The response patterns of microbial functional genes involved in biogeochemical cycles to cadaver decay is a central topic of recent environmental sciences. However, the response mechanisms and pathways of the functional genes associated with the carbon (C) and nitrogen (N) cycling to cadaveric substances such as cadaverine and putrescine remain unclear. This study explored the variation of functional genes associated with C fixation, C degradation and N cycling and their influencing factors under cadaverine, putrescine and mixed treatments. Our results showed only putrescine significantly increased the alpha diversity of C fixation genes, while reducing the alpha diversity of N cycling genes in sediment. For the C cycling, the mixed treatment significantly decreased the total abundance of reductive acetyl-CoA pathway genes (i.e., acsB and acsE) and lig gene linked to lignin degradation in water, while only significantly increasing the hydroxypropionate-hydroxybutylate cycle (i.e., accA) gene abundance in sediment. For the N cycling, mixed treatment significantly decreased the abundance of the nitrification (i.e., amoB), denitrification (i.e., nirS3) genes in water and the assimilation pathway gene (i.e., gdhA) in sediment. Environmental factors (i.e., total carbon and total nitrogen) were all negatively associated with the genes of C and N cycling. Therefore, cadaverine and putrescine exposure may inhibit the pathway in C fixation and N cycling, while promoting C degradation. These findings can offer some new insight for the management of amine pollution caused by animal cadavers.

Animal carcass decomposition is involved in nitrogen (N) cycle in the aquatic ecosystems, for example denitrification, volatilization and leaching. The denitrification process is a crucial part of the nitrogen cycle, helping to alleviate biological toxicity resulting from nitrate accumulation. However, it is still unknown whether and how cadaver decay affects the denitrifiers and their activity in river water. In this study, six denitrifiers (encoding napA, narG, nirK, nirS, norB and nosZ, respectively) and denitrifying activity were investigated in a model water system with nitrogen pollution from corpse decomposition using high-throughput sequencing, real-time quantitative PCR and denitrifying enzyme activity (DEA) assay. Cadaver decay increased the quantity and altered the composition of denitrifying microbiota. Multiple regression on distance matrices revealed that corpse decay had a significantly greater impact on the denitrification communities than temperature. To our surprise, the DEA decreased in the contaminated water by cadavers. The multiple regression models revealed that the abundance of denitrifying taxa and the gene copies may jointly predict changes in DEA, with highest contribution coming from the norB-type Hydrogenophaga. Further, the partial least squares path model (PLS-PM) showed that corpse decay indirectly inhibited DEA via the denitrification community and water physicochemical properties. Synthesis and applications. This study provides important insights into how cadaver decomposition can reduce denitrification activity in water systems. These findings can assist us in scientifically managing and remediating polluted water bodies. This study provides important insights into how cadaver decomposition can reduce denitrification activity in water systems. These findings can assist us in scientifically managing and remediating polluted water bodies.image

Urban parks play a significant role in urban ecosystems and are strongly associated with human health. Nevertheless, the biological contamination of urban parks - opportunistic pathogens and antibiotic resistance genes (ARGs) - has been poorly reported. Here, metagenomic and 16 S rRNA sequencing methods were used to study the distribution and assembly of opportunistic pathogens and ARGs in soil and water from nine parks in Lanzhou city, and further compared them with local human gut microbiomes to investigate the potential transmission risk. Our results revealed that the most important type of drug resistance in urban parks was multidrug resistance, with various resistance mechanisms. Approximately half of ARGs were shared between human gut and park environment, and it was noteworthy that cross-species transmission might exist among some high-risk ARGs, such as mepA and mdtE, with a significant enrichment in human gut. Metagenomic binning uncovered several bacterial genomes carrying adjacent ARGs, MGEs, and virulence genes, indicating a possibility that these genes may jointly transfer among different environments, particularly from park environment to human. Our results provided a reference point for the management of environmental pollutants in urban parks.

