GENETIC STRUCTURE AND DIVERSITY OF GREEN TURTLES (Chelonia mydas) FROM TWO ROOKERIES IN THE SOUTH CHINA SEA

Similar documents
INTRODUCTION OBJECTIVE REGIONAL ANALYSIS ON STOCK IDENTIFICATION OF GREEN AND HAWKSBILL TURTLES IN THE SOUTHEAST ASIAN REGION

MULTIPLE PATERNITY IN EGG CLUTCHES OF GREEN TURTLES IN REDANG ISLAND AND SABAH TURTLE ISLANDS PARK, MALAYSIA

PARTIAL REPORT. Juvenile hybrid turtles along the Brazilian coast RIO GRANDE FEDERAL UNIVERSITY

Title Temperature among Juvenile Green Se.

INTRODUCTION OBJECTIVE METHOD IDENTIFICATION OF NATAL ORIGIN SEA TURTLES AT BRUNEI BAY / LAWAS FORAGING HABITATS

Final Report for Research Work Order 167 entitled:

Gulf and Caribbean Research

MARINE TURTLE LANDING, HATCHING, AND PREDATION IN TURTLE ISLANDS PARK (TIP), SABAH

Proceedings of the 2nd Internationa. SEASTAR2000 Workshop) (2005):

Convention on the Conservation of Migratory Species of Wild Animals

Aspects in the Biology of Sea Turtles

Population Structure and Diversity of Brazilian Green Turtle Rookeries Based on Mitochondrial DNA Sequences

MARINE TURTLE GENETIC STOCKS OF THE INDO-PACIFIC: IDENTIFYING BOUNDARIES AND KNOWLEDGE GAPS NANCY N. FITZSIMMONS & COLIN J. LIMPUS

Rookery on the east coast of Penins. Author(s) ABDULLAH, SYED; ISMAIL, MAZLAN. Proceedings of the International Sy

OVERVIEW OF THE RESEARCH ACTIVITIES AT SEAFDEC-MFRDMD

Volume 2 Number 1, July 2012 ISSN:

Loggerhead Turtle (Caretta caretta)

DNA barcodes for globally threatened marine turtles: A registry approach to documenting biodiversity

Conservation Sea Turtles

REPORT / DATA SET. National Report to WATS II for the Cayman Islands Joe Parsons 12 October 1987 WATS2 069

MARINE ECOLOGY PROGRESS SERIES Vol. 245: , 2002 Published December 18 Mar Ecol Prog Ser

RWO 166. Final Report to. Florida Cooperative Fish and Wildlife Research Unit University of Florida Research Work Order 166.

BIODIVERSITY CONSERVATION AND HABITAT MANAGEMENT Vol. II Initiatives For The Conservation Of Marine Turtles - Paolo Luschi

The Seal and the Turtle

Tagging Study on Green Turtle (Chel Thameehla Island, Myanmar. Proceedings of the 5th Internationa. SEASTAR2000 workshop) (2010): 15-19

ASSESSING THE COMPOSITION OF GREEN TURTLE (Chelonia mydas) FORAGING GROUNDS IN AUSTRALASIA USING MIXED STOCK ANALYSES

OKUYAMA, JUNICHI; SHIMIZU, TOMOHITO OSAMU; YOSEDA, KENZO; ARAI, NOBUAKI. Proceedings of the 2nd Internationa. SEASTAR2000 Workshop) (2005): 63-68

The Rufford Foundation Final Report

BRITISH INDIAN OCEAN TERRITORY (BIOT) BIOT NESTING BEACH INFORMATION. BIOT MPA designated in April Approx. 545,000 km 2

Population genetic of Eretmochelys imbricata in two Islands in the northern part of the Persian Gulf using microsatellite markers

Mixed stock analysis of juvenile loggerheads (Caretta caretta) in Indian River Lagoon, Florida: implications for conservation planning

Green Turtle (Chelonia mydas) Foraging and Nesting Aggregations in the Caribbean and Atlantic: Impact of Currents and Behavior on Dispersal

Memorandum of Understanding on the Conservation and Management of Marine Turtles and their Habitats of the Indian Ocean and South-East Asia

