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ABSTRACT Targeted high-throughput sequencing (HTS) has revolutionized the way we look at bacterial communities. It can be used for the species-specific detection of bacteria as well as for the determination of the microbiome and resistome and can be applied to samples from almost any environment. However, the results of targeted HTS can be influenced by many factors, which poses a major challenge for its use in clinical diagnostics. In this study, we investigated the impact of the DNA extraction method on the determination of the bacterial microbiome and resistome by targeted HTS using principles from metrology and diagnostics such as repeatability and analytical sensitivity. Sputum samples spiked with Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa at three different concentrations (103–106 cells/mL) were used. DNA was extracted from each sample on 2 separate days in three replicates each using three different extraction methods based on cetrimonium bromide, magnetic beads, and silica membranes. All three spiked bacteria were detected in sputum, and the DNA extraction method had no significant effect on detection. However, the DNA extraction method had significant effects on the composition of the microbiome and the resistome. The sequencing results were repeatable in the majority of cases. The silica membrane-based DNA extraction kit provided the most repeatable results and the highest diversity of the microbiome and resistome. Targeted HTS has been shown to be a reliable tool for determining the microbiome and resistome; however, the method of DNA extraction should be carefully selected to minimize its impact on the results.IMPORTANCEHigh-throughput sequencing (HTS) is one of the crucial new technologies that gives us insights into previously hidden parts of microbial communities. The DNA extraction method is an important step that can have a major impact on the results, and understanding this impact is of paramount importance for their reliable interpretation. Our results are of great value for the interpretation of sputum microbiome and resistome results obtained by targeted HTS. Our findings allow for a more rational design of future microbiome studies, which would lead to higher repeatability of results and easier comparison between different laboratories. This could also facilitate the introduction of targeted HTS in clinical microbiology for reliable identification of pathogenic bacteria and testing for antimicrobial resistance (AMR). As AMR is a major threat to public health, the improved methods for determining AMR would bring great benefits to both the healthcare system and society as a whole.

Targeted high-throughput sequencing (HTS) has revolutionized the way we look at bacterial communities. It can be used for the species-specific detection of bacteria as well as for the determination of the microbiome and resistome and can be applied to samples from almost any environment. However, the results of targeted HTS can be influenced by many factors, which poses a major challenge for its use in clinical diagnostics. In this study, we investigated the impact of the DNA extraction method on the determination of the bacterial microbiome and resistome by targeted HTS using principles from metrology and diagnostics such as repeatability and analytical sensitivity. Sputum samples spiked with Acinetobacter baumannii , Klebsiella pneumoniae , and Pseudomonas aeruginosa at three different concentrations (10 3 -10 6 cells/mL) were used. DNA was extracted from each sample on 2 separate days in three replicates each using three different extraction methods based on cetrimonium bromide, magnetic beads, and silica membranes. All three spiked bacteria were detected in sputum, and the DNA extraction method had no significant effect on detection. However, the DNA extraction method had significant effects on the composition of the microbiome and the resistome. The sequencing results were repeatable in the majority of cases. The silica membrane-based DNA extraction kit provided the most repeatable results and the highest diversity of the microbiome and resistome. Targeted HTS has been shown to be a reliable tool for determining the microbiome and resistome; however, the method of DNA extraction should be carefully selected to minimize its impact on the results., Importance: High-throughput sequencing (HTS) is one of the crucial new technologies that gives us insights into previously hidden parts of microbial communities. The DNA extraction method is an important step that can have a major impact on the results, and understanding this impact is of paramount importance for their reliable interpretation. Our results are of great value for the interpretation of sputum microbiome and resistome results obtained by targeted HTS. Our findings allow for a more rational design of future microbiome studies, which would lead to higher repeatability of results and easier comparison between different laboratories. This could also facilitate the introduction of targeted HTS in clinical microbiology for reliable identification of pathogenic bacteria and testing for antimicrobial resistance (AMR). As AMR is a major threat to public health, the improved methods for determining AMR would bring great benefits to both the healthcare system and society as a whole., Competing Interests: The authors declare no conflict of interest.

