Identifying Prey of the Javan Mongoose (Urva Javanica) in Java from Fecal Samples Using Next-Generation Sequencing

Identifying Prey of the Javan Mongoose (Urva Javanica) in Java from Fecal Samples Using Next-Generation Sequencing

Identifying prey of the Javan mongoose (Urva javanica) in Java from fecal samples using next-generation sequencing Sena A. Subrata, Stefanie R. T. Siregar, Adrien André & Johan R. Michaux Mammalian Biology Zeitschrift für Säugetierkunde ISSN 1616-5047 Volume 101 Number 1 Mamm Biol (2021) 101:63-70 DOI 10.1007/s42991-020-00086-y 1 23 Your article is protected by copyright and all rights are held exclusively by Deutsche Gesellschaft für Säugetierkunde. This e- offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com”. 1 23 Author's personal copy Mammalian Biology (2021) 101:63–70 https://doi.org/10.1007/s42991-020-00086-y ORIGINAL ARTICLE Identifying prey of the Javan mongoose (Urva javanica) in Java from fecal samples using next‑generation sequencing Sena A. Subrata1 · Stefanie R. T. Siregar2 · Adrien André3 · Johan R. Michaux3 Received: 13 November 2019 / Accepted: 7 November 2020 / Published online: 30 November 2020 © Deutsche Gesellschaft für Säugetierkunde 2020 Abstract The Javan mongoose (Urva javanica) is a mesopredator native to Java island that has been rarely studied. The limited infor- mation raises questions as to its ecological roles, particularly in terms of its efects on agriculture and biodiversity. These questions are critical as its congeneric species, the small Indian mongoose, has been listed among the 100 worst invasive species. To disclose its ecological function, a new approach that is capable of revealing the diet of the Javan mongoose at the species level is required. We conducted this study to identify the prey species of the Javan mongoose using next-generation sequencing methodology. Our study was conducted in a forested area of the southern mountains of Java, Indonesia. We collected fecal samples during the dry season of March–October 2018, extracting DNA using a QIAamp Fast DNA Stool Mini Kit. We performed Illumina sequencing using a 133 bp mini-barcode of the Cytochrome Oxidase I gene. Our rigorous analysis found 17 species, 14 genera, and 12 families of vertebrates and invertebrates in the mongoose feces. The greater bandicoot rat (Bandicota indica) and the domestic chicken (Gallus gallus) made up the primary diet of the Javan mongoose. Cricket, ant, moth, and fy species were also found in the feces. In efect, our results suggested that this species has a relatively diverse diet, one that includes mammals, birds, amphibians, snakes, fsh, and many invertebrates. It confrms that the Javan mongoose has an opportunistic diet, which is most likely related to the availability of putative prey. Keywords Mammals · High-throughput sequencing · eDNA · Role · Fecal Introduction mongoose (Urva auropunctata) (Veron and Jennings 2017). Several reports referred to Urva auropunctata as Herpestes There are a limited number of studies on the ecology and javanicus in its introductory range. Only a few studies have diet of the Javan mongoose (Urva javanica), with several been conducted on Urva javanica in Java, specifically. reports on its phylogeny (Veron et al. 2007), as well as geo- Therefore, this research examined the ecological informa- graphic distribution (Veron and Jennings 2017). However, tion and diet of Javan mongoose in Java island. this limited information on its ecology and diet is also a The lack of information on the Javan mongoose raises consequence of this species’ taxonomic separation, with questions regarding the ecological roles of this species. One Herpestes javanicus split into two diferent species, namely of its congeneric species, the small Indian mongoose, has a the Javan mongoose (Urva javanica) and small Indian positive impact on its ecosystem and is known for its ability to control both insect and rat pest populations in its native range (Mahmood and Adil 2017). However, in its non-native Handling editor: Pamela Burger. ranges, the small Indian mongoose tends to negatively afect * Sena A. Subrata local biodiversity. This high variance in ecological impact [email protected] is related to its opportunistic feeding behavior, as observed by Mahmood and Adil (2017). 