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Background: Chikungunya cases was reported to be on the rise in Malaysia from 2019 to 2021. Although potential endemicity was described previously, genotype shift during 2008 outbreak originating from the 2004 Indian Ocean Islands outbreak presents the probability of current CHIKV spread from neighboring countries. This is due to the prevalence of the new IOL sub-lineage which consists of E1-226A wildtype or reverted strains that are circulating in the Indian subcontinent before spreading to neighboring Thailand during 2018–2019 outbreak. Method: In this study, samples received mostly from the Tangkak, Johor were analyzed. A total 56 CHIKV positive serum samples received in 2021 by Institute of Medical Research Malaysia (IMR), were collected based on sample selection criteria. Selected samples were subjected to total RNA extraction, whole-genome sequencing as well as bioinformatic analysis such as phylogenetic, variant and mutation analysis. Results: Based on the genomic and phylogenetic analysis, the CHIKV samples from 2021 outbreak were of ECSA-IOL genotype. Genome similarity analysis also revealed that these CHIKVs were highly similar to 2018–2019 outbreak strain from Thailand. In comparison to the 2008 outbreak CHIKV isolate, the current CHIKVs lacked the E1-A226V mutation and harbored the new E1-K211E/E2-V264A sub-linage mutation. Since the E1-K211E/E2-V264A mutation facilitates adaptation to Ae. aegypti as opposed to the E1-A226V mutation which improves adaptation to Ae. albopictus, the emergence 2021 CHIKV outbreak in Malaysia can be postulated due to vector shift. Interestingly, a novel nsP3-T441A/V mutation detected in this study, may also play a role in virus transmission, pathogenicity, fitness and vector adaptation. Conclusion: In summary, the current CHIKV outbreak are strains originated from the Indian subcontinent through Thailand which may have capitalized on vector shifting by adapting to Ae. aegypti. The presence of novel nsP3-T441A/V mutation may also contribute to the spread of this virus across peninsular Malaysia. [ABSTRACT FROM AUTHOR]

Abstract Background Chikungunya cases was reported to be on the rise in Malaysia from 2019 to 2021. Although potential endemicity was described previously, genotype shift during 2008 outbreak originating from the 2004 Indian Ocean Islands outbreak presents the probability of current CHIKV spread from neighboring countries. This is due to the prevalence of the new IOL sub-lineage which consists of E1-226A wildtype or reverted strains that are circulating in the Indian subcontinent before spreading to neighboring Thailand during 2018–2019 outbreak. Method In this study, samples received mostly from the Tangkak, Johor were analyzed. A total 56 CHIKV positive serum samples received in 2021 by Institute of Medical Research Malaysia (IMR), were collected based on sample selection criteria. Selected samples were subjected to total RNA extraction, whole-genome sequencing as well as bioinformatic analysis such as phylogenetic, variant and mutation analysis. Results Based on the genomic and phylogenetic analysis, the CHIKV samples from 2021 outbreak were of ECSA-IOL genotype. Genome similarity analysis also revealed that these CHIKVs were highly similar to 2018–2019 outbreak strain from Thailand. In comparison to the 2008 outbreak CHIKV isolate, the current CHIKVs lacked the E1-A226V mutation and harbored the new E1-K211E/E2-V264A sub-linage mutation. Since the E1-K211E/E2-V264A mutation facilitates adaptation to Ae. aegypti as opposed to the E1-A226V mutation which improves adaptation to Ae. albopictus, the emergence 2021 CHIKV outbreak in Malaysia can be postulated due to vector shift. Interestingly, a novel nsP3-T441A/V mutation detected in this study, may also play a role in virus transmission, pathogenicity, fitness and vector adaptation. Conclusion In summary, the current CHIKV outbreak are strains originated from the Indian subcontinent through Thailand which may have capitalized on vector shifting by adapting to Ae. aegypti. The presence of novel nsP3-T441A/V mutation may also contribute to the spread of this virus across peninsular Malaysia.

