Biology subjects

Lin, M.

Publications and source records attributed to Lin, M..

At least 127 records · Page 7Linked to original sources

bioRxiv2020

PCR procedures to amplify GC-rich DNA sequences of Mycobacterium bovis

Amplification of high GC content genes by PCR is a major challenge during the creation of recombinant GC-rich DNA constructs. This may be due to the difficulty in DNA denaturation or the possibility of forming secondary structures from DNA templates. Tools have been described to address the technical problems associated with the amplification of shorter sequences (<1000 bp). However, obstacles of synthesizing larger-sized GC-rich sequences by PCR continue to exist. This study aims to investigate the amplification of long and high GC content genes by PCR from the Mycobacterium bovis, a genome with GC content >60%, in comparison to amplifying a gene from the Listeria monocytogenes genome, a genome with a 37.8% GC content. Three PCR protocols were designed and experimented at various conditions with two M. bovis genes, Mb0129, a large gene of 1794 bp with 77.5% GC content, mpb83, a smaller gene of 663 bp in length with moderate GC content of 63%, together with LMHCC_RS00060, a large L.monocytogenes gene of 1617 bp with a lower GC content of 41.53%. The result demonstrated the superiority of the 2-step PCR protocol over other protocols in PCR amplification of Mb0129 when specific high fidelity DNA polymerases were used in the presence of an enhancer. The study highlighted the importance of manipulating the cycling conditions to perform the annealing and extension steps at higher temperatures for a successful PCR amplification of a large GC-rich DNA template. The PCR protocols developed in this study can be valuable tools for the amplification of long GC-rich DNA sequences for various downstream applications.

molecular biology↗

bioRxiv2020

Dynamics of mcr-1 prevalence and mcr-1-positive Escherichia coli after the cessation of colistin use as a feed additive for animals in China: a prospective cross-sectional and whole genome sequencing based molecular epidemiological study

BackgroundThe global dissemination of colistin resistance encoded by mcr-1 has been attributed to extensive use of colistin in livestock, threatening colistin efficacy in medicine. The emergence of mcr-1 in common pathogens, such as Escherichia coli, is of particular concern. Therefore, China banned the use of colistin in animal feed from May 1ST 2017. We investigated subsequent changes in mcr-1 prevalence, and the genomic epidemiology of mcr-1-positive Escherichia coli (MCRPEC). MethodsSampling was conducted pre- (October-December 2016) and post-colistin ban (October-December, 2017 and 2018, respectively). 3675 non-duplicate pig fecal samples were collected from 14 provinces (66 farms) in China to determine intervention-related changes in mcr-1 prevalence. 15193 samples were collected from pigs, healthy human volunteers, colonized and infected hospital inpatients, food and the environment in Guangzhou, to characterize source-specific mcr-1 prevalence and the wider ecological impact of the ban. From these samples, 688 MCRPEC were analyzed with whole genome sequencing (WGS), plasmid conjugation and S1-PFGE/Southern blots to characterize associated genomic changes. FindingsAfter the ban, mcr-1 prevalence decreased significantly in national pig farms, from 45{middle dot}0% (308/684 samples) in 2016, to 19{middle dot}4% (274/1416) in 2018 (p<0{middle dot}0001). This trend was mirrored in samples from most sources in Guangzhou (overall 19{middle dot}2% [959/5003 samples] in 2016; 5{middle dot}3% [238/4489] in 2018; p<0{middle dot}0001). The population structure of MCRPEC was diverse (23 sequence clusters [SCs]); ST10 clonal complex isolates were predominant (247/688 [36%]). MCRPEC causing infection in hospitalized inpatients were genetically more distinct and appeared less affected by the ban. mcr-1 was predominantly found on plasmids (632/688 [92%]). Common mcr-1 plasmid types included IncX4, IncI2 and IncHI2 (502/656 [76.5%]); significant increases in IncI2-associated mcr-1 and a distinct lineage of mcr-1-associated IncHI2 were observed post-ban. Changes in the frequency of mcr-1-associated flanking sequences (ISApl1-negative MCRPEC), 63 core genome SNPs and 30 accessory genes were also significantly different after the ban, consistent with rapid genetic adaptation in response to changing selection pressures. InterpretationA rapid, ecosystem-wide, decline in mcr-1 was observed after banning the use of colistin in animal feed, with associated genetic changes in MCRPEC. Genomic surveillance is key to assessing and monitoring stewardship interventions. FundingNational Natural Science Foundation of China

microbiology↗

bioRxiv2020

Two-photon voltage imaging of spontaneous activity from multiple neurons reveals network activity in brain tissue

