C. campbelli) and another individual of Diana monkey (C. diana) kept as a pet in Abidjan zoo. Laboratory work was conducted in Max Planck Institute in Leipzig (Germany) from February 2001 to August 2001.

DNA extraction

DNA was extracted from blood samples using Qiamp tissue/blood kits and from faecal samples using QIAamp DNA Stool Kit (Qiagen, Germany) following the manufacturer's instructions. In order to optimize the amount of DNA in faecal samples and reduce the time of extraction, 100mg faecal samples were rehydrated for 2 hours at 4°C followed by rehydratation overnight instead of 3 days of rehydratation as indicated by the manufacturers. Final volume of DNA extract was 200 µl for each sample. Contamination was monitored by including two extraction blanks in every extraction round.

Generation of complete D-loop Hypervariable region 1 (HVR1) sequences

Given the pervasiveness of insertions of mammalian mitochondrial DNA segments into the nuclear genome [27], including primates [28], we performed Polymerase Chain Reaction (PCR) amplifications (production of multiple copies) of the D-loop HVR1 sequence using the Universal primer pair L15996-H16498 designed for conserved regions identified from human sequences [29]. We amplified the partial HVR1 sequence (513 bp) derived from DNA extracted from blood samples of Campbell monkey (Cercopithecus campbelli) and Diana monkey (C. diana). Furthermore, since it is highly unlikely that both forward primer and reverse primer would fail to amplify the authentic target, sequence data that were consistent and unambiguous could be assumed to represent the mitochondrial DNA.

Amplifications were prepared in 20 µl reactions with 1x PCR Buffer, 2 mM MgCl2, 0.25 mM of dNTP mix, 0.2 µM of each primer, 0.4 U of Gold Taq DNA Polymerase, 2 µl of genomic DNA and 16 µg bovine serum albumin (BSA). Reactions were carried out in a Peltier thermal cycler, PTC 200 (MJ Research) and thermocycling parameters consisted of an initial denaturation at 95°C for 3 min, followed by 45 cycles of 30 s at 95°C, 30 s at 50°C and 30 sec at 72°C. Blank controls were used alongside all PCR reactions. Amplification products were run in 2.8% agarose Seakam/TBE (Tris borate 0.04 M ; EDTA 0.001 M) gels containing 0.5 µg/ml ethidium bromide at 80 V during 30 to 60 minutes. PCR products showing a single band of the expected size were purified using the QIAquick PCR purification kit (Qiagen) and sequenced using the BigDye Terminator V3.1 Cycle Sequencing Kit and a 3100 Genetic Analyser (Applied Biosystems).

To monitor for contaminations, all PCR reactions included a negative and a positive PCR control (DNA from chimpanzee), as well as the negative control from the DNA extraction.

Design and test of species-specific D-loop HVR1

Species-specific primers, amplifying a 234 to 367 bp fragment, were designed from the complete D-loop HVR1 nucleotide sequences of Diana monkey (Cercopithecus diana), Campbell monkey (Cercopithecus campbelli) and Eastern black-and-white colobus (Colobus guereza) using Primer Express Software version 2.0 (Applied Biosystems). The complete D-loop HVR1 nucleotide sequences of Eastern black-and-white colobus (C. guereza) were obtained from German Primate Center and are now accessible from GenBank accession number AY863427. Four primer pairs were respectively designed within Campbell monkey (C. campbelli) (MonF2/MonR2), Diana monkey (C. diana (DiaF2/DiaR2), King colobus (Colobus polykomos) / Geoffroy's black-and-white colobus (Colobus vellerosus) (L15996/PolyR1) and Geoffroy's black-and-white colobus (C. vellerosus) (PolyF2/PolyR2). To confirm the robustness of the primer sets for species identification, they were tested for amplification by screening four individuals or amplicons of each species. We used primer pairs of amelogenin (a protein of dental enamel) gene (amplifying a fragment length of 100 bp) [30] as a positive control to ensure that the DNA sample is sufficient quality for PCR. All the samples used have positive PCR amplification success with primer pairs of amelogenin gene.