Abstract Background Respiratory Syncytial Virus (RSV) disease in young children ranges from mild cold symptoms to severe symptoms that require hospitalization and sometimes result in death. Studies have shown a statistical association between RSV subtype or phylogenic lineage and RSV disease severity, although these results have been inconsistent. Associations between variation within RSV gene coding regions or residues and RSV disease severity has been largely unexplored. Methods Nasal swabs from children (

Background: Respiratory Syncytial Virus (RSV) disease in young children ranges from mild cold symptoms to severe symptoms that require hospitalization and sometimes result in death. Studies have shown a statistical association between RSV subtype or phylogenic lineage and RSV disease severity, although these results have been inconsistent. Associations between variation within RSV gene coding regions or residues and RSV disease severity has been largely unexplored. Methods: Nasal swabs from children (< 8 months-old) infected with RSV in Rochester, NY between 1977–1998 clinically presenting with either mild or severe disease during their first cold-season were used. Whole-genome RSV sequences were obtained using overlapping PCR and next-generation sequencing. Both whole-genome phylogenetic and non-phylogenetic statistical approaches were performed to associate RSV genotype with disease severity. Results: The RSVB subtype was statistically associated with disease severity. A significant association between phylogenetic clustering of mild/severe traits and disease severity was also found. GA1 clade sequences were associated with severe disease while GB1 was significantly associated with mild disease. Both G and M2-2 gene variation was significantly associated with disease severity. We identified 16 residues in the G gene and 3 in the M2-2 RSV gene associated with disease severity. Conclusion: These results suggest that phylogenetic lineage and the genetic variability in G or M2-2 genes of RSV may contribute to disease severity in young children undergoing their first infection. [ABSTRACT FROM AUTHOR]

The harbour porpoise (Phocoena phocoena), a highly mobile cetacean species of the Northern Hemisphere, inhabits basins that vary broadly in salinity, temperature, and food availability; such variation can drive divergent adaptation among local populations. To shed light on range-wide population structure and local adaptation, we generated ddRAD sequencing data spanning the entire North Atlantic and the Baltic Sea, as well as the Black Sea as an outgroup, and mapped this data to the high-quality draft genome of the species. We identified 11,978 genome-wide SNPs from 150 individuals, which we used for population genetic inferences. Our results support genetic differentiation between North Atlantic and Baltic Sea populations, with Kattegat as a transition zone. Across the North Atlantic the population differentiation is subtle from west to east, congruent with an isolation-by-distance pattern, but indicates a separation of southern North Sea harbour porpoises. We identified genomic outlier regions, i.e., scaffold regions where SNPs with high FST across North Atlantic populations co-occur. Together with the draft genome annotation, these regions could point towards candidate genes for differential local adaptation processes among populations. Furthermore, they enable the development of a SNP panel for routine population assignment which will be useful in a conservation and management context. We identified six outlier loci putatively under positive selection, based on the population structure inferred from the complete SNP set. Our study highlights the value of genome resources in conservation and management and provides a crucial additional resource for the study of harbour porpoise evolution and phylogeny. [ABSTRACT FROM AUTHOR]

Wickerhamiella is a genus of budding yeast that is mainly isolated from environmental samples, and 40 species have been detected. The yeast isolated from human clinical samples usually only contain three species: W. infanticola, W. pararugosa and W. sorbophila. In this study, we isolated W. tropicalis from a blood sample of a six-year-old female with a history of B-cell precursor lymphoblastic leukemia in Japan in 2022. Though the strain was morphologically identified as Candida species by routine microbiological examinations, it was subsequently identified as W. tropicalis by sequencing the internal transcribed spacer (ITS) of ribosomal DNA (rDNA). The isolate had amino acid substitutions in ERG11 and FKS1 associated with azole and echinocandin resistance, respectively, in Candida species and showed intermediate-resistant to fluconazole and micafungin. The patient was successfully treated with micafungin. Furthermore, matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) detected three novel peaks that are specific for W. tropicalis, indicating that MALDI-MS analysis is useful for rapid detection of Wickerhamiella species in routine microbiological examinations. [ABSTRACT FROM AUTHOR]