Human activity and climate change affect biodiversity and cause species range shifts, contractions, and expansions. Globally, human activities and climate change have emerged as persistent threats to biodiversity, leading to approximately 68% of the ~522 primate species being threatened with extinction. Here, we used habitat suitability models and integrated data on human population density, gross domestic product (GDP), road construction, the normalized difference vegetation index (NDVI), the location of protected areas (PAs), and climate change to predict potential changes in the distributional range and richness of 26 China's primate species. Our results indicate that both PAs and NDVI have a positive impact on primate distributions. With increasing anthropogenic pressure, species' ranges were restricted to areas of high vegetation cover and in PAs surrounded by buffer zones of 2.7-4.5 km and a core area of PAs at least 0.1-0.5 km from the closest edge of the PA. Areas with a GDP below the Chinese national average of 100,000 yuan were found to be ecologically vulnerable, and this had a negative impact on primate distributions. Changes in temperature and precipitation were also significant contributors to a reduction in the range of primate species. Under the expected influence of climate change over the next 30-50 years, we found that highly suitable habitat for primates will continue to decrease and species will be restricted to smaller and more peripheral parts of their current range. Areas of high primate diversity are expected to lose from 3 to 7 species. We recommend that immediate action be taken, including expanding China's National Park Program, the Ecological Conservation Redline Program, and the Natural Forest Protection Program, along with a stronger national policy promoting alternative/sustainable livelihoods for people in the local communities adjacent to primate ranges, to offset the detrimental effects of anthropogenic activities and climate change on primate survivorship.

Invertebrates such as termites feeding on nutrient-poor substrate receive essential nitrogen by biological nitrogen fixation of gut diazotrophs. However, the diversity and composition of gut diazotrophs of vertebrates such as Plateau pikas living in nutrient-poor Qinghai-Tibet Plateau remain unknown. To fill this knowledge gap, we studied gut diazotrophs of Plateau pikas (Ochotona curzoniae) and its related species, Daurian pikas (Ochotona daurica), Hares (Lepus europaeus) and Rabbits (Oryctolagus cuniculus) by high-throughput amplicon sequencing methods. We analyzed whether the gut diazotrophs of Plateau pikas are affected by season, altitude, and species, and explored the relationship between gut diazotrophs and whole gut microbiomes. Our study showed that Firmicutes, Spirochaetes, and Euryarchaeota were the dominant gut diazotrophs of Plateau pikas. The beta diversity of gut diazotrophs of Plateau pikas was significantly different from the other three lagomorphs, but the alpha diversity did not show a significant difference among the four lagomorphs. The gut diazotrophs of Plateau pikas were the most similarly to that of Rabbits, followed by Daurian pikas and Hares, which was inconsistent with gut microbiomes or animal phylogeny. The dominant gut diazotrophs of the four lagomorphs may reflect their living environment and dietary habits. Season significantly affected the alpha diversity and abundance of dominant gut diazotrophs. Altitude had no significant effect on the gut diazotrophs of Plateau pikas. In addition, the congruence between gut microbiomes and gut diazotrophs was low. Our results proved that the gut of Plateau pikas was rich in gut diazotrophs, which is of great significance for the study of ecology and evolution of lagomorphs.

Antibiotic resistance genes (ARGs), emerging pollutants, are widely distributed in aquatic environments, and are tightly linked to human health. However, the research progress and trends in recent years on ARGs of aquatic environments are still unclear. This paper made a comprehensive understanding of the research advance, study trends and key topics of 1592 ARGs articles from 2012 to 2022 by bibliometrics. Publications on ARGs increased rapidly from 2012 to 2022, and scholars paid closer attention to the field of Environmental Sciences & Ecology. The most influential country and institution was mainly China and Chinese Academy of Sciences, respectively. The most articles (14.64 %) were published in the journal Science of the total environment. China and USA had the most cooperation, and USA was more inclined to international cooperation. PCR-based methods for water ARG research were the most widely used, followed by metagenomics. The most studied ARG types were sulfonamides, tetracyclines. Moreover, ARGs from wastewater and rivers were popularly concerned. Current topics mainly included pollution investigation, characteristics, transmission, reduction and risk identification of ARGs. Additionally, future research directions were proposed. Generally, by bibliometrics, this paper reviews the research hotspots and future directions of ARGs on a global scale, and summarizes the more important categories of ARGs, the pollution degree of ARGs in the relevant water environment and the research methods, which can provide a more comprehensive information for the future breakthrough of resistance mechanism, prevention and control standard formulation of ARGs.