REPORT Annual variation in nesting numbers of marine turtles: the effect of sea surface temperature on re-migration intervals

2. LITERATURE REVIEW

Who Really Owns the Beach? The Competition Between Sea Turtles and the Coast Renee C. Cohen

Marine Turtle Research Program

SHORT NOTE THE INCIDENTAL CAPTURE OF FIVE SPECIES OF SEA TURTLES BY COASTAL SETNET FISHERIES IN THE EASTERN WATERS OF TAIWAN

PROJECT DOCUMENT. Project Leader

DNA barcodes for globally threatened marine turtles: a registry approach to documenting biodiversity

Green Turtle (Chelonia mydas) nesting behaviour in Kigamboni District, United Republic of Tanzania.

PROJECT DOCUMENT. This year budget: Project Leader

American Samoa Sea Turtles

Final Report The People s Trust for Endangered Species Project: Conservation genetics and migratory patterns of sea turtles in Southern Brazil

Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida

Jesse Senko, 2,8,9 Melania C. López-Castro, 3,4,8 Volker Koch, 5 and Wallace J. Nichols 6,7

Andaman & Nicobar Islands

Bycatch records of sea turtles obtained through Japanese Observer Program in the IOTC Convention Area

Interaction Between Sea Turtle and Human Activities: A Survey on Local Communities at Kuala Lawas off Brunei Bay. 2.0 OBJECTIVES 1.

Multiple Distant Origins for Green Sea Turtles Aggregating off Gorgona Island in the Colombian Eastern Pacific

Sea Turtle Conservation in Seychelles

Insights into the management of sea turtle internesting area through satellite telemetry

Genetic characterization of the Critically Endangered hawksbill turtle (Eretmochelys imbricata) from the Mexican Pacific region

Applying thresholds to identify key biodiversity areas for marine turtles in Melanesia

ABSTRACT. Ashmore Reef

Research and Management Techniques for the Conservation of Sea Turtles

Marine reptiles review of interactions and populations Final Report

SEA TURTLE MOVEMENT AND HABITAT USE IN THE NORTHERN GULF OF MEXICO

Mixed-stock analysis reveals the migrations of juvenile

Genetic composition and origin of juvenile green turtles foraging at Culebra, Puerto Rico, as revealed by mtdna

CONSERVATION AND MANAGEMENT PLAN

Home Range as a Tool for Conservation Efforts of Sea Turtles at the north Pacific coast of Costa Rica

Genetics and Molecular Biology, 32, 3, (2009) Copyright 2009, Sociedade Brasileira de Genética. Printed in Brazil

Green turtle (Chelonia mydas) genetic diversity at Paranaguá Estuarine Complex feeding grounds in Brazil

Convention on the Conservation of Migratory Species of Wild Animals

First Report of Twinning in the Haw. Author(s) JUNCHOMPOO, CHALATIP; PENPIAN, CHAT

Marine Turtle Surveys on Diego Garcia. Prepared by Ms. Vanessa Pepi NAVFAC Pacific. March 2005

The Strait of Gibraltar is a critical habitat for all these migratory species that require specific measures to decrease threats to biodiversity.

Adani. Appendix B11 Marine Turtle Nesting Surveys, Abbot Beach

Monitoring and conservation of critically reduced marine turtle nesting populations: lessons from the Cayman Islands

Diane C. Tulipani, Ph.D. CBNERRS Discovery Lab July 15, 2014 TURTLES

Field report to Belize Marine Program, Wildlife Conservation Society

Recognizing that the government of Mexico lists the loggerhead as in danger of extinction ; and

Final Report. Nesting green turtles of Torres Strait. Mark Hamann, Justin Smith, Shane Preston and Mariana Fuentes

COCA-LOCA : Connectivity of Loggerhead turtle (Caretta caretta) in Western Indian Ocean, implementation of local and regional management measures

Tortoises And Freshwater Turtles: The Trade In Southeast Asia (Species In Danger) By Martin Jenkins READ ONLINE

Phenological Shifts in Loggerhead Sea Turtle (Caretta caretta) First Nesting Dates. Matthew Bowers. Dr. Larry Crowder, Advisor.

CHARACTERISTIC COMPARISON. Green Turtle - Chelonia mydas

Notes on Juvenile Hawksbill and Green Thrtles in American Samoa!

