Illumina MiSeq 16S rRNA Gene Library Preparation for Poultry Processing Microbiome Analyses.

The standardization of the microbiome sequencing of poultry rinsates is essential for generating comparable microbial composition data among poultry processing facilities if this technology is to be adopted by the industry. Samples must first be acquired, DNA must be extracted, and libraries must be constructed. In order to proceed to library sequencing, the samples should meet quality control standards. Finally, data must be analyzed using computer bioinformatics pipelines. This data can subsequently be incorporated into more advanced computer algorithms for risk assessment. Ultimately, *a uniform sequencing pipeline will enable both the government regulatory agencies and the poultry industry to identify potential weaknesses in food safety.This chapter presents the different steps for monitoring the population dynamics of the microbiome in poultry processing using 16S rDNA sequencing.

Characterisation of the novel KIR2DL1*00308 allele identified in a Chinese Han individual.

The novel KIR2DL1*00308 allele differs from the closest allele KIR2DL1*00302 by a single sense mutation.

Molecular Identification of Mycobacterium leprae in the Leprosy Patients.

BACKGROUND: Several discoveries about leprosy indicate that Mycobacterium leprae transmission mainly occurs by inhalation, and the nose is a major port of entry and exit. Molecular probes have shown certain potential for the detection and identification of M. leprae in patients. The aim of this study was to identify M. leprae in nasal swab specimens using polymerase chain reaction (PCR)-based assays followed by gene sequencing methods. This observational study examines 64 anterior nasal swab samples taken from pretreatment leprosy patients, on-treatment and completed leprosy treatment in Bulukumba, South Sulawesi, Indonesia. METHODS: samples were analyzed by molecular detection methods according to the standard methods at the Clinical Microbiology Laboratory of Hasanuddin University. Descriptive statistics were utilized to summarize patient demographics and outcomes. RESULTS: This study uses PCR to detect the M. leprae deoxyribonucleic acid (DNA) from nasal swab specimens. Data were collected from 64 patients with a percentage of male patients 51.54%. Based on the age category, the group 45-46 years was the most frequent (39.05%). PCR detection proline-rich antigen gene of a 531 bp DNA fragment from M. leprae, was positive in eight patients, and they were multibacillary. Furthermore, PCR was positive in 5 (31.25%) of 16 new leprosy patients, 2 (8.69%) of 23 on-treatment patients, and 1 (4%) of 25 treatment completed patients. Based on the results of the phylogenetic tree and analysis of 8 positive results detected by M. leprae from leprosy patients, almost all samples have a level of similarity, except for sample Ua7. CONCLUSIONS: M. leprae cannot grow in vitro, so molecular diagnostic tools were used to confirm the disease. This study predominantly of males with the age above 45 years of age being the most common. Eight M. leprae were positive from nasal swab leprosy patients. The sequencing findings provide insight into the genetic diversity of the genus M. leprae, so it is necessary to consider the detection of whole-genome sequence.

Diaporthe species causing shoot dieback of Acer (maple) in Henan Province, China.

BACKGROUND: Maple is an important ornamental plant in China. With the increasing use of maple trees in landscaping, a symptom of shoot dieback has been observed in Henan province, China. RESULTS: In this study, 28 Diaporthe isolates were obtained from symptomatic shoots of maple trees between 2020 and 2023. Phylogenetic analyses based on five loci (ITS, TEF, CAL, HIS and TUB) coupled with morphology of 12 representative isolates identified three known species (D. eres, D. pescicola and D. spinosa) and one new species, namely D. pseudoacerina sp. nov. Koch's postulates confirmed that all these species were pathogenic. Additionally, D. pseudoacerina was able to infect China wingnut (Pterocarya stenoptera), pear (Pyrus sp.), and black locust (Robinia pseudoacacia). This study marks the first report of Diaporthe spinosa and D. pescicola pathogens infecting maple trees. CONCLUSIONS: These findings enhance the existing knowledge of the taxonomy and host diversity of Diaporthe species as, while also providing valuable information for managing of maple shoot dieback in Henan Province, China.