Congenital limb malformations (CLM) comprise many conditions affecting limbs and more than 150 associated genes have been reported. Due to this large heterogeneity, a high proportion of patients remains without a molecular diagnosis. In the last two decades, advances in high throughput sequencing have allowed new methodological strategies in clinical practice. Herein, we report the screening of 52 genes/regulatory sequences by multiplex high‐throughput targeted sequencing, in a series of 352 patients affected with various CLM, over a 3‐year period of time. Patients underwent a clinical triage by expert geneticists in CLM. A definitive diagnosis was achieved in 35.2% of patients, the yield varying considerably, depending on the phenotype. We identified 112 single nucleotide variants and 26 copy‐number variations, of which 52 are novel pathogenic or likely pathogenic variants. In 6% of patients, variants of uncertain significance have been found in good candidate genes. We showed that multiplex targeted high‐throughput sequencing works as an efficient and cost‐effective tool in clinical practice for molecular diagnosis of congenital limb malformations. Careful clinical evaluation of patients may maximize the yield of CLM panel testing. [ABSTRACT FROM AUTHOR]

Abstract Background/purpose Recently, the mutational background of diffuse large B cell lymphoma (DLBCL) has been revealed, identifying specific genetic events that drive lymphomagenesis. However, the prognostic value of these mutations remains to be determined. Prognostic biomarkers in DLBCL are urgently needed, since the current clinical parameter-based factors (e.g., International Prognostic Index (IPI)) are insufficient, particularly in identifying patients with poor prognosis who might benefit from alternative treatments. Methods We investigated the prognostic value of somatic mutations in DLBCL in a clinical trial (NCT00544219) patient cohort homogenously treated with six cycles of rituximab, cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisone (R-CHOP), followed by two cycles of R (R-CHOP-14). The primary endpoint was event-free survival (EFS) at 2 years. Secondary endpoints included progression-free survival (PFS) and overall survival (OS). Targeted high-throughput sequencing (HTS) of tumor genomic DNA was performed on all exons or hotspots of 68 genes frequently mutated in B cell lymphomas. Mutational data was correlated with the endpoints to identify prognostic associations. Results Targeted HTS detected somatic mutations in 71/76 (93%) of investigated cases. The most frequently mutated genes were KMT2D, SOCS1, GNA13, and B2M. Survival analysis revealed that CREBBP- and EP300-mutated cases had significantly worse OS, PFS, and EFS. In addition, ATM mutations predicted worse outcomes for all three clinical endpoints in germinal center B cell-like DLBCL. In contrast, SOCS1 mutations were associated with better PFS. On multivariable analysis taken into account IPI and failure to achieve complete remission, CREBBP and EP300 mutations remained significant to predict worse OS, PFS, and EFS. Conclusion Targeted mutation analysis of a uniformly treated prospective clinical trial DLBCL cohort identifies tumor-based genetic prognostic markers that could be useful in the clinical management of such patients. Trial registration ClinicalTrials.gov NCT00544219

Summary: Miniature inverted‐repeat transposable elements (MITEs) are structurally homogeneous non‐autonomous DNA transposons with high copy numbers that play important roles in genome evolution and diversification. Here, we analyzed the rice high‐tillering dwarf (htd) mutant in an advanced backcross population between cultivated and wild rice, and identified an active MITE named miniature Jing (mJing). The mJing element belongs to the PIF/Harbinger superfamily. japonica rice var. Nipponbare and indica var. 93‐11 harbor 72 and 79 mJing family members, respectively, have undergone multiple rounds of amplification bursts during the evolution of Asian cultivated rice (Oryza sativa L.). A heterologous transposition experiment in Arabidopsis thaliana indicated that the autonomous element Jing is likely to have provides the transposase needed for mJing mobilization. We identified 297 mJing insertion sites and their presence/absence polymorphism among 71 rice samples through targeted high‐throughput sequencing. The results showed that the copy number of mJing varies dramatically among Asian cultivated rice (O. sativa), its wild ancestor (O. rufipogon), and African cultivated rice (O. glaberrima) and that some mJing insertions are subject to directional selection. These findings suggest that the amplification and removal of mJing elements have played an important role in rice genome evolution and species diversification. Significance Statement: An active MITE in rice, named mJing, was identified by analyzing a spontaneous high‐tillering dwarf mutant in an advanced backcross population between cultivated and wild rice. Through targeted high‐throughput sequencing, we identified 297 mJing insertion sites in rice and found that the copy number of mJing varies dramatically among O. sativa, O. rufipogon, and O. glaberrima, suggesting that the amplification of mJing plays an important role in rice genome evolution. [ABSTRACT FROM AUTHOR]

