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Background: There are two major species of the Panax genus, namely Panax ginseng and Panax quinquefolius. Other than the nucleic acid test and nucleic acid amplification test, DNA sequencing can be used to authenticate the species of ginseng samples, especially when their physical forms cannot be used for differentiation. Method: In this work, next generation sequencing was used to obtain millions of reads from fourteen ginseng samples (root, powder, and granule). Then Gaussian Mixture clustering analysis was applied to analyze the reads from each sample. Results and Discussion: A new genotype has been revealed in this study. Two samples have been authenticated with certainty, while the others may be hybrid in nature as revealed by the clustering results.

Shotgun sequencing is a DNA analysis method that potentially determines the nucleotide sequence of every DNA fragment in a sample, unlike PCR-based genotyping methods that is widely used in forensic genetics and targets predefined short tandem repeats (STRs) or predefined single nucleotide polymorphisms (SNPs). Shotgun DNA sequencing is particularly useful for highly degraded low-quality DNA samples, such as ancient samples or those from crime scenes. Here, we developed a statistical model for human identification using shotgun sequencing data and developed formulas for calculating the evidential weight as a likelihood ratio (LR). The model uses a dynamic set of binary SNP loci and takes the error rate from shotgun sequencing into consideration in a probabilistic manner. To our knowledge, the method is the first to make this possible. Results from replicated shotgun sequencing of buccal swabs (high-quality samples) and hair samples (low-quality samples) were arranged in a genotype-call confusion matrix to estimate the calling error probability by maximum likelihood and Bayesian inference. Different genotype quality filters may be applied to account for genotyping errors. An error probability of zero resulted in the commonly used LR formula for the weight of evidence. Error probabilities above zero reduced the LR contribution of matching genotypes and increased the LR in the case of a mismatch between the genotypes of the trace and the person of interest. In the latter scenario, the LR increased from zero (occurring when the error probability was zero) to low positive values, which allow for the possibility that the mismatch may be due to genotyping errors. We developed an open-source R package, wgsLR, which implements the method, including estimation of the calling error probability and calculation of LR values. The R package includes all formulas used in this paper and the functionalities to generate the formulas., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

The genetic characterization and identification of individuals who contributed to biological mixtures are complex and mostly unresolved tasks. These tasks are relevant in various fields, particularly in forensic investigations, which frequently encounters crime scene stains generated by more than one person. Currently, forensic mixture deconvolution is mostly performed subsequent to forensic DNA profiling at the level of the mixed DNA profiles, which comes with several limitations. Some previous studies attempted at separating single cells prior to forensic DNA profiling. However, these approaches are biased at selection of the cells and, due to their targeted DNA analysis on low template DNA, provide incomplete and unreliable forensic DNA profiles. We recently demonstrated the feasibility of performing mixture deconvolution prior to forensic DNA profiling through the utilization of a non-targeted single-cell transcriptome sequencing (scRNA-seq). In addition to individual-specific mixture deconvolution, this approach also allowed accurate characterisation of biological sex, biogeographic ancestry and individual identification of the separated mixture contributors. However, RNA has the forensic disadvantage of being prone to degradation, and sequencing RNA - focussing on coding regions - limits the number of single nucleotide polymorphisms (SNPs) utilized for genetic mixture deconvolution, characterization, and identification. These limitations can be overcome by performing single-cell sequencing on the level of DNA instead of RNA. Here, for the first time, we applied non-targeted single-cell DNA sequencing (scDNA-seq) by applying the scATAC-seq (Assay for Transposase-Accessible Chromatin with sequencing) technique to address the challenges of mixture deconvolution in the forensic context. We demonstrated that scATAC-seq, together with our recently developed De-goulash data analysis pipeline, is capable of deconvoluting complex blood mixtures of five individuals from both sexes with varying biogeographic ancestries. We further showed that our approach achieved correct genetic characterization of the biological sex and the biogeographic ancestry of each of the separated mixture contributors and established their identity. Furthermore, by analysing in-silico generated scATAC-seq data mixtures, we demonstrated successful individual-specific mixture deconvolution of i) highly complex mixtures of 11 individuals, ii) balanced mixtures containing as few as 20 cells (10 per each individual), and iii) imbalanced mixtures with a ratio as low as 1:80. Overall, our proof-of-principle study demonstrates the general feasibility of scDNA-seq in general, and scATAC-seq in particular, for mixture deconvolution, genetic characterization and individual identification of the separated mixture contributors. Furthermore, it shows that compared to scRNA-seq, scDNA-seq detects more SNPs from fewer cells, providing higher sensitivity, that is valuable in forensic genetics., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

ABSTRACT: Understanding the genetic mechanisms that underlie innate fear behavior is essential for improving the management and performance of the poultry industry. This study aimed to map QTL associated with innate fear responses in open field (OF) and tonic immobility (TI) tests, using an F2 chicken intercross population between 2 behaviorally distinct breeds: the aggressive Japanese Oh-Shamo (OSM) and the docile White Leghorn T-line (WL-T). Genome-wide QTL analysis for the OF and TI traits was conducted using 2,109 single nucleotide polymorphism (SNP) markers obtained through restriction site-associated DNA sequencing (RAD-seq). While several suggestive QTL were identified for TI and OF traits at genome-wide 20% significance threshold levels, the analysis revealed 2 significant QTL for 2 OF traits (total distance and maximum speed) at genome-wide 5% significance threshold levels. These significant QTL were located between 12.34 and 30.49 megabase (Mb) on chromosome 1 and between 40.02 and 63.38 Mb on chromosome 2, explaining 6.75 to 7.40% of the total variances. These findings provide valuable insights for the poultry industry, particularly in refining chicken management strategies and informing targeted breeding efforts.

