Genome announcement of Steinernema khuongi and its associated symbiont from Florida

Molecular identification of a peroxidase gene controlling body size in the entomopathogenic nematode Steinernema hermaphroditum

The entomopathogenic nematode Steinernema hermaphroditum was recently rediscovered and is being developed as a genetically tractable experimental system for the study of previously unexplored biology, including parasitism of its insect hosts and mutualism with its bacterial endosymbiont Xenorhabdus griffiniae. Through whole-genome re-sequencing and genetic mapping we have for the first time molecularly identified the gene responsible for a mutationally defined phenotypic locus in an entomopathogenic nematode. In the process we observed an unexpected mutational spectrum following ethyl methansulfonate mutagenesis in this species. We find that the ortholog of the essential Caenorhabditis elegans peroxidase gene skpo-2 controls body size and shape in S. hermaphroditum. We confirmed this identification by generating additional loss-of-function mutations in the gene using CRISPR-Cas9. We propose that the identification of skpo-2 will accelerate gene targeting in other Steinernema entomopathogenic nematodes used commercially in pest control, as skpo-2 is X-linked and males hemizygous for loss of its function can mate, making skpo-2 an easily recognized and maintained marker for use in co-CRISPR.

Exploring antibiotic resistance genes, mobile gene elements, and virulence gene factors in an urban freshwater samples using metagenomic analysis

Antibiotic resistance genes (ARGs) and antimicrobial resistance elements (AMR) are novel environmental contaminants that pose a significant risk to human health globally. Freshwater contains a variety of microorganisms that might affect human health; its quality must be assessed before use. However, the dynamics of mobile genetic elements (MGEs) and ARG propagation in freshwater have rarely been studied in Singapore. Therefore, this study used metagenomics to compare diversity, virulence factor composition, and ARG and MGE co-occurrence with bacterial communities in paired (n = 8) environmental freshwater samples. KneadData, FMAP, and Kraken2 were used for bioinformatics analysis and R (v4.1.1) for statistical analysis. Sequence reads with a total of 9043 species were taxonomically classified into 66 phyla, 130 classes, 261 orders, 584 families, and 2477 genera. Proteobacteria, Bacteroidetes, Actinobacteria, and Firmicutes were found the Phyla in all samples. Analysis of QIIME output by PICRUSt and ß-diversity showed unique clusters and functional microbial community structures. A total of 2961 ARGs were found that conferred resistance to multidrug, aminoglycosides, tetracyclines, elfamycins, and more. The classified ARG mechanism revealed significant distribution of virulence factors in bacterial cells. Transposes and transposon were highly correlated to ARG gene transfer. Co-occurrence network analysis showed several MGEs appear to use the same ARGs (intI and rho) and were dominant in all samples. Furthermore, ARGs are also highly correlated with bacteria like Campylobacter and Escherichia. This study enhances the understanding of antibiotic risk assessment and provides a new perspective on bacterial assembly contamination and the functional prevalence of ARGs and MGEs with antibiotic resistance bacteria. Moreover, it raises public awareness because these contaminants put people's lives at risk of acquiring bacterial infections. In addition, it can also help propose hybrid water treatment approaches.

Nematode genome announcement: The draft genome sequence of entomopathogenic nematode Heterorhabditis indica

Heterorhabditis indica is one of the most widely used entomopathogenic nematodes for the biological control of agricultural insect pests worldwide. The draft genome of H. indica was sequenced using three genomic libraries of 300 bp, 600 bp and 5 kb sizes by Illumina HiSeq platform. The size of the draft genome assembly was 91.26 Mb, comprising 3,538 scaffolds. Genome completeness analysis by BUSCO (Benchmarking Universal Single-Copy Orthologs) showed 84% complete, and 6.5% fragmented BUSCOs. Further, 10,494 protein-coding genes were predicted. The H. indica draft genome will enable comparative and functional genomic studies in Heterorhabditis nematodes.