Recording the electrical activity of multiple neurons simultaneously would greatly facilitate studies on the structure and function of neuronal circuits. Using fluorescent genetically encoded voltage indicators (GEVI) would be especially desirable, as it would allow cell type-selectivity, longitudinal recordings, and further optical manipulations. By expressing the GEVI ASAP3 via in utero electroporation and rapidly imaging neurons in densely labelled tissues via random-access multi-photon microscopy, we achieve voltage recording of multiple neurons in brain slice with single-trial single-voxel resolution. This approach enables monitoring of subthreshold membrane potential changes and action potentials from multiple locations in soma and dendrites for tens of minutes. By optically recording spontaneous electrical activities in somatosensory cortex neurons, we provide evidence for the development of intralaminar horizontal connections in layer 2/3 with greater sensitivity than calcium imaging. Single-trial optical voltage recordings using ASAP3 thus enables the investigation of network connectivity at cellular resolution.

neuroscience↗

bioRxiv2020

Quantitative Analysis of Tissue Secretome Reveals the Diagnostic and Prognostic Value of Carbonic Anhydrase II in Hepatocellular Carcinoma

Early detection and intervention are key strategies to reduce mortality, increase long-term survival and improve the therapeutic effects of hepatocellular carcinoma (HCC) patients. Herein, the isobaric tag for relative and absolute quantitation (iTRAQ) quantitative proteomic strategy was used to study the secretome in conditioned media from HCC cancerous tissues, surrounding noncancerous and distal noncancerous tissues to identify diagnostic and prognostic biomarkers for HCC. In total, 22 and 49 secretory proteins were identified to be dysregulated in the cancerous and surrounding noncancerous tissues compared with the distal noncancerous tissues. Among these proteins, carbonic anhydrase II (CA2) was identified to be significantly upregulated in the secretome of cancerous tissues; correspondingly, the serum concentrations of CA2 were remarkably increased in HCC patients than that in normal populations. Interestingly, a significant increase of serum CA2 in recurrent HCC patients after radical resection was also confirmed compared with HCC patients without recurrence, and the serum level of CA2 could act as an independent prognostic factor for time to recurrence (TTR) and overall survival (OS). Regarding the mechanism, the secreted CA2 enhances the migration and invasion of HCC cells by activating the epithelial mesenchymal transition (EMT) pathway. Taken together, this study identified a novel biomarker for HCC diagnosis and prognosis and provides a valuable resource of the HCC secretome for investigating serological biomarkers.

cancer biology↗

bioRxiv2019

Genome-wide association study for maize leaf cuticular conductance identifies candidate genes involved in the regulation of cuticle development

