Comparison of the rookery connectivity and migratory connectivity: insight into movement and colonization of the green turtle (Chelonia mydas) in Pacific–Southeast Asia

Nishizawa, Hideaki; Joseph, Juanita; Chong, Yee Kuen; Kadir, Syed Abdullah Syed Abdul; Isnain, Irwan; Ganyai, Tonny; Jaaman, Saifullah Arifin; Zhang, Xuelei

doi:10.1007/s00227-018-3328-9

Cited by 12 publications

(33 citation statements)

References 55 publications

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“…Research on migratory connectivity has commonly focused on avian species (Bridge et al 2011, Hobson et al 2014, Ruegg et al 2014, Rushing et al 2014, Thorup et al 2014, Taylor et al 2017) but is equally relevant for migratory species of any taxonomic group (Sullivan et al 2012, Morrison and Bolger 2014, Quillfeldt et al 2015, Vander Zanden et al 2015, Acevedo et al 2017, Nishizawa et al 2018). Research on migratory connectivity has commonly focused on avian species (Bridge et al 2011, Hobson et al 2014, Ruegg et al 2014, Rushing et al 2014, Thorup et al 2014, Taylor et al 2017) but is equally relevant for migratory species of any taxonomic group (Sullivan et al 2012, Morrison and Bolger 2014, Quillfeldt et al 2015, Vander Zanden et al 2015, Acevedo et al 2017, Nishizawa et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Technology to study the movements of migratory animals throughout the year is improving our understanding of migratory connectivity, though year-round patterns remain poorly understood for most species. Research on migratory connectivity has commonly focused on avian species (Bridge et al 2011, Hobson et al 2014, Ruegg et al 2014, Rushing et al 2014, Thorup et al 2014, Taylor et al 2017 but is equally relevant for migratory species of any taxonomic group (Sullivan et al 2012, Morrison and Bolger 2014, Quillfeldt et al 2015, Vander Zanden et al 2015, Acevedo et al 2017, Nishizawa et al 2018). Among the well-studied Nearctic-Neotropical songbirds, most species have strong breeding-wintering migratory connectivity: western breeding populations winter further west in Central America while eastern breeding populations winter further east in Mexico and the Caribbean (i.e.…”

Section: Introductionmentioning

confidence: 99%

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The strength of migratory connectivity for birds en route to breeding through the Gulf of Mexico

et al. 2018

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The strength of migratory connectivity is a measure of the cohesion of populations among phases of the annual cycle, including breeding, migration, and wintering. Many Nearctic-Neotropical species have strong migratory connectivity between breeding and wintering phases of the annual cycle. It is less clear if this strength persists during migration when multiple endogenous and exogenous factors may decrease the cohesion of populations among routes or through time along the same routes. We sampled three bird species, American redstart Setophaga ruticilla, ovenbird Seiurus aurocapilla, and wood thrush Hylocichla mustelina, during spring migration through the Gulf of Mexico region to test if breeding populations differentiate spatially among migration routes or temporally along the same migration routes and the extent to which withinpopulation timing is a function of sex, age, and carry-over from winter habitat, as measured by stable carbon isotope values in claws (δ 13 C). To make quantitative comparisons of migratory connectivity possible, we developed and used new methodology to estimate the strength of migratory connectivity (MC) from probabilistic origin assignments identified using stable hydrogen isotopes in feathers (δ 2 H). We found support for spatial differentiation among routes by American redstarts and ovenbirds and temporal differentiation along routes by American redstarts. After controlling for breeding origin, the timing of American redstart migration differed among ages and sexes and ovenbird migration timing was influenced by carry-over from winter habitat. The strength of migratory connectivity did not differ among the three species, with each showing weak breeding-to-spring migration MC relative to prior assessments of breeding-wintering connectivity. Our work begins to fill an essential gap in methodology and understanding of the extent to which populations remain together during migration, information critical for a full annual cycle perspective on the population dynamics and conservation of migratory animals.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The strength of migratory connectivity for birds en route to breeding through the Gulf of Mexico

et al. 2018

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“…Regarding the nesting population samples included from outside of Japan, 22 were from foraging turtles that were probably born in Southeast Asia (SE Asia) (n = 4), Taiwan (n = 3), the FSM/RMI (n = 10), or the Central/Eastern Pacific (C/E Pacific) (n = 5). The natal origins of these 22 turtles were identified from regionally unique mtDNA haplotypes according to previous studies (Dutton et al, 2014a,b;Nishizawa et al, 2014Nishizawa et al, , 2018Jensen et al, 2016b;Joseph et al, 2016). These turtles were captured in set nets around the Yaeyama or Okinawa Islands, or on the Sanriku coast (Figure 1).…”

Section: Samples For Nesting Population Structurementioning

confidence: 99%

“…As some widespread haplotypes are detected from multiple geographically remote nesting populations, there is a limitation in the accuracy of MSA (reviewed in Jensen et al, 2013 andKomoroske et al, 2017). This is an especially serious problem in estimation of the origins of foraging green turtles in Japanese waters, not only because either widespread haplotypes of CmP20.1 and CmP49.1 have been detected in almost all areas of the population in the Western Pacific (Dutton et al, 2014b;Jensen et al, 2016a;Nishizawa et al, 2018), but also because several common haplotypes were shared within the Japanese nesting populations. Our genome-wide population analysis demonstrated that the distinctiveness of the Ogasawara population from other Western Pacific populations was highly practical for narrowing down the natal origins of foraging turtles with widespread or common Japanese haplotypes.…”

