Short Fragments Research Articles

High cell-free DNA is associated with disease progression, inflammasome activation and elevated levels of inflammasome-related cytokine IL-18 in patients with myelofibrosis.

Myelofibrosis (MF) is a clonal hematopoietic stem cell disorder classified among chronic myeloproliferative neoplasms, characterized by exacerbated myeloid and megakaryocytic proliferation and bone marrow fibrosis. It is induced by driver (JAK2/CALR/MPL) and high molecular risk mutations coupled to a sustained inflammatory state that contributes to disease pathogenesis. Patient outcome is determined by stratification into risk groups and refinement of current prognostic systems may help individualize treatment decisions. Circulating cell-free (cf)DNA comprises short fragments of double-stranded DNA, which promotes inflammation by stimulating several pathways, including inflammasome activation, which is responsible for IL-1β and IL-18 maturation and release. In this work, we assessed the contribution of cfDNA as a marker of disease progression and mediator of inflammation in MF. cfDNA was increased in MF patients and higher levels were associated with adverse clinical outcome, a high-risk molecular profile, advanced disease stages and inferior overall survival, indicating its potential value as a prognostic marker. Cell-free DNA levels correlated with tumor burden parameters and markers of systemic inflammation. To mimic the effects of cfDNA, monocytes were stimulated with poly(dA:dT), a synthetic double-stranded DNA. Following stimulation, patient monocytes released higher amounts of inflammasome-processed cytokine, IL-18 to the culture supernatant, reflecting enhanced inflammasome function. Despite overexpression of cytosolic DNA inflammasome sensor AIM2, IL-18 release from MF monocytes was shown to rely mainly on the NLRP3 inflammasome, as it was prevented by NLRP3-specific inhibitor MCC950. Circulating IL-18 levels were increased in MF plasma, reflecting in vivo inflammasome activation, and highlighting the previously unrecognized involvement of this cytokine in MF cytokine network. Monocyte counts were higher in patients and showed a trend towards correlation with IL-18 levels, suggesting monocytes represent a source of circulating IL-18. The close correlation shown between IL-18 and cfDNA levels, together with the finding of enhanced DNA-triggered IL-18 release from monocytes, suggest that cfDNA promotes inflammation, at least in part, through inflammasome activation. This work highlights cfDNA, the inflammasome and IL-18 as additional players in the complex inflammatory circuit that fosters MF progression, potentially providing new therapeutic targets.

Exploitation of Catalytic Dyads by Short Peptide‐Based Nanotubes for Enantioselective Covalent Catalysis

AbstractExtant enzymes with precisely arranged multiple residues in their three‐dimensional binding pockets are capable of exhibiting remarkable stereoselectivity towards a racemic mixture of substrates. However, how early protein folds that possibly featured short peptide fragments facilitated enantioselective catalytic transformations important for the emergence of homochirality still remains an intriguing open question. Herein, enantioselective hydrolysis was shown by short peptide‐based nanotubes that could exploit multiple solvent‐exposed residues to create chiral binding grooves to covalently interact and subsequently hydrolyse one enantiomer preferentially from a racemic pool. Single or double‐site chiral mutations led to opposite but diminished and even complete loss of enantioselectivities, suggesting the critical roles of the binding enthalpies from the precise localization of the active site residues, despite the short sequence lengths. This work underpins the enantioselective catalytic prowess of short peptide‐based folds and argues their possible role in the emergence of homochiral chemical inventory.

Exploitation of Catalytic Dyads by Short Peptide-Based Nanotubes for Enantioselective Covalent Catalysis.

Extant enzymes with precisely arranged multiple residues in their three-dimensional binding pockets are capable of exhibiting remarkable stereoselectivity towards a racemic mixture of substrates. However, how early protein folds that possibly featured short peptide fragments facilitated enantioselective catalytic transformations important for the emergence of homochirality still remains an intriguing open question. Herein, enantioselective hydrolysis was shown by short peptide-based nanotubes that could exploit multiple solvent-exposed residues to create chiral binding grooves to covalently interact and subsequently hydrolyse one enantiomer preferentially from a racemic pool. Single or double-site chiral mutations led to opposite but diminished and even complete loss of enantioselectivities, suggesting the critical roles of the binding enthalpies from the precise localization of the active site residues, despite the short sequence lengths. This work underpins the enantioselective catalytic prowess of short peptide-based folds and argues their possible role in the emergence of homochiral chemical inventory.

