Eutrophication increases the similarity of cyanobacterial community features in lakes and reservoirs

Water Research, Год журнала: 2023, Номер 250, С. 120977 - 120977

Опубликована: Дек. 6, 2023

Язык: Английский

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The assembly mechanisms of algal community across different habitats mediated by sediment in the heavily sediment-laden Yellow River

Journal of Hydrology, Год журнала: 2024, Номер 631, С. 130825 - 130825

Опубликована: Фев. 3, 2024

Язык: Английский

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Trophic level plays an enhanced role in shaping microbiota structure and assembly in lakes with decreased salinity on the Qinghai-Tibet and Inner Mongolia Plateaus

The Science of The Total Environment, Год журнала: 2024, Номер 923, С. 171316 - 171316

Опубликована: Фев. 28, 2024

Язык: Английский

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Characterization of lacustrine harmful algal blooms using multiple biomarkers: Historical processes, driving synergy, and ecological shifts

Water Research, Год журнала: 2023, Номер 235, С. 119916 - 119916

Опубликована: Март 25, 2023

Язык: Английский

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Geographic characteristics and environmental variables determine the diversities and assembly of the algal communities in interconnected river-lake system

Water Research, Год журнала: 2023, Номер 233, С. 119792 - 119792

Опубликована: Март 1, 2023

Язык: Английский

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Deep tillage enhances the spatial homogenization of bacterial communities by reducing deep soil compaction

Soil and Tillage Research, Год журнала: 2024, Номер 239, С. 106062 - 106062

Опубликована: Фев. 28, 2024

Язык: Английский

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Investigating the effects of anthropogenic stressors on lake biota using sedimentary DNA

Freshwater Biology, Год журнала: 2022, Номер 68(11), С. 1799 - 1817

Опубликована: Дек. 5, 2022

Abstract Analyses of sedimentary DNA ( sed DNA) have increased exponentially over the last decade and hold great potential to study effects anthropogenic stressors on lake biota time. Herein, we synthesise literature that has applied a approach track historical changes in biodiversity response impacts, with an emphasis past c. 200 years. We identified following research themes are particular relevance: (1) eutrophication climate change as key drivers limnetic communities; (2) increasing homogenisation communities across large spatial scales; (3) dynamics invasive species traced sediment archives. Altogether, this review highlights draw more comprehensive picture stressors, opening up new avenues field paleoecology by unrevealing hidden biodiversity, building paleo‐indicators, reflecting either taxonomic or functional attributes. Broadly, analyses provide perspectives can inform ecosystem management, conservation, restoration offering measure ecological integrity vulnerability, well functioning.

Язык: Английский

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Differentiation strategies for planktonic bacteria and eukaryotes in response to aggravated algal blooms in urban lakes

iMeta, Год журнала: 2023, Номер 2(1)