DEAR EDITOR,The Myanmar or black snub-nosed monkey（Rhinopithecus strykeri） is a recently discovered and critically endangered colobus primate with an unknown gut microbiota. Here, we characterized and compared the gut microbiota of R. strykeri with those of two closely related snub-nosed monkey species,

Determining the response of functional genes and microbiota involved in the nitrogen (N) cycle to warming in the face of global climate change is a hotpot topic. However, whether and how elevated temperature affects the N-cycle genes in polluted water remains unclear. Based on metagenomics, we investigated the responses of the whole N-cycling genes and their microbial communities to the temperature gradients (23, 26, 29, 32, and 35 °C) using animal cadavers as an N-pollution model. We found that the abundance of gene families involved in glutamate metabolism, assimilatory nitrate reduction to nitrite (ANRN), and denitrification pathways decreased with temperature. Moreover, warming reduced the diversity of N-cycling microbial communities. Ecological network analysis indicated that elevated temperature intensified the mutual competition of N-cycle genes. The partial least squares path model (PLS-PM) showed that warming directly suppressed most N-cycle pathways, especially glutamate metabolism, denitrification, and ANRN pathways. Corpse decay also indirectly inhibited N-cycling via regulating N content and microbial communities. Our results highlight warming leads to N accumulation by inhibiting the ANRN and denitrification pathways, which may jeopardize ecological environment security. Our study is expected to provide valuable insights into the complex N-cycle process and N-pollution in warmer aquatic ecosystems.

Corpse decomposition is of great significance to the carbon cycle of natural ecosystem. Carbon fixation is a carbon conversion process that converts carbon dioxide into organic carbon, which greatly contributes to carbon emission reduction. However, the effects of wild animal carcass decay on carbon-fixing microbes in grassland soil environment are still unknown. In this research, thirty wild mammal (Ochotona curzoniae) corpses were placed on alpine meadow soil to study the carbon storage and carbon-fixing microbiota succession for a 94-day decomposition using next-generation sequencing. Our results revealed that 1) the concentration of total carbon increased approximately 2.24-11.22% in the corpse group. 2) Several carbon-fixing bacterial species (Calothrix parietina, Ancylobacter rudongensis, Rhodopseudomonas palustris) may predict the concentration of total carbon. 3) Animal cadaver degradation caused the differentiation of carbon-fixing microbiota structures during succession and made the medium-stage networks of carbon-fixing microbes more complicated. 4) The temporal turnover rate in the experimental groups was higher than that in the control groups, indicating a quick change of gravesoil carbon-fixing microbiota. 5) The deterministic process dominates the assembly mechanism of experimental groups (ranging from 53.42% to 94.94%), which reflects that the carbon-fixing microbial community in gravesoil can be regulated. Under global climate change, this study provides a new perspective for understanding the effects of wild animal carcass decay on soil carbon storage and carbon-fixing microbes.

Untangling assembly and microbial interaction of abundant and rare microbiota in aquatic ecosystem is pivotal for understanding how community assembly respond to environmental variables and co-occurrence patterns. Here, we explored the assembly mechanisms, their drivers, and species co-occurrence of abundant and rare microbiomes in the Yellow River using 16S rRNA gene sequencing in Lanzhou, China. Here, abundant community was ubiquitous across all sites, whereas rare community was uneven distributed. The richness and community dissimilarity of rare taxa were significantly greater than those of abundant ones. Stochastic processes structured the rare community assembly in spring and winter, while deterministic processes shaped the abundant and rare community assembly in other seasons and all sites. Copper and water temperature mediated the balance between deterministic and stochastic processes of abundant and rare community, respectively. A few abundant taxa with closer relationships frequently occupied central positions and had a great effect on other co-occurrences in the network, while the majority of keystone microbiota were rare microbiome and played a considerable part in maintaining the network structure. Our study provides some ecological proposals for water quality management and ecological stability of the Yellow River. Key points • Deterministic process dominated abundant and rare community assembly. • Cu and TW mediated the balance of abundant and rare community assembly respectively. • Abundant taxa had a greater effect on other co-occurrences in the network.

