CATENA, Journal Year: 2024, Volume and Issue: 245, P. 108329 - 108329
Published: Aug. 24, 2024
Language: Английский
CATENA, Journal Year: 2024, Volume and Issue: 245, P. 108329 - 108329
Published: Aug. 24, 2024
Language: Английский
iMeta, Journal Year: 2023, Volume and Issue: 2(4)
Published: Oct. 22, 2023
Conceptual diagram for the labile organic carbon (OC) fractions mediating microbial assembly processes during long-term vegetation succession. Owing to its sparse and low soil (SOC) content, Loess Plateau is one of regions with highest (C) sequestration potential [1]. Vegetation succession a widely adopted strategy ecosystem recovery capacity rehabilitate degraded lands facilitate matter in semiarid region [2-5]. Additionally, it can influence underground community dynamics [6, 7]. The Ziwuling has undergone approximately 160 years secondary succession, making unique area complete sequence natural following farmland abandonment on [4]. Thus, this provide us better understanding patterns changes (Figure 1A Supporting Information: Table S1). Considering vital role microorganisms function, examining temporal communities crucial [8]. composition are essential function [9, 10]. Deterministic stochastic two primary ecological involved [11]. Traditionally, been regarded as being primarily influenced by deterministic processes, aligning principle that, "everything everywhere, but environment selects" [12]. Nevertheless, should not be disregarded when considering random extinctions or dispersal events [13]. Land use type also notable effect [14-16]. Stochastic have greater agricultural fields, whereas their impact diminishes forested soils, bacterial temperate grasslands [16]. Furthermore, there environmental differences between topsoil (0–20 cm) subsoil (20–40 terrestrial ecosystems [17]. Previous studies indicated that dominate assembly, drift prevailing limitation playing dominant subtropical paddy soils [18]. This indicates associations characteristics different spatial distributions, which may affect function. Although extensive research conducted process [12, 19, 20], uncertainties about remain owing resource balance strongly abiotic factors including nitrogen [19, 21, 22]. Research salt marsh plant shown fluctuations SOC exert strongest selective pressure assemblies [23]. Among eight indicators, had greatest [24]. commonly conceptualized stable C fraction storage models [25], easily oxidizable (EOC), particulate (POC), dissolved considered OC serve early indicators variation [26, 27]. In contrast, recalcitrant (ROC) mineral-associated highly [28]. functional diversity SOC, many these predominantly focused association 29, 30], leaving relationship relatively unclear. Within framework biotic cannot overlooked, could determine attributes niche occupancy 31]. Keystone taxa connected taxonomic groups play roles functionality [32]. For example, Sulfuricella, Rhodobacter, Comamonadaceae, drive mediated graphene derivatives [33]. However, keystone largely unknown ecosystems, enhancing comprehending functionality. To address issues, were selected progression explore structure, co-occurrence networks, relationships fractions. We hypothesized that: (1) stronger than because nutrient limitations, (2) given represents readily usable energy source microorganisms, likely mainly governed Long-term significantly increased accumulation 0–40 cm from pioneer weed stage onwards (p < 0.001; Figure 1B). content was higher all stages After shrubland stage, compared When reached forest (>110 years), gradually stabilized Succession age depth affected comprised phyla Proteobacteria, Actinobacteria, Acidobacteria, Gemmatimonadota, Chloroflexi 1C). Basidiomycota, Ascomycota, Mortierellomycota, Glomeromycota, Kixellomycota fungal abundances Actinobacterta, Mortierellomycota subsoil, those Chloroflexi, Ascomycota lower 0.05; relative Overall, decreased alpha communities, Chao 1 Shannon indices (Supporting S2). A combination NMDS analysis, ANOSIM, Adonis statistical tests varied 1D). Soil Tables S2 S3). along across depths investigated using null model analyses. results showed (|βNTI| > 2), especially homogeneous selection, critical bacteria fungi at both 2A–D). weaker subsoil. (homogeneous selection) later 2A,C). Drift limitations 2B,D). networks distinct each 2E–H). Edges average degree depth, demonstrating network more complex (Table S4). positive correlations cross-kingdom further explored S3), found nodes edges among climax forests