Опубликована: Янв. 31, 2023

Aggravated algal blooms potentially decreased environmental heterogeneity. Different strategies of planktonic bacteria and eukaryotes in response to aggravated blooms. Environmental constraints plankton showed different patterns over time. Protecting ecological health waterbodies for drinking, agricultural, industrial utilization caters one the current global sustainable development goals (SDG, https://sdgs.un.org/goals) [1]. Many measures (e.g., dredging) have been taken promise good waterbody quality by depleting nutrients phosphorus nitrogen) availability [2–4]. However, blooms, especially harmful cyanobacterial caused mainly eutrophication, occur seasonally periodically inland coastal aquatic ecosystems despite strict control external nutrient loading [5, 6]. Previous studies reported that example, Microcystis threaten diversity releasing secondary metabolites toxins) consuming oxygen 7]. Therefore, it is great importance disentangle how respond factors controlling water trophic state. Typically, key parameters chlorophyll-α [Chl-α] plus total phosphorus, nitrogen, and/or chemical demand) are used reflect predict level [8]. Nutritional nitrogen phosphorus) nonnutritional temperature turbidity) influence Chl-α content [9, 10]. For reducing can mitigate density a hyper-eutrophic lake [9]. Microorganisms mediate transformation waters sediments, particular absence [11, 12]. Bacteria cyanobacteria actinobacteria) phytoplankton, zooplankton, protozoa) important components food webs [13], interaction affects biomass Chl-α-containing [14, 15]. actinomycete display algicidal effect on Alexandrium tamarense [14], flagellates degrade toxic sp. producing functional compounds peroxiredoxin phosphatase) [15]. deciphering state essential investigate relying organisms prokaryotic eukaryotic algae) Planktonic drives multinutrient cycles [16]. whether could affect poorly understood during Most prefer community composition environments [17–19]. remains largely unknown about mechanisms underlying maintenance attempts made simultaneously estimate prokaryotes assessing species presence–absence abundance, assembly processes, coexistence [20–23]. In community, abundance be interpreted replacement difference [20]. Ecological processes include determinism sorting) stochasticity, with former imposed abiotic biotic later induced random events birth, death, drift) [24, 25]. Both heterogeneity adjust balance between stochasticity [25, 26]. instance, salinity major determinant shaping assemblies bacterioplankton Yellow River Estuary [26] microeukaryotes urban reservoirs [21]. determines (i.e., homogeneous selection heterogeneous selection) thus governs turnover Paraná [25]. Coexistence patterns, reflected co-occurrence network, infer interactions [27, 28]. According networks, identified as mutualistic or antagonistic based positive negative interactions, well hub balancing stability many rivers, lakes, reservoirs) [17, 21, 25, 26, 29], but insufficiently studied lakes suffering from massive this study, we chose 12 representative located Wuhan City (Supporting Information Table S1 Figure S1) collected samples April, May, June follow bloom development. criterion defining threshold 40 μg/L [30], these were > May April [83.29 ± 67.11 μg/L]; Supporting Information: S2). Here, aim (i) explore distribution differences, (ii) elucidate affecting Considering physicochemical properties change 22, 31], hypothesized both differ among sampling months. Because living styles [13, 16], would opposite constraint We measured conducted Illumina MiSeq sequencing bacterial communities address our research objectives verify hypothesis. found responses Water varied month S2), showing significant differences nitrate demand, calcium, magnesium, iron, electrical conductivity, pH, temperature, dissolved (p < 0.05). No turbidity, soluble reactive ammonia 3 months The (2.21–564.27 μg/L) notably increased June, more than 60% displayed three 66.7%; 70.4%; 77.8%). There increases index (TLI) (37.11–81.55; mesotrophic-hypereutrophic) (40.35–100.16; 0.05; Only turbidity was significantly correlated TLI all 0.05 p 0.01 0.001; higher June) S3). These results indicate there Absolute abundances S4), differently (r = 0.518, 0.01), 0.506, 0.567, 0.01). compositions exhibited distinct S5). A 10,511 amplicon sequence variants (ASVs) 4487 ASVs months, they shared 2080 783 ASVs, respectively. Bacterial dominated Proteobacteria (37.22%–59.82%), Actinobacteria (18.78%–33.85%), Bacteroidetes (5.65%–12.86%), Firmicutes (1.51%–5.45%), Deinococcus-Thermus (0.32%–3.86%), Cyanobacteria (3.08%–14.70%), Verrucomicrobia (0.56%–1.25%) relative positively S4). contrast, Chlorophyta (7.69%–20.42%), Rotifera (11.43%–13.30%), Arthropoda (8.59%–14.02%), Chytridiomycota (0.44%–5.16%), Dinophyceae (2.50%–6.02%), Chrysophyceae (0.71%–5.63%), Bacillariophyta (1.48%–7.64%), Streptophyta (0.32%–1.21%). Relative June. rather other Nonmetric multidimensional scaling (NMDS) plots (pairwise analyses similarity [ANOSIM], R 0.563, 0.001) (ANOSIM, 0.160, Significant distance-decay relationships (DDRs) 0.001), most fitness values relatively low at taxonomic phylogenetic levels (R2 0.1) S6), indicating weak decay geographical distance. β-diversities revealed S6). Except explained compositional variation redundancy analysis (RDA) S7). Based permutational multivariate variance (PERMANOVA) results, effects S8). shifts time, roles eukaryotes. By disassembling β-diversity (Figure 1), comparable dissimilarity richness difference. ratio (Repl/D) (mean Repl/D: 0.9724; 0.9684; 0.9666) 0.9318; 0.9379; 0.9771) S9). trend Unexpectedly, α-diversity represented Shannon–Wiener lower This result suggests increase along Mantel correlograms consistently noticeable correlations across short distances gradients S10). also intermediate distance covers signal 10% 40% maximum within each tree. signals Subsequently, evaluated time 2). Dispersal limitation (31.34%–66.95%), variable (10.26%–58.12%), "undominated" (3.42%–40.74%) large whereas (0.57%–3.99%) homogenizing dispersal (0.28%–1.71%) limited influences 2A). Deterministic (58.67% May; 60.40% stochastic (41.31% 39.60% balanced assembly. Stochastic (69.52%) (77.21%–87.75%). Generally, differentiating (54.70%–93.17%) (1.71%–4.56%) deterministic affected assemblies, solely determined sorting an 2B). habitat niche breadth 2C). migration rates (m value) derived Sloan neutral model pattern 2D). environmentally constrained is, behaved constructed networks decipher S11 More nodes May. Ratios edges which (Table decreasing increasing potential eukaryotes, When treated whole, number (June April) S12 had S5), suggesting degree interactions. top five core (those highest betweenness centralities) conetworks