Unraveling the impact of climatic warming and wetting on eukaryotic microbial diversity and assembly mechanisms: A 10-year case study in Lake Bosten, NW China

Water Research, Journal Year: 2024, Volume and Issue: 256, P. 121559 - 121559

Published: March 31, 2024

Language: Английский

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Irreversible community difference between bacterioplankton generalists and specialists in response to lake dredging

Water Research, Journal Year: 2023, Volume and Issue: 243, P. 120344 - 120344

Published: July 13, 2023

Language: Английский

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Environmental DNA metabarcoding revealing the distinct responses of phytoplankton and zooplankton to cascade dams along a river-way

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112545 - 112545

Published: Aug. 28, 2024

Language: Английский

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Lake ecological restoration of vegetation removal mitigates algal blooms and alters landscape patterns of water and sediment bacteria

Water Research, Journal Year: 2024, Volume and Issue: 267, P. 122516 - 122516

Published: Sept. 24, 2024

Language: Английский

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Rainfall seasonality shapes microbial assembly and niche characteristics in Yunnan Plateau lakes, China

Environmental Research, Journal Year: 2024, Volume and Issue: 257, P. 119410 - 119410

Published: June 12, 2024

Language: Английский

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

iMeta, Journal Year: 2023, Volume and Issue: 2(1)

Published: Jan. 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.

Language: Английский

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Abundant and rare subcommunity assemblages of prokaryotes and eukaryotes controlled by vertical environmental heterogeneity in an urban reservoir

Water Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Differentiation strategies for microbial community assembly and their associations with soil functions in lemon farmland

Applied Soil Ecology, Journal Year: 2024, Volume and Issue: 201, P. 105493 - 105493

Published: July 10, 2024

Language: Английский

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Enhancing Morchella Mushroom Yield and Quality Through the Amendment of Soil Physicochemical Properties and Microbial Community with Wood Ash

Microorganisms, Journal Year: 2024, Volume and Issue: 12(12), P. 2406 - 2406

Published: Nov. 23, 2024

Morchella mushroom is a nutritionally rich and rare edible fungus. The traditional cultivation model, which relies on expanding the area to meet market demand, no longer sufficient address rapidly growing demand. Enhancing yield quality of without increasing an intractable challenge in development industry. Against this backdrop, study investigates effects different amounts wood ash (WA) application Morchella, conducts in-depth analysis conjunction with soil physicochemical properties microbial communities. results indicate that WA improves both highest increase observed WA2 treatment (4000 kg/hm2), showed 118.36% compared control group (CK). also modified soil, significantly improving integrated fertility index (IFI, p < 0.05). community structure was altered by addition WA. Redundancy (RDA) revealed pH total potassium (TK) were main environmental factors influencing bacterial community, while pH, TK, nitrogen (TN) fungal structure. In addition, diversity tended higher rates, whereas generally decreasing trend. Furthermore, relative abundance beneficial communities, such as Acidobacteriota, promote growth increased application, detrimental Xanthomonadaceae, decreased. Partial least squares path model (PLS-PM) external affecting indicated can alter thereby quality. Among these factors, identified most important determinant

Language: Английский

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EFFECT OF PLANTING LOTUSES ON THE COMMUNITY STRUCTURE OF PLANKTONIC EUKARYOTES IN A SHALLOW POND OF A SUBTROPICAL URBAN PARK IN CHINA

Applied Ecology and Environmental Research, Journal Year: 2024, Volume and Issue: 22(1), P. 833 - 847

Published: Jan. 1, 2024

Although the planktonic eukaryotic community (PEC) is an important component of freshwater ecosystems and plays ecological role, impact artificial water modification on PEC has not been fully evaluated.To analyze lotus planting structure in urban park ponds, this study, we analyzed differences PECs different regions (artificial fountain region, potted direct region) pond subtropical China before after short term (~10 d) for more than a month.Our results indicated that month lotuses, there were evident compositions three regions.Although was no significant difference operational taxonomic unit number Chao1 indices lotuses significantly increased Shannon index PECs.Moreover, modes can alter growth, continuously strengthen interconnection various organisms PECs.These expand our understanding impacts modifications ponds.

Language: Английский

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