CARLON- YEAR 9 HCRI Project Progress Report #2 I. Project Title: Of Urchins and parrotfish – sources and sinks of keystone herbivores Principle Investigator: David B. Carlon, Project Staff: Joanna Bince (Technician), John Fitzpatrick (Graduate Student) Organization: Department of Zoology, University of Hawaii Grant Number: NOA06NOS4260200 Date: November 30, 2007 II. Executive Summary The astounding biological diversity on coral reefs support thriving fishing and tourist economies, yet in the last 20 years it has become increasingly clear that the structure, diversity, and function of coral reef ecosystems is strongly influenced by the effects of fish and invertebrate consumers on tropical seaweeds (macroalgae). In the absence of herbivorous fish and invertebrate grazers, tropical coral reefs can undergo “phase shifts” in community structure from coral dominated to macroalgae dominated systems. In the main Hawaiian Islands, alien species of macroalgae are dominating many reefs once characterized by high coral, and low algal abundance. Comparisons between the Northwest and Main Hawaiian Islands strongly suggest that historical and present levels of fishing have reduced the herbivore community on the densely populated Main Islands to the point where top-down control of macroalgae is lacking. It follows, that management of reefs to maximize biodiversity and function should concentrate on maintaining healthy stocks of keystone grazers. To design Marine Protected Areas (MPAs) and implement new fishing policies, the state of Hawaii needs information on the movement of larvae of keystone species within and between islands. Our approach is to use high resolution genetic data to understand whether islands or populations are isolated or connected. This year, we also propose to test the idea that deep water (>20 m) softsediment habitats provide a refuge for urchin recruits. Our 2006-07 proposal has three objectives: 1. To describe the population structure of two keystone species: the collector urchin Tripneustes gratilla and the ember parrotfish Scarus rubroviolaceus within and among the main Hawaiian Islands. 2. To determine if deep-water, soft-sediment habitats act as nurseries for Tripneustes gratilla on coral reefs. 3. To integrate data on population structure and nursery areas to design MPAs for keystone reef organisms. This 2006-07 proposal builds on, and is a significant extension of research funded in 2005-06. First, we are using our preliminary genetic data to guide choice of additional sampling sites on Hawaii and Kauai, and to resolve fine-scale structure that will be useful to DAR in designing and implementing management strategy. Second, we are adding a second, charismatic reef fish (Scarus rubroviolaceous) with a similar free-spawning life history that provides an independent test of patterns and general hypotheses of the oceanographic features controlling population structure. Third, we are investigating the 1 intriguing hypothesis that recruitment of the keystone urchins is occurring in deep-water, soft sediment habitat with secondary migration to shallow-reef habitat. If true, this pattern has important implications for the inclusion of these habitats into management strategy that aims to promote diversity and function on coral reefs. III. Purpose A. Detailed description of the resource management problem(s) to be addressed. “In order to design ecologically effective marine protected areas, basic information on important species is critical. At present, the basic knowledge of reef organisms' population structure is inadequate to design a management regime to improve the sustainability of species of concern, such as: Gracilaria parvispora, Gracilaria coronopifolia, Grateloupia filicina, Ahnfeltiopsis concinna, Laurencia nidifica, edible sea cucumber, Achilles tang, spiny lobster, parrotfish, weke, octopus, Tripnuestes gratilla, Echinothrix calamaris, Echinometra mathaei, Echinostrephus acciculatus, cowries and other commonly collected limu and mollusk species.” “The Management Committee is seeking proposals for projects that will: identify specific problems; propose recommendations for design of management options to ensure their sustainability; provide tools for measuring the effectiveness of recommended management options for species of concern; and produce objective criteria for determining, assessing, and comparing sites for possible management action for species of concern…” This proposal will produce objective criteria based on genetic estimates of migration within and among islands and the ecological function of soft-sediment habitats as nursery areas for keystone species. Sites can be evaluated in terms of their local (sinks) or regional (sources) contributions of larval recruits, as well as whether they harbor unique genetic diversity that may prevent population reduction and local extinction in the face of environmental change. B. Detailed description of the question(s) asked to answer the resource management problem(s) 1. What localities/habitats represent either sources or sinks for parrotfish and urchin larvae? 2. Are recruitment rates are higher in deep-water soft-sediment habitats compared to shallow soft sediment and reef habitats? 3. Do juveniles migrate from deep soft-sediment habitat to shallow reef areas? C. Objectives to answer each question. 1. To describe the population structure of two keystone species: the collector urchin Tripneustes gratilla and the ember parrotfish Scarus rubroviolaceus within and among the main Hawaiian Islands. 