New isolate of sweet potato virus 2 from Ipomoea nil: molecular characterization, codon usage bias, and phylogenetic analysis based on complete genome.

BACKGROUND: Viral diseases of sweet potatoes are causing severe crop losses worldwide. More than 30 viruses have been identified to infect sweet potatoes among which the sweet potato latent virus (SPLV), sweet potato mild speckling virus (SPMSV), sweet potato virus G (SPVG) and sweet potato virus 2 (SPV2) have been recognized as distinct species of the genus Potyvirus in the family Potyviridae. The sweet potato virus 2 (SPV2) is a primary pathogen affecting sweet potato crops. METHODS: In this study, we detected an SPV2 isolate (named SPV2-LN) in Ipomoea nil in China. The complete genomic sequence of SPV2-LN was obtained using sequencing of small RNAs, RT-PCR, and RACE amplification. The codon usage, phylogeny, recombination analysis and selective pressure analysis were assessed on the SPV2-LN genome. RESULTS: The complete genome of SPV2-LN consisted of 10,606 nt (GenBank No. OR842902), encoding 3425 amino acids. There were 28 codons in the SPV2-LN genome with a relative synonymous codon usage (RSCU) value greater than 1, of which 21 end in A/U. Among the 12 proteins of SPV2, P3 and P3N-PIPO exhibited the highest variability in their amino acid sequences, while P1 was the most conserved, with an amino acid sequence identity of 87-95.3%. The phylogenetic analysis showed that 21 SPV2 isolates were clustered into four groups, and SPV2-LN was clustered together with isolate yu-17-47 (MK778808) in group IV. Recombination analysis indicated no major recombination sites in SPV2-LN. Selective pressure analysis showed dN/dS of the 12 proteins of SPV2 were less than 1, indicating that all were undergoing negative selection, except for P1N-PISPO. CONCLUSION: This study identified a sweet potato virus, SPV2-LN, in Ipomoea nil. Sequence identities and genome analysis showed high similarity between our isolate and a Chinese isolate, yu-17-47, isolated from sweet potato. These results will provide a theoretical basis for understanding the genetic evolution and viral spread of SPV2.

Characterization of a mammalian orthoreovirus isolated from the large flying fox, Pteropus vampyrus, in Indonesia.

Fruit bats serve as an important reservoir for many zoonotic pathogens, including Nipah virus, Hendra virus, Marburg virus and Lyssavirus. To gain a deeper insight into the virological characteristics, pathogenicity and zoonotic potential of bat-borne viruses, recovery of infectious viruses from field samples is important. Here, we report the isolation and characterization of a mammalian orthoreovirus (MRV) from a large flying fox (Pteropus vampyrus) in Indonesia, which is the first detection of MRV in Southeast Asia. MRV was recovered from faecal samples of three different P. vampyrus in Central Java. Nucleotide sequence analysis revealed that the genome of the three MRV isolates shared more than 99% nucleotide sequence identity. We tentatively named one isolated strain as MRV12-52 for further analysis and characterization. Among 10 genome segments, MRV12-52 S1 and S4, which encode the cell-attachment protein and outer capsid protein, had 93.6 and 95.1% nucleotide sequence identities with known MRV strains, respectively. Meanwhile, the remaining genome segments of MRV12-52 were divergent with 72.9-80.7 % nucleotide sequence identities. Based on the nucleotide sequence of the S1 segment, MRV12-52 was grouped into serotype 2, and phylogenetic analysis demonstrated evidence of past reassortment events. In vitro characterization of MRV12-52 showed that the virus efficiently replicated in BHK-21, HEK293T and A549 cells. In addition, experimental infection of laboratory mice with MRV12-52 caused severe pneumonia with 75% mortality. This study highlights the presence of pathogenic MRV in Indonesia, which could serve as a potential animal and public health concern.

Molecular identification of whales remains from the Keller Peninsula, Admiralty Bay, King George Island, Antarctica.

