Metagenome-based analysis of carbon-fixing microorganisms and their carbon-fixing pathways in deep-sea sediments of the southwestern Indian Ocean

Profiling heavy metals distribution in surface sediments from the perspective of coastal industrial structure and their impacts on bacterial communities

Heavy metal pollution of marine sediments along the coastal industrial parks have always received extensive attention due to their persistent hazard to local marine ecosystem. Despite this, our knowledge about the influence of geography and coastal industrial structures on heavy metal distributions remains little. In this study, surface sediment samples were collected from the coastal zone of the industrial park in Ningbo. The physicochemical properties, heavy metals with ecological risk levels and bacterial structures as well as their relationships in these sediments were comprehensively analyzed. We found that: heavy metal concentrations of surface sediment revealed wide variation between this study sea area and other coastal economic areas; increasing attention should be paid to the Cu, Hg, Cd and As pollution due to their high contamination degree and environment risk; the distribution of heavy metals is closely related to the geographic location and nearshore industrial structures; the physicochemical features (e.g., TN, PHCs and pH) of sediments could better explain the occurrence characteristics of heavy metals present; individual metals (Cu and Cr) significantly affected the bacterial α-diversity; Cr inhibits multiple functional pathways associated with energy metabolism and pollutant degradation; RDA analysis and co-occurrence network confirmed that several heavy metals (especially Zn, Cr, Cu and Cd) exhibited large effects on bacterial community structure; moreover, genera Idiomarina Sulfurovum and Sulfurimonas could be used as biological indicators for specific heavy metals contamination in our study. Our findings provide a novel insight to understand the heavy metal distribution and bacterial variation associated with industrial activities.

Bacterial community composition and metabolic characteristics of three representative marine areas in northern China

Bacteria are essential components of ecosystems, participating in nutrient cycling and biogeochemical processes, and playing a crucial role in maintaining the stability of marine ecosystems. However, the biogeographic distribution patterns of bacterial diversity and metabolic functions in the estuarine and coastal areas of northern China remain unclear. Here, we used metagenomic sequencing to investigate the bacterial community composition and metabolic functions in sediments from the adjacent waters of the Yellow River Estuary, the Yellow Sea Cold Water Mass, and the adjacent waters of the Yangtze River Estuary. Among the 9164 species that were found, the most dominant microbial communities are Pseudomonadota, Actinomycetota, Bacteroidota, and Bacillota, but there are significant differences in the species composition in these three typical habitats. Amino acid metabolism and carbohydrate metabolic pathways were highly enriched. Glycoside hydrolases (GHs) predominate in carbon metabolism across all samples. In nitrogen metabolic pathway, genes related to organic degradation and synthesis are more abundant in the Yellow River Estuary than the other two habitats. In sulfur metabolic pathway, genes involved in assimilatory sulfate reduction are significantly enriched. Assimilatory sulfate reduction might be crucial for sulfur metabolism in coastal regions, with a full assimilatory nitrate reduction pathway found in Desulfobacterota. This research offers insights into the compositional diversity, metabolic functions, and biogeographic distribution patterns of bacterial communities in sediments from typical marine areas of northern China.

Heterologous Expression and Functional Verification of Extracellular Carbonic Anhydrases in Bacillus safensis yw6 from Mariana Trench

The exploration and exploitation of deep-sea microbial resources is of great scientific value for understanding biological evolution under extreme conditions. Deep-sea microorganisms are critical in the ocean carbon cycle, and marine heterotrophic microorganisms secrete extracellular carbonic anhydrase (CA) to fix inorganic carbon, an important process in climate regulation. Extracellular CA provides a green method for fixing carbon dioxide into stable minerals containing Ca2+. However, studies on extracellular CA in deep-sea microorganisms are limited. In this study, Bacillus safensis yw6 was isolated from Mariana Trench sediments and three candidate extracellular CA genes (β-ca1, β-ca2, and γ-ca) were identified by whole genome sequencing. Bioinformatics analyses showed that these CAs have different structural compositions, with the β-CA having α-helix and random coiling, whereas the γ-CA has more random coiling and stretched strands. Heterologous expression in E. coli BL21 (DE3) showed that β-CA2 had the highest enzyme activity, followed by γ-CA and β-CA1. Field emission scanning electron microscopy (FESEM) observations showed that the engineered strains with β-ca2 genes produced deposits that were like those from natural sources. This finding not only provides new perspectives for the utilization of deep-sea microbial resources, but also provides an important scientific basis for the molecular mechanisms of extracellular CAs of deep-sea microbes.