Climate warming may aggravate the threat of antibiotic resistance genes (ARGs) to environmental and human health. However, whether temperature can predict ARGs and influence their assembly processes remains unknown. Here, we used metagenomic sequencing to explore how gradually elevated water temperature (23 °C, 26 °C, 29 °C, 32 °C, 35 °C) influences ARG and mobile genetic element (MGE) profiles in the Yellow River. In total, 30 ARG types including 679 subtypes were detected in our water samples. Gradually increased temperature remarkably reduced ARG diversity but increased ARG abundance. Approximately 37 % of ARGs and 42 % of MGEs were predicted by temperature, while most others were not sensitive to temperature. For each 1 °C increase in temperature, the ARG abundance rose by 2133 TPM (Transcripts Per kilobase of exon model per Million mapped reads) abundance, and multidrug, tetracycline and peptide resistance genes had the fastest increases. Proteobacteria and Actinobacteria were the primary ARG hosts, with 558 and 226 ARG subtypes, respectively. Although ARG profiles were mainly governed by stochastic process, elevated temperature increased the deterministic process of ARGs in the Yellow River. The abundance of five high-risk ARGs (tetM, mecA, bacA, vatE and tetW) significantly increased with elevated water temperature, and these ARGs co-occurred with several opportunistic pathogens (Delftia, Legionella and Pseudomonas), implying that antibiotic resistance risk may increase under climate warming. Our study explored the possibility of predicting resistomes and their health risks through temperature, providing a novel approach to predict and control ARGs in water environments under climate warming.

Gut microbiome gene catalogues have advanced the knowledge of host-microbiome interactions in many mammals. Snub-nosed monkeys (Rhinopithecus spp) are folivores with foregut fermentation which is similar to ruminants, but their gut microbiota lacks a comprehensive description. In this study, we constructed a comprehensive gene catalogue by performing metagenomic analysis on 143 wild snub-nosed monkeys and compare it to that of ruminants and monogastric animals. Our results demonstrate the classification and functional characteristics of the gut microbiome of snub-nosed monkeys and identified a set of core genera in these mammals. Moreover, we found that the gut of snub-nosed monkeys and other herbivores was enriched with more bacteria and enzymes related to the degradation of structural carbohydrates, indicating the importance of gut microbiota for dietary adaptation. Our study expands resources for gut microbiome studies of nonhuman primates and provide new insights into the evolutionary route of foregut fermenting animals during dietary adaptation.

Abstract Background Temperature shapes microbial functional genes associated with carbon (C) cycles. However, the effects of temperature on microbial C cycle genes associated with carcass-contaminated water remains poorly understood. To fill this gap, we explored the variation of microbial carbon cycling genes in polluted water caused by animal corpse decay at five different temperature gradients (23, 26, 29, 32, and 35℃) by metagenomic sequencing. Results Corpse decay increased the total carbon by 86.6%, but temperature rise had no significant effect. The dominant phyla of C-cycle microbes were Proteobacteria, followed by Actinobacteria and Bacteroidetes. Approximately a half of carbon-cycling genes and 37.59% of carbohydrate-active enzyme genes can be predicted by temperature, while others were not sensitive to temperature. The alpha diversity of carbon cycling genes decreased with rising temperature, and beta diversity was affected by temperature and cadaver decomposition. High temperature led to an increase of those genes encoding decomposed starch, carbohydrate esters, pectin, lignin, chitin, cellulose, oligosaccharide, debranching enzymes and hemicellulose in control group, while only carbohydrate esters decomposition increased with temperature in the corpse group. The concentration of total carbon was positively related with easily degradable carbon genes (e.g., decomposed starch), but lacked correlations with refractory carbon genes (e.g., cellulose, hemicellulose and lignin). Conclusions We found that carbon degradation rather than carbon fixation was dominated during animal carcass decay, and microbes may prioritize use the degradable carbon, such as easily decomposed amylose. Our research finds that carcass decomposition regulates carbon cycle pathway, and provides possibility for predicting carbon cycle genes under global warming.

Biological introductions provide a natural ecological experiment unfolding in a recent historical timeframe to elucidate how evolutionary processes (such as founder effects, genetic diversity and adaptation) shape the genomic landscape of populations postintroduction. The Asian icefish, Protosalanx chinensis, is an economically important fishery resource, deliberately introduced into dozens of provinces across China for decades. However, while invading and disturbing the local ecosystem, many introduced populations declined, disappearing mysteriously in a very short time. The way in which various evolutionary forces integrate to result in invasion failure of an introduced population remains unknown. Here, we performed whole-genome sequencing of 10 species from the Salangidae family and 70 Asian icefish (Protosalanx chinensis) individuals from 7 geographic populations in China, aiming to characterize the evolutionary fate of introduced populations. Our results show that compared to other Salangidae species, P. chinensis has low genetic diversity, potentially due to the long-lasting decline in population size. In a recently introducted population, Lugu lake, severe sampling effects and a strong bottleneck further deteriorated the genomic landscape. Although the introduced population showed signs of reduced genetic load, the purging selection efficiency was low. Our selective sweep analysis revealed site frequency changes in candidate genes, including gata1a and hoxd4b, which could be associated with a decrease in dissolved oxygen in the deep-water plateau lake. These findings caution against the widespread introduction of P. chinensis in China and lay the groundwork for future use of this economically species.

