The vertically-stratified resistomes in mangrove sediments was driven by the bacterial diversity

The vertical distribution and metabolic versatility of complete ammonia oxidizing communities in mangrove sediments

Recently discovered complete ammonia-oxidizing (comammox) microorganisms can completely oxidize ammonia to nitrate and play an important role in the nitrogen (N) cycle across various ecosystems. However, little is known about the vertical distribution and metabolic versatility of comammox communities in mangrove ecosystems. Here we profiled comammox communities from deep sediments (up to 5 m) in a mangrove wetland by combining metagenome sequencing and physicochemical properties analysis. Our results showed that the relative abundance of comammox bacteria (23.2 %) was higher than ammonia-oxidizing bacteria (AOB, 12.0 %), but lower than ammonia-oxidizing archaea (AOA, 64.8 %). The abundance of comammox communities significantly (p < 0.01) decreased with the sediment depth, and dissolved organic carbon and total sulfur appeared to be major environmental factors influencing the nitrifying microbial community structure. We also recovered a high-quality metagenome-assembled genome (MAG) of comammox bacteria (Nitrospira sp. bin2030) affiliated with comammox clade A. Nitrospira sp. bin2030 possessed diverse metabolic processes, not only the key genes for ammonia oxidation and urea utilization in the N cycle, but also key genes involved in carbon and energy metabolisms, sulfur metabolism, and environmental adaptation (e.g., oxidative stress, salinity, temperature, heavy metal tolerance). The findings advance our understanding of vertical distribution and metabolic versatility of comammox communities in mangrove sediments, having important implications for quantifying their contribution to nitrification processes in mangrove ecosystems.

Metagenomic analysis manifesting intrinsic relatedness between antibiotic resistance genes and sulfate- and iron-reducing microbes in sediment cores of the Pearl River Estuary

Antibiotic resistance is an increasingly concerned hotspot of human health. Microbial determinants that may affect the profiles of antibiotic resistance genes (ARGs) in the environments need be explored. Here, sediment cores in the Pearl River Estuary (PRE) were analyzed using metagenomic approaches. ARGs were vertically stratified in the PRE sediment cores in terms of both diversity and absolute levels. Multidrug resistance genes could account for approximately 65.0% of the total ARGs, followed by sulfonamides (19.1%), aminoglycosides (5.9%), beta-lactams (4.5%), etc. ARGs related to aminoglycosides, lincosamides, macrolides, sulfonamides and tetracyclines were preferentially enriched in the surface layers of sediment cores. Sulfate-reducing microbes (SRMs) (e.g., Desulfocapsa and Desulfobulbus) and iron-reducing microbes (IRMs) (e.g., Pseudomonas and Sulfurospirillum) were consistently popular and dominant in the PRE sediment cores. The total levels of both SRMs and IRMs were significantly correlated with those of ARGs in the PRE sediment cores (p < 0.01). Network analysis showed that SRM and IRM genera (i.e., Pseudomonas, Shewanella, and Desulfovibrio) had the high co-occurrence with multiple ARG subtypes in the PRE sediment cores such as rsmA, mexK, and mexF. This study highlighted that anaerobic microbes could play significant roles in shaping vertical ARG distribution in the sediments of aquatic environments.

Vertical variation of antibiotic resistance genes and their interaction with environmental nutrients in sediments of Taihu lake

Antibiotic resistance is a growing environmental issue. As a sink for antibiotic resistance genes (ARGs), lake surface sediments are well known for the spread of ARGs. However, the distribution pattern of ARGs and their relationship with environmental factors in vertical sediment layers are unclear. In this study, we investigated the resistome distribution in sediment cores from Taihu Lake using metagenomic analysis. The results showed that the abundance of total ARGs increased by 153% as the sediment depth rose from 0 to 50 cm, and the ARG Shannon index significantly increased. Among all the ARG types, efflux pump genes (e.g., mexT and mexW) were dominant, especially in 40-50 cm sediment. The variation in ARG with depth described above was related to the changes in bacterial adaptation to environmental gradients. Specifically, sulfate and nitrate concentrations decreased with depth, and random forest analysis showed that they were the main factors affecting the changes in ARG abundance. Environmental factors were also found to indirectly impact the distribution of ARGs by affecting the bacterial community. Potential sulfate-reducing gene/nitrate-reducing gene-ARG co-hosts were annotated through metagenomic assembly. The dominant co-hosts, Curvibacter, and Comamonas, which were enriched in deeper sediments, may have contributed to the enrichment of ARGs in deep sediments. Overall, our findings demonstrated that bacterial-mediated sulfate and nitrate reduction was closely related to sediment resistance, which provided new insights into the control of antibiotic resistance.

