Huaqun Yin

Aridity threshold in controlling ecosystem nitrogen cycling in arid and semi-arid grasslands

Higher aridity and more extreme rainfall events in drylands are predicted due to climate change. Yet, it is unclear how changing precipitation regimes may affect nitrogen (N) cycling, especially in areas with extremely high aridity. Here we investigate soil N isotopic values (δ(15)N) along a 3,200 km aridity gradient and reveal a hump-shaped relationship between soil δ(15)N and aridity index (AI) with a threshold at AI=0.32. Variations of foliar δ(15)N, the abundance of nitrification and denitrification genes, and metabolic quotient along the gradient provide further evidence for the existence of this threshold. Data support the hypothesis that the increase of gaseous N loss is higher than the increase of net plant N accumulation with increasing AI below AI=0.32, while the opposite is favoured above this threshold. Our results highlight the importance of N-cycling microbes in extremely dry areas and suggest different controlling factors of N-cycling on either side of the threshold.

Abnormal DNA methylation in T cells from patients with subacute cutaneous lupus erythematosus

Background  Impaired methylation of T‐cell DNA is thought to contribute to the development of systemic lupus erythematosus. However, it is unknown whether T‐cell hypomethylation is a factor in other, less severe, forms of lupus erythematosus such as subacute cutaneous lupus erythematosus (SCLE).

Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession

The succession of microbial community structure and function is a central ecological topic, as microbes drive the Earth’s biogeochemical cycles. To elucidate the response and mechanistic underpinnings of soil microbial community structure and metabolic potential relevant to natural forest succession, we compared soil microbial communities from three adjacent natural forests: a coniferous forest (CF), a mixed broadleaf forest (MBF) and a deciduous broadleaf forest (DBF) on Shennongjia Mountain in central China. In contrary to plant communities, the microbial taxonomic diversity of the DBF was significantly (P < 0.05) higher than those of CF and MBF, rendering their microbial community compositions markedly different. Consistently, microbial functional diversity was also highest in the DBF. Furthermore, a network analysis of microbial carbon and nitrogen cycling genes showed the network for the DBF samples was relatively large and tight, revealing strong couplings between microbes. Soil temperature, reflective of climate regimes, was important in shaping microbial communities at both taxonomic and functional gene levels. As a first glimpse of both the taxonomic and functional compositions of soil microbial communities, our results suggest that microbial community structure and function potentials will be altered by future environmental changes, which have implications for forest succession.

The bioleaching feasibility for Pb/Zn smelting slag and community characteristics of indigenous moderate-thermophilic bacteria

The feasibility of recovering metal values and removing hazardous elements from the Pb/Zn smelting slag using bioleaching technique were studied through a flask experiment, and the community characteristics of the indigenous moderate-thermophilic bacteria in this bioleaching system were also analyzed through a culture-independent restriction fragment length polymorphism (RFLP) of 16S rRNA genes approach. The results show that more than 80% of Al, As, Cu, Mn, Fe and Zn in the Pb/Zn smelting slag were leached at 65(o)C, pH 1.5, pulp density 5%, but only about 5% of Pb. Phylogenetic analysis revealed that the bacteria in the bioleaching system mainly fell among Firmicutes, Gammaproteobacteria and Betaproteobacteria, and the dominant bacteria are affiliated with Bacillus spp., Sporosarcina spp. and Pseudomonas spp.

Aberrant expression pattern of histone acetylation modifiers and mitigation of lupus by SIRT1-siRNA in MRL/lpr mice