Circulating cell-free DNA fragmentation is a stepwise and conserved process linked to apoptosis

BackgroundCirculating cell-free DNA (cfDNA) is a pool of short DNA fragments mainly released from apoptotic hematopoietic cells. Nevertheless, the precise physiological process governing the DNA fragmentation and molecular profile of cfDNA remains obscure. To dissect the DNA fragmentation process, we use a human leukemia cell line HL60 undergoing apoptosis to analyze the size distribution of DNA fragments by shallow whole-genome sequencing (sWGS). Meanwhile, we also scrutinize the size profile of plasma cfDNA in 901 healthy human subjects and 38 dogs, as well as 438 patients with six common cancer types by sWGS.ResultsDistinct size distribution profiles were observed in the HL60 cell pellet and supernatant, suggesting fragmentation is a stepwise process. Meanwhile, C-end preference was seen in both intracellular and extracellular cfDNA fragments. Moreover, the cfDNA profiles are characteristic and conserved across mammals. Compared with healthy subjects, distinct cfDNA profiles with a higher proportion of short fragments and lower C-end preference were found in cancer patients.ConclusionsOur study provides new insight into fragmentomics of circulating cfDNA processing, which will be useful for early diagnosis of cancer and surveillance during cancer progression.

BIOM-60. CONCATEMERIC CONSENSUS ERROR CORRECTED SEQUENCING (CCEC-SEQ) APPROACH FOR PLASMA CELL-FREE TUMOR DNA-BASED TREATMENT RESPONSE MONITORING IN PATIENTS WITH BRAIN TUMORS

Abstract BACKGROUND Diffuse midline gliomas (DMG) are aggressive and universally fatal with a median survival rate of only 9-12 months. MRIs can be difficult to interpret due to diffuse disease and radiation-induced swelling. Recent work has shown that liquid biopsy of cell-free tumor DNA (cf-tDNA) in patient plasma using digital droplet PCR (ddPCR) might help supplement radiographic monitoring, and enable more quantitative, low-cost, rapid tests. Nanopore sequencing has been employed to quickly and affordably measure and track treatment response in DMG patient cerebrospinal fluid (CSF) where cf-tDNA variant allele fractions are high ( >1%). However, plasma cf-tDNA signal is much lower than CSF (typically < 0.5%), and no platforms have demonstrated the feasibility of quickly (< 1day) sequencing brain tumor cf-tDNA in plasma samples to our knowledge. METHODS To solve these problems, we have developed a same-day, multiplexed, concatemeric consensus error corrected (CCEC-Seq) assay approach for Nanopore sequencing. We combine multiplex PCR and loop-mediated isothermal amplification (LAMP) to capture short cf-tDNA fragments and concatemerize them. Sequenced concatemer segments should agree, and allow informatic consensus error correction, reducing Nanopore error rates. RESULTS We generated a multiplex (n = 8) DMG hotspot loci panel, which was able to reduce sequencing false positive call rates by 3.1x-10.8x. We were able to employ the CCEC-Seq technique on serial plasma samples from a patient with DMG with H3.3K27M mutation undergoing treatment with ONC201 with results comparable to a previously validated ddPCR assay. Ongoing work will apply this multiplex CCEC-Seq panel to a larger cohort of serial DMG plasma samples. CONCLUSION To our knowledge, this is the first demonstration of same-day, sequencing-based, liquid biopsy protocol for a plasma sample from a brain tumor patient. This approach has the potential to greatly reduce resource requirements, and ease of operation for liquid biopsy for DMG and other brain tumor disease monitoring.