affiliated Acinetobacter, Candidatus_Aquirestis, Cryptomonas, Deinococcus, Limnobacter, Limnohabitans, Mycobacterium, Rhodoferax S12). ASV_42847 Acinetobacter <1% some even <0.1% (rare taxa) related variables ASV_227008 noticeably 0.05), support Structural equation modeling reveal linkages TLI, diversities, 3). Turbidity (except turn May) 3A). path coefficients under conditions 0.001). models fits data (sample N 27, d.f. denoted nonsignificant χ2 tests SEM (April, 3.094, 0.125; 0.110, 0.740; 0.383, 0.536) 1.357, 0.244; 2.578, 0.108; 1.518, 0.218) direct indirect only 3B). Consequently, larger Physicochemical properties, content, changed temporally [22, 32], individual salinity, light) 33]. comprehensive understanding linkage rarely reported. variations [25], earlier report subtropical flooding 34]. resulted heterogeneity, has not before. demonstrate adjusting microbial terrestrial 35]. determine structure, couple ecosystem functions 36]. diversities specific Future need finding diverse allow better generalization. similar findings 37, 38]. Taxonomic similarities decayed distance, consistent prior [39, 40]. DDRs probably attributable differentiating-dominated homogenizing-dominated communities. It leads [41]. structure might due notable properties. oxygen, salinity) 42, 43]. [42, 44]. coupled function functioning [38], therefore critical throughout space. lakes. assembly, accordance previous notion Tingjiang [29] pools Baltic Sea coast [46]. Yet, differs revealing various Chinese [47] wells North Richland America [48]. Whether dominate seems geospatial 39]. selected however, tend difference, may lead observed assemblies. Furthermore, nutrient-poor determinism-dominated nutrient-rich stochasticity-dominated [49]. clearly seen Additionally, seem versus their lifestyle cell size [50–52]. typically regarded unicellular, multicellular. hyphomycetes characterized filamentous fungi, extreme branching mycelia [53]. Several fungi constitute much sizes bacteria, disperse vegetative animal, insect, actively move using feet, tail, flagella [54], enables easy access abundant flee unfavorable high-temperature, high predation). study contributions directly rely body [52]. complex structures pseudopods) occupy webs. live biofilms [55]. metabolic activity potentials changes explain strong temporally, seasons Lake Taihu [18] Nanhu [22]. Over occurred parallel opposing phenomenon imply close Some therefore, intensive mass developments severely intensify competition Nutrients carbon, sources) exchange sediment via activities [19], offset deficiency bacterioplankton. participants carbon [56, 57]. From protection perspective, should controlled changing presence weaken cycling. primarily penetrability light water, photosynthesis primary producers green [58, 59]. addition, [60], consume available [61], possibly composition, [19, 42]. Though released sediments into 19], supplement meet demand populations scales. multiple copies 16S rRNA gene 18S gene, quantitative polyerase chain reaction (qPCR) will precisely relationship accurately quantifying novel techniques flight spectrometer). Understanding formulate efficient policies. viewpoint practical management, dredging lanthanum-modified bentonite) jointly stage inhibit damage. Collectively, datasets statistical first differentiation embodiments replacement, constraint, shows Our extend plankton's mechanisms. enable guide formulation policies efficiently tropical long scale. 2021, 27 surface (0–0.3 m) sites shallow Wuhan, China S1). 81 Wanzun Sampler, stored sterile polypropylene bags immediately kept approximately 4°C portable refrigerator. visible objects leaves small animals) removed filtering through 5 mm gauzes. Approximately 100 ml filtered remaining part then 0.22-μm polycarbonate membranes (Millipore Corporation) molecular analyses. conductivity situ YSI Pro1020 Quality Tester (Visal). concentrations according standard approaches protocols. Detailed descriptions determination summarized supporting information Method 1). Chl-α, evaluation calculate detailed algorithms previously [8] supplementary materials calculated factor Genomic DNA extracted PowerWater Isolation Kit (MOBIO) manufacturer's instructions. purity concentration NanoDrop 2000 Spectrophotometer (Thermo Fisher Scientific). All placed −80°C. Universal primers 338F (5′-ACT CCT ACG GGA GGC AGC A-3′) 806R (5′-GGA CTA CHV GGG TWT AT-3′) partially amplify 16 S targeting V3-V4 region [62]. Eu565F (5′-CCA GCA SCY GCG GTA ATT CC-3′) Eu981R TTC GTT CTT GAT YRA TGA-3′) V4 [63]. Quantitative PCR absolute ABI VIIA 7 Cycle Real-time System (Applied Biosystems). platform Personal Biotechnology Co., Ltd. raw sequences run QIIME2 pipeline DADA2 obtain denoised, chimera-free, nonsingleton [64]. subsequent analyses, effort done minimum sample eliminated contained 20 reads. trees built FastTree tool [65]. One-way data. Venn diagram, NMDS plot, ANOSIM applied general plankton. Bray–Curtis beta mean nearest taxon (βMNTD) (Bray–Curtis similarity) (1-βMNTD) RDA composition. assessed pure (without factor's influence) tested parameter PERMAVONA [37]. To disassembled "agricolae" "adespatial" packages, visualized "ggtern" "vcd" packages test "mantel.correlog" "vegan" package Null model, employed [29, 66, 67]. divergences (BrayCurtis-based Raup-Crick [RCbray]) (β-nearest [βNTI]) null compute proportions applying "picante" package. distinguished RCbray βNTI, including (βNTI −2), 2), (| βNTI | 2 0.95), −0.95), (homogenizing selection), (variable limitation). [66, 68]. computed Levins' "B" community-level B value (Bcom) breath "spaa" R, whereby Bcom flexibility [69]. contribution evaluating rate "m" [70]. 50% (>14 samples) build Co-occurrence software Gephi v. 0.9.2 (https://gephi.org/) significance Spearman's correlation (r) 0.6 (SEM) "plspm" "sem" R. Wenjie Wan: Conceptualization, methodology, writing–original draft, validation, investigation, funding acquisition. Hans-Peter Grossart: Writing–review editing. Donglan He: validation. Wenzhi Liu: Conceptualization methodology. Shuai Wang: methodology software. Yuyi Yang: writing–review editing, work supported National Natural Science Foundation (42107147 32071614). HPG funded German (DFG) project "PycnoTrap" (GR 1540/37-1). authors declare no conflict interest. sets deposited database Center Short Read Archive accession numbers PRJNA818785 (bacteria) PRJNA818786 (eukaryotes). Important codes (published statisticians) Information. Supplementary (figures, tables, scripts, graphical abstract, slides, videos, translated version, updated materials) online DOI iMeta https://www.imeta.science/. Please note: publisher responsible functionality any supplied authors. Any queries (other missing content) directed corresponding author article.