Effects of manure and nitrogen fertilization on soil microbial carbon fixation genes and associated communities in the Loess Plateau of China

The effects of long-term fertilization on soil carbon (C) cycling have been a key focus of agricultural sustainable development research. However, the influences of different fertilization treatments on soil microbial C fixation profiles are still unclear. Metagenomics technology and multivariate analysis were employed to inquire changes in soil properties, soil microbial C fixation genes and associated bacterial communities, and the influence of dominant soil properties on C fixation genes. The contents of soil C and nitrogen fractions were signicficantly higher in manure or combined with nitrogen fertilization (NM) than other treatments. The composition of soil microbial C fixation genes and associated bacterial communities varied among different fertilization treatments. Compared with other treatments, the total abundance of microbial C fixation genes and the abundance of Proteobacteria were significantly higher in NM than in other treatments, as well as the abundances of C fixation genes involved in dicarboxylate/4-hydroxybutyrate cycle and reductive citrate cycle. Key functional genes and main bacterial communities presented in the middle of the co-occurrence network. Soil organic carbon, total nitrogen, and microbial biomass nitrogen were the dominant soil properties influencing microbial C fixation genes and associated bacterial communitis. Fertilization increased the abundance of C fixation genes by affecting the changes in bacterial communities abundance mediated by soil properties. Overall, elucidating the responses of soil microbial C fixation genes and associated communities to different fertilization will enhance our understanding of the processes of soil C fixation in farmland.

The hidden acceleration pump uncovers the role of shellfish in oceanic carbon sequestration

Whether shellfish mariculture should be included in the blue carbon profile as a strategy to combat climate change has been controversial. It is highly demanding not only to provide calibration quantitation, but also to provide an ecosystem-based mechanism. In this study, we chose mussel farms as a case study to evaluate their contributions to carbon sinks and their responses to sedimentary carbon fixation and sequestration. First, we quantified the air-sea CO2 flux in the mussel aquacultural zone and observed a weak carbon sink (-0.15 ± 0.07 mmol·m-2·d-1) during spring. Next, by analyzing the carbon composition in the sediment, we recorded a noticeable and unexpected increase in the sedimentary recalcitrant carbon (RC) content in the mussel farming case. To address this surprising sedimentary phenomenon, a long-term indoor experimental test was conducted to distinguish the consequences of mussel engagement with sedimentary RC. Our observational data support the idea that mussel engagement promotes accumulation of RC in sediments by 2.5-fold. Furthermore, the relative intensity of carboxylic-rich alicyclic molecule (CRAM)-like compounds (recalcitrant dissolved organic matter (RDOM)) increased by 451.4 % in the mussel-engaged sedimentary dissolved organic matter (DOM) in comparison to the initial state. Mussel engagement had a significantly positive effect on the abundance of sedimentary carbon-fixing genes. Therefore, we definitively conclude that mussel farming is blue carbon positive and propose a new alternative theory that mussel farming areas may have high carbon sequestration potential via an ecologically integrated "3 M" (microalgae-mussel-microbiota) consortium. The "mussel pump" accelerates carbon sequestration and enhances climate-related ecosystem services.