Background/purpose: Recently, the mutational background of diffuse large B cell lymphoma (DLBCL) has been revealed, identifying specific genetic events that drive lymphomagenesis. However, the prognostic value of these mutations remains to be determined. Prognostic biomarkers in DLBCL are urgently needed, since the current clinical parameter-based factors (e.g., International Prognostic Index (IPI)) are insufficient, particularly in identifying patients with poor prognosis who might benefit from alternative treatments. Methods: We investigated the prognostic value of somatic mutations in DLBCL in a clinical trial (NCT00544219) patient cohort homogenously treated with six cycles of rituximab, cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisone (R-CHOP), followed by two cycles of R (R-CHOP-14). The primary endpoint was eventfree survival (EFS) at 2 years. Secondary endpoints included progression-free survival (PFS) and overall survival (OS). Targeted high-throughput sequencing (HTS) of tumor genomic DNA was performed on all exons or hotspots of 68 genes frequently mutated in B cell lymphomas. Mutational data was correlated with the endpoints to identify prognostic associations. Results: Targeted HTS detected somatic mutations in 71/76 (93%) of investigated cases. The most frequently mutated genes were KMT2D, SOCS1, GNA13, and B2M. Survival analysis revealed that CREBBP- and EP300-mutated cases had significantly worse OS, PFS, and EFS. In addition, ATM mutations predicted worse outcomes for all three clinical endpoints in germinal center B cell-like DLBCL. In contrast, SOCS1 mutations were associated with better PFS. On multivariable analysis taken into account IPI and failure to achieve complete remission, CREBBP and EP300 mutations remained significant to predict worse OS, PFS, and EFS. Conclusion: Targeted mutation analysis of a uniformly treated prospective clinical trial DLBCL cohort identifies tumor-based genetic prognostic markers that could be useful in the clinical management of such patients. [ABSTRACT FROM AUTHOR]

High-throughput amplicon sequencing, known as metabarcoding, is a powerful technique to decipher exhaustive microbial diversity considering specific gene markers. While most of the studies investigating ecosystem functioning through microbial diversity targeted only one domain of life, either bacteria, or archaea or microeukaryotes, the remaining challenge in microbial ecology is to uncover the integrated view of microbial diversity occurring in ecosystems. Indeed, interactions occurring between the different microbial counterparts are now recognized having a great impact on stability and resilience of ecosystems. Here, we summarize protocols describing sampling, molecular, and simultaneous metabarcoding of bacteria, archaea, and microeukaryotes, as well as a bioinformatic pipeline allowing the study of exhaustive microbial diversity in natural aquatic saline samples., (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Miniature inverted-repeat transposable elements (MITEs) are a subset of short, non-autonomous class II transposable elements and also a major source of eukaryotic genomic variation. Therefore, genome-wide identification of MITE insertions can help to shed light on their copy number variation and genome insertion features. Here, we present a protocol for targeted MITE identification and genotyping by high-throughput sequencing. By introducing genome-wide detection of the rice mJing MITE as an example, we describe DNA extraction, DNA fragmentation, targeted DNA fragment enrichment, library construction for high-throughput sequencing, and sequence analysis.