PCRs were performed in 20 µl reactions with 1x PCR Buffer (Qiagen), 2 mM MgCl2, 0.2 µM of each primer, 0.25 mM of dNTP mix, 0.4 U of Gold Taq DNA Polymerase (Qiagen), 16 µg bovine serum albumin (BSA) and 2 µL of DNA extract. Thermal cycling conditions for all the designed primer pairs were an initial denaturation at 95°C for 3 min, followed by 45 cycles of denaturation-annealing-extension. The final extension was 7 min at 72°C and 4°C storage in a Peltier thermal cycler, PTC 200 (MJ Research). Denaturation-annealing-extension times and temperature depending on each primer pairs are indicated (Table 2).

Table 1:

Information of primers designed to amplify a species-specific fragment along mitochondrial D-loop HVR1 for Campbell monkey (Cercopithecus campbelli), Diana monkey (Cercopithecus diana), Geoffroy's black-and-white colobus (Colobus vellerosus) and King colobus (Colobus polykomos) in Côte d'Ivoire.

10.1177_194008291400700312-table1.tif

Successful PCR products were purified using QIAquick PCR purification kit (Qiagen) according to the protocol of the manufacturer, and cycle sequenced [31] in both directions using the same set of primers as for the amplification to confirm the sequence. PCR product sequencing was conducted using the BigDye Terminator V3.1 Cycle Sequencing Kit and a 3100 Genetic Analyser (Applied Biosystems).

Sequence results for each primer pair were compared with relevant sequences of Cercopithecine and Colobine available in GenBank database to check their consistency. Molecular Phylogenetic anaylsis was inferred by using the Maximum Likelihood method based on the Hasegawa-Kishino-Yano model [32] in MEGA5 [33].

Results

The two analysed blood samples of Diana monkey (C. diana) and Campbell monkey (C. campbelli) amplified with primer pair L15996/H16496 were the same size (approximatively 500 bp) (Fig. 2).

Fig. 2:

Photograph of 2.8% agarose Seakam showing PCR products of three primate species. Lane 1–7 represent 600 bp amplicons obtained using primers L15996/H16496. M: size standard (100 bp DNA ladder); Lane 1: Campbell monkey (Cercopithecus campbelli); Lane 2: Diana monkey (Cercopithecus diana); Lane 7: positive control - Chimpanzee (Pan troglodytes); Line 3–6: negative controls.

10.1177_194008291400700312-fig2.tif

The partial mitochondrial D-loop HVR1 sequences produced for Diana monkey (Cercopithecus diana) and Campbell monkey (Cercopithecus campbelli) were aligned with orthologous sequences from the same species in GenBank. Each partial sequence, obtained with primer pair L15996/H16498, was compared with the GenBank database. With the sequence produced for Campbell monkey (C. campbelli), the most similar sequences were a Crab-eating Macaque (Macaca fascicularis) mitochondrial D-loop sequence (Total Score: 438; Query cover: 99% ; Expected Value: 1e–116 ; Identity: 83%) and Diana monkey (C. diana) mitochondrial D-loop sequence (Total Score: 396 ; Query cover: 97% ; Expected Value: 1e–106 ; Identity: 82%). With the sequence produced for Diana monkey (C. diana), the most similar sequence was a Diana monkey (C. diana) mitochondrial sequence (Total Score: 688 ; Query cover: 92% ; Expected Value: 0.0 ; Identity: 93%).

The positions of the designed primers on the respective partial D-loop HVR1 sequences of Campbell monkey (C. campbelli), Diana monkey (C. diana) and Black colobus (Colobus guereza) are indicated (Appendix 1).

An absence of multiple bands in PCR reactions, the overall consistency of the sequence data between obtained and published sequences, and the position of the obtained sequences in a phylogenetic tree along with relevant sequences of colobine and cercopithecine available in Genbank database (Fig. 3), all indicated that our data are free of nuclear pseudogenes.