Thanos: An R Package for the Gene-Centric Analysis of Functional Potential in Metagenomic Samples

As the amount of metagenomic sequencing continues to increase, there is a growing need for tools that help biologists make sense of the data. Specifically, researchers are often interested in the potential of a microbial community to carry out a metabolic reaction, but this analysis requires knitting together multiple software tools into a complex pipeline. Thanos offers a user-friendly R package designed for the pathway-centric analysis and visualization of the functions encoded within metagenomic samples. It allows researchers to go beyond taxonomic profiles and find out, quantitatively, which pathways are prevalent in an environment, as well as comparing different environments in terms of their functional potential. The analysis is based on the sequencing depth of the genes of interest, either in the metagenome-assembled genomes (MAGs) or in the assembled reads (contigs), using a normalization strategy that enables comparison across samples. The package can import the data from multiple formats and offers functions for the visualization of the results as bar plots of the functional profile, box plots of compare functions across samples, and annotated pathway graphs. By streamlining the analysis of the functional potential encoded in microbial communities, Thanos can enable impactful discoveries in all the fields touched by metagenomics, from human health to the environmental sciences.

Illuminated fulvic acid stimulates denitrification and As(III) immobilization in flooded paddy soils via an enhanced biophotoelectrochemical pathway

Fulvic acid (FA) is a representative photosensitive dissolved organic matter (DOM) compound that occurs naturally in paddy soils. In this study, the effect of a FA + nitrate treatment (0, 4 and 8 mg/L FA + 20 mmol/L nitrate) on denitrification and As(III) immobilization in flooded paddy soils was assessed under dark and intermittently illuminated conditions (12 h light+12 h dark). The FA input stimulated denitrification in illuminated soils (~100 % of nitrate removal within 6 days) compared to dark conditions (~92 % nitrate removal after 6 days). Meanwhile, As(III) (initial concentration of 0.1 mmol/L) was nearly completely immobilized (~100 %) under illuminated conditions after 4 days for the FA + nitrate treatment compared to 90- 93 % retention in the dark. Denitrification and As immobilization were positively related to the FA dosage in the illuminated assays. The stronger denitrification in illuminated soils was ascribed to denitrifiers harvesting photoelectrons from photosensitive substrates/semiconducting minerals. FA addition also increased the activities of denitrifying enzymes (e.g., NAR, NIR and NOR) and the denitrification electron transport system by nearly 0.6-0.7 and 1.5-1.8 times that of the nitrate-alone treatment under illuminated and dark conditions, thereby fostering stronger denitrification. Upon irradiation, As(III) immobilization was not only stimulated by the interactions with the denitrification pathway whereby As(III) acts as an electron donor for denitrifiers, but was also modulated by Fe(III)/oxidative reactive species-derived photooxidation of As(III). Moreover, the FA + nitrate treatment promoted the enrichment of metal-oxidizing bacteria (e.g., Stenotrophomonas and Acidovorax) that are responsible for nitrate-dependent As(III)/Fe(II) oxidation. The results of this study enhance our understanding of interactions among the biogeochemical cycles of As, Fe, N and C, which are intricately linked by a biophotoelectrochemical pathway in flooded paddy soils.

Unveiling the crucial role of soil microorganisms in carbon cycling: A review

Soil microorganisms, by actively participating in the decomposition and transformation of organic matter through diverse metabolic pathways, play a pivotal role in carbon cycling within soil systems and contribute to the stabilization of organic carbon, thereby influencing soil carbon storage and turnover. Investigating the processes, mechanisms, and driving factors of soil microbial carbon cycling is crucial for understanding the functionality of terrestrial carbon sinks and effectively addressing climate change. This review comprehensively discusses the role of soil microorganisms in soil carbon cycling from three perspectives: metabolic pathways, microbial communities, and environmental influences. It elucidates the roles of different microbial species in carbon cycling and highlights the impact of microbial interactions and environmental factors on carbon cycling. Through the synthesis of 2171 relevant papers in the Web of Science Core database, we elucidated the ecological community structure, activity, and assembly mechanisms of soil microorganisms crucial to the soil carbon cycle that have been widely analyzed. The integration of soil microbial carbon cycle and its driving factors are vital for accurately predicting and modeling biogeochemical cycles and effectively addressing the challenges posed by global climate change. Such integration is vital for accurately predicting and modeling biogeochemical cycles and effectively addressing the challenges posed by global climate change.