Region-Wide Leatherback Nesting Declines Are Occurring on Well-Monitored Nesting Beaches

B E L I Z E Country Report. WIDECAST AGM FEB 2, 2013 Linda Searle ><> Country Coordinator

Since 1963, Department of Fisheries (DOF) has taken up a project to breed and protect sea Turtles on Thameehla island.

Effect of tagging marine turtles on nesting behaviour and reproductive success

Research and Management Techniques for the Conservation of Sea Turtles

Multiple Paternity of Caretta Caretta within the Northwestern Atlantic Ocean Population on Wassaw Island, Ga

associated beaches pursuant to the Endangered Species Act ( ESA ), 16 U.S.C et seq.

Green turtles in the Gulf of Venezuela

The state of conservation of sea turtles in the Mediterranean- case study of Greece

PROJECT NARRATIVE. (a) Project Background

Increase in hawksbill sea turtle Eretmochelys imbricata nesting in Barbados, West Indies

Extensive hybridization in hawksbill turtles (Eretmochelys imbricata) nesting in Brazil revealed by mtdna analyses

Satellite tracking highlights the need for international cooperation in marine turtle management

CIT-COP Inf.5. Analysis of the Consultative Committee of Experts on the Compliance with the IAC Resolutions by the Party Countries

BEACH FIDELITY AND INTERNESTING MOVEMENTS OF OLIVE RIDLEY TURTLES (LEPIDOCHELYS OLIVACEA) AT RUSHIKULYA, INDIA

Green turtle (Chelonia mydas) mixed stocks in the southwestern Atlantic, as revealed by

MANAGING MEGAFAUNA IN INDONESIA : CHALLENGES AND OPPORTUNITIES

Endangered and Threatened Species; Identification and Proposed Listing of Eleven

Research and Management Techniques for the Conservation of Sea Turtles

Comparison of reproductive output of hybrid sea turtles and parental species

Managing Sea Turtles in Southeast Asia: Hatcheries and Tagging Activities

Transcription:

Journal of Sustainability Science and Management Special Issue Number 1: The International Seminar on the Straits of Malacca ISSN: 1823-8556 Penerbit UMT GENETIC STRUCTURE AND DIVERSITY OF GREEN TURTLES (Chelonia mydas) FROM TWO ROOKERIES IN THE SOUTH CHINA SEA JUANITA JOSEPH* 1 AND HIDEAKI NISHIZAWA 2 1 Institute of Oceanography and Environment, Universiti Malaysia Terengganu, Terengganu, Malaysia. 2 Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan. *Corresponding author: juanita@umt.edu.my Abstract: To understand the spatial and temporal genetic structure of green turtle (Chelonia mydas) in South China Sea, we analyzed 178 samples collected from two Malaysian rookeries (Redang Island and Sarawak) using the 800 base pair mitochondrial DNA (mtdna) control region sequences. Nucleotide diversity in Redang Island and Sarawak was 0.027 ± 0.014 and 0.023 ± 0.011, respectively. The results confirmed the spatial genetic differences between the two rookeries, and supported the natal philopatry of turtles in South China Sea. However, comparison with 20-year-old data from previous study showed no significant temporal differences, indicating that the genetic structures of the populations are temporally stable. The two major rookeries for the green turtles in this study are different in their genetic make-up, thus should be treated as different management units to ensure their future survival. Keywords: Chelonia mydas, Malaysia, sea turtle, natal homing, genetic diversity. Introduction The major problems in management of sea turtles include recognising genetically and demographically discrete stocks, as well as to protect and manage these stocks over the vast geographic range occupied during their life. Sea turtles unique life history. They are highly migratory and undertake complex movements and migrations through geographically diverse habitats (Hirth, 1997; Miller, 1997). Despite being highly migratory and occupy vast geographical area, tagging studies show strong segregation of females from different nesting beaches (Limpus et al., 1992). These discrete reproductive populations appear to be shaped by the natal homing behaviour (Nishizawa et al., 2011; 2016). Because only females ascend nesting beaches, biological information has come mainly from tagging of nesting females. In recent years, molecular genetic markers are used to uncover aspects of the life history and evolution of marine turtles, as well as a priority research in turtle recovery plans (Moritz et al., 2002; Bowen & Karl, 2007). The tropical waters of Southeast Asian region support many green turtle nesting populations, as well as feeding assemblages, and are of global significance for sea turtle populations (Moritz et al., 2002). The green turtle is listed as Endangered (IUCN 2015), and protected marine animal under CITES, the Convention on International Trade in Endangered Species of Wild Fauna and Flora (Groombridge & Luxmore 1989). The swimming ability of green turtles suggest that their genetic population structures may be homogenous over wide geographic range, but in fact their genetic population structures have been reported to be differentiated among rookeries, because of natal philopatry (reviewed by Bowen & Karl, 2007). An understanding of the population genetic structure of a species is required to establish effective conservation measures and management policies, and for the setting of management units (Moritz et al., 2002). In a previous study, Dethmers et al. (2006) investigated the genetic structure of 27 Australasian green turtles populations, and revealed significant genetic differences between these rookeries. However, their study was based on shorter sequences (ca. 380 bp) of mitochondrial DNA (mtdna), rather than those now generally utilized for sea turtle molecular