Fig. 4 shows PCR amplification with each species-specific primer pair in which both target and non-target samples have been included.

Amplification success for noninvasive samples

Table 1 lists the primer sets that were designed in the present study, their sequences, and the expected size of PCR amplicons. Each primer set was species specific, only amplifying DNA of the target species when tested on four individuals or amplicons of each different primate species, except for primers L15996/PolyR1.

The primer pair designated for Campbell monkey (Cercopithecus campbelli) (MonF2/MonR2) provided positive sensitivity for this species (Fig.4a). The one designed for Diana monkey (C. diana) (DiaF2/DiaR2) is also specific to this species (Fig.4b).

Within the group of Black-and-white colobus monkeys (C. polykomos, C. vellerosus) two primer pairs were designed: L15996/PolyR1 and PolyF2/PolyR2. While the primer pair PolyF2/PolyR2 is specific to Geoffroy's black-and-white colobus (C. vellerosus) (Fig.4c), the primer pair L15996/PolyR1 provided positive results for King colobus (C. polykomos) and Geoffroy's black-and-white colobus (C. vellerosus) (Table 1, Fig.4d).

Of the 52 faecal samples analysed, 7.69% (4/52) showed amplifiable DNA for primers L15996/H16498.

Within Campbell monkey (C. campbelli), 81.25% (13/16) of the faecal samples analysed provided amplifiable DNA for primers MonF2/MonR2; 75% (3/4) faecal samples of Diana monkey (C. diana) amplified for primers DiaF2/DiaR2; 100% (10/10) faecal sample of Geoffroy's black-and-white colobus (C. vellerosus) amplified for primers PolyF2/PolyR2 and 50% (4/8) faecal sample of King colobus (C. polykomos) amplified for primers L15996/PolyR1.

Fig. 3

Maximum Likelihood phylogenetic tree based on the Hasegawa-Kishino-Yano model [32] inferred from 11 nucleotide sequences of a portion of mitochondrial HVRI region. Sequences generated by our data are labeled in red and those obtained from GenBank are labelled with their GenBank accession number. Percent bootstrap values obtained from 500 replicates are indicated on the branches.

10.1177_194008291400700312-fig3.tif

Discussion

The identification tools for the primate species described in this study can be used to rapidly, cheaply, and reliably assign individuals to species, thus facilitating basic biological research.

Of the four primer pairs designed, three are respectively specific to Campbell monkey (Cercopithecus campbelli), Diana monkey (Cercopithecus diana), and Geoffroy's black-and-white colobus (Colobus vellerosus), and another one is specific to Geoffroy's black-and-white colobus (Colobus vellerosus) and King colobus (Colobus polykomos). The fact that one of the primers could not distinguish between Geoffroy's black-and-white colobus (C. vellerosus) and King colobus (C. polykomos) suggests that both the taxa share major haplotypes as a result of possible hybridization. Geoffroy's black-and-white colobus (C. vellerosus) and King colobus (C. polykomos) share a contact zone at the interfluvial region extending between the Sassandra and Bandama rivers. Based on vocalization data and pelage feature, Gonedelé Bi et al. [34] reported a possible exchange of gene pools between Geoffroy's black-and-white colobus (C. vellerosus) and King colobus (C. polykomos) at the contact zone. Indeed the hybridization hypothesis between C. polykomos and C. vellerosus at the Sassandra - Bandama interfluvial region has been supported by Groves et al. [35]. This region has also been defined as a hybridization zone for several mammal taxa [36].

In primates, hybridization at contact zones occurs frequently among a number of closely related taxa, including members of both New and Old World monkeys as well as members of the clade containing apes and humans, and likely played an important role in structuring diversity in the primate order [37]. Such contact zones have been particularly well-documented for gibbons [38, 39], baboons [40414243], and macaques [444546474849].