In North America, some moose populations are declining, and meningeal worm (Parelaphostrongylus tenuis) infections may be contributing. Moose are aberrant hosts for meningeal worm and develop severe pathology whereas white-tailed deer (WTD) are definitive hosts that experience minimal pathology and spread parasite larvae into the environment. Analyses of harvested WTD heads confirmed meningeal worm in Western Manitoba, Canada including in areas where moose have experienced population declines and are currently of management concern. The prevalence of larval meningeal worm from WTD feces in these areas are unknown, particularly because the dorsal-spined larvae (DSL) are morphologically indistinguishable from muscle worm (Parelaphostrongylus andersoni). To assess transmission risk of DSL, we investigated the spatial and temporal variation of prevalence in WTD feces from four areas (two with historical moose population declines and two without) sampled across two summers. We predicted higher prevalence of DSL in areas where moose are of management concern and surveys have shown higher meningeal worm prevalence in WTD heads. Further, we expected to only recover meningeal worm, as muscle worm has only been reported from caribou in more northern areas of Manitoba. We collected WTD feces by transect sampling, used the Baermann technique to obtain larvae, and sequenced partial cytochrome oxidase 1 and internal transcribed spacer 2 genes to confirm species identity. Zero-inflated models revealed that DSL prevalence did not differ temporally but was higher in areas where moose are of management concern. Genetic analyses revealed that meningeal worm and muscle worm were both present in Western Manitoba and co-occurred in three areas. Our results reveal novel insights into the geographic distribution of muscle worm and emphasize the importance of DNA sequencing for DSL identification. We suggest that concern for moose populations is warranted given the increased risk of parasite infection in some management areas.

Mycobacterium franklinii (Mfra) is a recently identified member of the Mycobacterium chelonae-abscessus complex (MCAC), a rapidly growing, acid-fast bacilli that have the potential to cause invasive human infections. Identification of Mfra is crucial for selecting the appropriate antimicrobial therapy, as Mfra displays a unique susceptibility profile compared to other MCAC members. The literature on Mfra is limited, with a few studies focusing on respiratory and skin infections. To our knowledge, we describe the first reported case of cardiac involvement associated with Mfra bacteremia in a patient with acute lymphoblastic leukemia. The isolation of Mfra through a next-generation sequencing test allowed for prompt identification and subsequent implementation of tailored antimicrobial agents, ultimately resulting in positive clinical outcomes. This case also emphasizes the significance of next-generation testing in managing immunocompromised patients with persistent fever.

Objective: To integrate an enhanced molecular diagnostic technique to develop and validate a machine-learning model for diagnosing sepsis., Methods: We prospectively enrolled patients suspected of sepsis from August 2021 to August 2023. Various feature selection algorithms and machine learning models were used to develop the model. The best classifier was selected using 5-fold cross validation set and then was applied to assess the performance of the model in the testing set. Additionally, we employed the Shapley Additive exPlanations (SHAP) method to illustrate the effects of the features., Results: We established an optimized mNGS assay and proposed using the copies of microbe-specific cell-free DNA per milliliter of plasma (CPM) as the detection signal to evaluate the real burden, with strong precision and high accuracy. In total, 237 patients were eligible for participation, which were randomly assigned to either the training set (70 %, n = 165) or the testing set (30 %, n = 72). The random forest classifier achieved accuracy, AUC and F1 scores of 0.830, 0.918 and 0.856, respectively, outperforming other machine learning models in the training set. Our model demonstrated clinical interpretability and achieved good prediction performance in differentiating between bacterial sepsis and non-sepsis, with an AUC value of 0.85 and an average precision of 0.91 in the testing set. Based on the SHAP value, the top nine features of the model were PCT, CPM, CRP, ALB, SBP min , RR max , CREA, PLT and HR max ., Conclusion: We demonstrated the potential of machine-learning approaches for predicting bacterial sepsis based on optimized mcfDNA sequencing assay accurately., (Copyright © 2024. Published by Elsevier B.V.)

Background: Germline mutations in the ataxia telangiectasia mutated (ATM) gene occur in 0.5–1% of the overall population and are associated with tumour predisposition. The clinical and pathological features of ATM-mutated prostate cancer (PC) are poorly defined but have been associated with lethal PC. Objective: To report on the clinical characteristics including family history and clinical outcomes of a cohort of patients with advanced metastatic castration-resistant PC (CRPC) who were found to have germline ATM mutations after mutation detection by initial tumour DNA sequencing. Design, setting, and participants: We acquired germline ATM mutation data by saliva next-generation sequencing from patients with ATM mutations in PC biopsies sequenced between January 2014 and January 2022. Demographics, family history, and clinical data were collected retrospectively. Outcome measurements and statistical analysis: Outcome endpoints were based on overall survival (OS) and time from diagnosis to CRPC. Data were analysed using R version 3.6.2 (R Foundation for Statistical Computing, Vienna, Austria). Results and limitations: Overall, seven patients (n = 7/1217; 0.6%) had germline ATM mutations detected, with five of them having a family history of malignancies, including breast, prostate, pancreas, and gastric cancer; leukaemia; and lymphoma. Two patients had concomitant somatic mutations in tumour biopsies in genes other than ATM, while two patients were found to carry more than one ATM pathogenic mutation. Five tumours in germline ATM variant carriers had loss of ATM by immunohistochemistry. The median OS from diagnosis was 7.1 yr (range 2.9–14 yr) and the median OS from CRPC was 5.3 yr (range 2.2–7.3 yr). When comparing these data with PC patients sequenced by The Cancer Genome Atlas, we found that the spatial localisation of mutations was similar, with distribution of alterations occurring on similar positions in the ATM gene. Interestingly, these include a mutation within the FRAP-ATM-TRRAP (FAT) domain, suggesting that this represents a mutational hotspot for ATM. Conclusions: Germline ATM mutations are rare in patients with lethal PC but occur at mutational hotspots; further research is warranted to better characterise the family histories of these men and PC clinical course. Patient summary: In this report, we studied the clinical and pathological features of advanced prostate cancers associated with germline mutations in the ATM gene. We found that most patients had a strong family history of cancer and that this mutation might predict the course of these prostate cancers, as well as response to specific treatments.