2. To determine if deep-water, soft-sediment habitats act as nurseries for Tripneustes gratilla on coral reefs. 2 3. To integrate data on population structure and nursery areas to design MPAs for keystone reef organisms. IV. Approach Detailed description of the work performed for each objective from III(C), including (but not limited to): A. list individuals and organizations actually performing the work David B. Carlon (PI), University of Hawaii at Manoa Joanna Bince (Technician), University of Hawaii John Fitzpatrick (Graduate Student), University of Hawaii at Manoa B. material list (See D and E) C. construction instructions for anything used to accomplish the III(C) objectives (NA) D. deployment steps Question 1. What localities/habitats represent either sources or sinks for parrotfish and urchin larvae? We have collected Scarus rubroviolaceus tissue samples from the following islands and sites. Table 1. Collection islands and localities for individual tissue samples of ember parrotfish Scarus rubrioviolaceus Hawaiian island Locality n Partners Oahu North Shore, Haleiwa 23 George Matsuda, Alii Holo Kai dive club North Shore, Waiale'e 27 George Matsuda, Alii Holo Kai dive club Maui Pacific Fish Market and Oki’s Seafood Corner 24 Skippy Hau, DLNR Big Island, Hawaii Ho’okena 6 Fitzpatrick, noninvasive night diving Big Island, Hawaii Hilo 14 Tanya Bearn Since we are not detecting evidence for genetic structure in urchins or parrotfish within the main Hawaiian Islands, nor with comparisons between the more distant Northwest Hawaiian Islands and Johnston Atoll, we have collaboratively obtained additional tissue samples of both species from populations that occur throughout the 3 biogegeographic ranges. Collaborative institutions include the Hawaiian Institute of Marine Biology, Smithsonian Tropical Research Institute, Panama; James Cook University, Australia; and the Tokyo Institute of Technology. We are sequencing and genotyping these samples to determine the spatial scale at which gene flow declines. data collection procedures Question 1. What localities/habitats represent either sources or sinks for parrotfish and urchin larvae? Genotyping and analyses of population structure From each genetic sample from tube feet (urchins) or fin clips (fish), genomic DNA was extracted with QIAGEN DNeasy tissue kits. DNA was quantified on a Nanodrop spectrophotometer and diluted to 10-20 ng µl-1. We used the Polymerase Chain Reaction (PCR) to amplify a portion of the mitochondrial gene cytochrome oxidase I (COI) using primers designed specifically for Tripneustes. The PCR recipe for a 25 µl reaction was as follows: 1.0 µl (10-20 ng µl-1) of DNA, 18 µl H20, 1 µl MgCl2 (25 mM), 1.0 µl dNTP mix (8 mM), forward primer 0.3 µl (10 μm), reverse primer 0.3 µl (10 μm), 1 µl Taq Biolase DNA Polymerase. PCR was conducted in a TC-200 MJ Peltier thermocycler (MJ Research). The PCR temperature profile consisted of denaturation at 94°C for 10 min, then 35 cycles at 94°C for 30 s, 56 for 40 s, 72°C for 1 min. We used a final elongation at 72°C for 10 min. PCR Products were directly sequenced after first incubating with the ExoSAPit Kit (USB Corporation). We used the ASGPB Sequencing Facility (Snyder Hall, University of Hawaii at Manoa) for all sequencing and genotyping related to this project. This facility uses Applied Biosystems XL 3730 Capillary Sequencers, and BigDye sequencing chemistry. Microsatellite genotyping Loci were divided into sets for muliplex PCR. Polymerase chain reactions (PCR) were carried out in a 11-µl reactions containing: 1 µl (25-50 ng) of total genomic DNA, 16 mM (NH4)2SO4; 67 mM Tris-HCl (pH 8.8 at 25°C), 0.01% Tween-20, 2.0 mM MgCl2, 0.08 mM of each dNTPs, 0.18 mM of each primer, and 0.5 U of Taq Biolase DNA Polymerase (Bioline USA, Randolph, Massachusetts). Amplifications were performed with a PTC-200 MJ Peltier thermocycler (MJ Research), and PCR temperature profile consisted of denaturation at 94°C for 10 min, then 35 cycles at 94°C for 30 s, Ta°C (depending on locus) for 40 s and 72°C for 1 min, followed by a final elongation at 72°C for 10 min. Primers for eleven polymorphic microsatellite loci were fluorescently labeled, the products genotyped on an ABI 3730 XL sequencer, and scored with GeneMapper software (Applied Biosystems Inc.). We extract DNA using Qiagen DnEasy columns, then use PCR and fluorescently labeled primers to amplify microsatellite products that are scored on ABI 3730XL capillary sequencers housed in The Center for Genomics, Proteomics, and Bioinformatics “CGPBRI”(http://cgpbr.hawaii.edu/) located in Snyder Hall. We use multiplex PCR reactions involving 3-4 primer sets, and optimize scoring of 5-7 loci on a single capillary lane. Motifs are identified with ABI’s GENEMAPPER software, and alleles are sized with ALLELOGRAM. 