Objective: Aberrant histone acetylation is implicated in the epigenetic mechanism of lupus. In this study, we investigated the role of the enzymes that catalyse histone acetylation or deacetylation, in particular the histone deacetylase (HDAC) SIRT1, in lupus pathogenesis using a lupus mouse model. Methods: Samples from 10 MRL/lpr mice and 10 MRL/MPJ wild-type mice, both female and 18 weeks old, were studied to determine the differential expression of three histone acetyltransferases (HATs) and six HDACs. Then, 18 female MRL/lpr mice, all 18 weeks old, received tail vein injections of SIRT1-siRNA or control treatments, and were killed 24 h, 5 days, or 10 days later. Urine protein and serum anti-nuclear antibody (ANA) and anti-dsDNA antibody levels were measured. SIRT1 expression and histone acetylation levels were determined in splenic CD4+ T cells. Renal pathology and renal immunoglobulin (Ig)G deposition were scored. Results: The transcription of P300, PCAF, and HDAC7 decreased, while SIRT1 expression increased in CD4+ T cells of MRL/lpr mice, compared to MRL/MPJ mice. After administration of SIRT1-siRNA into the MRL/lpr mice, SIRT1 expression was suppressed and global histone H3 and H4 acetylation levels were elevated transiently in CD4+ T cells. Moreover, serum anti-dsDNA antibody level, renal IgG deposition, and renal pathological scores, particularly tubulointerstitial scores, decreased significantly. Urine protein and serum ANA levels did not change significantly. Conclusion: An aberrant expression pattern of HATs and HDACs exists in CD4+ T cells of MRL/lpr mice, among which SIRT1 overexpression is implicated in lupus pathogenesis and SIRT1-siRNA mitigates the damage of lupus in vivo in MRL/lpr mice.

An integrated insight into the response of sedimentary microbial communities to heavy metal contamination

Response of biological communities to environmental stresses is a critical issue in ecology, but how microbial communities shift across heavy metal gradients remain unclear. To explore the microbial response to heavy metal contamination (e.g., Cr, Mn, Zn), the composition, structure and functional potential of sedimentary microbial community were investigated by sequencing of 16S rRNA gene amplicons and a functional gene microarray. Analysis of 16S rRNA sequences revealed that the composition and structure of sedimentary microbial communities changed significantly across a gradient of heavy metal contamination, and the relative abundances were higher for Firmicutes, Chloroflexi and Crenarchaeota, but lower for Proteobacteria and Actinobacteria in highly contaminated samples. Also, molecular ecological network analysis of sequencing data indicated that their possible interactions might be enhanced in highly contaminated communities. Correspondently, key functional genes involved in metal homeostasis (e.g., chrR, metC, merB), carbon metabolism, and organic remediation showed a higher abundance in highly contaminated samples, indicating that bacterial communities in contaminated areas may modulate their energy consumption and organic remediation ability. This study indicated that the sedimentary indigenous microbial community may shift the composition and structure as well as function priority and interaction network to increase their adaptability and/or resistance to environmental contamination.

Whole-genome sequencing reveals novel insights into sulfur oxidation in the extremophile Acidithiobacillus thiooxidans

BackgroundAcidithiobacillus thiooxidans (A. thiooxidans), a chemolithoautotrophic extremophile, is widely used in the industrial recovery of copper (bioleaching or biomining). The organism grows and survives by autotrophically utilizing energy derived from the oxidation of elemental sulfur and reduced inorganic sulfur compounds (RISCs). However, the lack of genetic manipulation systems has restricted our exploration of its physiology. With the development of high-throughput sequencing technology, the whole genome sequence analysis of A. thiooxidans has allowed preliminary models to be built for genes/enzymes involved in key energy pathways like sulfur oxidation.ResultsThe genome of A. thiooxidans A01 was sequenced and annotated. It contains key sulfur oxidation enzymes involved in the oxidation of elemental sulfur and RISCs, such as sulfur dioxygenase (SDO), sulfide quinone reductase (SQR), thiosulfate:quinone oxidoreductase (TQO), tetrathionate hydrolase (TetH), sulfur oxidizing protein (Sox) system and their associated electron transport components. Also, the sulfur oxygenase reductase (SOR) gene was detected in the draft genome sequence of A. thiooxidans A01, and multiple sequence alignment was performed to explore the function of groups of related protein sequences. In addition, another putative pathway was found in the cytoplasm of A. thiooxidans, which catalyzes sulfite to sulfate as the final product by phosphoadenosine phosphosulfate (PAPS) reductase and adenylylsulfate (APS) kinase. This differs from its closest relative Acidithiobacillus caldus, which is performed by sulfate adenylyltransferase (SAT). Furthermore, real-time quantitative PCR analysis showed that most of sulfur oxidation genes were more strongly expressed in the S0 medium than that in the Na2S2O3 medium at the mid-log phase.ConclusionSulfur oxidation model of A. thiooxidans A01 has been constructed based on previous studies from other sulfur oxidizing strains and its genome sequence analyses, providing insights into our understanding of its physiology and further analysis of potential functions of key sulfur oxidation genes.