The occurrence of banana Fusarium wilt aggravates antibiotic resistance genes dissemination in soil

The spread of antibiotic resistance genes (ARGs) and subsequent soil-borne disease outbreaks are major threats to soil health and sustainable crop production. However, the relationship between occurrences of soil-borne diseases and the transmission of soil ARGs remains unclear. Here, soil ARGs, mobile genetic elements and microbial communities from co-located disease suppressive and conducive banana orchards were deciphered using metagenomics and metatranscriptomics approaches. In total, 23 ARG types, with 399 subtypes, were detected using a metagenomics approach, whereas 23 ARG types, with 452 subtypes, were discovered using a metatranscriptomics method. Furthermore, the metagenomics analysis revealed that the ARG total abundance levels were greater in rhizospheres (0.45 ARGs/16S rRNA on average) compared with bulk (0.32 ARGs/16S rRNA on average) soils. Interestingly, metatranscriptomics revealed that the total ARG abundances were greater in disease-conducive (8.85 ARGs/16S rRNA on average) soils than disease suppressive (1.45 ARGs/16S rRNA on average) soils. Mobile genetic elements showed the same trends as ARGs. Network and binning analyses indicated that Mycobacterium, Streptomyces, and Blastomonas are the main potential hosts of ARGs. Furthermore, Bacillus was significantly and negatively correlated with Fusarium (P < 0.05, r = -0.84) and hosts of ARGs (i.e., Mycobacterium, Streptomyces, and Blastomonas). By comparing metagenomic and metatranscriptomic analyses，this study demonstrated that metatranscriptomics may be more sensitive in indicating ARGs activities in soil. Our findings enable the more accurate assessment of the transmission risk of ARGs. The data provide a new perspective for recognizing soil health, in which soil-borne disease outbreaks appear to be associated with ARG spread, whereas beneficial microbe enrichment may mitigate wilt disease and ARG transmission.

Historical trajectories of antibiotics resistance genes assessed through sedimentary DNA analysis of a subtropical eutrophic lake

Investigating the occurrence of antibiotic-resistance genes (ARGs) in sedimentary archives provides opportunities for reconstructing the distribution and dissemination of historical (i.e., non-anthropogenic origin) ARGs. Although ARGs in freshwater environments have attracted great attention, historical variations in the diversity and abundance of ARGs over centuries to millennia remain largely unknown. In this study, we investigated the vertical change patterns of bacterial communities, ARGs and mobile genetic elements (MGEs) found in sediments of Lake Chenghai spanning the past 600 years. Within resistome preserved in sediments, 177 ARGs subtypes were found with aminoglycosides and multidrug resistance being the most abundant. The ARG abundance in the upper sediment layers (equivalent to the post-antibiotic era since the 1940s) was lower than those during the pre-antibiotic era, whereas the ARG diversity was higher during the post-antibiotic era, possibly because human-induced lake eutrophication over the recent decades facilitated the spread and proliferation of drug-resistant bacteria. Statistical analysis suggested that MGEs abundance and the bacterial community structure were significantly correlated with the abundance and diversity of ARGs, suggesting that the occurrence and distribution of ARGs may be transferred between different bacteria by MGEs. Our results provide new perspectives on the natural history of ARGs in freshwater environments and are essential for understanding the temporal dynamics and dissemination of ARGs.

Soil physical structure drives N-glycan mediated trophic interactions in soil amoebae: Mechanisms and environmental implications

Soil protozoa are an essential part of the terrestrial ecosystem, playing a vital role in the global element cycling and energy flow. However, one research gap is what are the key factors driving their diversity and environmental fates. In this study, we hypothesized that soil texture could affect soil protozoa's predation and their interactions with environmental pollutants, and we tested it by using a soil amoeba Dictyostelium discoideum as a model system. We found that soil texture affected amoeba's growth and development. In addition, environmental factors cannot explain the variation of amoeba's fitness in different soil textures. Soil sandy particles and water content rather than particle size contribute to amoeba's fitness. Furthermore, different soil textures induced distinct transcriptional responses to amoebae, especially N-glycan-related and multiple signaling pathways and the expression of key genes (e.g., Ras superfamily, cxgE, trap1). The expression of N-glycan-related pathways, which is positively correlated with amoeba predation, was inhibited in sand soil, decreasing amoeba's fitness. Finally, the results showed that soil texture also affects amoeba's interaction with environmental pollutants. In conclusion, this study shows that soil physical structures affect amoeba's interactions with bacteria and environmental pollutants. SYNOPSIS: Soil texture affects soil protozoa's growth and development and their interactions with environmental pollutants.