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Romanova DY, Povernov AA, Nikitin MA, Borman SI, Frank YA, Moroz LL. Long-term dynamics of placozoan culture: emerging models for population and space biology. Front Cell Dev Biol 2025; 12:1514553. [PMID: 39845085 PMCID: PMC11751234 DOI: 10.3389/fcell.2024.1514553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Accepted: 12/11/2024] [Indexed: 01/24/2025] Open
Abstract
As the simplest free-living animal, Trichoplax adhaerens (Placozoa) is emerging as a powerful paradigm to decipher molecular and cellular bases of behavior, enabling integrative studies at all levels of biological organization in the context of metazoan evolution and parallel origins of neural organization. However, the progress in this direction also depends on the ability to maintain a long-term culture of placozoans. Here, we report the dynamic of Trichoplax cultures over 11 years of observations from a starting clonal line, including 7 years of culturing under antibiotic (ampicillin) treatment. This study revealed very complex population dynamics, with seasonal oscillation and at least partial correlations with the solar radio emission flux and the magnetic field disturbance parameters. Notable, the analysis of the distribution of Fe2+ in living animals revealed not only its high abundance across most cells but also asymmetric localizations of Fe2+ in unidentified cells, suggesting that these Fe2+ intracellular patterns might be coupled with the animal's bioenergetics. We hypothesize that placozoans might have magnetoreception, which can be experimentally tested in future studies. In sum, Trichoplax, in particular, and Placozoa, in general, can be viewed as prospective reference species in traditional evolutionary and system biology but have the yet unexplored potential for planetary ecology and space biomedicine.
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Affiliation(s)
- Daria Y. Romanova
- Lab of Cellular Neurobiology of Learning, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia
| | - Alexander A. Povernov
- Lab of Cellular Neurobiology of Learning, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia
| | - Mikhail A. Nikitin
- Lab of Cellular Neurobiology of Learning, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia
| | - Simkha I. Borman
- Koltzov Institute of Developmental Biology of Russian Academy of Sciences, Moscow, Russia
| | - Yana A. Frank
- Lab of Cellular Neurobiology of Learning, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia
| | - Leonid L. Moroz
- Departments of Neuroscience and McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Whitney Laboratory for Marine Bioscience, University of Florida, Gainesville, FL, United States
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Uncertainty and Sensitivity Analysis of Input Conditions in a Large Shallow Lake Based on the Latin Hypercube Sampling and Morris Methods. WATER 2021. [DOI: 10.3390/w13131861] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We selected Tai Lake in China as the research area, and based on the Eco-lab model, we parameterized seven main external input conditions: discharge, carbon, nitrogen, phosphorus, wind speed, elevation, and temperature. We combined the LHS uncertainty analysis method and the Morris sensitivity analysis method to study the relationship between water quality and input conditions. The results showed that (1) the external input conditions had an uncertain impact on water quality. Among them, the uncertainties in total nitrogen concentration (TN) and total phosphorus concentration (TP) were mainly reflected in the lake entrance area, and the uncertainties of chlorophyll-a (Chl-a) and dissolved oxygen (DO) were mainly reflected in the lake center area. (2) The external input conditions had different sensitivities to different water layers. The bottom layer was most clearly and stably affected by input conditions. The TN and TP of the three different water layers were closely related to the flux into the lake, with average sensitivities of 83% and 78%, respectively. DO was mainly related to temperature and water elevation, with the bottom layer affected by temperatures as high as 98%. Chl-a was affected by all input factors except nitrogen and was most affected by wind speed, with an average of about 34%. Therefore, the accuracy of external input conditions can be effectively improved according to specific goals, reducing the uncertainty impact of the external input conditions of the model, and the model can provide a scientific reference for the determination of the mid- to long-term governance plan for Tai Lake in the future.
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Peng K, Qin B, Cai Y, Gong Z, Jeppesen E. Water column nutrient concentrations are related to excretion by benthic invertebrates in Lake Taihu, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 261:114161. [PMID: 32097794 DOI: 10.1016/j.envpol.2020.114161] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 02/03/2020] [Accepted: 02/09/2020] [Indexed: 06/10/2023]
Abstract
Internal release of nutrients is an important contributor to the nutrient dynamics in shallow eutrophic lakes. Zoobenthic organisms may contribute to this release by excreting nutrients to the overlaying water. Based on experiments and using results from previous experimental studies as well as field monitoring density data from 2007 to 2017, we calculated the annual and seasonal nutrient excretions of the two most common macroinvertebrates (Corbicula fluminea and Limnodrilus hoffmeisteri) in Lake Taihu, China. We compared these rates with the concentrations of NH4-N, total nitrogen (TN), PO4-P and total phosphorus (TP) in the lake water as well as with previous results of release rates from undisturbed sediments collected in the lake. The spatial distribution of nutrient excretion by the two invertebrate species varied markedly among sites and years. Regression analyses revealed significant relationships between total nutrient excretions by these two species and the concentrations of NH4-N, TN, PO4-P and TP in the lake, but with seasonal differences. The relationship was overall strongest in winter, followed by spring, and weakest in summer and autumn. The flux of NH4-N and PO4-P released by the two macroinvertebrate species were equivalent to as much as 50% and 66%, respectively, of the sediment release recorded in lab experiments under undisturbed conditions; however, the percentages would be somewhat lower under field conditions where the sediment is subjected to frequent wind-induced resuspension and fish disturbance, enhancing the release rates. The release declined during the study period due to a reduction in the density of macroinvertebrates, perhaps indicating increasing stocking of fish since 2007. Our results indicate that benthic invertebrates are important contributor to the internal loading in shallow eutrophic lakes.
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Affiliation(s)
- Kai Peng
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; Department of Bioscience, Aarhus University, Vejlsøvej 25, 8600, Silkeborg, Denmark; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Boqiang Qin
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yongjiu Cai
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Zhijun Gong
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Erik Jeppesen
- Department of Bioscience, Aarhus University, Vejlsøvej 25, 8600, Silkeborg, Denmark; Sino-Danish Centre for Education and Research (SDC), University of Chinese Academy of Sciences, 100049, Beijing, China; Limnology Laboratory and EKOSAM, Department of Biological Sciences, Middle East Technical University, Ankara, 06800, Turkey
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Anneville O, Chang C, Dur G, Souissi S, Rimet F, Hsieh C. The paradox of re‐oligotrophication: the role of bottom–up versus top–down controls on the phytoplankton community. OIKOS 2019. [DOI: 10.1111/oik.06399] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Orlane Anneville
- INRA, UMR CARRTEL,75 bis avenue de Corzent FR‐74200 Thonon les Bains France
| | - Chun‐Wei Chang
- Research Center for Environmental Changes, Academia Sinica Taipei Taiwan
| | - Gaël Dur
- INRA, UMR CARRTEL France
- Creative Science Unit (Geosciences), Faculty of Science, Shizuoka Univ Japan
| | - Sami Souissi
- Univ. de Lille, CNRS, Université du Littoral Côte d'Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences France
| | | | - Chih‐hao Hsieh
- Research Center for Environmental Changes, Academia Sinica Taipei Taiwan
- Inst. of Oceanography, National Taiwan Univ Taipei Taiwan
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