4 E. data analysis techniques Question 1. What localities/habitats represent either sources or sinks for parrotfish and urchin larvae? The first step is to determine the scale of genetic structure which indicates the scale at which dispersal declines. A standardized measure of genetic structure, FST is calculated between localities, islands, and biogeographic regions. We use the software packages ARLEQUIN (Schneider et al. 2000) for mitochondrial sequence data (mtDNA) and MSA Anaylzer (Dieringer and Schlotterer 2003) for microsatellite genotype data. Second, we use a variety of Bayesian statistical tools (Beaumont and Rannala 2004) to analyze population structure in more complex and realistic models that do not require equilibrium assumptions. These algorithms use likelihood functions to find the optimal model of K populations. For example, we can estimate the total number of populations in the sample by using the model STRUCTURE (Pritchard et al. 2000). Samples are input into the model with no apriori information on geographic location, and the algorithm assembles populations based on the best fit without violating Hardy-Weinberg expectations. photos from research during each stage (construction, in situ, lab) F. contact information for companies used to purchase items unique to your project (if applicable) G. Modification of project scope with regards to Questions 2 and 3. 2. Are recruitment rates are higher in deep-water soft-sediment habitats compared to shallow soft sediment and reef habitats? 3. Do juveniles migrate from deep soft-sediment habitat to shallow reef areas? Our natural history observations of recruitment of juvenile Tripneustes gratilla reveal that recruitment is extremely episodic in time and space in the Hawaiian Islands. We find that small juveniles start emerging onto exposed benthic surfaces in the late summer and fall, but exactly where they do this within islands does is not predictable on Oahu and Maui among years. This biological reality makes answering questions 2 and 3 in the time-frame of a 1-year funding cycle impractical and unlikely to produce answers to these important questions. For the remainder of this year we will focus on completing the genetic data analyses of all urchin and fish samples, to get a more complete picture of connectivity between Hawaii and her neighboring territories and countries in the Pacific. V. Results A. Findings for each III(C) objective. Objective 1- To describe the population structure of two keystone species: the collector urchin Tripneustes gratilla and the ember parrotfish Scarus rubroviolaceus within and among the main Hawaiian Islands. Urchins (Tripneustes gratilla)- We have completed all mtDNA sequencing and microsatellite genotyping for over 400 samples of T. gratilla from the main Hawaiian 5 Islands (MHIs), Kure Atoll, and Johnston Atoll. Both FST analysis and population modeling indicate no genetic structure at these spatial scales. Our interpretation is that planktonic urchin larvae are regularly dispersing among the MHIs; and among the MHIs and the Northwest Islands and Johnston Atoll. Parrotfish (Scarus rubrioviolaceus)- We have completed mtDNA sequencing and genotyping off all S. rubrioviolaceus samples among the MHIs listed in Table 1 (Section IV.D above). Both FST analysis and population modeling indicate no genetic structure at these spatial scales. Our interpretation is that planktonic parrotfish larvae are regularly dispersing among the MHIs. B. Answers to III(B) each resource management question(s). B.1.What localities/habitats represent either sources or sinks for parrotfish and urchin larvae? Our data indicate dispersal capabilities by of urchin and parrotfish are broad. There are strong larval connections between all Main Hawaiian Islands (MHIs), as well as between the MHIs and the Northwest Hawaiian Islands and Johnston Atoll. These results emphasize a need to manage reef systems within the state of Hawaii as a collective network, anticipating that local management strategies can have effects on distant reef systems. C. Site specific results for each location (Can place in an appendix as electronic file). VI. Resource Management Implications (NA for Progress Reports) VII. Evaluation (NA for Progress Reports) VIII. Dissemination of Project results A. Explain, in detail, how the projects results have been, and will be, disseminated. We have presented two oral papers (titles below) this Fall from HCRI sponsored research at the annual Western Society of Naturalist Meeting in Ventura, CA. We are working on 2 publications from HCRI sponsored research. The first describes population structure in Hawaii and elsewhere of the urchin Tripneustes gratilla, the second describes population structure of the parrotfish Scarus rubroviolaceus. B. List of publications, workshops, and presentations Fitzpatrick, J., Lippé, C., and D. B. Carlon. How many populations? The genetic structure of the ember parrotfish (Scarus rubrioviolaceus) throughout the Indian and Pacific oceans. Oral presentation at the Western Society of Naturalists, Ventura, CA. Carlon, D. B. and C. Lippé. How many populations too? The genetic structure of the urchin Tripneustes gratilla from Panama to the Red Sea. Oral presentation at the Western Society of Naturalists, Ventura, CA. C. Data or information products 6 D. Partnerships established with agencies or organizations DLNR Cooperative Fisheries Unit, University of Hawaii Alii Holo Kai dive club References Beaumont, M. A., and B. Rannala. 2004. The Bayesian revolution in genetics. Nature Reviews Genetics 5:251-261. Dieringer, D., and C. Schlotterer. 2003. MICROSATELLITE ANALYSER (MSA): a platform independent analysis tool for large microsatellite data sets. Molecular Ecology Notes 3:167-169. Pritchard, J. K., M. Stephens, and P. Donnelly. 2000. Inference of population structure using multilocus genotype data. Genetics 155:945-959. Schneider, S., J. D. Roessli, and L. Excoffier. 2000. Arlequin: a computer program for population genetics data analysis. 7