Background: The FUTURE trial (UMIN000029294) demonstrated the safety and efficacy of adding palbociclib after fulvestrant resistance in patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) advanced and metastatic breast cancer (ABC/MBC). In this planned sub-study, cancer panel sequencing of cell-free DNA (cfDNA) was utilized to explore prognostic and predictive biomarkers for further palbociclib treatment following fulvestrant resistance., Materials and Methods: Herein, 149 cfDNA samples from 65 patients with fulvestrant-resistant disease were analysed at the time of palbociclib addition after fulvestrant resistance (baseline), on day 15 of cycle 1, and at the end of treatment using the assay for identifying diverse mutations in 34 cancer-related genes., Results: During the course of treatment, mutations in ESR1, PIK3CA, FOXA1, RUNX1, TBX3, and TP53 were the most common genomic alterations observed. Analysis of genomic mutations revealed that before fulvestrant introduction, baseline PIK3CA mutations were marginally lower in metastatic aromatase inhibitor (AI)-treated patients compared to adjuvant AI-treated patients (P = 0.063). Baseline PIK3CA mutations were associated with poorer progression-free survival [hazard ratio: 1.62, P = 0.04]. Comparative analysis between baseline and early-changing gene mutations identified poor prognostic factors including early-changing MAP3K1 mutations (hazard ratio: 4.66, P = 0.04), baseline AR mutations (hazard ratio: 3.53, P = 0.04), and baseline PIK3CA mutations (hazard ratio: 3.41, P = 0.02). Notably, the relationship between ESR1 mutations and mutations in PIK3CA, MAP3K1, and TP53 weakened as treatment progressed. Instead, PIK3CA mutations became correlated with TP53 and FOXA1 mutations., Conclusions: Cancer panel testing for cfDNA identified prognostic and predictive biomarkers for palbociclib add-on therapy after acquiring fulvestrant resistance in patients with HR+/HER2- ABC/MBC., Competing Interests: Disclosure TI: research grant from Pfizer. NN: research grant from Chugai, Pfizer, Eisai, Mochida, Daiichi-Sankyo, and Novartis; and honoraria for lectures from Chugai, Eli Lilly, MSD, Daiichi-Sankyo, AstraZeneca, and Pfizer. KW: honoraria for lectures from Chugai, Eli Lilly, Nippon-Kayaku, Kyowa-Kirin, Novartis, Taiho, Eisai, Pfizer, Shionogi, Daiichi-Sankyo, and AstraZeneca. YK: honoraria for lectures from Eisai, Novartis, Astra Zeneca, Taiho, Pfizer, Daiichi-Sankyo, Eli Lilly, and Chugai. KK: honoraria for lectures from Pfizer, Taiho, Chugai, AstraZeneca, Eli Lilly, Eisai, and Novartis. HT: research grant from Daiichi-Sankyo, Eli Lilly, Kyowa-Kirin, Chugai, Novartis, and Taiho; and honoraria for lectures from Chugai, Pfizer, Eli Lilly, AstraZeneca, and Daiichi-Sankyo. UT: research grant from Chugai, Eisai, Taiho, and Nippon-Kayaku; and honoraria for lectures from Pfizer, Kyowa-Kirin, Eli Lilly, and Daiichi-Sankyo. YY: research grant from Chugai, Kyowa-Kirin, Eisai, Daiichi-Sankyo, Nippon-Kayaku, Taiho, Takeda, Lilly, Pfizer, and Novartis; honoraria for lectures from AstraZeneca, Chugai, Kyowa-Kirin, Novartis, Lilly, Pfizer, Daiichi-Sankyo, Nippon-Kayaku, Taiho, Eisai, Takeda, MSD, Sysmex, and Exact Science; advisory board: AstraZeneca, Chugai, Novartis, MSD, Lilly, Pfizer, and Daiichi-Sankyo; and Member of the Board of Directors at the Japanese Breast Cancer Society and Japan Breast Cancer Research Group. HI: research grant from Eisai, Daiichi-Sankyo, Takeda, and Chugai; and honoraria for lectures from Eisai, Pfizer, Daiichi-Sankyo, Chugai, and Kyowa-Kirin. NM: research grant from Chugai, Eli Lilly, AstraZeneca, Pfizer, Daiichi-Sankyo, MSD, Eisai, Novartis, Sanofi, Kyowa-Kirin, Nippon-Kayaku, and Ono-Pharma; honoraria for lectures from Chugai, Pfizer, AstraZeneca, Eli Lilly, Daiichi-Sankyo, and Eisai; and Board of Directors at the Japanese Breast Cancer Society. SS: research grant from Taiho, Eisai, Chugai, Takeda, MSD, AstraZeneca, and Daiichi-Sankyo; honoraria for lectures from Chugai, Kyowa-Kirin, MSD, Novartis, Eisai, Takeda, Daiichi-Sankyo, Eli Lilly, AstraZeneca, Pfizer, Taiho, Ono, and Nippon-Kayaku; participation on a data safety monitoring board or advisory board at Chugai/Roche, AstraZeneca, Eli Lilly, Pfizer, Kyowa-Kirin, Daiichi-Sankyo, and MSD; and executive board member at JBCRG, JBCS, JSMO, and BIG. All other authors have declared no conflicts of interest., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

The Arabian horse breed is well known for its purity and played a key role in the genetic improvement of other horses worldwide. The mitochondrial genome plays a vital role in maternal inheritance and it’s helpful to evaluate its genetic diversity and conservation. It has higher mutation rates than nuclear DNA in vertebrates and therefore reveals phylogenetic relationships and haplotypes. In this study, the mitochondrial genome mutations in two Saudi horse strains, Kehilan and Hamdani demonstrated various changes in the gene and amino acid levels and included two other Saudi horses (Hadban and Seglawi) from the previous study for phylogenetic comparison. The whole mitochondrial genome sequencing resulted in intra and inter mtDNA variations between the studied horses. Interestingly, the Hamdani horse has nucleotide substitutions similar to those of the Hadban horse, which is reflected in the phylogenetic tree as a significantly close relationship. This type of study provides a better understanding of mitogenome structure and conservation of livestock species genetic data.