Язык: Английский

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Environmental DNA metabarcoding revealed the impacts of anthropogenic activities on phytoplankton diversity in Dianchi Lake and its three inflow rivers

Ecology and Evolution, Год журнала: 2023, Номер 13(5)

Опубликована: Май 1, 2023

Abstract Phytoplankton diversity is closely related to environmental variables and has been widely used in ecological health assessment of rivers lakes. Combining advantages DNA‐based identification high‐throughput sequencing technology, DNA (eDNA) metabarcoding permits a new measurement for biodiversity monitoring aquatic ecosystems. However, it had rarely explore the variability similarity phytoplankton between lake its inflow effects on phytoplankton. This study utilized eDNA investigate spatial distribution impacts Dianchi Lake (one most polluted urban lakes China) main (Panlong River, Baoxiang Chai River). A total 243 distinct taxa were detected, covering 9 phyla, 30 classes, 84 orders, 132 families, taxonomic richness was higher than that Lake. Distinct patterns (e.g., community structure, dominant taxon, ɑ‐diversity) exhibited among three rivers, but similar also observed estuarine sites. The variables, which associated with pollution sources from different anthropogenic activities urbanization, water diversion, industrial agricultural activities). primary correlated varied habitats. phosphorus (TP) chemical oxygen demand (COD) positively structures Lake, whereas negatively Panlong River River. nitrogen (TN) Overall, this provides insights conservation healthy management

Язык: Английский

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Anthropogenic forcing leads to an abrupt shift to phytoplankton dominance in a shallow eutrophic lake

Freshwater Biology, Год журнала: 2024, Номер 69(3), С. 335 - 350

Опубликована: Янв. 10, 2024

Abstract The timing and causes of lake eutrophication are often obscured when multiple anthropogenic disturbances coincide in space time. This issue is particularly problematic for shallow lakes arid regions that experience strong climatic forcing which alters hydrology water levels, further conflates causal drivers. We used Utah Lake (Utah, U.S.A.) as a model system to examine how natural hydrological variability influence ecosystem structure large climates. Paleolimnological analyses sedimentary biogeochemistry, pigments, DNA, morphological fossils were identify shifts primary production evaluate the relative regional climate‐driven humans on structure. Sediment cores revealed phase prior non‐indigenous settlement included numerous macrophyte gastropod remains, DNA from plants, low organic matter, algal production. An abrupt transition occurred late 19th century concomitant with agricultural urban expansion introduction common carp, was characterised by loss macrophytes an increase phytoplankton abundance indicated pigment concentrations. A shift increased cyanobacteria c. 1950 exponential population growth wastewater influx, recorded δ 15 N values. Taken together, our data demonstrate current eutrophic state function rather than fluctuations. Furthermore, can exhibit similar patterns change between alternate states those observed northern temperate/boreal subtropical ecosystems.

Язык: Английский

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