A marine red yeast, Rhodosporidium sphaerocarpum , is generally used for the production of lipids and carotenoids. In a previous study, we demonstrated that a marine-derived R. sphaerocarpum GDMCC 60679 can efficiently remove ammonia nitrogen and exhibit multiple probiotic functions for shrimp, Litopenaeus vannamei. Here, we performed a genome assembly of the strain GDMCC 60679 using a combination of the data from Illumina PE and PacBio CLR reads. The genome has a size of 18.03 Mb and consists of 32 contigs with an N50 length of 1,074,774 bp and GC content of 63 %. The genome was predicted to contain 6092 protein-coding genes, 5962 of which were functionally annotated. Metabolic pathways responsible for the ammonia assimilation and the synthesis of lipids and carotenoids were particularly examined to explore and characterize genes contributing to these functions. Whole-genome sequence and annotation of the strain lays a foundation to reveal the molecular mechanism of its prominent biological functions and will facilitate us to further expand new applications of yeasts in Rhodosporidium. [ABSTRACT FROM AUTHOR]

Salmonella is a major cause of foodborne diseases and clinical infections worldwide. This study aimed to investigate the drug resistance, genomic characteristics, and protein expression of foodborne Salmonella in Shanxi Province. We isolated a strain of Salmonella Enteritidis from patient feces and designated it 31A. The drug resistance of 31A against 14 antibiotics was determined using an antimicrobial susceptibility test. Whole-genome sequencing and quantitative proteomic analysis were performed on the 31A strain. Functional annotation of drug resistance genes/proteins and virulence genes/proteins was conducted using various databases, such as VFDB, ARDB, CAZY, COG, KOG, CARD, GO, and KEGG. The focus of this study was understanding the mechanisms related to food poisoning, and the genetic evolution of 31A was analyzed through comparative genomics. The 31A strain belonged to ST11 Salmonella Enteritidis and showed resistance to β-lactam and quinolone antibiotics. The genome of 31A had 70 drug resistance genes, 321 virulence genes, 12 SPIs, and 3 plasmid replicons. Functional annotation of these drug resistance and virulence genes revealed that drug resistance genes were mainly involved in defense mechanisms to confer resistance to antibiotics, while virulence genes were mainly associated with cellular motility. There were extensive interactions among the virulence genes, which included SPI-1, SPI-2, flagella, fimbriae, capsules and so on. The 31A strain had a close relationship with ASM2413794v1 and ASM130523v1, which were also ST11 Salmonella Enteritidis strains from Asia and originated from clinical patients, animals, and food. These results suggested minimal genomic differences among strains from different sources and the potential for interhost transmission. Differential analysis of the virulence and drug resistance-related proteins revealed their involvement in pathways related to human diseases, indicating that these proteins mediated bacterial invasion and infection. The integration of genomic and proteomic information led to the discovery that Salmonella can survive in a strong acid environment through various acid resistance mechanisms after entering the intestine with food and then invade intestinal epithelial cells to exert its effects. In this study, we comprehensively analyzed the drug resistance and virulence characteristics of Salmonella Enteritidis 31A using a combination of genomic and proteomic approaches, focusing on the pathogenic mechanism of Salmonella Enteritidis in food poisoning. We found significant fluctuations in various virulence factors during the survival, invasion, and infection of Salmonella Enteritidis, which collectively contributed to its pathogenicity. These results provide important information for the source tracing, prevention, and treatment of clinical infections caused by Salmonella Enteritidis. [ABSTRACT FROM AUTHOR]

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G9P[8] has been the predominant rotavirus A (RVA) genotype in Malaysia since the 2000s. However, the overall genetic makeup and evolution of Malaysian G9P[8] strains are still unknown. Therefore, this study aimed to evaluate and characterize the complete genomes of three G9P[8] RVA strains isolated from diarrheic children under five years old in Sabah. Contrary to the classical Wa-like constellation, these strains contained a DS-1-like genotype. Two strains, namely L202 and L234, were genotype G9-P[8]-I1-R1-C1-M1-A1-N1-T1-E2-H1, while one (KN102) was genotype G9-P[8]-I1-R1-C1-M1-A2-N1-T1-E1-H1. Phylogenetic analysis revealed that the NSP4 genes of L202 and L234 strains were closer to that of G9P[8]-E2 strains from Japan, suggesting they might share a common ancestor. The findings from this study provide new insights into the genetic characteristics of circulating G9P[8] strains in Sabah, which are important for rotavirus surveillance and potential vaccine development in the region., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024. Published by Elsevier B.V.)