BIOM-27. CELL-FREE DNA-BASED LIQUID BIOPSIES FOR THE REAL-TIME TRACKING OF TUMOR BURDEN AND TREATMENT RESPONSE IN GLIOBLASTOMA

Abstract Cell-free DNA (cfDNA) are short fragments of DNA that are released by apoptotic or necrotic cells into bodily fluids. It has emerged as a potential diagnostic tool allowing for the detection and analysis of tumor-derived biomarkers in cancer. Despite the detailed view provided by clinical imaging, its inability to quantify tumor burden and distinguish between pseudo-progression and pseudo-response poses a challenge for patients. In this study, we sought to investigate the effectiveness of cfDNA as a liquid biopsy tool to track tumor burden and disease progression in real time in different glioblastoma models and through different types of biofluids. To examine the feasibility of cfDNA-based tumor tracking we cultivated several patient-derived glioblastoma lines, purified cfDNA and performed sequencing. Further analysis revealed that dead cells were associated with an elevated cfDNA yield and altered fragment size profiles. Genomic sequencing revealed consistent variants shared across serial cfDNA timepoints, strengthening the suggestion that cfDNA can be used as a non-invasive biomarker. In order to demonstrate the clinical implications of our methodology, we collected a preliminary batch of n = 43 longitudinal intraventricular cerebrospinal fluid (CSF) samples from a patient that underwent CAR-T treatment over the span of two years. We observed a marked increase in cfDNA yield post-treatment compared to samples taken prior to treatment administration. Furthermore, cfDNA-based estimates of tumor burden measured as allele fraction specific to the tumor, tracked with clinical imaging-based tumor size estimates. These preliminary findings provide compelling evidence supporting the clinical utility of cfDNA analysis in monitoring the effectiveness and dynamics of CAR-T treatment. By tracking cfDNA levels in CSF, we can identify patterns reflecting treatment response and aid in assessing the therapeutic efficiency of CAR-T treatment in glioma patients. Further investigations with larger patient cohorts and more comprehensive data analysis to validate these findings are actively underway.

The role of miR-223 in breast cancer; an integrated analysis.

Breast cancer (BRCA) is the most common and leading cause of cancer-related death in women. MicroRNAs (miRNAs) are short non-coding RNA fragments that play a role in regulating gene expression including the cancer-related pathways. Although dysregulation of miR-223 has been demonstrated in recent studies to have prognostic value in various cancers, its diagnostic and prognostic role in BRCA remains unknown. The expression and the prognostic value of miR-223 were evaluated using the TCGA data and verified by qRT-PCR. Subsequently, potential oncogenic targets of miR-223 were identified by using three different miRNA target prediction tools and the GEPIA database. In addition to these databases, protein-protein interaction network, molecular functions, prognostic value, and the expression level of miR-223 targets were included by using several other bioinformatics tools and databases; such as, UALCAN, GeneMANIA and Metascape. The bioinformatic results demonstrated that miR-223 downregulated in BRCA and associated with poor prognosis of patients. In vitro experiments validated that miR-223 significantly downregulated in BRCA cells, MCF-7, SK-BR3, MDA-MB-231 and HCC1500, compared to normal breast cell line hTERT-HME1. Furthermore, ANLN, DYNLT1, LRRC59, SLC12A8 and TPM3 genes were identified as the potential oncogenic target genes of miR-223 based on their expression and prognosis in BRCA. Additionally, protein-protein interaction network of these target genes was mainly enriched in dynein intermediate chain binding, cell division, regulation of cell cycle process, and positive regulation of cellular component biogenesis. The results suggests that miR-223 and its targets, ANLN, DYNLT1, LRRC59, SLC12A8 and TPM3, might be reliable potential prognostic biomarkers in BRCA patients.

Comparison of DNA Extraction Methods for the Detection of Canned Tuna Species with DNA Mini-Barcoding

Tuna is susceptible to species mislabeling due to its high demand, quick rate of production, and wide range of price points. DNA barcoding, a sequencing-based technique, allows for the detection of species mislabeling by targeting a standardized region of DNA. A mitochondrial control region (CR) DNA barcode has been found to be capable of species discrimination for tuna, but it is challenging to recover the entire DNA fragment from canned tuna. While a short fragment of CR, referred to as a “mini-barcode,” has shown some success with canned tuna species identification, more research is needed to improve identification rates. The objective of this study was to determine the optimal DNA extraction method for species identification of canned tuna using CR mini-barcoding. Four commercial DNA extraction kits were compared using a sample set of 24 different cans of tuna labeled as albacore, light tuna, skipjack, or yellowfin. All samples were tested in duplicate. The greatest success was found using the Qiagen DNeasy Blood and Tissue Kit and the Qiagen DNeasy Mericon Food Kit, which resulted in species identification for 42% of the samples. In comparison, the MP Biomedicals FastPrep-24 + Machery-Nagel NucleoSpin Tissue Kit resulted in species identification for 30% of the samples and the Qiagen DNeasy Blood and Tissue Kit + PowerClean Pro Cleanup Kit resulted in species identification for 21% of the samples. Overall, the top-performing DNA extraction methods for use with CR mini-barcoding of canned tuna products were determined to be the DNeasy Blood and Tissue Kit and the DNeasy Mericon Food Kit.