Chemohormonal therapy is a standard treatment for metastatic hormone-sensitive prostate cancer (mHSPC); however, there are no biomarkers to guide clinical decisions regarding therapeutic options. We aimed to evaluate the clinical utility of serial circulating tumor DNA (ctDNA) sequencing in early prediction of the efficacy of chemohormonal therapy in patients with mHSPC. We conducted a retrospective observational study of 66 patients with mHSPC receiving chemohormonal therapy who underwent serial targeted gene-panel ctDNA sequencing. Peripheral blood samples were collected before treatment and after one cycle of chemotherapy. Kaplan–Meier and log-rank analyses were used to analyze the association between ctDNA status and disease progression-free survival. Serial changes in the ctDNA fraction and genetic alterations were also observed. After one cycle of chemotherapy, 23 (34.8%) patients displayed elevated ctDNA levels, whereas the other patients (65.2%, n = 43) did not. The median time to castration resistance in the group with reduced ctDNA levels was significantly longer than that in the group with increased ctDNA levels (17.70 vs. 8.43 months [mo], p < 0.001). Interestingly, patients with de novo alterations in homologous recombination pathway genes after treatment experienced a shorter time to castration resistance than that experienced by the remaining patients (8.02 vs. 13.20 mo, p = 0.011). The increased ctDNA levels or de novo alterations detected in homologous recombination pathway genes are a harbinger of disease progression. Early serial ctDNA sequencing could aid clinicians in making accurate treatment decisions.

Understanding the genetic mechanisms that underlie innate fear behavior is essential for improving the management and performance of the poultry industry. This study aimed to map QTL associated with innate fear responses in open field (OF) and tonic immobility (TI) tests, using an F2 chicken intercross population between 2 behaviorally distinct breeds: the aggressive Japanese Oh-Shamo (OSM) and the docile White Leghorn T-line (WL-T). Genome-wide QTL analysis for the OF and TI traits was conducted using 2,109 single nucleotide polymorphism (SNP) markers obtained through restriction site-associated DNA sequencing (RAD-seq). While several suggestive QTL were identified for TI and OF traits at genome-wide 20% significance threshold levels, the analysis revealed 2 significant QTL for 2 OF traits (total distance and maximum speed) at genome-wide 5% significance threshold levels. These significant QTL were located between 12.34 and 30.49 megabase (Mb) on chromosome 1 and between 40.02 and 63.38 Mb on chromosome 2, explaining 6.75 to 7.40% of the total variances. These findings provide valuable insights for the poultry industry, particularly in refining chicken management strategies and informing targeted breeding efforts., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: Infertility may also describe the inability to conceive whether a woman continues to have miscarriages. Female infertility is a complex condition which can suffer from a range of conditions and one-third of all infertility cases occur in women. Obesity is correlated by various complex pathways with infertility among women. Paraoxonase (PON) is an antioxidant and oxidant enzyme that plays an important role in a variety of conditions, including inflammation, oxidative stress, and lipid metabolism. Paraoxonase1 (PON1) gene variants can influence oxidative stress and thus female infertility susceptibility. However, no molecular studies have been conducted in Saudi infertile women and the Q192R polymorphism. The purpose of this study was to investigate into the relationship between the Q192R polymorphism in the PON1 gene and the risk of infertility in Saudi women. Study design: This case-control study was carried out with 122 female infertile women and 100 fertile women. Genomic DNA was extracted from 222 participants, quantified performed polymerase chain reaction, agarose gel run, and RFLP analysis. Finally, Sanger sequencing was validated in 10% of the samples obtained. Excel was used to collect clinical and genomic data, which was then analyzed statistically. Results: Anthropmetric and clinical data was assessed using both the cases and control women (p

Summary: Single-cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells; however, most genomic regions sequenced in single cells are non-informative. To overcome this issue, we developed a multi-patient-targeted (MPT) scDNA-seq method. MPT involves first performing bulk exome sequencing across a cohort of cancer patients to identify somatic mutations, which are then pooled together to develop a single custom targeted panel for high-throughput scDNA-seq using a microfluidics platform. We applied MPT to profile 330 mutations across 23,500 cells from 5 patients with triple negative-breast cancer (TNBC), which showed that 3 tumors were monoclonal and 2 tumors were polyclonal. From these data, we reconstructed mutational lineages and identified early mutational and copy-number events, including early TP53 mutations that occurred in all five patients. Collectively, our data suggest that MPT can overcome a major technical obstacle for studying tumor evolution using scDNA-seq by profiling information-rich mutation sites.

Single-cell sequencing has gained popularity in recent years. Despite its numerous applications, single-cell DNA sequencing data is highly error-prone due to technical biases arising from uneven sequencing coverage, allelic dropout, and amplification error. With these artifacts, the identification of somatic genomic variants becomes a challenging task, and over the years, several methods have been developed explicitly for this type of data. Single-cell variant callers implement distinct strategies, make different use of the data, and typically result in many discordant calls when applied to real data. Here, we review current approaches for single-cell variant calling, emphasizing single nucleotide variants. We highlight their potential benefits and shortcomings to help users choose a suitable tool for their data at hand.