Juanita Joseph and Hideaki Nishizawa 42 studies (e.g. LeRoux et al., 2012; Shamblin et al., 2012; 2014). Longer sequences increase the resolution of the results, and thus have been capable of differentiating one haplotype into several discrete haplotypes that were previously assumed to be composed of only a single one. Additionally, because Dethmers et al. (2006) analyzed samples collected in 1993 and 1991, the analysis of newly collected sea turtle samples will contribute to the understanding of the temporal variation on a decadal time scale. Other than the study of Dethmers et al. (2006), Joseph (2006) had also conducted a genetic population study of sea turtles in Malaysia using microsatellite DNA markers. The findings had also shown significant differences between the nesting beaches in Malaysia. Apart from that, using microsatellite DNA markers, paternity study of sea turtles in Malaysia had also been determined (Joseph & Shaw, 2011). This study aimed to determine the genetic population structures of the Malaysian green turtle rookeries in the South China Sea and to analyze (1) spatial genetic differences between the two Malaysian rookeries, and (2) temporal genetic differences on a decadal time scale. Materials and Methods Sample Collection Samples were collected in 2014 (March September) from the hatchlings of identified (tagged) nesting green turtles in Redang Island (05 o 49 N, 103 o 00E) and Sarawak (01 54.7303 N, 109 46.6260 E) (Figure 1). Because of matrilineal inheritance, hatchlings are assumed to contain the same mtdna haplotypes as their mothers. Only one hatchling was collected from each nest. Blood samples were collected and preserved in a lysis buffer following Joseph et al. (2016). A total of 56 and 122 samples from different nesting green turtles in Redang Island and Sarawak, respectively, were analyzed. Sampling of sea turtles was conducted under the permits NCCD.907.4.4 [Jld. 9] 67 and Export Permit No. 15017 to transport the blood samples from Sarawak to Universiti Malaysia Terengganu. Figure 1: Rookery collection sites for the green turtle samples (Redang Island and Sarawak) in South China Sea. Map created using Maptool program of SEATURTLE.ORG