Self-reported sleep fragmentation and sleep duration and their association with cognitive function in PROTECT, a large digital community-based cohort of people over 50.

Sleep is vital for normal cognitive function in daily life, but is commonly disrupted in older adults. Poor sleep can be detrimental to mental and physical health, including cognitive function. This study assessed the association between self-reported short (<6h) and long (>9h) sleep duration and sleep fragmentation (3≥ nightly awakenings) in cognitive function. Cross-sectional data from 8508 individuals enroled in the PROTECT study aged 50 and above formed the basis of the univariate linear regression analysis conducted on four cognitive outcomes assessing visuospatial episodic memory (VSEM), spatial working memory, verbal working memory (VWM), and verbal reasoning (VR). Short (ß=-0.153, 95% CI [-0.258, -0.048], p=0.004) and long sleep duration (ß=-0.459, 95% CI [-0.826, -0.091], p=0.014) were significantly associated with poorer cognitive performance in VWM. Long sleep duration (ß=-2.986, 95% CI [-5.453, -0.518], p=0.018) was associated with impaired VR. Short sleep (ß=-0.133, 95% CI [-0.196, -0.069], p = <0.001) and sleep fragmentation (ß=-0.043, 95% CI [-0.085, -0.001], p=0.043) were associated with reduced VSEM. These associations remained significant when including other established risk factors for dementia and cognitive decline (e.g., depression, hypertension). Our findings suggest that short and long sleep durations and fragmented sleep, may be risk factors for a decline in cognitive processes such as working memory, VR and episodic memory thus might be potential targets for interventions to maintain cognitive health in ageing.

Relevance of molecular systematics in insect pest management

Relevance of molecular systematics in insect pest management

Multidimensional fragmentomic profiling of cell-free DNA released from patient-derived organoids

BackgroundFragmentomics, the investigation of fragmentation patterns of cell-free DNA (cfDNA), has emerged as a promising strategy for the early detection of multiple cancers in the field of liquid biopsy. However, the clinical application of this approach has been hindered by a limited understanding of cfDNA biology. Furthermore, the prevalence of hematopoietic cell-derived cfDNA in plasma complicates the in vivo investigation of tissue-specific cfDNA other than that of hematopoietic origin. While conventional two-dimensional cell lines have contributed to research on cfDNA biology, their limited representation of in vivo tissue contexts underscores the need for more robust models. In this study, we propose three-dimensional organoids as a novel in vitro model for studying cfDNA biology, focusing on multifaceted fragmentomic analyses.ResultsWe established nine patient-derived organoid lines from normal lung airway, normal gastric, and gastric cancer tissues. We then extracted cfDNA from the culture medium of these organoids in both proliferative and apoptotic states. Using whole-genome sequencing data from cfDNA, we analyzed various fragmentomic features, including fragment size, footprints, end motifs, and repeat types at the end. The distribution of cfDNA fragment sizes in organoids, especially in apoptosis samples, was similar to that found in plasma, implying occupancy by mononucleosomes. The footprints determined by sequencing depth exhibited distinct patterns depending on fragment sizes, reflecting occupancy by a variety of DNA-binding proteins. Notably, we discovered that short fragments (< 118 bp) were exclusively enriched in the proliferative state and exhibited distinct fragmentomic profiles, characterized by 3 bp palindromic end motifs and specific repeats.ConclusionsIn conclusion, our results highlight the utility of in vitro organoid models as a valuable tool for studying cfDNA biology and its associated fragmentation patterns. This, in turn, will pave the way for further enhancements in noninvasive cancer detection methodologies based on fragmentomics.