Fig. 4

Photograph of 2.8% agarose Seakam showing PCR products of Campbell monkey (Cercopithecus campbelli), Diana monkey (Cercopithecus diana), lesser spot-nosed monkey (Cercopithecus petaurista), Geoffroy's black-and-white colobus (Colobus vellerosus), King colobus (Colobus polykomos), Red colobus (Piliocolobus badius) and Olive colobus (Procolobus verus). Lane 1–8 represent amplicons obtained using species-specific primers. M: size standard (100 bp DNA ladder).

10.1177_194008291400700312-fig4.tif

Among the seven primate species analyzed, three (C. diana, C. polykomos and Colobus vellerosus) are listed as vulnerable on the IUCN red list. During the reconnaissance survey conducted throughout the protected areas in Côte d'Ivoire, Gonedelé Bi et al. [50] failed to observe these species in several of the forests where they were previously reported [51525354]. At the local level, based on presence/absence data, we reported that Geoffroy's black-and-white colobus (Colobus vellerosus) is critically endangered, whereas Diana monkey (C. diana), and King colobus (C. polykomos) are endangered due to the decline of their population size, their extent of occurrence and area of occupancy [50]. Since the presence/absence data are especially susceptible to erroneous or ‘false’ absences due to an animal's ability to disperse or hide during field surveys [55, 56], our molecular based methods could overcome these difficulties. Indeed several studies have indicated that hunting pressure affects the detectability of primate populations [6].

The four primer pairs designed within four species of West African primates prove to be a reliable species identification tool based on field-collected faeces samples.

The fragments amplified by these primers are longer than the positive control fragment amplified (100 bp). Since amplification success drastically decreased with increasing amplicon length [57], a lack of PCR product does not mean the sample is not the target species, as the lack of product could be PCR failure due to poor quality DNA. But a positive result (PCR amplification success) does mean the sample is target species DNA.

Development of DNA-based technologies to identify species has been the goal of many conservation, wildlife, and forensic biologists. In non-invasive studies, repeated PCR analyses and continuous monitoring of data quality are essential to ensure accurate data [7, 58]; therefore, it is crucial to reduce the time and cost involved in each step of data production. In this context, our designed primers can be an easy and quick approach that can be considerably useful, especially in studies of West African primates. Thus, for long-term monitoring programs, this method can be both faster and cheaper than sequencing, while much more straightforward than possible RFLP tests.

Implication for conservation

Whereas several species molecular identification tools have been designed for West African chimpanzee [8, 59], very few if any species identification tools are available for West African Catharine primates. These species are facing severe threats from intensive poaching and forest encroachment in the absence of strong protective actions [60]. The species that have survived in these habitats are now cryptic and difficult to observe. Molecular techniques represent reliable identification tools to detect such species and can help to monitor endangered primate species in West Africa.

Our method is a simple and efficient means to identify species, eliminating the need for sequencing, which is costly and requires more laboratory equipment. It allows for rapid and noninvasive assessment of primate species and is particularly useful for surveying species throughout their range of occurrence.

The species-specific PCR primer sets designed by this study are successful in amplifying DNA extracted from fecal samples of target species among seven primate species. The success of these primers can help to monitor West African primates where these species became cryptic and shy due to intensive hunting pressure and habitat deterioration. These primers could aid studies involving species identification, with implications for the conservation of West African primates.

Acknowledgements

We are grateful to the Ministère de l'Environnement et de la Protection de la Nature of Côte d'Ivoire for permission to conduct this study in Côte d'Ivoire's National Parks and forest reserves. This work was supported in part by the Centre Suisse de Recherches Scientifiques and Max Planck Institute. We provide special thanks to Christophe Boesch and Linda Vigilant for their support in the conceptual design of the project. We are grateful to Heike Siedel for laboratory assistance.

References

1.

Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., and Kent, J., 2000. Biodiversity hotspots for conservation priorities. Nature 403:853–858. Google Scholar

2.

Oates, J. F., 2011. Primates of West Africa. A Field Guide and Natural History. Arlington, Conservation International. Google Scholar

3.

Fahrig, L., 1997. Relative effects of habitat loss and fragmentation on population extinction. Journal of Wildlife Management 61:603–610. Google Scholar

4.