GENETIC STRUCTURE AND DIVERSITY OF GREEN TURTLES (Chelonia mydas) 43 Laboratory Analysis Genomic DNA was extracted using a quick CTAB protocol (Bruford et al., 1992) and was amplified using the 800bp primers LCM15382 and H950g (Abreu-Grobois et al. 2006). The polymerase Chain Reaction (PCR) amplification and sequencing protocol were based on Joseph et al. (2016). Data Analysis Sequences were checked using CLUSTALW (Tamura et al., 2013). Haplotypes were identified by performing a search against a collated database of known green turtle haplotypes. The Southwest Fisheries Science Center, NOAA Fisheries Service (https://swfsc. noaa.gov), and the GenBank database (National Center for Biotechnology Information, USA: NCBI website http://www.ncbi.nlm.nih.gov) was referred to the Pacific and Indian Ocean green turtle mtdna sequences. An unrooted network of detected haplotypes was created using TCS v1.21 (Clement et al., 2000). Nucleotide diversity (π) and haplotype diversity (h) were estimated using ARLEQUIN v3.5 (Excoffier & Lischer, 2010). To identify the genetic differentiation between Redang Island and Sarawak rookeries, haplotype frequency was compared using the exact test implemented in ARLEQUIN v3.5. In addition, the significance of Φ ST and conventional F ST values was tested via a permutation test (10,000 permutations) in ARLEQUIN v3.5. The nesting green turtles of Redang Island (n = 12) and Sarawak (n = 22), sampled in 1993 and 1991, respectively, had been previously analyzed by Dethmers et al. (2006). Therefore, differences in haplotype frequency, Φ ST significances, and conventional F ST values between this study and that of Dethmers et al. (2006) were also tested to analyze the temporal consistency of the populations genetic structures. Because Dethmers et al. (2006) identified haplotypes using shorter sequences, sequences acquired in this study were trimmed for these comparisons. Results and Discussion A total of eight haplotypes were identified from the Redang Island and Sarawak rookeries. Six haplotypes were found in each rookery, of which four haplotypes were shared between both rookeries (Table 1). Five haplotypes including the four shared haplotypes, CmP49.1, CmP 57.1, CmP 82.1, CmP87.1, and CmP 91.1, contained sequences identical to those haplotypes based on shorter gene regions, from rookeries in Southeast Asia and Australia (Dethmers et al., 2006). Haplotype CmP49.1 was observed at a relatively low frequency (4 of 70 samples) in the northwestern Pacific rookeries of Central Ryukyus, Japan (Hamabata et al., 2014). In addition, the haplotypes CmP49.1 (1 of 48 samples) and CmP91.1 (1 of 538 samples) which had been previously observed in the western Pacific rookeries of Guam/Commonwealth of the Northern Mariana Islands and Ulithi Atoll of Federated States of Micronesia, respectively (Dutton et al., 2014) were also observed albeit at low frequencies. One haplotype (CmP133.1) has not been reported in previous studies, and Table 1: Haplotype frequency of green turtles in Malaysian rookeries Haplotype Redang Island Sarawak Haplotype of shorter sequence in Dethmers et al. (2006) CmP49.1 28 26 C3 CmP57.1 0 1 D2 CmP82.1 3 5 B5 CmP87.1 6 87 C4 CmP91.1 2 0 C14 CmP103.1 7 0 CmP104.1 10 2 CmP133.1 0 1 Total 56 122