Summary: To understand the fine differential elements that can lead to or prevent acute respiratory distress syndrome (ARDS) in COVID-19 patients, it is crucial to investigate the immune response architecture. We herein dissected the multiple layers of B cell responses by flow cytometry and Ig repertoire analysis from acute phase to recovery. Flow cytometry with FlowSOM analysis showed major changes associated with COVID-19 inflammation such as an increase of double-negative B-cells and ongoing plasma cell differentiation. This paralleled COVID-19-driven expansion of two disconnected B-cell repertoires. Demultiplexing successive DNA and RNA Ig repertoire patterns characterized an early expansion of IgG1 clonotypes with atypically long and uncharged CDR3, the abundance of this inflammatory repertoire being correlated with ARDS and likely pejorative. A superimposed convergent response included convergent anti-SARS-CoV-2 clonotypes. It featured progressively increasing somatic hypermutation together with normal-length or short CDR3 and it persisted until a quiescent memory B-cell stage after recovery.

Biological heterogeneity is a key feature of malignancies that significantly contributes to disease progression and therapy resistance. Residual/relapsed tumor foci may represent genetically divergent subclones, which remain uncovered as repeated and multiple tumor sampling is usually limited. The analysis of circulating free DNA (cfDNA) from the peripheral blood plasma (also called a liquid biopsy, LB) is a new achievement that provides an effective tool for follow-up monitoring of cancer-related genetic status. The present study highlights the phenomenon of mutational variability observed in patients with metastatic KRAS mutant colorectal cancer (mCRC) during treatment with bevacizumab in combination in a longitudinal fashion.The prospective study included 490 mCRC patients evaluated between 2020 and 2022 in our institution. Out of the 211 KRAS mutant cases (43.06%) 12 tumors were identified with multiple KRAS gene variants (5.68%). Detailed follow-up investigations were possible in 3 of these patients including the genotyping of the primary and available metastatic tumors, and the peripheral blood cfDNA. cfDNA was collected from three different time points before and between cycles of combined treatment with bevacizumab chemotherapy. KRAS gene variants were identified using reverse-hybridization strips, and next-generation sequencing (NGS), and confirmed by conventional Sanger sequencing.Interestingly, surgery and multiple treatment cycles reorganized the mutational profiles in the selected cases. The effect of the treatments resulted either in the overrepresentation of one of the pre-existing gene variants or in the appearance of new KRAS variants absent in the primary sample, according to the plasma cfDNA findings. Besides the KRAS variants demonstrated by targeted analysis, NGS mutational profiling identified some additional pathogenic variants from the cfDNA samples (including NRAS and MET alterations).In conclusion, plasma cfDNA sampling enables the monitoring of mutational heterogeneity and subclonal dynamics of the actual metastatic tumor mass in mCRC. The pattern of molecular profile potentially reflects a differential drug response determining further progression.

Excessively high concentrations of selenium (Se) in soil are toxic to crop plants, and inoculation with arbuscular mycorrhizal fungi (AMF) can reverse Se stress in maize (Zea mays L.). To investigate the underlying mechanisms, maize seedlings were treated with sodium selenate (5 mg Se[VI] kg-1) and/or AMF (Funneliformis mosseae and Claroideoglomus etunicatum). Dual RNA sequencing in mycorrhiza and 16 S ribosomal DNA sequencing in soil were performed. The results showed that Se(VI) application alone decreased plant dry weight, but increased plant Se concentration, total Se content (mainly selenocysteine), and root superoxide content. Inoculation with either F. mosseae or C. etunicatum increased plant dry weight, decreased Se accumulation and selenocysteine proportion, enhanced root peroxidase activity, and alleviated oxidative stress in Se(VI)-treated plants. Inoculation also downregulated the expression of genes encoding Se transporters, assimilation enzymes, and cysteine-rich receptor-like kinases in Se(VI)-stressed plants, similar to plant–pathogen interaction and glutathione metabolism related genes. Conversely, genes encoding selenium-binding proteins and those related to phenylpropanoid biosynthesis were upregulated in inoculated plants under Se(VI) stress. Compared with Se(VI)-free plants, Se tolerance index, symbiotic feedback percentage on plant dry weight, and root colonization rate were all increased in inoculated plants under Se(VI) stress, corresponding to upregulated expression of ‘key genes’ in symbiosis. AMF inoculation increased bacterial diversity, decreased the relative abundances of selenobacteria related to plant Se absorption (e.g., Proteobacteria and Firmicutes), and improved bacterial network complexity in Se(VI)-stressed soils. We suggest that stress-mediated enhancement of mycorrhizal symbiosis contributed to plant Se(VI) tolerance, whereas AMF-mediated reshaping of soil bacterial community structure prevented excessive Se accumulation in maize.

Here we describe a publicly available environmental DNA (eDNA) sequence dataset, consisting of samples collected from a National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) on Lake Erie. We sequenced samples drawn from before, during, and after a 2019 Microcystis harmful algal bloom (HAB) using 3rd generation sequencing with the Oxford Nanopore MinION device. We classified the eDNA reads taxonomically, and estimated the abundances of all taxa in each sample. While the taxonomic data showed evidence of significant human and E. coli contamination, we found abundant Mycrocystis, especially in the samples drawn from bloom environments. The raw sequence data are available in the Sequence Read Archive (SRA) under accession number PRJNA812770. HABs pose a significant and increasing risk, both to human health and to the Blue Economy, and genomic approaches to early detection promise to help mitigate these risks. As such, this dataset could be of interest to freshwater ecology research teams, or any stakeholders interested in the detection and mitigation of HABs.