Michalski, F., and Peres, C. A., 2005. Anthropogenic determinants of primate and carnivore local extinctions in a fragmented forest landscape of southern Amazonia. Biological Conservation 124:383–396. Google Scholar

5.

Refisch, J., and Koné, I., 2005. Impact of commercial hunting on monkey populations in Taï region, Côte d'Ivoire. Biotropica 37:136–144. Google Scholar

6.

Wilson, G. J., and Delahay, R. J., 2001. A review of methods to estimate the abundance of terrestrial carnivores using field signs and observation. Wildlife Research 28:151–164. Google Scholar

7.

Taberlet, P., Griffin, S., Goossens, B., Questiau, S., Manceau, V., Escaravage, N., Waits, L. P., and Bouvet, J., 1996. Reliable genotyping of samples with very low DNA quantities using PCR. Nucleic Acids Research 24:3189–3194. Google Scholar

8.

Morin, P. A., Chambers, K. E., Boesch, C., and Vigilant, L., 2001. Quantitative polymerase chain reaction analysis of DNA from noninvasive samples for accurate microsatellite genotyping of wild chimpanzees (Pan troglodytes verus). Molecular Ecology 10:1835–1844. Google Scholar

9.

Baker, P. J., Ansell, R. J., Dodds, P. A., Weber, C. E., and Harris, S., 2003. Factors affecting the distribution of small mammals in an urban area. Mammal Review 33:95–100. Google Scholar

10.

Pocock, M. J. O., and Jennings, N., 2008. Testing biotic indicator taxa: the sensitivity of insectivorous mammals and their prey to the intensification of lowland agriculture. Journal of Applied Ecology 45:151–160. Google Scholar

11.

Battersby, J. E., and Greenwood, J. J. D., 2004. Monitoring terrestrial mammals in the UK: past, present and future, using lessons from the bird world. Mammal Review 34:3–29. Google Scholar

12.

Wasser, S. K., Houston, C. S., Koehler, G. M., Cadd, G. G., and Fain, S. R., 1997. Techniques for application of faecal DNA methods to field studies of Ursids. Molecular Ecology 6:1091–1097. Google Scholar

13.

Haag, T., Santos, A. S., De Angelo, C., Srbek-Araujo, A. C., Sana, D. A., Morato, R. G., Salzano, F. M., and Eizirik, E., 2009. Development and testing of an optimized method for DNA-based identification of jaguar (Panthera onca) and puma (Puma concolor) faecal samples for use in ecological and genetic studies. Genetica 136:505–512. Google Scholar

14.

Reed, J. Z., Tollit, D. J., Thompson, P. M., and Amos, W., 1997. Molecular scatology: the use of molecular genetic analysis to assign species, sex and individual identity to seal faeces. Molecular Ecology 6:225–234. Google Scholar

15.

Kohn, M. H., York, E. C., Kamradt, D. A., Haught, G., Sauvajot, R. M., and Wayne, R. K., 1999. Estimating population size by genotyping faeces. Proceedings of the Royal Society B: Biological Sciences 266:657–663. Google Scholar

16.

Sloane, M. A., Sunnucks, P., Alpers, D., Beheregaray, L. B., and Taylor, A. C., 2000. Highly reliable genetic identification of individual northern hairy-nosed wombats from single remotely collected hairs: a feasible censusing method. Molecular Ecology 9:1233–1240. Google Scholar

17.

Parsons, K. M., 2001. Reliable microsatellite genotyping of dolphin DNA from faeces. Molecular Ecology Notes 1:341–344. Google Scholar

18.

Napolitano, C., Bennett, M., Johnson, W. E., O'Brien, S. J., Marquet, P. A., Barría, I., Poulin, E., and Iriarte, A., 2008. Ecological and biogeographical inferences on two sympatric and enigmatic Andean cat species using genetic identification of faecal samples. Molecular Ecology 17:678–690. Google Scholar

19.