S4), suggesting complexity networks. Network analysis identified genus Dongia (ASV901) amplicon variant (ASV) bacteria, genera MND1 (ASV155) MB-A2-108 (ASV266) 2E,F S5). ASVs included (ASV4), family Pezizaceae (ASV45), Fusarium (ASV136), class Sordarioclamycetes (ASV689) 2G Alternaria (ASV44), (ASV70), Filobasidium (ASV374), order Chaetothyriales (ASV250) 2H abundance negatively correlated 3A). It worth noting ASV901 correlation taxon–environment community. consisted 60 230 3B), while 44 104 3B). EOC (connection number: 42) most important closely associated EOC, POC, ROC (with connection numbers 20, respectively) linear regression reflected variations bacteria. providing suitable explanation Figures S5 S6). These demonstrated effectively explained OC. Therefore, used mediators illustrate impacts partial least squares path (PLS-PM) 3C–F). main drivers regulated affecting traits total (0.51) S7A), (−0.56) S7C). Bacterial impacted 3D,F S12). effects (0.73) (−0.97) respectively S7B,D). Microbial various life strategies generate responses, [34]. Based mineralization growth rates, classified into r- (copiotrophic, fast-growing) K-strategists (oligotrophic, slow-growing) [35]. study, shifted S8), agreement previous [36, 37]. increase ratio extracellular enzyme activity corroborates result S9 S10). produce enzymes degrade [38-40]. An unstable conducive rapid r-strategists [40], driven [39]. species reduce availability [41]. indicate community, shifts K-strategists, strengthens stability. resources, resulting ASV [42, 43]. Ecological comprising ratios negative due interactions decreasing oscillations disturbed [44, 45]. stability fungi. modularity revealed limiting losing [46]. 2E,H suggests depths. fewer perturbations maintain number nodes, edges, correlations, indicating tended stabilize stage. other generally pools [47]. Consequently, factor communities. suggest increases Clarifying [48]. dominated 2A−D). niche-based theory states structure [14]. Stronger extreme, low-resource general phenomenon [13], explains (lower βNTI) supports first hypothesis. Homogeneous selection usually determined similar conditions exerted significant forces, less expected happen chance [49]. despite still dominating consistent current views, advancement supply under weak Extreme pH acts strict filter phylogenetic clustering, regardless successional age, [50, 51]. we difference small S11), thought caused slow shift processes. importance suddenly 2A,B), related nutrients such PLS-PM driving mechanisms 3C–F S7), confirmed second an applied affects [26]. controlling they [42]. study suggested paramount increase, diminishes. βNTI supported observation pathogenic rhizosphere, decrease benefits maintenance rhizosphere [52, 53]. recognized beneficial bacterium aid pathogen resistance, Xanthomonadaceae, ensure healthy [54]. assembly. Interactions common facilitating 55]. 3C–F), conclusion attributed Some volatiles released antagonistic [56], decomposition [57]. summary, OC, regulating thereby process. illustrated fractions, Given key rather sequences. neutral hypothesis [23], highlighting non-negligible determining directly tested laboratory, so validation through controlled experiments required confirm relationship. new targeted therapy indicator microenvironment. examined cultured metagenomic metatranscriptomic approaches future studies. show drove taxa. addition, Taken together, provides insights link over long scales. Jingwei Shi Lin Yang conceived supervised study. Jiwei Li established experimental sites. Liao collected samples analyzed data. Shuo Jiao, Zhouping Shangguan, Lei Deng assisted data analysis. wrote manuscript input authors. National Natural Science Foundation China (42277471, 42307578, U2243225), Key Development Program Shaanxi Province (2021ZDLSF05-02), Funding Top Young Talents Ten Thousand Plan (2021) Forestry Grassland Administration (2020132601). authors declare no conflict interest. support findings available corresponding author upon reasonable request. DNA sequences generated Center Biotechnology Information's Gen-Bank database project accession PRJNA1022789 PRJNA1023009. scripts saved GitHub https://github.com/Shijingweisjw/iMETA-R-code. Materials (figures, tables, scripts, graphical abstract, slides, videos, Chinese translated version, updated materials) online DOI iMeta http://www.imeta.science/ Please note: publisher responsible any supporting information supplied Any queries (other missing content) directed article.