Section: Identification Of Natal Originmentioning

confidence: 99%

Natal Origin Identification of Green Turtles in the North Pacific by Genome-Wide Population Analysis With Limited DNA Samples

et al. 2020

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Although studies using genome-wide single nucleotide polymorphisms (SNPs) are growing in non-model species, it is still difficult to prepare sufficient high-quality genomic DNA (gDNA) for population genomic analyses in many wild species. In this study, we first analyzed the population structure of green turtles in the North Pacific; four regions in Japan (the Yaeyama, Okinawa, Amami, and Ogasawara Islands), the Southeast Asia, Taiwan, the Federated States of Micronesia, the Republic Marshall Islands, and the Central or Eastern Pacific (C/E Pacific) using 1 ng of gDNA from green turtle field samples-including ones from dead carcasses-and multiplexed inter-simple sequence repeat (ISSR) genotyping by sequencing (MIG-seq). In addition, we explored whether the genome-wide SNP data narrowed down the natal origins of foraging turtles that were difficult to identify by mitochondrial DNA (mtDNA) haplotype alone. The overall nesting population structure observed from genome-wide SNPs was consistent with results from mtDNA, and the population isolation of the C/E Pacific and Ogasawara Islands from the other North Pacific populations was highlighted. However, the population boundaries among the Northwestern Pacific, other than those of the Ogasawaras, were not clear. The uniqueness of the Ogasawara population in genome-wide SNP data enabled the identification of turtles that were more likely to have been born on the Ogasawara Islands. Our results show that genome-wide SNP data are more practical in identifying the natal origins of turtles that were difficult determine by the conventional mtDNA-basis mixed stock analysis. This study also showed that MIG-seq can be expected to meet the potential demand to utilize many preserved or fragmented gDNA samples for population genomics in many marine megafaunas for which sample collections are difficult.

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“…Foraging ground is where sea turtles reside during the nonbreeding season and migration as the movement between foraging areas (if more than one foraging area is used), or between foraging area and nesting area (Ceriani et al 2012). Recent works have reported that each foraging ground seems to support multiple breeding populations (Dethmers et al 2010;Nishizawa et al 2018). Thus, habitat destruction at foraging ground may have an adverse effect on remote rookeries.…”

Section: Introductionmentioning

confidence: 99%

Forensic genetic case study: Species identification and traceability of sea turtle caught in illegal trade in Bali, Indonesia

Pertiwi¹,

Suhendro²,

Yusmalinda³

et al. 2020

Biodiversitas

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Abstract. Pertiwi NPD, Suhendro MD, Yusmalinda NLA, Putra ING, Putri IGRM, Artinigsih EY, Al Malik MD, Cahyani NKD, Sembiring A. 2020. Forensic genetic case study: Species identification and traceability of sea turtle caught in illegal trade in Bali, Indonesia. Biodiversitas 21: 4276-4283. Although known as protected endangered species, sea turtle trade is still occurring, especially in Indonesia. Understanding the species and population origin of sea turtle being sold in the illegal market is crucial for its conservation, where it will reveal the traceability of sea turtle trade to its population origin in the management unit areas. Thus, genetic forensic has been used as a key investigating tool to help with this problem. In this research, we aim to identify the species and population origin of the sea turtle caught and traded in the illegal market in Bali. Of the 20 samples collected from confiscated sea turtle during illegal trade, by-catch, and a traditional restaurant serving sea turtle meat, 17 samples were successfully analyzed and identified using PCR (polymerase chain reaction) methods. The result identified 15 samples as a green sea turtle (Chelonia mydas), while two samples were olive ridley sea turtle (Lepidochelys olivacea). Mixed Stock Analysis (MSA) with Bayesian indicated that the green sea turtle caught in illegal trade in Bali is originated mostly from the rookeries populations in Berau (29.98%), Terengganu (17.84%), Sarawak (14.84%), and Ashmore Reef (11.85%). Meanwhile, 18 other locations only showed the MSA value below 2%, including the locations of Penang and Perak, Vietnam, Perhentian, Redang, Pahang, Mersing, Sabah Turtle Island Park (TIP), Sipadan, Coral Sea, western New Caledonia, Commonwealth of the Northern Mariana Island and Guam, northern New Guinea, Gulf of Carpenteria, Scott Reef, West Java, North West Self, Cobourg Peninsula, Cocos Keeling Island. Therefore, the exploitation of sea turtle in Bali will impact the decline in the genetic diversity of sea turtles population Indonesia and adjacent locations. Monitoring and protection of sea turtle species in Bali have to be a high priority because Bali is known as the hub for sea turtle illegal trade, and the exploitation of sea turtle in Bali will have an impact on the sea turtle population in other locations.

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Comparison of the rookery connectivity and migratory connectivity: insight into movement and colonization of the green turtle (Chelonia mydas) in Pacific–Southeast Asia

Cited by 12 publications

References 55 publications

The strength of migratory connectivity for birds en route to breeding through the Gulf of Mexico

The strength of migratory connectivity for birds en route to breeding through the Gulf of Mexico

Natal Origin Identification of Green Turtles in the North Pacific by Genome-Wide Population Analysis With Limited DNA Samples

Forensic genetic case study: Species identification and traceability of sea turtle caught in illegal trade in Bali, Indonesia

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