The cuticle, a hydrophobic layer of cutin and waxes synthesized by plant epidermal cells, is the major barrier to water loss when stomata are closed at night and under water-limited conditions. Elucidating the genetic architecture of natural variation for leaf cuticular conductance (gc) is important for identifying genes relevant to improving crop productivity in drought-prone environments. To this end, we conducted a genome-wide association study of gc of adult leaves in a maize inbred association panel that was evaluated in four environments (Maricopa, AZ, and San Diego, CA in 2016 and 2017). Five genomic regions significantly associated with gc were resolved to seven plausible candidate genes (ISTL1, two SEC14 homologs, cyclase-associated protein, a CER7 homolog, GDSL lipase, and {beta}-D-XYLOSIDASE 4). These candidates are potentially involved in cuticle biosynthesis, trafficking and deposition of cuticle lipids, cutin polymerization, and cell wall modification. Laser microdissection RNA sequencing revealed that all these candidate genes, with the exception of the CER7 homolog, were expressed in the zone of the expanding adult maize leaf where cuticle maturation occurs. With direct application to genetic improvement, moderately high average predictive abilities were observed for whole-genome prediction of gc in locations (0.46 and 0.45) and across all environments (0.52). The findings of this study provide novel insights into the genetic control of gc and have the potential to help breeders more effectively develop drought-tolerant maize for target environments.\n\nArticle summaryThe cuticle serves as the major barrier to water loss when stomata are closed at night and under water-limited conditions and potentially relevant to drought tolerance in crops. We performed a genome-wide association study to elucidate the genetic architecture of natural variation for maize leaf cuticular conductance. We identified epidermally expressed candidate genes that are potentially involved in cuticle biosynthesis, trafficking and deposition, cutin polymerization, and cell wall modification. Finally, we observed moderately high predictive abilities for whole-genome prediction of leaf cuticular conductance. Collectively, these findings may help breeders more effectively develop drought-tolerant maize.

genetics↗

bioRxiv2019

Closing and opening of the RNA polymerase trigger loop

The RNA polymerase (RNAP) trigger loop (TL) is a mobile structural element of the RNAP active center that, based on crystal structures, has been proposed to cycle between an \"unfolded\"/\"open\" state that allows an NTP substrate to enter the active center and a \"folded\"/\"closed\" state that holds the NTP substrate in the active center. Here, by quantifying single-molecule fluorescence resonance energy transfer between a first fluorescent probe in the TL and a second fluorescent probe elsewhere in RNAP or in DNA, we detect and characterize TL closing and opening in solution. We show that the TL closes and opens on the millisecond timescale; we show that TL closing and opening provides a checkpoint for NTP complementarity, NTP ribo/deoxyribo identity, and NTP tri/di/monophosphate identity, and serves as a target for inhibitors; and we show that one cycle of TL closing and opening typically occurs in each nucleotide addition cycle in transcription elongation.

molecular biology↗

bioRxiv2019

Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets

BackgroundThe low cost of 16S rRNA gene sequencing facilitates population-scale molecular epidemiological studies. Existing computational algorithms can parse 16S rRNA gene sequences to high-resolution Amplicon Sequence Variants (ASVs), which represent consistent labels comparable across studies. Assigning these ASVs to species-level taxonomy strengthens the ecological and/or clinical relevance of 16S rRNA gene-based microbiota studies and further facilitates data comparison across studies. ResultsTo achieve this, we developed a broadly applicable method for constructing high-resolution training sets based on the phylogenic relationships among microbes found in a habitat of interested. When used with the naive Bayesian Ribosomal Database Project (RDP) Classifier, this training set achieved species/supraspecies-level taxonomic assignment of 16S rRNA gene-derived ASVs. The key steps for generating such a training set are: 1) constructing an accurate and comprehensive phylogenetic-based, habitat-specific database; 2) compiling multiple 16S rRNA gene sequences to represent the natural sequence variability of each taxon in the database; 3) trimming the training set to match the sequenced regions, if necessary; and 4) placing species sharing closely related sequences into a supraspecies taxonomic level to preserve subgenus-level resolution. As proof of principle, we developed a V1-V3 region training set for the bacterial microbiota of the human aerodigestive tract using the full-length 16S rRNA gene reference sequences compiled in our expanded Human Oral Microbiome Database (eHOMD). We also overcame technical limitations to successfully use Illumina sequences for the 16S rRNA gene V1-V3 region, the most informative segment for classifying bacteria native to the human aerodigestive tract. Finally, we generated a full-length eHOMD 16S rRNA gene training set, which we used in conjunction with an independent PacBio Single Molecule, Real-Time (SMRT)-sequenced sinonasal dataset to validate the representation of species in our training set. This also established the effectiveness of a full-length training set for assigning taxonomy of long-read 16S rRNA gene datasets. ConclusionHere, we present a systematic approach for constructing a phylogeny-based, high-resolution, habitat-specific training set that permits species/supraspecies-level taxonomic assignment to short- and long-read 16S rRNA gene-derived ASVs. This advancement enhances the ecological and/or clinical relevance of 16S rRNA gene-based microbiota studies.