Juanita Joseph and Hideaki Nishizawa 44 Figure 2: Network of detected haplotypes. A black bar indicates one base substitution. Names of clades correspond to those of Dethmers et al. (2006) was thus registered in Genbank (accession no. KP893544). The unrooted network of haplotypes (Figure 2) indicated that the haplotypes belonged to two clades, corresponding to clades I and IV as described by Dethmers et al. (2006). Nucleotide diversity (π) and haplotype diversity (h) were π = 0.027 ± 0.014 and h = 0.699 ± 0.051 in Redang Island, respectively, and π = 0.023 ± 0.011 and h = 0.448 ± 0.046 in Sarawak, respectively. Significant differences between the Redang Island and Sarawak rookeries were demonstrated by differences in haplotype frequency (p < 0.00001) and F ST value (F ST = 0.313, p < 0.00001), but not the Φ ST value (Φ ST = 0.024, p = 0.09). Dethmers et al. (2006) indicated that the mtdna haplotypes of green turtles in Southeast Asia and western Pacific green turtles were divided into several clades that were supported by the analysis of longer sequences of data by Dutton et al. (2014). In agreement with Dethmers et al. (2006), haplotypes in two distinct clades (Clades I and IV in Dethmers et al., 2006) were also observed at the South China Sea rookeries in this study. While Clade IV haplotypes were more variable and common in the northwestern Pacific, especially in the central Ryukyus (Hamabata et al., 2014), the coexistence of the two distinct clades is suggested to be the characteristic of green turtle rookeries in the South China Sea. In addition, the significant genetic differences between the two rookeries in this study confirmed the natal philopatry of green turtles in South China Sea. Tagging programs conducted by the Universiti Malaysia Terengganu at Redang Island since 1993 (Chan, 2013) and the Sarawak Forestry Corporation since 1996 (Sarawak Forestry Corporation, unpublished data) had also shown nesting site fidelity of female turtles to these rookeries with yearly return to the same beach for nesting. This study confirmed the genetic differences between Redang Island and Sarawak rookeries hence it is suggested that these rookeries should be treated as different management units. The heterogeneity among nesting rookeries of green turtles in the South China Sea suggests that recently depleted populations cannot be restored through natural colonization, except over a very long-term period (i.e. 100 or 1000 s of generations). The long-term sea turtle conservation efforts conducted by the Universiti Malaysia Terengganu, Fisheries Department of Malaysia and the Sarawak Forestry Corporation should be continued to ensure high hatchlings output to replenish future stocks of these two rookeries. Comparisons with the study by Dethmers et al. (2006) detected no significant differences between the Redang Island data from this study and that of the previous study (exact test: p = 0.20; Φ ST = 0.085, p = 0.07; F ST = 0.016, p = 0.25). The same was true for the Sarawak rookery (exact test: p = 0.52; Φ ST = -0.023, p = 0.57; F ST = 0.007, p = 0.26). Thus, in contrast to spatial genetic differentiation, no temporal genetic differentiation was detected for the Redang Island and Sarawak rookeries. The similarity in haplotype compositions from this study (sample collected in 2014) to those recorded by Dethmers et al. (2006) (samples collected in 1993 and 1991) indicated that the populations genetic structure has been consistent over the past 20 years. Nishizawa et al. (2016) investigated the population s genetic structure of the hawksbill turtle samples from Southeast Asia and reported that no temporal genetic changes were found to have occurred on a decadal time scale. Other studies had also reported no genetic differences on a decadal time scale in sea turtle populations (Bjorndal et al., 2005; Shamblin et al., 2011),

GENETIC STRUCTURE AND DIVERSITY OF GREEN TURTLES (Chelonia mydas) 45 despite the restricted resolutions resulting from having a shared dominant haplotype (Bjorndal et al., 2005), or the apparent temporal differences observed in some rookeries (Shamblin et al., 2011). Strong genetic drift is estimated to cause temporal genetic heterogeneity, but the overlapping of turtle generations resulting from long generation times (8 12 years in captive turtles: Bjorndal et al. 2013; and an estimated 25 50 years in wild turtles: Chaloupka & Limpus, 2005) and a long turtle reproductive period (estimated to last about 19 years after reaching maturity, according to Chaloupka & Limpus, 2005) probably contribute to the temporal genetic homogeneity observed in the green turtle populations examined in this study. At the same time, newly recruited nesting turtles possibly have similar genetic compositions, confirming the presence of little gene flow between differentiated populations on a decadal time scale, and natal philopatry. Conclusion In conclusion, this study has confirmed the presence of spatial genetic differences between the two Malaysian rookeries of Redang Island and Sarawak, a further evidence for the natal philopatry of turtles. However, no significant temporal differences in the Malaysian green turtle populations on a decadal time scale were observed. The two major green turtle nesting rookeries in South China Sea are different in their genetic make-up and must be locally conserved and managed to ensure future survival of the populations. The long-term protection of sea turtles and their eggs at nesting beaches as currently conducted at Redang Island by Universiti Malaysia Terengganu and Fisheries Department of Malaysia, and Sarawak by the Sarawak Forestry Corporation is an effective and essential conservation strategy. Acknowledgements Special thanks to the Sarawak Forestry Department and the Sarawak Forestry Corporation for approving the sampling permits at Talang-Satang National Park, Sarawak. This work was supported by the INOS-HICoE and the Turtle Trust Fund of Universiti Malaysia Terengganu. Sampling permits for this research were NCCD.907.4.4 [Jld. 10] 181, Park Permit No. 142/2014 and Export Permit No. 15017 to bring the blood samples to Universiti Malaysia Terengganu. References Abreu-Grobois, F. A., Horrocks, J., Formia, A., Leroux, R., Velez-Zuazo, X., Dutton, P., Soares, L., Meylan, P., & Browne, D. (2006). New d-loop Primers which Work for a Variety of Marine Turtle Species may Increase the Resolution Capacity of Mixed Stock Analyses.Presentation at the 26th Annual Symposium on Sea Turtle Biology and Conservation, Crete, Greece, 2-8 April, 2006. Bjorndal, K. A., Bolten, A. B., & Troëng, S. (2005). Population Structure and Genetic Diversity in Green Turtle Nesting at Tortuguero, Costa Rica, Based on Mitochondrial DNA Control Region Sequences. Mar. Biol., 147: 1449-1457. Bjorndal, K. A., Parsons, J., Mustin, W., & Bolten, A. B. (2013). Threshold to Maturity in a Long-lived Reptile: Interactions of Age, Size, and Growth. Mar. Biol., 160: 607-616. Bowen, B. W., & Karl, S. A. (2007). Population Genetics and Phylogeography of Sea Turtles. Mol. Ecol., 16: 4886-4907. Bruford, M. V., Hanotte, O., Brookfield, J. F. Y., & Bruke, T. (1992). Single-locus and Multilocus DNA Fingerprinting. In: Hoelzel AR (ed.) Molecular GeneticAnalysis of Population. Oxford: IRL Press. p 225-269. Chaloupka, M., & Limpus, C. (2005). Estimates of Sex- and Age-class-specific Survival Probabilities for a Southern Great Barrier Reef Green Sea Turtle Population. Mar. Biol., 146: 1251-1261. Chan, E. H. (2013). A Report on the First 16 Years of a Long-term Marine Turtle