Plasma Cell-Free DNA Is a Potential Biomarker for Diagnosis of Calcific Aortic Valve Disease

Introduction: Calcific aortic valve disease (CAVD) is the third most common cardiovascular disease in aging populations. Despite a growing number of biomarkers having been shown to be associated with CAVD, a marker suitable for routine testing in clinical practice is still needed. Plasma cell-free DNA (cfDNA) has been suggested as a biomarker for diagnosis and prognosis in multiple diseases. In this study, we aimed to test whether cfDNA could be used as a biomarker for the diagnosis of CAVD. Methods: Serum samples were collected from 137 diagnosed CAVD patients and 180 normal controls. The amount of cfDNA was quantified by amplifying a short fragment (ALU 115) and a long fragment (ALU 247) using quantitative real-time PCR. The cfDNA integrity (cfDI) was calculated as the ratio of ALU247 to ALU115. The association between CAVD and cfDI was evaluated using regression analysis. Results: CAVD patients had increased ALU 115 fragments (median, 185.14 (416.42) versus 302.83 (665.41), p < 0.05) but a decreased value of cfDI (mean, 0.50 ± 0.25 vs. 0.41 ± 0.26, p < 0.01) in their serum when compared to controls. This difference was more dramatic in non-rheumatic CAVD patients (p < 0.001) versus rheumatic CAVD patients (no significant difference). Similarly, CAVD patients with bicuspid aortic valve (BAV) (p < 0.01) showed a greater difference than non-BAV CAVD patients (p < 0.05). Linear regression and logistic regression showed that cfDI was independently and significantly associated with the presence of CAVD (95% CI, 0.096 to 0.773, p < 0.05). The ROC assay revealed that cfDI combined with clinical characteristics had a better diagnostic value than cfDI alone (AUC = 0.6191, p < 0.001). Conclusion: cfDI may be a potential biomarker for diagnosis of CAVD.

Computational completion of the Aurora interaction region of N-Myc in the Aurora a kinase complex

Inhibiting protein–protein interactions of the Myc family is a viable pharmacological strategy for modulation of the levels of Myc oncoproteins in cancer. Aurora A kinase (AurA) and N-Myc interaction is one of the most attractive targets of this strategy because formation of this complex blocks proteasomal degradation of N-Myc in neuroblastoma. Two crystallization studies have captured this complex (PDB IDs: 5g1x, 7ztl), partially resolving the AurA interaction region (AIR) of N-Myc. Prompted by the missing N-Myc fragment in these crystal structures, we modeled the complete structure between AurA and N-Myc, and comprehensively analyzed how the incomplete and complete N-Myc behave in complex by molecular dynamics simulations. Molecular dynamics simulations of the incomplete PDB complex (5g1x) repeatedly showed partial dissociation of the short N-Myc fragment (61–89) from the kinase. The missing N-Myc (19–60) fragment was modeled utilizing the N-terminal lobe of AurA as the protein–protein interaction surface, wherein TPX2, a well-known partner of AurA, also binds. Binding free energy calculations along with flexibility analysis confirmed that the complete AIR of N-Myc stabilizes the complex, accentuating the N-terminal lobe of AurA as a binding site for the missing N-Myc fragment (19–60). We further generated additional models consisting of only the missing N-Myc (19–60), and the fused form of TPX2 (7–43) and N-Myc (61–89). These partners also formed more stable interactions with the N-terminal lobe of AurA than did the incomplete N-Myc fragment (61–89) in the 5g1x complex. Altogether, this study provides structural insights into the involvement of the N-terminus of the AIR of N-Myc and the N-terminal lobe of AurA in formation of a stable complex, reflecting its potential for effective targeting of N-Myc.

Synapsin condensation controls synaptic vesicle sequestering and dynamics

Neuronal transmission relies on the regulated secretion of neurotransmitters, which are packed in synaptic vesicles (SVs). Hundreds of SVs accumulate at synaptic boutons. Despite being held together, SVs are highly mobile, so that they can be recruited to the plasma membrane for their rapid release during neuronal activity. However, how such confinement of SVs corroborates with their motility remains unclear. To bridge this gap, we employ ultrafast single-molecule tracking (SMT) in the reconstituted system of native SVs and in living neurons. SVs and synapsin 1, the most highly abundant synaptic protein, form condensates with liquid-like properties. In these condensates, synapsin 1 movement is slowed in both at short (i.e., 60-nm) and long (i.e., several hundred-nm) ranges, suggesting that the SV-synapsin 1 interaction raises the overall packing of the condensate. Furthermore, two-color SMT and super-resolution imaging in living axons demonstrate that synapsin 1 drives the accumulation of SVs in boutons. Even the short intrinsically-disordered fragment of synapsin 1 was sufficient to restore the native SV motility pattern in synapsin triple knock-out animals. Thus, synapsin 1 condensation is sufficient to guarantee reliable confinement and motility of SVs, allowing for the formation of mesoscale domains of SVs at synapses in vivo.