At the beginning of the 20th century, intense whaling activity took place in the South Shetland Islands, which is represented today in the form of ruins and numerous whale bones scattered along several Antarctic beaches. Despite being exposed to a harsh environment throughout the last decades, the present manuscript tried to answer if these bone remains still have viable DNA to allow species' identification using molecular methods. Several individuals were collected from the shores of Keller Peninsula, Admiralty Bay, Antarctica, and submitted to DNA extraction, amplification and Sanger sequencing. The challenging identification of these bone fragments proved to be still feasible. Mitochondrial DNA was successfully extracted, amplified and sequenced. A database with 43 sequences including previously published and newly determined sequences were built and enabled the precise identification to species level for some of the collected samples, therefore shedding light on the whales species that inhabited the region and how their overexploitation seems to have affected modern day presence of these species within the study area.

CSV-Filter: a deep learning-based comprehensive structural variant filtering method for both short and long reads.

MOTIVATION: Structural variants (SVs) play an important role in genetic research and precision medicine. As existing SV detection methods usually contain a substantial number of false positive calls, approaches to filter the detection results are needed. RESULTS: We developed a novel deep learning-based SV filtering tool, CSV-Filter, for both short and long reads. CSV-Filter uses a novel multi-level grayscale image encoding method based on CIGAR strings of the alignment results and employs image augmentation techniques to improve SV feature extraction. CSV-Filter also utilizes self-supervised learning networks for transfer as classification models, and employs mixed-precision operations to accelerate training. The experiments showed that the integration of CSV-Filter with popular SV detection tools could considerably reduce false positive SVs for short and long reads, while maintaining true positive SVs almost unchanged. Compared with DeepSVFilter, a SV filtering tool for short reads, CSV-Filter could recognize more false positive calls and support long reads as an additional feature. AVAILABILITY AND IMPLEMENTATION: https://github.com/xzyschumacher/CSV-Filter.

NASTRA: accurate analysis of short tandem repeat markers by nanopore sequencing with repeat-structure-aware algorithm.

Short-tandem repeats (STRs) are the type of genetic markers extensively utilized in biomedical and forensic applications. Due to sequencing noise in nanopore sequencing, accurate analysis methods are lacking. We developed NASTRA, an innovative tool for Nanopore Autosomal Short Tandem Repeat Analysis, which overcomes traditional database-based methods' limitations and provides a precise germline analysis of STR genetic markers without the need for allele sequence reference. Demonstrating high accuracy in cell line authentication testing and paternity testing, NASTRA significantly surpasses existing methods in both speed and accuracy. This advancement makes it a promising solution for rapid cell line authentication and kinship testing, highlighting the potential of nanopore sequencing for in-field applications.

Paralimibaculum aggregatum gen. nov. sp. nov. and Biformimicrobium ophioploci gen. nov. sp. nov., two novel heterotrophs from brittle star Ophioplocus japonicus.

Two novel Gram-stain-negative, strictly aerobic, halophilic and non-motile bacterial strains, designated NKW23T and NKW57T, were isolated from a brittle star Ophioplocus japonicus collected from a tidal pool in Wakayama, Japan. The results of phylogenetic analysis based on 16S rRNA gene sequences indicated that NKW23T represented a member of the family Paracoccaceae, with Limibaculum halophilum CAU 1123T as its closest relative (94.4% sequence identity). NKW57T was identified as representing a member of the family Microbulbiferaceae, with up to 94.9% sequence identity with its closest relatives. Both strains displayed average nucleotide identity (ANI) and digital DNA-DNA hybridisation (dDDH) values below the species delimitation threshold against their closest relatives. Additionally, amino acid identity (AAI) values of both strains fell below the genus-defining threshold. Phylogenetic trees based on genome sequences indicated that NKW23T formed a novel lineage, branching deeply prior to the divergence of the genera Limibaculum and Thermohalobaculum, with an evolutionary distance (ED) of 0.31-0.32, indicative of genus-level differentiation. NKW57T similarly formed a distinct lineage separate from the species of the genus Microbulbifer. The major respiratory quinones of NKW23T and NKW57T were ubiquinone-10 (Q-10) and Q-8, respectively. The genomic DNA G+C contents of NKW23T and NKW57T were 71.4 and 58.8%, respectively. On the basis of the physiological and phylogenetic characteristics, it was proposed that these strains should be classified as novel species representing two novel genera: Paralimibaculum aggregatum gen. nov., sp. nov., with strain NKW23T (=JCM 36220T=KCTC 8062T) as the type strain, and Biformimicrobium ophioploci gen. nov., sp. nov., with strain NKW57T (=JCM 36221T=KCTC 8063T) as the type strain.