We used next generation DNA sequencing to profile the microbiome of infected Diabetic Foot Ulcers (DFUs). The microbiota was correlated to clinical parameters and treatment outcomes to determine if directed antimicrobial therapy based on conventional microbiological cultures are relevant based on genomic analysis. Patients ≥ 18 years presenting with a new Diabetic Foot Infection (DFI) who had not received topical or oral antimicrobials in the two weeks prior to presentation, were eligible for enrolment. Tissue punch biopsies were obtained from infected DFUs for analysis. Demographics, clinical and laboratory data were collected and correlated against microbiota data. Thirty-nine patients with infected DFUs were recruited over twelve-months. Shorter duration DFUs (

Background: Genome-wide chromosomal instability, instead of specific somatic mutations or copy-number alterations in selected genes, is a significant property of cancer and may suggest a new strategy for treatment. Here we utilized cell-free DNA (cfDNA) sequencing to display the whole picture of chromosomal instability in patients with metastatic breast cancer (MBC), and evaluate its predictive value for patient survival. Methods: The clinical data of 65 patients who had frozen plasma and planned to change the therapeutic regimen were retrospectively enrolled. Low-coverage whole-genome sequencing of cfDNA was performed to generate the chromosomal instability represented by chromosomal instability (CIN) score. Results: Tumors with diverse status of hormone receptor and HER2 represented diverse chromosomal instability across the whole genome. According to the receiver operating characteristic curve and the statistical distribution, CIN score exceed 3881 was defined as “High”. 32 (53.3%) patients with high CIN score had similar clinicopathologic characteristics compared with low CIN score patients. The median overall survival of patients with high CIN score was 21.2 months (95% CI 14.1–28.3), which was significantly inferior to those with low CIN score (not reached, P = 0.006). Regardless of various treatment regimens, the median progression free survival in patients with high CIN score was 7.3 months, which was significantly worse than those in the low CIN score population (11.0 months, P = 0.034). Multivariate analysis revealed that CIN score was an independent prognostic factor, with hazard ratio of 3.563 (P = 0.005). Conclusions: To our knowledge, this is the first study illustrating the prognostic value of chromosomal instability derived from cfDNA in MBC.

Desiccation tolerance (DT) is one of the most important processes that seeds need to acquire during seed maturation because it will ensure survival until seeds have favourable conditions for germinating. Moreover, in the current climate warming context, heat stress and its impact on seed maturation and quality has been increasingly studied by the scientific community. Even if the transcriptomic changes enrolled in DT acquisition and seed heat stress response are fairly known, its epigenetic control has not yet been investigated. Medicago truncatula is a model legume for studying seed molecular mechanisms, which is known to display a delay in the acquisition of seed maturation mechanisms under heat conditions, except for desiccation acquisition. Our aim was to evaluate the role of two histone marks during embryo development under control and heat stress conditions on seed maturation processes, including the DT acquisition. These histone marks have either repressive (H3K27me3) or inducible (H3ac) effects on gene transcription, respectively corresponding to markers of packed and accessible chromatins. We identified all genomic regions bound to the H3K27me3 histones at four developmental stages and to the H3ac histones at the two earlier developmental stages during seed maturation, from seed filling to mature dry seeds, collected under optimal and heat stress conditions in the model legume, Medicago truncatula (reference genotype A17). A list of genes and promoters potentially linked to these two histone marks is reported and could provide clues about the epigenetic regulation of seed maturation between control and heat stress conditions, including the desiccation tolerance acquisition.

Rationale & Objective: Conventional culture can be insensitive for the detection of rare infections and for the detection of common infections in the setting of recent antibiotic usage. Patients receiving peritoneal dialysis (PD) with suspected peritonitis have a significant proportion of negative conventional cultures. This study examines the utility of metagenomic sequencing of peritoneal effluent cell-free DNA (cfDNA) for evaluating the peritoneal effluent in PD patients with and without peritonitis. Study Design: Prospective cohort study. Setting & Participants: We prospectively characterized cfDNA in 68 peritoneal effluent samples obtained from 33 patients receiving PD at a single center from September 2016 to July 2018. Outcomes: Peritoneal effluent, microbial, and human cfDNA characteristics were evaluated in culture-confirmed peritonitis and culture-negative peritonitis. Analytical Approach: Descriptive statistics were analyzed and microbial cfDNA was detected in culture-confirmed peritonitis and culture-negative peritonitis. Results: Metagenomic sequencing of cfDNA was able to detect and identify bacterial, viral, and eukaryotic pathogens in the peritoneal effluent from PD patients with culture-confirmed peritonitis, as well as patients with recent antibiotic usage and in cases of culture-negative peritonitis. Limitations: Parallel cultures were not obtained in all the peritoneal effluent specimens. Conclusions: Metagenomic cfDNA sequencing of the peritoneal effluent can identify pathogens in PD patients with peritonitis, including culture-negative peritonitis.

Summary: Lineage reconstruction is central to understanding tissue development and maintenance. To overcome the limitations of current techniques that typically reconstruct clonal trees using genetically encoded reporters, we report scPECLR, a probabilistic algorithm to endogenously infer lineage trees at a single-cell-division resolution by using 5-hydroxymethylcytosine (5hmC). When applied to 8-cell pre-implantation mouse embryos, scPECLR predicts the full lineage tree with greater than 95% accuracy. In addition, we developed scH&G-seq to sequence both 5hmC and genomic DNA from the same cell. Given that genomic DNA sequencing yields information on both copy number variations and single-nucleotide polymorphisms, when combined with scPECLR it enables more accurate lineage reconstruction of larger trees. Finally, we show that scPECLR can also be used to map chromosome strand segregation patterns during cell division, thereby providing a strategy to test the “immortal strand” hypothesis. Thus, scPECLR provides a generalized method to endogenously reconstruct lineage trees at an individual-cell-division resolution. Motivation: Reconstructing lineage trees is fundamental for gaining insights into basic biological and disease processes. Although powerful tools to infer cellular relationships have been developed, these methods typically have a clonal resolution that prevents the reconstruction of lineage trees at an individual-cell-division resolution. Moreover, these methods require a transgene, which poses a significant barrier to the study of human tissues. In this work, we develop a complementary approach that does not require exogenous labeling and can reconstruct each cell division within a lineage tree.