Staphylococcus aureus sacculus mediates activities of M23 hydrolases

Peptidoglycan, a gigadalton polymer, functions as the scaffold for bacterial cell walls and provides cell integrity. Peptidoglycan is remodelled by a large and diverse group of peptidoglycan hydrolases, which control bacterial cell growth and division. Over the years, many studies have focused on these enzymes, but knowledge on their action within peptidoglycan mesh from a molecular basis is scarce. Here, we provide structural insights into the interaction between short peptidoglycan fragments and the entire sacculus with two evolutionarily related peptidases of the M23 family, lysostaphin and LytM. Through nuclear magnetic resonance, mass spectrometry, information-driven modelling, site-directed mutagenesis and biochemical approaches, we propose a model in which peptidoglycan cross-linking affects the activity, selectivity and specificity of these two structurally related enzymes differently.

DNA methylation-based age estimation and quantification of the degradation levels of bisulfite-converted DNA

DNA methylation modifications are known to influence epigenetic phenomena and have been a focus of forensic science research for some time. Degraded DNA after bisulfite treatment is widely used in DNA methylation analysis. In this study, we analyzed methylation levels at 12 CpG sites of four selected genomic regions by pyrosequencing after bisulfite treatment. DNA was extracted from buccal swab samples collected from 102 Japanese individuals who were 21–77 years old. We also developed a simple method to quantify the degradation levels of bisulfite-converted DNA by real-time PCR, and evaluated the effect of DNA degradation on age estimation. We found that the methylation levels and chronological ages were highly correlated in the four selected regions, and the mean absolute deviation (MAD) between chronological and estimated ages was low at 3.88 years. These results indicated that pyrosequencing analysis at the 12 CpGs was useful for age estimation in the Japanese population. To develop a sensitive quantification method, we analyzed the amplification efficiency of short and long fragments from 10 regions by real-time PCR. The amplification efficiency was highest for CCDC102B, and the degradation levels of bisulfite-converted DNA for the 102 samples were categorized as moderately or heavily degraded. For the younger age groups (20–49 years), the MADs were lower for moderately degraded DNA than they were for heavily degraded DNA. This finding indicates that degradation levels affected the accuracy of age estimation in most of the samples; the exception was the samples from the 50–77 years age group.

A multilocus DNA mini-barcode assay to identify twenty vertebrate wildlife species

The world faces significant challenges in preserving the diversity of vertebrate species due to wildlife crimes. DNA barcoding, an effective molecular marker for insufficient nuclear DNA, is an authentic and quick identification technique to trace the origin of seized samples in forensic investigations. Here, we present a multiplex assay capable of identifying twenty vertebrate wildlife species utilizing twenty species-specific primers that target short fragments of the mitochondrial Cyt b, COI, 16S rRNA, and 12S rRNA genes. The assay achieved strong species specificity and sensitivity with a detection limit as low as 5 pg of DNA input. Additionally, it effectively discriminated a minor contributor (≥1%) from binary mixtures and successfully identified of noninvasive samples, inhibited DNA samples, artificially degraded DNA samples, and case samples, demonstrating a sensitive, robust, practical and easily interpretable tool in screening, and investigating forensic wildlife crimes.

An RNA-Ligation-Based RACE-PAT Assay to Monitor Poly(A) Tail Length of mRNAs of Interest.