Coinfection of human adenovirus and recombinant human astrovirus in a case of acute gastroenteritis: A report from China.

Diarrhea is one of the major public health issues worldwide. Although the infections of individual enteric virus have been extensively studied, elucidation of the coinfection involving multiple viruses is still limited. In this study, we identified the coinfection of human adenovirus (HAdV) and human astrovirus (HAstV) in a child with acute gastroenteritis, analyzed their genotypes and molecular evolution characteristics. The sample was collected and identified using RT-PCR and subjected to whole-genome sequencing on the NovaSeq (Illumina) platform. Obtained sequences were assembled into the complete genome of HAdV and the ORF1 of HAstV. We conducted phylogenetic analysis using IQ-TREE software and conducted recombination analysis with the Recombination Detection Program. The sequenced HAdV was confirmed to be genotype 41, and was genetically close to some European strains. Phylogenetic analysis revealed that the HAstV was genetically close to both HAstV-2 and HAstV-4 and was different from the genotype prevalent in Shenzhen before. The recombination analysis confirmed that the sequenced HAstV strain is a recombinant of HAstV-2 and HAstV-4. Our analysis has shown that the strains in this coinfection are both uncommon variants in this geographical region, instead of dominant subtypes that have prevailed for years. This study presents a coinfection of HAdV and HAstV and conducts an evolutionary analysis on involved viruses, which reveals the genetic diversity of epidemic strains in Southern China and offers valuable insights into vaccine and medical research.

Generative language models on nucleotide sequences of human genes.

Language models, especially transformer-based ones, have achieved colossal success in natural language processing. To be precise, studies like BERT for natural language understanding and works like GPT-3 for natural language generation are very important. If we consider DNA sequences as a text written with an alphabet of four letters representing the nucleotides, they are similar in structure to natural languages. This similarity has led to the development of discriminative language models such as DNABERT in the field of DNA-related bioinformatics. To our knowledge, however, the generative side of the coin is still largely unexplored. Therefore, we have focused on the development of an autoregressive generative language model such as GPT-3 for DNA sequences. Since working with whole DNA sequences is challenging without extensive computational resources, we decided to conduct our study on a smaller scale and focus on nucleotide sequences of human genes, i.e. unique parts of DNA with specific functions, rather than the whole DNA. This decision has not significantly changed the structure of the problem, as both DNA and genes can be considered as 1D sequences consisting of four different nucleotides without losing much information and without oversimplification. First of all, we systematically studied an almost entirely unexplored problem and observed that recurrent neural networks (RNNs) perform best, while simple techniques such as N-grams are also promising. Another beneficial point was learning how to work with generative models on languages we do not understand, unlike natural languages. The importance of using real-world tasks beyond classical metrics such as perplexity was noted. In addition, we examined whether the data-hungry nature of these models can be altered by selecting a language with minimal vocabulary size, four due to four different types of nucleotides. The reason for reviewing this was that choosing such a language might make the problem easier. However, in this study, we found that this did not change the amount of data required very much.

Microbulbifer spongiae sp. nov., isolated from marine sponge Diacarnus erythraeanus.