The use of environmental DNA (eDNA) technology for environmental monitoring is rapidly expanding, with applications for fisheries, coral reefs, harmful algal blooms, invasive and endangered species, and biodiversity monitoring. By enabling detection of species over space and time, eDNA fulfills a fundamental need of environmental surveys. Traditional surveys are expensive, require significant capital expenditure, and can be destructive; eDNA offers promise for cheaper, less invasive, and higher-resolution (i.e. genetic) assessments of environments and stocks. However, challenges in quantification, detection limits, biobanking capacity, reference databases, and data management and integration remain significant hurdles to efficient eDNA monitoring at global and decadal scale. Here, we consider the current state of eDNA technology and its suitability for the problems for which it is being used. We explore the current best practices, the logistical and social challenges that prevent eDNA from widespread adoption and benefit, and the emerging technologies that may address those challenges., Competing Interests: Conflict of interest statement The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Background: Circulating tumor DNA (ctDNA) sequencing is a promising approach for tailoring therapy in patients with cancer. We report hereby the results from a prospective study where we investigated the impact of comprehensive molecular profiling of ctDNA in patients with advanced solid tumors., Patients and Methods: Genomic analysis was performed using the FoundationOne Liquid CDx Assay [324 genes, tumor mutational burden (TMB), microsatellite instability status]. Each individual genomic report was reviewed and discussed weekly by a multidisciplinary tumor board (MTB). Actionable targets were classified by ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) tier leading to molecular-based treatment suggestions wherever it was possible., Results: Between December 2020 and November 2021, 1772 patients with metastatic solid tumors underwent molecular profiling. Median time to assay results was 12 days. Results were contributive for 1658 patients (94%). At least one actionable target was detected in 1059 patients (64%) with a total of 1825 actionable alterations including alteration of the DNA damage repair response pathway (n = 336, 18%), high TMB (>16 mutations/Mb; n = 243, 13%), PIK3CA mutations (n = 150, 8%), ERBB family pathway alterations (n = 127, 7%), PTEN alterations (n = 95, 5%), FGFR alterations (n = 67, 4%) and MET activations (n = 13, 0.7%). The MTB recommended a matched therapy for 597 patients (56%) with a total of 819 therapeutic orientations: clinical trials (n = 639, 78%), off-label/compassionate use (n = 81, 10%), approved drug (n = 51, 6%), and early access program (n = 48, 6%). In total, 122 patients (21%) were treated. Among the assessable patients (n = 107), 4 (4%) had complete response, 35 (33%) had partial response, 27 (25%) had stable disease, and 41 (38%) a progressive disease as best response. The median progression-free survival and median overall survival were 4.7 months (95% confidence interval 2.7-6.7 months) and 8.3 months (95% confidence interval 4.7-11.9 months) respectively., Conclusions: ctDNA sequencing with a large panel is an efficient approach to match patients with advanced cancer with targeted therapies., (Copyright © 2023 European Society for Medical Oncology. Published by Elsevier Ltd. All rights reserved.)

Mutation is a phenomenon inescapable for all life-forms, including bacteria. While bacterial mutation rates are generally low due to the operation of error-avoidance systems, sometimes they are elevated by many orders of magnitude. Such a state, known as a hypermutable state, can result from exposure to stress or to harmful environments. Studies of bacterial mutation frequencies and analysis of the precise types of mutations can provide insights into the mechanisms by which mutations occur and the possible involvement of error-avoidance pathways. Several approaches have been used for this, like reporter assays involving non-essential genes or mutation accumulation over multiple generations. However, these approaches give an indirect estimation, and a more direct approach for determining mutations is desirable. With the recent development of a DNA sequencing technique known as Duplex Sequencing, it is possible to detect rare variants in a population at a frequency of 1 in 10 7 base pairs or less. Here, we have applied Duplex Sequencing to study spontaneous mutations in E. coli. We also investigated the production of replication errors by using a mismatch-repair defective (mutL) strain as well as oxidative-stress associated mutations using a mutT-defective strain. For DNA from a wild-type strain we obtained mutant frequencies in the range of 10 -7 to 10 -8 depending on the specific base-pair substitution, but we argue that these mutants merely represent a background of the system, rather than mutations that occurred in vivo. In contrast, bona-fide in vivo mutations were identified for DNA from both the mutL and mutT strains, as indicated by specific increases in base substitutions that are fully consistent with their established in vivo roles. Notably, the data reproduce the specific context effects of in vivo mutations as well as the leading vs. lagging strand bias among DNA replication errors., Competing Interests: Conflict of interest The authors declare that there are no conflicts of interest., (Published by Elsevier B.V.)

We present an improved ddRAD-Seq protocol for identifying single nucleotide polymorphisms (SNPs). It utilizes selected restriction enzyme digestion fragments, quick acting ligases that are neutral with the restriction enzyme buffer eliminating buffer exchange steps, and adapters designed to be compatible with Illumina index primers. Library amplification and barcoding are completed in one PCR step, and magnetic beads are used to purify the genomic fragments from the ligation and library generation steps. Our protocol increases the efficiency and decreases the time to complete a ddRAD-Seq experiment. To demonstrate its utility, we compared SNPs from our protocol with those from whole genome resequencing data from Gossypium herbaceum and Gossypium arboreum. Principal component analysis demonstrated that the variability of the combined data was explained by the genotype (PC1) and methodology applied (PC2). Phylogenetic analysis showed that the SNPs from our method clustered with SNPs from the resequencing data of the corresponding genotype. Sequence alignments illustrated that for homozygous loci, more than 90% of the SNPs from the resequencing data were discovered by our method. Our analyses suggest that our ddRAD-Seq method is reliable in identifying SNPs suitable for phylogenetic and association genetic studies while reducing cost and time over known methods., Competing Interests: Declaration of competing interest The authors declare no conflict of interest regarding the research, authorship, funding, and publication of this work., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Abstract: Fish maws (dried swim bladders) have long been used for medicinal tonics and as a valuable food resource in Southeast Asia. However, it is difficult to identify the original species of fish maws sold in markets due to a lack of taxonomic characteristics. In the present study, 37 kinds of commercial fish maws from various medicinal material markets were examined, and gene sequences were successfully obtained from ca. 95% of the samples. Partial sequences of the 16S rRNA gene and cytochrome c oxidase I (COI) gene were obtained and used to investigate the origin of these commercial fish maws. Thirty-five specimens belonged to nine species: five croakers and four noncroakers. All species identification was supported by both high homogeneity (98 to 100%) and clear clustering with low within-group Kimura two-parameter divergence scores (0 to 0.04 for 16S rRNA and 0 to 0.07 for COI) and high between-group divergence scores (0.07 to 0.15 for 16S rRNA and 0.11 to 0.24 for COI). Croakers were the predominant species, accounting for 74% of the total fish maw specimens. The large demand for croakers has put some species at the risk of extinction due to overfishing. As a valuable food, fish maw has progressively become more popular and has been used as a substitute for shark fin. The identification results allowed us to learn more about the fish species available on the fish maw market and provided an indicator for possible control of threatened or endangered fish species. A probable correlation between the molecular characteristics and morphological features of fish maws was also found and could provide both consumers and merchants with an important reference for identifying the origin of fish maws., (Published 2022 by the International Association for Food Protection.)