The propagation of antibiotic resistance genes (ARGs) has become a global public health concern. However, the distribution and influencing factors of ARGs, especially high-risk ARGs, in the gut of aquaculture animals remain unclear. Here, we employed 16S rRNA gene sequencing and high-throughput quantitative PCR techniques to determine crayfish gut microbiota and ARGs collected from 40 culture ponds in major crayfish farming provinces of China. We detected 74 ARGs in crayfish gut. Among them, the beta-lactamase and tetracycline resistance genes were dominant. The total ARG abundance was the highest in Hubei Province. High-risk ARGs were also found in crayfish gut, and ermB had the highest abundance and distributed in Anhui, Hubei, Henan and Jiangxi Province. In addition, opportunistic pathogens (Streptococcus, Aeromonas and Acinetobacter) might be potential hosts for ARGs, including high-risk ARGs. Finally, habitat, environmental factors (NO3-N, pH and temperature), microbial alpha diversity and mobile genetic elements (MGEs) showed significant influence on ARGs profiles. Generally, our results illustrate that ARGs are prevalent in crayfish gut and may pose potential risk to human health, which will help develop targeted strategies for the risk management and assessment of ARGs in the aquaculture.

Climate warming multiplies the threat of antibiotic resistance genes (ARGs) to public health, but whether temperature may predict antibiotic resistomes in water environment remain unknown. Here, by metagenomic sequencing, we investigated the changes of resistome at five different temperature gradients (23, 26, 29, 32, and 35 degrees C) in polluted water by animal cadaver. Thirty ARG types including 668 subtypes were observed in our samples. Temperature significantly influenced ARG profiles and showed a negative correlation with ARG diversity. The ARG assembly process was dominated by a deterministic process (63.32%-95.08%) but showed a peak pattern with temperature. Notably, temperature may predict approximately 21% of ARGs and 36% of mobile genetic elements (MGEs), while most other ARGs or MGEs were insensitive to temperature. Three types (carbapenem, dicyclomycin, and diaminopyrimidine antibiotic) and 63 subtypes of ARGs that positively correlated with temperature were identified in the polluted water. Notably, we screened 21 subtypes of high-risk ARGs (bacA, mdtA, tetM, etc.) and 22 opportunistic pathogens (Aeromonas, Clostridium, Bacteroides, etc.) and found their positive co-occurrence with temperature, implying these potential biological or genetic pollutants may probably go up under global warming. Our study reveals the predictability of temperature on antibiotic resistance genes, providing a suitable approach to track the fate and spread of ARGs in water environment under climate warming.

Animal carcass decay produces many poisonous metabolites and chemical pollutants, which pose potential ecological risks to the aquatic environment and human health. However, the effects of animal cadaver decomposition on high-risk antibiotic resistance genes (ARGs) and potential pathogens in different water types are still unknown. In this study, fifteen freshwater economic fish (Carassius auratus) corpses were put into three types of water (i.e., pond water, tap water, and domestic sewage) for a 100-day decomposition. Next generation sequencing and HT-qPCR were used to illustrate how corpse decomposition affected microbial communities and ARG profiles. Our results revealed that fish corpse degradation caused similar resistomes and microbiome in different water types. MLSB (Macrolide-Lincosamide-Streptogramin B), β-lactamase, sulfonamide, tetracycline resistance genes and transposase genes in the experimental groups were increased. Among them, tetracycline resistance genes were enriched by 224 to 136,218-fold during the process of corpse degradation. Furthermore, high-risk ARGs (ermB, floR and dfrA1), which resist to MLSB, multidrug and sulfonamide respectively, were significantly enriched in the cadaver groups and had co-occurrence patterns with opportunistic pathogens, such as Bacteroidetes, which was more than 37 times in carcass groups than that in control groups. The study is able to draw a general conclusion that cadaver decomposition of freshwater economic fish deteriorates the aquatic environment by affecting high-risk ARGs and pathogenic microorganisms regardless of water types, which poses potential threats to human health. Therefore, timely management and treatment of animal carcasses is of great significance to the protection of water environment.

