CyanoStrainChip: A Novel DNA Microarray Tool for High-Throughput Detection of Environmental Cyanobacteria at the Strain Level.

Detecting cyanobacteria in environments is an important concern due to their crucial roles in ecosystems, and they can form blooms with the potential to harm humans and nonhuman entities. However, the most widely used methods for high-throughput detection of environmental cyanobacteria, such as 16S rRNA sequencing, typically provide above-species-level resolution, thereby disregarding intraspecific variation. To address this, we developed a novel DNA microarray tool, termed the CyanoStrainChip, that enables strain-level comprehensive profiling of environmental cyanobacteria. The CyanoStrainChip was designed to target 1277 strains; nearly all major groups of cyanobacteria are included by implementing 43,666 genome-wide, strain-specific probes. It demonstrated strong specificity by in vitro mock community experiments. The high correlation (Pearson's R > 0.97) between probe fluorescence intensities and the corresponding DNA amounts (ranging from 1-100 ng) indicated excellent quantitative capability. Consistent cyanobacterial profiles of field samples were observed by both the CyanoStrainChip and next-generation sequencing methods. Furthermore, CyanoStrainChip analysis of surface water samples in Lake Chaohu uncovered a high intraspecific variation of abundance change within the genus Microcystis between different severity levels of cyanobacterial blooms, highlighting two toxic Microcystis strains that are of critical concern for Lake Chaohu harmful blooms suppression. Overall, these results suggest a potential for CyanoStrainChip as a valuable tool for cyanobacterial ecological research and harmful bloom monitoring to supplement existing techniques.

Field comparison of the effectiveness of agricultural and nonagricultural organic wastes for aided phytostabilization of a Pb-Zn mine tailings pond in Hunan Province, China.

To date, very few attempts have been made to systematically compare the effectiveness of agricultural and nonagricultural organic wastes for aided phytostabilization of mine tailings under field conditions. In this study, we performed a field trial to compare the effectiveness of three agricultural organic wastes: chicken manure (CM), crop straw (CS), and spent mushroom compost (SMC), with that of three nonagricultural organic wastes, municipal sludge (MS), medicinal herb residues (MHR), and sweet sorghum vinasse (SSV) for aided phytostabilization of a Pb-Zn mine tailings pond in Hunan Province, China. Eight plant species naturally established in the vicinity of the mine were selected and seeded onto trial plots. It was found that the CM-amended plots had the highest (p < 0.05) vegetation cover (86%) and biomass production (881 g m-2), compared to other treatments. CM was also one of the best amendments in terms of improving soil nutrient status, increasing activities of soil enzymes, and immobilizing soil Pb. In addition, CM-amended plots were characterized by their higher microbial diversity and distinct microbial community structure as compared to the control plots. MS was the second best amendment in promoting vegetation cover (71%) and biomass production (461 g m-2), and it performed as well as CM for improving nutrient status, immobilizing heavy metals, and increasing the activities of enzymes in the mine tailings. Suggestions for further lines of research are made in order to develop future investigations.

The effects of phylogenetic relatedness on invasion success and impact: deconstructing Darwin's naturalisation conundrum.

Darwin's naturalisation conundrum describes the paradox that the relatedness of exotic species to native residents could either promote or hinder their success through opposing mechanisms: niche pre-adaptation or competitive interactions. Previous studies focusing on single snapshots of invasion patterns have provided support to both sides of the conundrum. Here, by examining invasion dynamics of 480 plots over 40 years, we show that exotic species more closely related to native species were more likely to enter, establish and dominate the resident communities, and that native residents more closely related to these successful exotics were more likely to go locally extinct. Therefore, non-random displacement of natives during invasion could weaken or even reverse the negative effects of exotic-native phylogenetic distances on invasion success. The scenario that exotics more closely related to native residents are more successful, but tend to eliminate their closely related natives, may help to reconcile the 150-year-old conundrum.

Microbial community structure and function in sediments from e-waste contaminated rivers at Guiyu area of China.

The release of toxic organic pollutants and heavy metals by primitive electronic waste (e-waste) processing to waterways has raised significant concerns, but little is known about their potential ecological effects on aquatic biota especially microorganisms. We characterized the microbial community composition and diversity in sediments sampled along two rivers consistently polluted by e-waste, and explored how community functions may respond to the complex combined pollution. High-throughput 16S rRNA gene sequencing showed that Proteobacteria (particularly Deltaproteobacteria) dominated the sediment microbial assemblages followed by Bacteroidetes, Acidobacteria, Chloroflexi and Firmicutes. PICRUSt metagenome inference provided an initial insight into the metabolic potentials of these e-waste affected communities, speculating that organic pollutants degradation in the sediment might be mainly performed by some of the dominant genera (such as Sulfuricurvum, Thiobacillus and Burkholderia) detected in situ. Statistical analyses revealed that toxic organic compounds contributed more to the observed variations in sediment microbial community structure and predicted functions (24.68% and 8.89%, respectively) than heavy metals (12.18% and 4.68%), and Benzo(a)pyrene, bioavailable lead and electrical conductivity were the key contributors. These results have shed light on the microbial assemblages in e-waste contaminated river sediments, indicating a potential influence of e-waste pollution on the microbial community structure and function in aquatic ecosystems.

Fine-scale spatial patterns in microbial community composition in an acid mine drainage.

Microbial community composition is essential for aquatic ecosystem functions and has been explored across diverse environments and various spatial scales. However, documented patterns are often based on samples from spatially/geographically separated locations or sites. Here, we define sampling volume as spatial scale and examine (by Illumina 16S rRNA sequencing) microbial community composition over a scale of 1 mL to 10 L in an acid mine drainage. ß-Diversity analysis revealed that all samples grouped very tightly according to spatial scales and variations between every two scales were significant. Notably, mean ß-diversity within each group was negatively correlated with spatial scales, indicating patchy microbial distribution. Partition of ß-diversity further revealed that it was the relative abundances of some microbial taxa that largely changed among spatial scales. Phylogenetic analysis showed that microbial lineages were not randomly distributed, but displayed a tendency of more phylogenetically clustering at smaller spatial scales. Thus, we documented fine-scale spatial patterns in microbial community composition within a continuous aquatic environment, which may have practical implications for adequate sampling of aquatic systems in future studies.