Background: Prostatic carcinomas are a leading cancer and leading cause of mortality in the developed world. The etiology is diverse with underlying patient genetics, environmental factors, and microbial associations. Sequencing DNA for microbes allows the detection of potential disease relationships., Objective: Targeted 16S (prokaryotic) and 18S (eukaryotic) rDNA sequencing was performed to map the tumor microbial flora., Design: Twelve patients undergoing elective laparoscopic prostatectomy for biopsy proven adenocarcinoma of the prostate were enrolled. PCR and amplicon based sequencing was conducted; a portion of the sequencing results were confirmed by special stains., Setting: Patients were recruited by the urologist were prospectively scheduled for radical prostatectomy by 'Da Vinci' robotically assisted procedure in an outpatient setting. Samples were portioned in the hospital surgical suite at the time of prostatectomy., Participants: Male patients were requested to enter the study on a first come basis., Outcome Measurement and Statistical Analysis: Average age of the 12 participants was 64.3 years., Results and Limitations: DNA reads were detected and by 'best match' were identified belonging to Perkinsus, Hydrurus, Diversispora and Funneliformis genera, few samples displayed bacteria. Out of the 12 total patients, 11 patients had detectable DNA sequences matching arbuscular mycorrhizal fungi in the Glomeromycetes Class; Funneliformis mosseae and Diversasporum versiformis. Specific PCR for arbuscular mycorrhizal fungi failed to confirm Glomeromycetes Class; in-depth taxonomic analysis suggests a newer fungal grouping, not falling within an accepted Phylum of fungi. Calcoflour white staining of histological sections confirmed potential fungal markers in all 12 cases. Ochratoxin A antigen was identified by immunofluorescence in all 12 patient samples. The study was limited by the low sample volume and disease free normal controls., Conclusions: Fungi may play a significant role in adenocarcinoma of the prostate., Competing Interests: Declaration of Competing Interest Stephen E. Fry – owner of Fry Laboratories, BioID Genomics, and founder of The Southwest Center for Chronic Disease. All other authors have no conflicts: We acknowledge the Southwest Center for Chronic Disease for their support., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

With high global demand, seeds and gum of cluster bean are an essential raw material for various industries. Worldwide the low yield and productivity of guar (Cyamopsis tetragonoloba) create a large gap between demand and supply of guar. Therefore, to upsurge guar production, there is a need to improve the guar at genetic level. The genetic improvement of cluster bean is slower due to insufficient genomic resources, co-dominant marker system especially simple sequence repeats (SSRs) and inadequate information on the variability of germplasm. For development of microsatellite markers in cluster bean, DNA survey sequencing was carried out using the Miseq NGS system. DNA sequencing generated 73,934 sequences which harboured microsatellite repeat sequences. Successfully, a total of 15,399 marker-pairs were designed. The amplicon size ranged between 101–385 base-pairs. To validate the primers and to analyse the diversity in released varieties and germplasm of cluster bean, successfully amplifiable 21 primers pairs were used. With a mean of 2.05 alleles per primers, 21 bands were detected. The polymorphism information content (PIC) for polymorphic markers fluctuated between 0.04 - 0.67 (mean = 0.3). With the average dissimilarity coefficient of 0.11, four clusters were noticed with NJ analysis. The grouping pattern of genotypes indicated a low genetic variability in the guar gene pool. The results of this study suggested that instead of re-circulation of parental lines, hybrid breeding using diverse parents followed by selection should be performed for genetic improvement of cluster bean. Keywords: Cluster bean, Diversity, DNA marker, NGS, SSR

Pseudotaxus chienii is an endangered coniferous plant that is endemic to China. Because P. chienii is sessile and has a long life cycle, its options for responding to drastic or rapid changes in climate are limited. To survive locally, P. chienii must be able to adapt, and the species shows variations in leaf size along an environmental gradient from east to west. It is important to determine whether this phenotypic variation is driven by DNA methylation. Therefore, we performed a preliminarily survey using methylation-dependent restriction-site associated DNA sequencing (MethylRAD) to investigate the methylation status of three P. chienii individuals from heterogeneous ecological niches. In total, 372,611 CCGG tags and 726,332 CCHGG tags were obtained. The rate of high quality methylation tags for a specific site in the genome varied from 42.31% (Gxdms3-4) to 50.01% (Jxbj3-4) and 50.18% (Zjdxg3-6). The level of CCHGG methylation (16.63%) was higher than that of CCGG (13.60%), which may be why P. chienii has low levels of phenotypic variation. The methylation data can be accessed using the Sequence Read Archive (SRA) database (SRP128155). Keywords: Methylation, MethylRAD, Pseudotaxus chienii