The genus Flavobacterium comprises a diversity of species, including fish pathogens. Multiple techniques have been used to identify isolates of this genus, such as phenotyping, PCR genotyping, and in silico whole-genome taxonomy. In this study, we demonstrate that whole-genome-based taxonomy, using Average Nucleotide Identity (ANI) and molecular phylogeny, is the most accurate approach for Flavobacterium species. We obtained various isolated strains from official collections; these strains had been previously characterized by a third party using various identification methodologies. We analyzed isolates by PCR genotyping using previously published primers targeting gyrB and gyrA genes, which are supposedly specific to the genus Flavobacterium and F. psychrophilum, respectively. After genomic analysis, nearly half of the isolates had their identities re-evaluated: around a quarter of them were re-assigned to other genera and two isolates are new species of flavobacteria. In retrospect, the phenotyping method was the least accurate. While gyrB genotyping was accurate with the isolates included in this study, bioinformatics analysis suggests that only 70% of the Flavobacterium species could be appropriately identified using this approach. We propose that whole-genome taxonomy should be used for accurate Flavobacterium identification, and we encourage bacterial collections to review the identification of isolates identified by phenotyping., (© The Author(s) 2024. Published by Oxford University Press on behalf of FEMS.)

A conditionally pathogenic bacterium called Bibersteinia trehalosi inhabits the upper respiratory tract of ruminants and is becoming a significant cause of pneumonia, especially in goats. In this study, we identified a gram-negative bacteria strain isolated from dead goat's lungs, which was named M01. By integrating the outcomes of its morphological and biochemical characterization with the investigation of the 16S rRNA gene sequence analysis, the isolate was identified as B. trehalosi. Based on antibiotic susceptibility tests, the isolate was shown to be resistant to β-lactams, tetracyclines, and amphenicols. Its genome was discovered to comprise 2115 encoded genes and a circular chromosome measuring 2,345,568 bp using whole genome sequencing. Annotation of the VFBD database revealed that isolate M01 had four virulence genes encoding three virulence factors. The CARD database revealed that its genome has two antibiotic-resistance genes. Based on pathogenicity testing, isolate M01 was highly pathogenic to mice, primarily causing pneumonia, with an LD50 of 1.31 × 107 CFU/ml. Moreover, histopathology showed loss of alveolar structure and infiltration of lung inflammatory cells. Hence, the current study could provide sufficient information for prevention and control strategies for future epidemics of B. trehalosi in goat species. • Bibersteinia trehalosi M01 is resistant to β-Lactam, Tetracyclines and Amphenicols. • Bibersteinia trehalosi M01 has four virulence genes, which are cyll, wbaP/rfbP, wbbM, and wbbN. • The LD50 of Bibersteinia trehalosi M01 in mice is 1.31*107 CFU/ml. • This is a rare study of Bibersteinia trehalosi , which is important for the control of Bibersteinia trehalosi in China. [ABSTRACT FROM AUTHOR]

We present an innovative strategy for integrating whole-genome-wide multi-omics data, which facilitates adaptive amalgamation by leveraging hidden layer features derived from high-dimensional omics data through a multi-task encoder. Empirical evaluations on eight benchmark cancer datasets substantiated that our proposed framework outstripped the comparative algorithms in cancer subtyping, delivering superior subtyping outcomes. Building upon these subtyping results, we establish a robust pipeline for identifying whole-genome-wide biomarkers, unearthing 195 significant biomarkers. Furthermore, we conduct an exhaustive analysis to assess the importance of each omic and non-coding region features at the whole-genome-wide level during cancer subtyping. Our investigation shows that both omics and non-coding region features substantially impact cancer development and survival prognosis. This study emphasizes the potential and practical implications of integrating genome-wide data in cancer research, demonstrating the potency of comprehensive genomic characterization. Additionally, our findings offer insightful perspectives for multi-omics analysis employing deep learning methodologies., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

We report the complete genome sequence of the Chlamydia psittaci АМК-16, recovered from the aborted caprine fetus during a case of chlamydia infection. This 1,152,497-bp genome with 7,552-bp cryptic plasmid provides novel insights into the genetic diversity of chlamydia agent strains particularly those causing the infection in small ruminants., Competing Interests: The authors declare no conflict of interest.