A novel bacterium, designated as MI-GT, was isolated from marine sponge Diacarnus erythraeanus. Cells of strain MI-GT are Gram-stain-negative, aerobic, and rod or coccoid-ovoid in shape. MI-GT is able to grow at 10-40 °C (optimum, 28 °C), with 1.0-8.0% (w/v) NaCl (optimum, 4.0%), and at pH 5.5-9.0 (optimum, pH 8.0). The 16S rRNA gene sequence of strain MI-GT shows 98.35, 97.32 and 97.25% similarity to those of Microbulbifer variabilis Ni-2088T, Microbulbifer maritimus TF-17T and Microbulbifer echini AM134T, respectively. Phylogenetic analysis also exhibits that strain MI-GT falls within a clade comprising members of the genus Microbulbifer (class Gammaproteobacteria). The genome size of strain MI-GT is 4478124 bp with a G+C content of 54.51 mol%. The average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between strain MI-GT and other type strains are 71.61-76.44% (ANIb), 83.27-84.36% (ANIm) and 13.4-18.7% (dDDH), respectively. These values are significantly lower than the recommended threshold values for bacterial species delineation. Percentage of conserved proteins and average amino acid identity values among the genomes of strain MI-GT and other closely related species are 52.04-59.13% and 67.47-77.21%, respectively. The major cellular fatty acids of MI-GT are composed of summed feature 8 (C18 : 1 ω7c or C18 : 1 ω6c), iso-C11 : 0 3-OH, iso-C15 : 0, C16 : 0, and summed feature 9 (C17 : 1 iso ω9c or C16 : 0 10-methyl). The polar lipids of MI-GT mainly consist of phosphatidylethanolamine, phosphatidylglycerol, aminolipid, and two glycolipids. The major respiratory quinone is Q-8. Based on differential phenotypic and phylogenetic data, strain MI-GT is considered to represent a novel species of genus Microbulbifer, for which the name Microbulbifer spongiae sp. nov. is proposed. The type strain is MI-GT (=MCCC 1K07826T=KCTC 8081T).

Detection of the novel HLA-DQA1*05:73 allele with an amino acid substitution in the α2 extracellular domain.

A single nucleotide substitution in the exon 3 gives rise to the novel HLA-DQA1*05:73 allele.

Pseudoplagiostoma humilis sp. nov., a New Fungal Species Causing Shoot Blight and Dieback in Anacardium humile in Brazil.

The cajuzinho do cerrado (Anacardium humile-Anacardiaceae), a shrub species native to Brazil, is harvested for multiple uses in food and medicine. Members of a harvesting community, near the municipality of Bonito de Minas, Minas Gerais state, Brazil reported characteristic symptoms of shoot blight and dieback reducing pseudofruit and seed production by this plant. This study aimed to identify the etiological agent of this disease. Two fungal isolates were obtained from symptomatic leaf samples and morphologically and molecularly characterized. The fungus was identified, based on morphological analyses, as a probable new species of Pseudoplagiostoma. Phylogenetic analyses based on a combination of DNA sequence data (nuc rDNA ITS1-5.8S-ITS2 region, tef1-α and tub2), confirmed this hypothesis. The isolates obtained were allocated to a distinct, well-supported clade (IB = 0.99, ML = 100%), placed as a unique lineage here proposed as a new species named Pseudoplagiostoma humilis. The pathogenicity test confirmed that this new species was the causal agent of shoot blight and dieback on A. humile. This is the fourteenth Pseudoplagiostoma species reported in the world and the third in Brazil.

mgikit: demultiplexing toolkit for MGI fastq files.

SUMMARY: MGI sequencing is reported to be an inexpensive solution to obtain genomics information. There is a growing need for software and tools to analyse MGI's outputs efficiently. mgikit is a tool collection to demultiplex MGI fastq data, reformat it effectively and produce visual quality reports. mgikit overcomes several limitations of the standard MGI demultiplexer. It is highly customizable to suit different kinds of datasets and is designed to achieve high performance and optimal memory utilization. AVAILABILITY AND IMPLEMENTATION: The tool and its documentation are available at: https://sagc-bioinformatics.github.io/mgikit/.

A novel HLA-C*07 variant allele, HLA-C*07:01:01:141, identified by next-generation sequencing.

Characterisation of the novel HLA-C*07:01:01:141 allele in a 23-year-old Greek bone marrow donor.

Identification of the novel HLA-B*56:100 allele by next-generation sequencing.

HLA-B*56:100 differs from HLA-B*56:20:02 by one nucleotide substitution at codon 147.2 in exon 3.

HLA-B*07:510, a novel HLA-B allele identified in two not relative individuals.

HLA-B*07:510, a novel HLA-B allele with one exonic mutation identified in two Russian individuals.