Language: Английский
Citations
33Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104039 - 104039
Published: Jan. 1, 2025
Language: Английский
Citations
1CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108783 - 108783
Published: Feb. 5, 2025
Language: Английский
Citations
1Microbiology Spectrum, Journal Year: 2025, Volume and Issue: unknown
Published: March 6, 2025
Pine wilt disease (PWD), caused by pinewood nematodes, is highly destructive to pine forests in Asia and Europe, including Korean white (Pinus koraiensis). The microbiome the needles trunk of Pinus spp. are recognized play key roles resistance against PWD. However, role root soil microbiomes remains unclear. This study compares bacterial fungal communities endosphere, rhizosphere soil, bulk diseased versus healthy P. koraiensis. Results showed that PWD increased α-diversity fungi but did not affect microbial diversity endosphere or soil. composition soils was significantly altered Specifically, relative abundance Planctomycetes decreased, Tremellomycetes increased, while Agaricomycetes decreased both after infestation with PWD, respectively. Relative abundances Chloroflexi Verrucomicrobia Proteobacteria following Leotiomycetes Eurotiomycetes Furthermore, host plant ectomycorrhizal decreases, saprotrophic increases soils. Our results revealed affects koraiensis, varying impacts across different plant-soil compartments. provides insights into how respond enhancing our understanding disease's ecological consequences.IMPORTANCEThe belowground often sensitive infection forest diseases also as a potential reservoir for selection agents demonstrates dynamics natural compartment taxa specific, degrees responses highlight importance utilizing appropriate compartments understand consequences
Language: Английский
Citations
1Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 374, P. 109186 - 109186
Published: July 21, 2024
Language: Английский
Citations
8Global Change Biology, Journal Year: 2024, Volume and Issue: 30(12)
Published: Dec. 1, 2024
ABSTRACT Microbial carbon (C) use efficiency (CUE) describes the proportion of organic C used by microorganisms for anabolic processes, which increases with soil (SOC) content on a global scale. However, it is unclear whether similar relationship exists during natural vegetation restoration in terrestrial ecosystems. Here, we investigated patterns CUE along 160‐year chronosequence (from farmland to climax forest) estimated stoichiometric modeling; additionally, examined between and SOC combined these results meta‐analysis. The combination indicated that decreased from 0.35 0.28. Surprisingly, increased decreasing because forest soils have low pH values high microbial phosphorus limitations compared early ecosystems, implying forests may not sequester as much expected. shift was most important predictor climate, plant, factors. changes were directly induced pH‐induced community. Alkaline acidification tended decrease CUE. This first large‐scale estimate highlights need strengthen sink management mature sustain their sequestration potential.
Language: Английский
Citations
7Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 378, P. 109283 - 109283
Published: Sept. 12, 2024
Language: Английский
Citations
6Soil and Tillage Research, Journal Year: 2024, Volume and Issue: 247, P. 106383 - 106383
Published: Nov. 29, 2024
Language: Английский
Citations
4Water, Journal Year: 2025, Volume and Issue: 17(1), P. 125 - 125
Published: Jan. 5, 2025
This study examines the responses of soil organic carbon (SOC) pools and their components to agricultural water drainage in paddy fields, with a focus on wetland–paddy field ecotone Xingkai Lake, transboundary lake shared by China Russia. Field investigations targeted three representative wetland vegetation types: Glyceria spiculosa (G), Phragmites australis (P), Typha orientalis (T), across durations ranging from 0 over 50 years. SOC fractions, including light fraction (LFOC), heavy (HFOC), dissolved (DOC), microbial biomass (MBC), were systematically analyzed. The results revealed that T P wetlands steadily increased duration, whereas those G exhibited fluctuating pattern. dynamics primarily driven LFOC, while MBC displayed species-specific variations. Correlation analyses structural equation modeling (SEM) demonstrated physicochemical properties, such as total nitrogen moisture content, exerted stronger influence fractions than biomass. Overall, drawdown significantly altered dynamics, distinct observed types ages. provides critical data theoretical insights for optimizing sequestration hydrological management systems.
Language: Английский
Citations
0Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160071 - 160071
Published: Jan. 1, 2025
Language: Английский
Citations
0