Wickerhamiella is a genus of budding yeast that is mainly isolated from environmental samples, and 40 species have been detected. The yeast isolated from human clinical samples usually only contain three species: W. infanticola , W. pararugosa and W. sorbophila . In this study, we isolated W. tropicalis from a blood sample of a six-year-old female with a history of B-cell precursor lymphoblastic leukemia in Japan in 2022. Though the strain was morphologically identified as Candida species by routine microbiological examinations, it was subsequently identified as W. tropicalis by sequencing the internal transcribed spacer (ITS) of ribosomal DNA (rDNA). The isolate had amino acid substitutions in ERG11 and FKS1 associated with azole and echinocandin resistance, respectively, in Candida species and showed intermediate-resistant to fluconazole and micafungin. The patient was successfully treated with micafungin. Furthermore, matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) detected three novel peaks that are specific for W. tropicalis , indicating that MALDI-MS analysis is useful for rapid detection of Wickerhamiella species in routine microbiological examinations., Competing Interests: The Department of MALDI-TOF MS Practical Application Research at Juntendo University Graduate School of Medicine has been endowed partially by Shimadzu Corp. Kyoto, Japan to develop and validate new diagnostic technology and to conduct academic research through collaborations. ST, KT, TN, TK, and YT belong to the Department of MALDI-TOF MS Practical Application Research. Shimadzu Corp. provided MALDI-8020 and reagents for MALDI-MS analysis free of cost to YT. Author KT is employed by Shimadzu Corp. The study was performed by scientifically proper methods without any bias. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Takei, Teramoto, Fujimura, Fujiwara, Suzuki, Fukui, Sekiguchi, Kawakami, Chonan, Wakita, Horiuchi, Miida, Naito, Kirikae, Tada and Tabe.)

Accurately identifying entomopathogenic fungi is crucially important, but the current approach of analysing four genes might not provide sufficient resolution. In this study, we investigated the different resolution provided by multilocus phylogenies and approaches based on whole genome sequence data. Fungi were isolated from soil samples that were collected from five different vegetation types (dry sclerophyll forest, agricultural grassland, rainforest, suburban parkland, and sugar cane fields) and across four different suburban soil habitat types in southeast Queensland. Three different agricultural pests were used as live baits, cotton stainer bug, diamondback moth, and rust-red flour beetle. Whole-genome sequencing was conducted for all 83 isolates recovered, and the ITS2 region was extracted from the genome assemblies to make initial species identifications with the UNITE database. We also extracted tef1a 3′, tef1a 5', rpb1 and rpb2 genes from the Metarhizium genomes and the bloc , tef1a and rpb1 genes from Beauveria genomes to construct multilocus phylogenies and obtain species identification. To investigate the genetic relationships across 14 isolates of Beauveria bassiana and (independently) across 43 isolates of Metarhizium based on whole-genome data, we genotyped single nucleotide polymorphism (SNP) markers and conducted principal components analysis on the whole-genome SNP data. The multilocus methods identified isolates to species more precisely than ITS2, except in the one unresolved clade in the Metarhizium phylogeny. The whole-genome approach identified more genetic clusters than the multilocus phylogenies identified species among the isolates, and the morphological results correlated with some of the genetic clusters, so they likely represent distinct species not detected by the other methods. The genetic clusters were not associated with vegetation type or bait insect species. This is the first comparison of the resolution of multilocus phylogenetics with that of whole-genome SNP data for these genera. We suggest how the genetic clusters identified here may be investigated further to determine whether they represent unrecognised species within these groups. • Many genetic clusters were identified among field-collected fungal isolates. • Multilocus phylogenies identified fewer species among these isolates. • Some genetic clusters were associated with particular morphological variables. • Whole-genome ordination therefore suggests the presence of cryptic species. • Methods are suggested for fully resolving the status of the genetic clusters. [ABSTRACT FROM AUTHOR]

Xanthomonas euvesicatoria the primary causal agent of bacterial spot of pepper (BSP), poses a significant global challenge, resulting in severe defoliation and yield losses for pepper growers. We present the whole genome sequences of eight X. euvesicatoria strains associated with BSP in Vietnam. These genomes contribute to representation of pepper production regions in the global sample of X. euvesicatoria genomes, enabling the development of precise global disease management strategies., Competing Interests: The authors declare that there are no conflicts of interest., (© 2024 The Authors.)