Shifts of tundra bacterial and archaeal communities along a permafrost thaw gradient in Alaska

Understanding the response of permafrost microbial communities to climate warming is crucial for evaluating ecosystem feedbacks to global change. This study investigated soil bacterial and archaeal communities by Illumina MiSeq sequencing of 16S rRNA gene amplicons across a permafrost thaw gradient at different depths in Alaska with thaw progression for over three decades. Over 4.6 million passing 16S rRNA gene sequences were obtained from a total of 97 samples, corresponding to 61 known classes and 470 genera. Soil depth and the associated soil physical–chemical properties had predominant impacts on the diversity and composition of the microbial communities. Both richness and evenness of the microbial communities decreased with soil depth. Acidobacteria, Verrucomicrobia, Alpha‐ and Gamma‐Proteobacteria dominated the microbial communities in the upper horizon, whereas abundances of Bacteroidetes, Delta‐Proteobacteria and Firmicutes increased towards deeper soils. Effects of thaw progression were absent in microbial communities in the near‐surface organic soil, probably due to greater temperature variation. Thaw progression decreased the abundances of the majority of the associated taxa in the lower organic soil, but increased the abundances of those in the mineral soil, including groups potentially involved in recalcitrant C degradation (Actinomycetales, Chitinophaga, etc.). The changes in microbial communities may be related to altered soil C sources by thaw progression. Collectively, this study revealed different impacts of thaw in the organic and mineral horizons and suggests the importance of studying both the upper and deeper soils while evaluating microbial responses to permafrost thaw.

Bacterial diversity based on 16S rRNA and gyrB genes at Yinshan mine, China

The diversity of bacterial communities at three sites impacted by acid mine drainage (AMD) from the Yinshan Mine in China was studied using comparative sequence analysis of two molecular markers, the 16S rRNA and gyrB genes. The phylogenetic analyses retrieved sequences from six classes of bacteria, Nitrospira, Alphaproteobacteria, Gammaproteobacteria, Deltaproteobacteria, Acidobacteria, and Actinobacteria, as well as sequences related to the plastid of the cyanobacterium Cyanidium acidocaldarium and also some unknown bacteria. The results of phylogenetic analyses based on gyrB and 16S rRNA were compared. This confirmed that gyrB gene analysis may be a useful tool, in addition to the comparative sequence analysis of the 16S rRNA gene, for the analysis of microbial community compositions. Moreover, the Mantel test showed that the geochemical characteristics, especially the pH value and the concentration of iron, strongly influenced the composition of the microbial communities.

Molecular diversity of 16S rRNA and gyrB genes in copper mines

The molecular diversities of the microbial communities from four sites impacted by acid mine drainage (AMD) at Dexing Copper Mine in Jiangxi province of China were studied using 16S rRNA sequences and gyrB sequences. Of the four sampled sites, each habitat exhibited distinct geochemical characteristics and the sites were linked geographically allowing us to correlate microbial community structure to geochemical characteristics. In the present study, we examined the molecular diversity of 16S rRNA and gyrB genes from water at these sites using a PCR-based cloning approach. We found that the microbial community appears to be composed primarily of Proteobacteria, Acidobacteria, Actinobacteria, Nitrospira, Firmicutes, Chlorella and unknown phylotypes. Of clones affiliated with Nitrospira, Leptospirillum ferrooxidans, Leptospirillum ferriphilum and Leptospirillum group III were all detected. Principal-component analysis (PCA) revealed that the distribution of the microbial communities was influenced greatly by geochemical characteristics. The overall PCA profiles showed that the sites with similar geochemical characteristics had more similar microbial community structures. Moreover, our results also indicated that gyrB sequence analysis may be very useful for differentiating very closely related species in the study of microbial communities.