Bergl, R. A., and Vigilant, L., 2007. Genetic analysis reveals population structure and recent migration within the highly fragmented ranger of the Cross River gorilla (Gorilla gorilla diehli). Molecular Ecology 16:501–516. Google Scholar

20.

Goossens, B., Chikhi, L., Jalil, M. F., Ancrenaz, M., Lackman-Ancrenaz, I., Mohamed, M., Andau, P., and Bruford, M. W., 2005. Patterns of genetic diversity and migration in increasingly fragmented and declining orang-utan (Pongo pygmaeus) populations from Sabah, Malaysia. Molecular Ecology 14:441–456. Google Scholar

21.

Castro-Arellano, I., Madrid-Luna, C., Lacher, T. E., and Leon-Paniagua, L., (2008) Hair-trap efficacy for detecting mammalian carnivores in the tropics. Journal of Wildlife Management 72:1405–1412. Google Scholar

22.

van Vliet, N., Zundel, S., Miquel, C., Taberlet, P., and Nasi, R., 2008. Distinguishing dung from blue, red and yellow-backed duikers through noninvasive genetic techniques. African Journal of Ecology 46:411–417. Google Scholar

23.

Gebhardt, K. J., Brightsmith, D., Powell, G., and Waits, L. P., 2009. Molted feathers from clay licks in Peru provide DNA for three large macaws (Araararauna, A. chloropterus, and A. macao). Journal of Field Ornithology 80:183–192. Google Scholar

24.

Roques, S., Adrados, B., Chavez, C., Keller, C., Magnusson, W. E., Palomares, F., and Godoy, J. A., 2011. Identification of Neotropical felids using RCP-PCR. Molecular Ecology Resources 11:171–175. Google Scholar

25.

Murphy, M. A., Kendall, K. C., Robinson, A., and Waits, L. P., 2007. The impact of time, and field conditions on brown bear (Ursus arctos) faecal DNA amplification. Conservation Genetic 8:1219–1224. Google Scholar

26.

Nichols, E., Spector, S., Louzada, J., Larsen, T., Amezquita, S., and Favila, M. E., 2008. Ecological functions and ecosystem services provided by Scarabaeinae dung beetles. Biological Conservation 141:1461–1474. Google Scholar

27.

Bensasson, D., Zhang, D. X., Hartl, D. L., and Hewitt, G. M., 2001. Mitochondrial pseudogenes: evolution's misplaced witnesses. Trends in Ecology and Evolution 16:314–321. Google Scholar

28.

Thalmann, O., Hebler, J., Poinar, H. N., Paabo, S., and Vigilant, L., 2004. Unreliable mtDNA data due to nuclear insertions: a cautionary tale from analysis of humans and other great apes. Molecular Ecology 13:321–335. Google Scholar

29.

Kocher, T. D., Thomas, W. K., Meyers, A., Edwards, S. V., Paabo, S., Villablanca, F. X., and Wilson, A. C., 1989. Dynamics of mitochondrial-DNA evolution in animals - amplification and sequencing with conserved primers. Proceedings of the National Academy of Sciences of the United States of America 86: 6196–6200. Google Scholar

30.

Sullivan, K. M., Mannucci, A., Kimpton, C. P., and Gill, P., 1993. A rapid and quantitative DNA sex test – fl rapid and-based PCR analysis of X-Y homologous gene amelogenin. Biotechniques 15:636–641. Google Scholar

31.

Kilger, C., and Pääbo, S., 1997. Direct DNA sequence determination from total genomic DNA. Nucleic Acid Research 25:2032–2034. Google Scholar

32.

Hasegawa, M., Kishino, H., and Yano, T., 1985. Dating the human-ape split by a molecular clock of mitochondrial DNA. Journal of Molecular Evolution 22:160–174. Google Scholar

33.

Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., and Kumar, S., 2011. MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Molecular Biology and Evolution 28:2731–2739. Google Scholar

34.

Gonedelé Bi, S., Bitty, E. A., Ouatara, K., and McGraw, W. S., 2014. Primate surveys in Côte d'Ivoire's Sassandra - Bandama interfluvial region with notes on a remnant population of black-and-white colobus. African Journal of Ecology https://doi.org/10.1111/aje.12151. Google Scholar

35.

