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Holistic pelagic biodiversity monitoring of the Black Sea via eDNA metabarcoding approach: From bacteria to marine mammals.
Zhang, Yan; Pavlovska, Mariia; Stoica, Elena; Prekrasna, Ievgeniia; Yang, Jianghua; Slobodnik, Jaroslav; Zhang, Xiaowei; Dykyi, Evgen.
Afiliação
  • Zhang Y; State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
  • Pavlovska M; Ukrainian Scientific Center of Ecology of the Sea, 89 Frantsuzsky Blvd., 65009 Odesa, Ukraine; State Institution National Antarctic Scientific Center, Taras Shevchenko Blvd., 16, 01601 Kyiv, Ukraine.
  • Stoica E; National Institute for Marine Research and Development "Grigore Antipa", Blvd. Mamaia no. 300, RO-900581 Constanta 3, Romania.
  • Prekrasna I; Ukrainian Scientific Center of Ecology of the Sea, 89 Frantsuzsky Blvd., 65009 Odesa, Ukraine; State Institution National Antarctic Scientific Center, Taras Shevchenko Blvd., 16, 01601 Kyiv, Ukraine.
  • Yang J; State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
  • Slobodnik J; Environmental Institute, Okruzna 784/42, 97241 Kos, Slovak Republic.
  • Zhang X; State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China. Electronic address: zhangxw@nju.edu.cn.
  • Dykyi E; Ukrainian Scientific Center of Ecology of the Sea, 89 Frantsuzsky Blvd., 65009 Odesa, Ukraine; State Institution National Antarctic Scientific Center, Taras Shevchenko Blvd., 16, 01601 Kyiv, Ukraine.
Environ Int ; 135: 105307, 2020 02.
Article em En | MEDLINE | ID: mdl-31881429
ABSTRACT
As the largest semi-closed marine ecosystem in the world, the Black Sea has been heavily affected by human activities for a long time. Describing the biodiversity of multi-trophic biota in pelagic zone of the Black Sea and identifying the dominant environmental factors are prerequisites for protecting the sustainability of ecosystems. However, up to now, the taxonomic and distributional information about the Black Sea biota is not clear. Here, we employed a Tree-of-Life metabarcoding to analyze the biodiversity of eight communities in the Black Sea, investigated their biogeographical distribution, and further analyzed the influence of biological and abiotic factors on biota on large scales. We found that, (1) Over 8900 OTUs were detected in the Black Sea, of which 630 species were identified, covering the holistic biota from single-celled (bacteria 5620 OTUs 141 species; algae 1096 OTUs 185 species; protozoa 546 OTUs 146 species) to multicellular organisms (invertebrate metazoans 150 OTUs 34 species; fishes 1369 OTUs 76 species; large marine mammals 39 OTUs 5 species). (2) Higher trophic organisms (fishes and large mammals) distributed more evenly in space than the lower (microorganisms, protozoa and invertebrates). For lower trophic organisms, the vertical stratification was more obvious than the horizontal stratification (vertical p < 0.02, horizontal p < 0.05). (3) The bottom trophic organisms (bacteria and algae) of the food web significantly affected the distribution and composition of the others through biological interactions (Mantel p < 0.05). (4) At the level of abiotic factors, the effect of local species sorting on the composition of communities was 15% higher than that of mass dispersal effect. For the first time, this study monitored and profiled the holistic biodiversity in the pelagic zone of the Black Sea, and provided technological advances and preliminary knowledge for the ongoing Black Sea ecosystem protection efforts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Ecossistema / Biodiversidade / Código de Barras de DNA Taxonômico Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Environ Int Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Ecossistema / Biodiversidade / Código de Barras de DNA Taxonômico Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Environ Int Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China