microbiology↗

bioRxiv2019

Mechanism of manganese dysregulation of dopamine neuronal activity

Manganese exposure produces Parkinsons-like neurological symptoms, suggesting a selective dysregulation of dopamine transmission. It is unknown, however, how manganese accumulates in dopaminergic brain regions or how it regulates the activity of dopamine neurons. Our in vivo studies suggest manganese accumulates in dopamine neurons of the ventral tegmental area and substantia nigra via nifedipine-sensitive Ca2+ channels. Manganese produces a Ca2+ channel-mediated current which increases neurotransmitter release and rhythmic firing activity of dopamine neurons. These increases are prevented by blockade of Ca2+ channels and depend on downstream recruitment of Ca2+-activated potassium channels to the plasma membrane. These findings demonstrate the mechanism of manganese-induced dysfunction of dopamine neurons, and reveal a potential therapeutic target to attenuate manganese-induced impairment of dopamine transmission.\n\nSignificance StatementManganese is a trace element critical to many physiological processes. Overexposure to manganese is an environmental risk factor for neurological disorders such as a Parkinsons disease-like syndrome known as manganism. We found manganese dose-dependently increased the excitability of dopamine neurons, decreased the amplitude of action potentials, and narrowed action potential width. Blockade of Ca2+ channels prevented these effects as well as manganese accumulation in the mouse midbrain in vivo. Our data provide a potential mechanism for manganese-regulation of dopaminergic neurons.

cell biology↗

bioRxiv2019

Population specific reference panels are crucial for the genetic analyses of Native Hawai’ians: an example of the CREBRF locus

Statistical imputation applied to genome-wide array data is the most cost-effective approach to complete the catalog of genetic variation in a study population. However, imputed genotypes in underrepresented populations incur greater inaccuracies due to ascertainment bias and a lack of representation among reference individuals,, further contributing to the obstacles to study these populations. Here we examined the consequences due to the lack of representation by genotyping a functionally important, Polynesian-specific variant, rs373863828, in the CREBRF gene, in a large number of self-reported Native Hawaiians (N=3,693) from the Multiethnic Cohort. We found the derived allele of rs373863828 was significantly associated with several adiposity traits with large effects (e.g. 0.214 s.d., or approximately 1.28 kg/m2, per allele, in BMI as the most significant; P = 7.5x10-5). Due to the current absence of Polynesian representation in publicly accessible reference sequences, rs373863828 or any of its proxies could not be tested through imputation using these existing resources. Moreover, the association signals at this Polynesian-specific variant could not be captured by alternative approaches, such as admixture mapping. In contrast, highly accurate imputation can be achieved even if a small number (<200) of Polynesian reference individuals were available. By constructing an internal set of Polynesian reference individuals, we were able to increase sample size for analysis up to 3,936 individuals, and improved the statistical evidence of association (e.g. p = 1.5x10-7, 3x10-6, and 1.4x10-4 for BMI, hip circumference, and T2D, respectively). Taken together, our results suggest the alarming possibility that lack of representation in reference panels would inhibit discovery of functionally important, population-specific loci such as CREBRF. Yet, they could be easily detected and prioritized with improved representation of diverse populations in sequencing studies.

genetics↗

bioRxiv2019

Genetic and molecular mechanism for distinct clinical phenotypes conveyed by allelic truncating mutations implicated in FBN1