1 Faculty of Forestry, Universitas Gadjah Mada, Jl. Agro No. As we have learned from the small Indian mongoose’s case, 1. Bulaksumur, Yogyakarta 55281, Indonesia it is important to have a detailed understanding of the diet 2 Universitas Atmajaya Yogyakarta, Jl. Babarsari No. 44, of the Javan mongoose to avoid population mismanagement, Babarsari, Yogyakarta 55281, Indonesia which leads to a harmful efect for biodiversity. While past 3 Conservation Genetics Unit, Department of Life Sciences, researches [e.g. Seaman and Randall (1962), Gorman (1975), University of Liège, 4000 Liege, Belgium Vol.:(0123456789)1 3 Author's personal copy 64 S. A. Subrata et al. and Mahmood and Adil (2017)] may contribute to our under- Javan mongoose and is predominantly a karst ecosystem standing of the variation of the small Indian mongoose’s feed- previously covered by monsoon forests. In this area, the ing behavior efects, these studies lack detail. In the past, this mongoose coexists with other meso-predators, such as the species was believed to feed on rats; therefore, its introduction leopard cat (Prionailurus bengalensis), common palm to agricultural land in the Virgin islands was justifed as a form civet (Paradoxurus hermaphroditus), Asian small-clawed of pest control (Seaman and Randall 1962). Additional stud- otter (Aonyx cinerea), and small Indian civet (Viverricula ies have revealed a more diverse diet than previously thought. indica). In small parts of the area, remnants of the natu- Gorman (1975) found that insects make up a signifcant frac- ral forest still exist alongside restoration forest spaced by tion of the mongoose’s diet on Fijian archipelago. In their agroforestry land and are close to villages. We conducted native range, they are also known to consume seeds, stems feldwork, collecting putative feces samples in both the and leaves (Mahmood and Adil 2017). These reports describe naturally occurring and restoration forests, during the a wide variation in diet composition, and at a broader taxo- dry season of March–October 2018. In the frst step of nomic scale than the species level. The lack of information on feces collection, feces of the species were identifed in the the diet make-up at the species level may lead to inconsistent feld based on morphological recognition. In the second summations. It also speaks to the difculty of collecting data. step, Javan mongoose feces were confrmed using genetic Studies on the diet of the mongoose also present a meth- tools using a Cytochrome Oxidase I (COI) gene sequence, odological challenge. The aforementioned dietary data of the which was retrieved from GenBank (accession number: small Indian mongoose were mostly obtained using micro- NC_006835) originating from a Fiji sample. Although histological observation of feces or gut contents. However, suboptimal, this selection method was used due to the these approaches are not comprehensive enough to reveal unavailability of the COI sequence from Java. details of the food items, and misidentifcation of the rem- Once found, feces were placed in a 50 ml plastic tube nants at the species level can occur due to fragmented tissue preloaded with silica beads to preserve the feces. Dry- (Casper et al. 2007; Litvaitis and Pearl 2000). Most of the preserved feces were stored in a freezer (c.a. 4 °C) until results generated using these approaches have only given the time of DNA extraction (1–2 weeks). We recorded information at the genus or higher taxonomic levels (Zeale geographic coordinates and habitat types along with the et al. 2011). For purely appraisal purposes, this approach feces’ identity. We then extracted DNA from the feces may be suitable. However, for population management, such samples using a QIAamp Fast DNA Stool Mini Kit (Qia- as biological control of prey populations, a better approach gen, Hilden, Germany). Before following the manufac- capable of identifying the diet of a targeted species is turer’s protocol, we conducted a pre-treatment consisting required. of incubating 0.8–1.6 g of feces in a 5 ml ASL bufer (Qia- Recently, the metabarcoding approach using a next-gen- gen, Germany) at 65 °C for 1 h. This pre-treatment was eration sequencer (NGS) has been developed to identify spe- performed to promote cell lysis, particularly of possible cies from composite samples, like feces. This approach has bones, hairs, and chitin remnants that could be found in been applied for the study of many wildlife species’ diets, the feces of the Javan mongoose. Following pre-treatment, including bats (Zeale et al. 2011; Andriollo et al. 2019), fecal samples were processed in accordance with the man- water shrews (Bif et al. 2017), leopards (Shehzad et al. ufacturer’s protocol. Extracted DNA was quantifed using 2012), as well as more challengingly small creatures like spi- a Qubit 2.0 fuorometer. We eliminated samples that had ders (Macías-Hernández et al. 2018). This approach is able a concentration of less than 1 ng/μl. The libraries were to overcome difculties in identifying the bulk of species prepared following a two-step PCR approach, combined through food remnants found in feces and has been acknowl- with Illumina’s dual indexing strategy: a 133 bp mini- edged to be more precise than morphological observation barcode was amplifed using the primer couple developed (Mumma et al. 2016).

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