Groves, C. P., Angst, R., and Westwood, C. R., 1993. The status of Colobus polykomos dollmani Schwarz. International Journal of Primatology 14:573–586. Google Scholar

36.

Kingdon, J., 1997. The Kingdon Field Guide of African Mammals. Academic Press, London. Google Scholar

37.

Arnold, M. L., and Meyer, A., 2006. Natural hybridization in primates: one evolutionary mechanism. Zoology (Jena) 109:261–76. Google Scholar

38.

Brockelman, W. Y., and Gittins, S. P., 1984. Natural hybridization in the Hylobates lar species group: implications for speciations in gibbons. In: The lesser apes. Evolutionary and behavioural biology.Preuschoft, H., Chivers, D. J., Brockelman, W. Y., and Creel, N., (eds), pp 498–532. Edinburgh. Google Scholar

39.

Marshall, J. T., and Sugardjito, J., 1986. Gibbon systematics. In: Comparative primate biology.Swindler, D. R., and Erwin, J., (Eds.), pp. 137–185. Alan R. Liss., New York. Google Scholar

40.

Phillips-Conroy, J., and Jolly, C., 1986. Changes in the structure of the baboon hybrid zone in the Awash National Park, Ethiopia. American Journal of Physical Anthropology 71:337–350. Google Scholar

41.

Phillips-Conroy, J., Jolly, C. J., and Brett, F. L., 1991. Characteristics of Hamadryas-like male baboons living in Anubis baboon troops in the Awash hybrid zone, Ethiopia. American Journal of Physical Anthropology 86: 353–368. Google Scholar

42.

Jolly, C. J., Woolley-Barker, T., Beyene, S., Disotell, T. R., and Phillips-Conroy, J. E., 1997. Intergeneric hybrid baboons. International Journal of Primatology 18:597–627. Google Scholar

43.

Alberts, S. C., and Altmann, J., 2001. Immigration and hybridization: patterns of yellow and Anubis baboons in and around Amboseli, Kenya. American Journal of Primatology 53: 139–154. Google Scholar

44.

Fooden, J., 1964. Rhesus and crab-eating macaques: intergradation in Thailand. Science 143:363–364. Google Scholar

45.

Bernstein, I. S., 1966. Naturally occurring primate hybrids. Science 154, 1559–e1560. Google Scholar

46.

Supriatna, J., 1991. Hybridization between Macaca maurus and Macaca tonkeana: a test of species status using behavioral and morphogenetic analysis. Ph.D. Dissertation, University of New Mexico. Google Scholar

47.

Froehlich, J. W., and Supriatna, J., 1996. Secondary intergradation between Macaca maurus and M. tonkeana. In: Evolution and Ecology of Macaque Societies.Fa, J. E., and Lindberg, D. G., (Eds.), pp. 43–70. Cambridge University Press, Cambridge. Google Scholar

48.

Bynum, E. L., Bynum, D. Z., and Supriatna, J., 1997. Confirmation of the hybrid zone between wild populations of Macaca tonkeana and Macaca hecki in central Sulawesi, Indonesia. American Journal of Primatology 43:181–209. Google Scholar

49.

Evans, B. J., Supriatna, J., and Melnick, D. J., 2001. Hybridization and population genetics of two macaque species in Sulawesi, Indonesia. Evolution 55:1683–1702. Google Scholar

50.

Gonedelé Bi, S., Koffi, B. J. C., Bitty, E. A., Koné, I., Akpatou, B., and Zinner, D., 2012. Distribution and conservation status of catarrhine primates in Côte d'Ivoire (West Africa). Folia Primatologica 83:11–23. Google Scholar

51.

McGraw, W. S., 1998. Three monkeys nearing extinction in the forest reserves of the eastern Côte d'Ivoire. Oryx 32:233–236. Google Scholar

52.

