Identifying functional species pool of planktonic protozoa for discriminating water quality status in marine ecosystems |
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| Institution: | 1. Consiglio Nazionale delle Ricerche, Istituto di Scienze dell’Alimentazione- via Roma 64, 83100 Avellino, Italy;2. Seconda Università degli Studi di Napoli, Dipartimento di Medicina Sperimentale- Sezione di Igiene, Medicina del Lavoro e Medicina Legale, Via Santa Maria di Costantinopoli, 16- 80138 Napoli, Campania, Italy;3. Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale – DICMAPI, Università degli Studi di Napoli Federico II, Italy;4. Fondazione Università “G. D''Annunzio”- Center of Ageing Science, Unit of Allergy and Immunotoxicology, via dei Vestini, 31- 66100 Chieti, Abruzzo, Italy;1. Division of Bacteriology, National Institute of Cholera & Enteric Diseases (Indian Council of Medical Research), P-33, Scheme-XM, CIT Road, Beliaghata, Kolkata 700 010, India;2. Centre for Tropical Marine Ecology, Fahrenheitstr. 6, 28359 Bremen, Germany;3. Argentine Institute of Oceanography, Florida 4700, 8000 Bahía Blanca, Argentina;1. School of Marine Science and Technology, Tianjin University, Tianjin 300072, China;2. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;3. College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China;1. Department of Entomology, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA;2. Monsanto Company, Chesterfield, MO 63017, USA;1. National Energy Technology Laboratory, 3610 Collins Ferry Road, P.O. Box 880, Morgantown, WV 26507, USA;2. AECOM, 626 Cochrans Mill Road, P.O. Box 10940, Pittsburgh, PA 15236, USA;3. West Virginia University, Civil and Environmental Engineering, P.O. Box 6009, Morgantown, WV 26506, USA |
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| Abstract: | It is cost-effective protocol to identify a functional species pool for marine bioassessment by removing redundant species from a raw dataset. The feasibility of functional species pool for discriminating water quality status was studied based on a dataset of 120 samples of ciliated protozoa. From the full 60-species dataset of the whole ciliate communities, a 35-species subset was identified as a functional species pool, the species number, abundance and biodiversity indices of which were significantly correlated with those of the full species dataset. The spatial pattern of the subset was significantly related to the changes in nutrients soluble reactive phosphates (SRP), nitrate/nitrite nitrogen (NO3-N/NO2-N) and ammonium nitrogen (NH4-N). Four indices of the taxonomic diversity (Δ), taxonomic distinctness (Δ*), average in taxonomic distinctness (Δ+) and the variation in taxonomic distinctness (Λ+) based on this small species pool were significantly correlated with the changes of nutrients NO3-N and/or (NH4-N). The paired indices Δ+ and Λ+ showed a clear decreasing trend of departure from the expected taxonomic pattern. These findings suggest that the 35-species functional species subset may be used as a feasible functional surrogate of ciliated protozoan assemblages for community-based bioassessment in marine ecosystems. |
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| Keywords: | Functional species Protozoa Bioassessment Environmental stress Marine ecosystems |
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