The molecular and genetic mechanisms by which different single nucleotide variant (SNV) alleles in specific genes, or at the same genetic locus, bring about distinct disease phenotypes often remain unclear. Allelic truncating mutations of fibrillin-1(FBN1) cause either classical Marfan syndrome (MFS) or a more severe phenotype associated with Marfanoid-progeroid-lipodystrophy syndrome (MPLS). A total of three Marfan syndrome/Marfanoid patients (2 singletons and 1 parent-offspring trio) were recruited. Targeted next-generation sequencing was performed on all the participants. We analyzed the molecular diagnosis, patient clinical features, and the potential molecular mechanism involved in the MPLS subject in our cohort. We investigated a small cohort, consisting of two classical MFS and one MPLS patient from China, whose clinical presentation included scoliosis potentially requiring surgical intervention. We provide evidence that most nonsense and frameshift mutations lead to FBN1 null alleles due to mutant mRNA transcript degradation. In contrast, the more severe disease phenotype, MPLS, is caused by mutant mRNAs that are predicted to escape the nonsense mediated decay (NMD) surveillance pathway, making a mutant protein that exerts a dominant negative interference effect to FBN1 thus generating a gain-of-function (GoF) rather than a loss-of-function (LoF) allele as in MFS. Overall, we provide direct evidence that a dominant negative interaction of FBN1 potentially explains the distinct clinical phenotype in MPLS patients through genetic and functional analysis of the first Chinese patient with MPLS. Moreover, our study expands the mutation spectrum of FBN1 and highlights the potential molecular mechanism for MPLS patients.

genetics↗

bioRxiv2019

Inhibition of ADORA1 attenuates hepatic steatosis by gut microbiota-derived acetic acid from Astragalus polysaccharides

The authors have withdrawn this manuscript, because some data could not be replicated. During the process of subsequent revision of the manuscript, we separated the data into two parts. The majority data of the preprint draft, the anti-NAFLD effect of Astragalus polysaccharides (APS) in mice and the contribution of gut microbiota, were independently published in 2021 after substantial revision (doi: https://doi.org/10.1080/19490976.2021.1930874). However, the data on figure 6 (about ARs inhibitors DPCPX orally ameliorating NAFLD in mice, and Adora1 si-RNA data in vitro) could not be fully replicated in subsequent experiments. The most probable reason might be due to the batch differences of mice / cells, or other undetermined factors during experiment. Moreover, we have carried out in-depth studies on the exact role of hepatic A1R on NAFLD formation, which is opposite to our prior assumption. Therefore, we do not wish this work to be cited as reference for the project. We apologize for any inconvenience caused to our readers. Any questions can be addressed to first/corresponding author.

physiology↗

bioRxiv2019

Kelch13 and MDR1 Polymorphisms, and Drug Effectiveness at Day 3 after Dihydroartemisinin-Piperaquine Treatment for Plasmodium falciparum Malaria on Bioko Island, Equatorial Guinea: 2014-2017

Artemisinin (ART) combination therapies were introduced on malaria endemic Bioko Island in 2004 through Bioko Island Malaria Control Project. Recently, ART-resistant Plasmodium falciparum strain with Kelch13 (K13) propeller M579I mutation originating from Equatorial Guinea was observed as an increased parasite clearance time on day 3 after dihydroartemisinin-Piperaquine (DHA-PIP) treatment (D3 positivity). Here, we surveyed DHA-PIP effectiveness and molecular markers of drug resistance at D3 after DHA-PIP treatment on Bioko Island from 2014 to 2017. Among the 371 uncomplicated P. falciparum patients, 86.3% (320/471) were successfully followed up at D3. 5.9% (19/320) of patients showed D3 positivity. K13 and MDR1 gene were successfully sequenced from 46 patients collected at D0 (baseline population) and 19 D3-positivity patients. Five non-synonymous K13 mutations (H136N; K189N; K248N; K326E; K332N) were found. There was no statistical difference in the frequency of these K13 mutations between baseline population and D3-positivity samples (p>0.05). Additionally, none of the K13 propeller polymorphisms known to be involved in ART-resistance in Asia or Africa were detected. For MDR1 gene, 38.5% (25/65) carried N86Y mutation; 73.8% (48/65) the Y184F mutation. Parasites surviving DHA-PIP at D3 post-treatment were significantly more likely than the baseline population to carry the N86Y (p <0.05). These results suggest that K13 is not the best predictive molecular marker for ART resistance in Africa. More isolates from cases with delayed parasite clearance after DHA-PIP treatment indicated that in vitro and in vivo monitoring for ART derivatives and ACT partner drugs should be regularly performed on Bioko Island, Equatorial Guinea.