Mcgraw, W. S., Monah, I. T., and Abedi-Lartey, M., 1999. Survey of endangered primates in the forest reserves of eastern Cote d'Ivoire. African Primates 3:22–25. Google Scholar

53.

Koné, I., Bené, J. C., and Bitty, A., 2006. Prospections dans les forêts de l'extrême sud-est de la Côte-d'Ivoire en vue d'y confirmer la présence de Cercopithecus diana roloway, Cercocebus atys lunulatus et Piliocolobus badius waldronae: cas de la forêt non protégée de la lagune Ehy, de la Forêt Classée de N'gandan N'gandan et du Parc National des Îles Ehotilé. Rapport de mission pour CEPA, 21 février au 12 mars 2006. Google Scholar

54.

Gonedelé Bi, S., Zinner, D., Koné, I., Goné Bi, Z., Akpatou, B., Koffi Bené, J. C., Sangaré, A., and Boesch, C., 2006. A West African black-and-white colobus monkey, Colobus polykomos dollmani Schwarz, 1927, facing extinction. Primate Conservation 21: 55–61. Google Scholar

55.

Hausser, J., 1995. Mammifères de la Suisse: Répartition Biologie Ecologie. Commission des Mémoires de l'Académie Suisse des Sciences Naturelles. Birkhäuser Verlag, Basel. Google Scholar

56.

Hirzel, A., Hausser, J., Chessel, D., and Perrin, N., 2002. Ecological-niche factor analysis: How to compute habitat-suitability maps without absence data? Ecology 83: 2027–2036. Google Scholar

57.

Smith, S., Vigilant, L., and Morin, P. A., 2002. The effects of sequence length and oligonucleotide mismatches on 5″ exonuclease assay efficiency. Nucleic Acids Research 30: e111. Google Scholar

58.

Taberlet, P., Waits, L. P., and Luikart, G., 1999. Noninvasive genetic sampling: look before you leap. Trends in Ecology & Evolution 14:323–327. Google Scholar

59.

Bradley, B. J., Chambers, K. E., and Vigilant, L., 2001. Accurate DNA-based sex identification of apes using non-invasive samples. Conservation Genetics 2:179–181. Google Scholar

60.

Bitty, E. A., Gonedelé Bi, S., and Mcgraw, W. S., 2013. Accelerating deforestation and hunting in protected reserves jeopardize primates in southern Côte d'Ivoire. American Journal of Physical Anthropology Supp 56:81–82. Google Scholar

Appendices

Appendix 1:

Mitochondrial D-loop HVR1 sequences of Diana monkey (Cercopithecus diana), Campbell monkey (Cercopithecus campbelli) sequenced using primers L15996/H16496 and Eastern black-and-white colobus (Colobus guereza) sequence accessible from GenBank (GenBank accession number AY863427). Positions of species-specific primers designed in this study are shaded

10.1177_194008291400700312-fig5.tif
© 2014 Sery Gonedelé Bi, Didier P. Sokouri, Oulo Alla-N'Nan, Kouakou Tiékoura, Marcel Lolo and, Félix Gnangbé. This is an open access paper. We use the Creative Commons Attribution 4.0 license http://creativecommons.org/licenses/by/4.0/us/. The license permits any user to download, print out, extract, archive, and distribute the article, so long as appropriate credit is given to the authors and source of the work. The license ensures that the published article will be as widely available as possible and that your article can be included in any scientific archive. Open Access authors retain the copyrights of their papers. Open access is a property of individual works, not necessarily journals or publishers.
Sery Gonedelé Bi, Didier P. Sokouri, Oulo Alla-N'Nan, Kouakou Tiékoura, Marcel Lolo, and Félix Gnangbé "Primer design for non-invasive genetic identification of West African threatened primates," Tropical Conservation Science 7(3), 548-560, (22 September 2014). https://doi.org/10.1177/194008291400700312
Received: 1 March 2014; Accepted: 19 May 2014; Published: 22 September 2014
KEYWORDS
mitochondrial D-loop HVR1
Primates
species-specific primer
West Africa
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