Plateau pikas (Ochotona curzoniae) are high-altitude model animals and famous “ecosystem engineers” on the Qinghai-Tibet Plateau. Pika activities may accelerate the degradation of alpine meadows. Nevertheless, little is known about the responses of bacterial, fungal, and archaeal communities, and ecosystem multifunctionality to pika perturbations. To address this question, we studied the impacts of only pika disturbance and combined disturbance (pika disturbance and grazing) on ecological networks of soil microbial communities and ecosystem multifunctionality. Our results demonstrated that Proteobacteria, Ascomycota, and Crenarchaeota were dominant in bacteria, fungi, and archaea, respectively. Bacteria, fungi, and archaea were all influenced by the combined disturbance of grazing and pika. Most fungal communities became convergent, while bacterial and archaeal communities became differentiated during the succession of surface types. In particular, the bacterial and fungal networks were less stable than archaeal networks. In response to the interference, cross-domain cooperation between bacterial and fungal communities increased, while competitive interactions between bacterial and archaeal communities increased. Pika disturbance at high intensity significantly reduced the ecosystem multifunctionality. However, the mixed effects of grazing and pika weakened such influences. This study revealed how pika activities affected microbial networks and ecosystem multifunctionality. These results provide insights to designing reasonable ecological management strategies for alpine grassland ecosystems.

Primates have evolved a variety of feeding habits and intestinal physiological structure. Gut microbiome act as metabolic organs in many biological processes and play a vital role in adaptation to dietary niches. Gut microbiome also convert primary bile acids (BAs) to secondary. BAs profile and gut microbiome are together influenced by diets and play a significant role in nutrient absorption. The regulation between gut microbiome and BAs metabolism is bidirectional although the relationship in primates consuming diverse diets is still unclear. Here, we investigated gut microbiome structures, fecal BAs profile, and their relationship in primates preferring three distinct diets. We found that gut microbiome communities are well differentiated among dietary groups. Folivorous primates had higher Firmicutes abundance and lower Prevotella to Bacaeroides ratios, possibly related to fiber consumption. Frugivorous primates are colonized predominantly by Prevotella and Bacteroides, pointing to an increased adaptation to high-sugar and simple carbohydrate diets. Likewise, BA profiles differ according to diet in a manner predictable from the known effects of BAs on metabolism. Folivorous primates have high conjugated bile acid levels and low unconjugated to conjugated BA ratios, consistent with their fiber-rich leaf-eating diet. Much of the differentiation in secondary and unconjugated BAs is associated with microbiome composition shifts and individual bile acid concentrations are correlated with the abundance of distinct bacterial taxonomic groups. Omnivores have higher concentrations of secondary BAs, mainly lithocholic acid (LCA). These levels are significantly positively correlated with the presence of Clostrida species, showing that the digestion requirements of omnivores are different from plant-eating primates. In conclusion, gut microbiome and BAs can respond to changes in diet and are associated with nutrient component consumption in each diet primate group. Our study is the first to demonstrate BA profile differentiation among primates preferring diverse diets. BAs thus appear to work with gut microbiome to help primates adapt to their diet.

The influences of global climatic change require an understanding of changes in soil microbial communities under precipitation. However, little is known about how soil ("gravesoil") microbial communities associated with corpse decay respond to precipitation. Here, we explored the variations of temporal turnover and assembly in gravesoil bacterial communities in the Qinghai-Tibet Plateau ecosystem via controlled rainfall simulation experiments. In our experiments, rainfall intensity was set to 2.5 and 5 mm/3 days to simulate moderate and heavy rainfall, respectively, and sampling was conducted on the 4th, 11th, 18th, 32nd, 46th and 60th day. Our results showed precipitation significantly altered bacterial abundances and community structures. Analysis of time-decay relationships revealed that precipitation resulted in a divergent succession of gravesoil bacterial community structure and abundance changes of dominant phyla, such as Chloroflexi. Moreover, in the experimental groups, our results suggested that moderate rainfall increased the deterministic processes in the initial and mid periods, whereas heavy rainfall decreased these processes of gravesoil microbial community assembly in every period compared with those in the control group. The dispersal capacity induced by stochastic processes of gravesoil microbial communities decreased over time under moderate rainfall, whereas it initially increased and then decreased under heavy rainfall. This study highlights the influence of heavy rainfall on bacterial communities during corpse decay, which can provide some inferences for predicting changes in soil microbial communities under global climatic change.