Juanita Joseph and Hideaki Nishizawa 46 Conservation Project in Malaysia. Asian Journal of Conservation Biology, 2: 129-135. Clement, M., Posada, D., & Crandall, K. A. (2000). TCS: A Computer Program to Estimate Gene Genealogies. Mol. Ecol., 9: 1657-1660. Dethmers, K. E. M., Broderick, D., Moritz, C., Fitzsimmons, N. N., Limpus, C. J., Lavery, S., Whiting, S., Guinea, M., Prince, R. I. T., & Kennett, R. (2006). The Genetic Structure of Australasian Green Turtles (Chelonia mydas): Exploring the Geographical Scale of Genetic Exchange. Mol. Ecol., 15: 3931-3946. Dutton, P. H., Jensen, M. P., Frey, A., LaCasella, E., Balazs, G. H., Zárate, P., Chassin-Noria, O., Sarti-Martinez, A. L., & Velez, E. (2014). Population Structure and Phylogeography Reveal Pathways of Colonization by a Migratory Marine Reptile (Chelonia mydas) in the Central and Eastern Pacific. Ecol. Evol., 4: 4317-4331. Excoffier, L., & Lischer, H. E. L. (2010). Arlequin Suite Ver 3.5: A New Series of Programs to Perform Population Genetics Analyses under Linux and Windows. Mol. Ecol. Resources, 10: 564-567. Groombridge, B., & Luxmore, R. (1989) The Green Turtle and Hawksbill Turtle (Reptilia Cheloniidae): World Status, Exploitation and Trade. Lausanne, Switzerland: CITES Secretariat, 601p. Hamabata, T., Kamezaki, N., & Hikida, T. (2014). Genetic Structure of Green Turtle (Chelonia mydas) Peripheral Populations Nesting in the Northwestern Pacific Rookeries: Evidence for Northern Refugia and Postglacial Colonization. Mar. Biol., 161: 495-507. Hirth, H. F. (1997). Synopsis of the Biological Data on the Green Turtle Chelonia mydas (Linnaeus 1758). Washington DC: Fish and Wildlife Service, US. IUCN (2015). IUCN Red List of Threatened Species version 2014.3. Retrieved from http://www.iucnredlist.org Joseph, J. (2006). Conservation Genetics of Green (Chelonia mydas) and Hawksbill (Eretmochelys imbricata) Sea Turtles of Southeast Asia. Ph.D Thesis. Royal Holloway, University of London. Joseph, J., & Shaw, P. W. (2011). Multiple Paternity in Egg Clutches of Hawksbill Turtles (Eretmochelys imbricata). Conservation Genetics, 12: 601-605. Joseph, J., Nishizawa, H., Arshaad, W. M., S Kadir, S. A., Jaaman, S. A., Bali, J., Jamaludin N. A., & Katoh, M. (2016). Genetic Stock Compositions and Natal Origin of Green Turtle (Chelonia mydas) Foraging at Brunei Bay. Global Ecology and Conservation, 6: 16-24. LeRoux, R. A., Dutton, P. H., Abreu-Grobois, F. A., Lagueux, C. J., Campbell, C. L., Delcroix, E., Chevalier, J., Horrocks, J. A., Hillis-Starr, Z., Troëng, S., Harrison, E., & Stapleton, S. (2012). Re-examination of Population Structure and Phylogeography of Hawksbill Turtles in the Wider Caribbean Using Longer mtdna Sequences. J. Hered,103: 806-820. Limpus, C. J., Gyuris, E., Parmenter, C. J., Reimer, D., McLachlan, N., & Webb, R. (1992). Migrations of Green (Chelonia mydas) and Loggerhead (Caretta caretta) Turtles to and from Eastern Australian Rookeries. Wildl. Res., 19: 347-358. Miller, J. D. (1997). Reproduction in Sea Turtles. In: Lutz, P.L. and Musick, A.J. (eds.). Biology of Sea Turtles. CRC Marine Science Series. 432p. Moritz, C., Broderick, D., Dethmers, K., FitzSimmons, N., & Limpus, C. (2002). Population Genetics of Southeast Asian and Western Pacific Green Turtles, Chelonia mydas. Final Report to UNEP/CMS. Nishizawa, H., Joseph, J., & Chong, Y. K. (2016). Spatio-temporal Patterns of Mitochondrial