In eukaryotes, a non-templated poly-adenosine (poly(A)) tail is added co-transcriptionally to almost every messenger RNA (mRNA). The length of this poly(A) tail changes during the lifetime of mRNAs and has been shown in many circumstances to be an important factor controlling transcript fates. Yet, the measure of the length of this homogenous nucleotide sequence is technically challenging, making it difficult to assess its dynamic variation. In this chapter, we describe an RNA-ligation-based RACE-PAT (Rapid Amplification of cDNA End-Poly(A) Tail) assay to monitor the poly(A) tail length of mRNAs. In the first step, an RNA oligonucleotide is ligated to mRNA 3' ends providing an anchoring site to prime cDNA synthesis, avoiding the bias introduced by oligo(dT)-derived primers. Afterward, reverse transcription is performed with an anchor primer with a unique 5' extension. The choice of the oligonucleotide 3' end at this step allows further flexibility to amplify modified tails, for example, by uridylation. Next, short DNA fragments encompassing the poly(A) tails are amplified by Polymerase Chain Reaction (PCR) using as forward primer, a transcript-specific primer hybridizing close to the transcript polyadenylation signal, and as reverse primer, an oligonucleotide corresponding to the 5' extension of the primer used for cDNA synthesis, ensuring that only cDNAs are amplified. The resulting DNA fragments are then visualized after size fractionation by electrophoresis. This method does not provide exact nucleotide count and composition but has the advantage of allowing the processing of many samples in parallel at a low cost.

UvrD-like helicase Hmi1 Has an ATP independent role in yeast mitochondrial DNA maintenance

Hmi1 is a UvrD-like DNA helicase required for the maintenance of the yeast Saccharomyces cerevisiae mitochondrial DNA (mtDNA). Deletion of the HMI1 ORF leads to the formation of respiration-deficient petite mutants, which either contain a short fragment of mtDNA arranged in tandem repeats or lack mtDNA completely. Here we characterize point mutants of the helicase designed to target the ATPase or ssDNA binding activity and show that these mutations do not separately lead to complete loss of the Hmi1 function. The mutant strains support ATP production via oxidative phosphorylation and enable us to directly analyze the impact of both activities on the stability of wild-type mtDNA in this petite-positive yeast. Our data reveal that Hmi1 mutants affecting ssDNA binding display a stronger defect in the maintenance of mtDNA compared to the mutants of ATP binding/hydrolysis. Hmi1 mutants impaired in ssDNA binding demonstrate sensitivity to UV irradiation and lower levels of Cox2 encoded by the mitochondrial genome. This suggests a complex and multifarious role for Hmi1 in mtDNA maintenance-linked transactions, some of which do not require the ATP-dependent helicase activity.

Persisting roadblocks in arthropod monitoring using non-destructive metabarcoding from collection media of passive traps.

Broad-scale monitoring of arthropods is often carried out with passive traps (e.g., Malaise traps) that can collect thousands of specimens per sample. The identification of individual specimens requires time and taxonomic expertise, limiting the geographical and temporal scale of research and monitoring studies. DNA metabarcoding of bulk-sample homogenates has been found to be faster, efficient and reliable, but the destruction of samples prevents a posteriori validation of species occurrences and relative abundances. Non-destructive metabarcoding of DNA extracted from collection medium has been applied in a limited number of studies, but further tests of efficiency are required with different trap types and collection media to assess the consistency of the method. We quantified the detection rate of arthropod species when applying non-destructive DNA metabarcoding with a short (127-bp) fragment of mitochondrial COI on two combinations of passive traps and collection media: (1) water with monopropylene glycol (H2O-MPG) used in window-flight traps (WFT, 53 in total); (2) ethanol with monopropylene glycol (EtOH-MPG) used in Malaise traps (MT, 27 in total). We then compared our results with those obtained for the same samples using morphological identification (for WFTs) or destructive metabarcoding of bulk homogenate (for MTs). This comparison was applied as part of a larger study of arthropod species richness in silver fir (Abies alba Mill., 1759) stands across a range of climate-induced tree dieback levels and forest management strategies. Of the 53 H2O-MPG samples from WFTs, 16 produced no metabarcoding results, while the remaining 37 samples yielded 77 arthropod MOTUs in total, of which none matched any of the 343 beetle species morphologically identified from the same traps. Metabarcoding of 26 EtOH-MPG samples from MTs detected more arthropod MOTUs (233) than destructive metabarcoding of homogenate (146 MOTUs, 8 orders), of which 71 were shared MOTUs, though MOTU richness per trap was similar between treatments. While we acknowledge the failure of metabarcoding from WFT-derived collection medium (H2O-MPG), the treatment of EtOH-based Malaise trapping medium remains promising. We conclude however that DNA metabarcoding from collection medium still requires further methodological developments and cannot replace homogenate metabarcoding as an approach for arthropod monitoring. It can be used nonetheless as a complementary treatment when enhancing the detection of soft-bodied arthropods like spiders and Diptera.