GENETIC STRUCTURE AND DIVERSITY OF GREEN TURTLES (Chelonia mydas) 47 DNA Variation in Hawksbill Turtle (Eretmochelys imbricata) in Southeast Asia. Journal of Experimental Marine Biology and Ecology, 474: 164-170. Nishizawa, H., Abe, O., Okuyama, J., Kobayashi, M., & Arai, N. (2011). Population Genetic Structure and Implications for Natal Philopatry of Nesting Green Turtles (Chelonia mydas) in the Yaeyama Islands, Japan. Endang. Species Res., 14: 141-148. Shamblin, B. M., Dodd, M. G., Bagley, D. A., Ehrhart, L. M., Tucker, A. D., Johnson, C., Carthy, R. R., Scarpino, R. A., McMichael, E., Addison, D. S., Williams, K. L., Frick, M. G., Ouellette, S., Meylan, A. B., Godfrey, M. H., Murphy, S. R., & Nairn, C. J. (2011). Genetic Structure of the Southeastern United States Loggerhead Turtle Nesting Aggregation: Evidence of Additional Structure within the Peninsular Florida Recovery Unit. Mar. Biol., 158: 571-587. Shamblin, B. M., Bolten, A. B., Bjorndal, K. A., Dutton, P. H., Nielsen, J. T., Abreu-Grobois, F. A., Reich, K. J., Witherington, B. E., Bagley, D. A., Ehrhart, L. M., Tucker, A. D., Addison, D. S., Arenas, A., Johnson, C., Carthy, R. R., Lamont, M. M., Dodd, M. G., Gaines, M. S., LaCasella, E., & Nairn, C. J. (2012). Expanded Mitochondrial Control Region Sequences Increase Resolution of Stock Structure among North Atlantic Loggerhead Turtle Rookeries. Mar. Ecol. Prog. Ser., 469: 145-160. Shamblin, B. M., Bolten, A. B., Abreu-Grobois, F. A., Bjorndal, K. A., Cardona, L., Carreras, C., Clusa, M., Monzón-Argüello, C., Nairn, C. J., Nielsen, J. T., Nel, R., Soares, L. S., Stewart, K. R., Vilaça, S. T., Türkozan, O., Yilmaz, C., & Dutton, P. H. (2014). Geographic Patterns of Genetic Variation in a Broadly Distributed Marine Vertebrate: New Insights into Loggerhead Turtle Stock Structure from Expanded Mitochondrial DNA Sequences. PloS One, 9: e85956. Tamura, K., Stecher, G., Peterson, D., Filipski, A., & Kumar, S. (2013). MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Mol. Biol. Evol., 30: 2725-2729.