epidemiology↗

bioRxiv2019

Kilohertz in vivo imaging of neural activity

Understanding information processing in the brain requires us to monitor neural activity in vivo at high spatiotemporal resolution. Using an ultrafast two-photon fluorescence microscope (2PFM) empowered by all-optical laser scanning, we imaged neural activity in vivo at up to 3,000 frames per second and submicron spatial resolution. This ultrafast imaging method enabled monitoring of both supra- and sub-threshold electrical activity down to 345 m below the brain surface in head fixed awake mice.

neuroscience↗

bioRxiv2019

A Novel Neoantigen Discovery Approach based on Chromatin High Order Conformation: Mapping the Neoantigen to 3D Genome

The high-throughput sequencing technology has yielded reliable and ultra-fast sequencing for DNA and RNA. For tumor cells of cancer patients, when combining the results of DNA and RNA sequencing, one can identify potential neoantigens that stimulate immune response of the T cells. However, when the somatic mutations are abundant, it is computationally challenging to efficiently prioritize the identified neoantigen candidates according to their ability of activating the T cell immuno-response. Numerous prioritization or prediction approaches have been proposed to address this issue but none of them considers the original DNA loci of the neoantigens from the perspective of 3D genome. Here we retrospect the DNA origins of the immune-positive and non-negative neoantigens in the context of 3D genome and discovered that 1) DNA loci of the immuno-positive neoantigens tend to cluster genome-wise. 2) DNA loci of the immuno-positive neoantigens tend to belong to active chromosomal compartment (compartment A) in some chromosomes. 3). DNA loci of the immuno-positive neoantigens tend to locate at specific regions in the 3D genome. We believe that the 3D genome information will help more precise neoantigen prioritization and discovery and eventually benefit precision and personalized medicine in cancer immunotherapy.

bioinformatics↗

bioRxiv2019

The California Environmental DNA \"CALeDNA\" Program

Global change is leading to habitat shifts that threaten species persistence throughout Californias unique ecosystems. Baseline biodiversity data provide opportunities for ecosystems to be managed for community complexity and connectivity. In 2017, the University of California Conservation Genomics Consortium launched the California Environmental DNA (CALeDNA) program, a community science initiative monitoring Californias biodiversity through environmental DNA (eDNA)--DNA shed from organisms through fur, mucus, spores, pollen, etc. Community scientists collect soil and sediment samples, then researchers analyze the eDNA in the samples and share results with the public. The results are catalogues of thousands of organisms per sample, ranging from microbes to mammals. The CALeDNA website presents biodiversity inventories in a platform designed for the public and researchers alike, as well as user-friendly analysis tools and educational modules. Here, we present CALeDNA as a scalable community science framework that can harmonize with future biodiversity research and education initiatives.

scientific communication and education↗

bioRxiv2018

Highly multiplexed in situ protein imaging with signal amplification by Immuno-SABER

Probing the molecular organization of tissues requires in situ analysis by microscopy. However current limitations in multiplexing, sensitivity, and throughput collectively constitute a major barrier for comprehensive single-cell profiling of proteins. Here, we report Immunostaining with Signal Amplification By Exchange Reaction (Immuno-SABER), a rapid, highly multiplexed signal amplification method that simultaneously tackles these key challenges. Immuno-SABER utilizes DNA-barcoded antibodies and provides a method for highly multiplexed signal amplification via modular orthogonal DNA concatemers generated by Primer Exchange Reaction. This approach offers the capability to preprogram and control the amplification level independently for multiple targets without in situ enzymatic reactions, and the intrinsic scalability to rapidly amplify and image a large number of protein targets. We validated our approach in diverse sample types including cultured cells, cryosections, FFPE sections, and whole mount tissues. We demonstrated independently tunable 5-180-fold amplification for multiple targets, covering the full signal range conventionally achieved by secondary antibodies to tyramide signal amplification, as well as simultaneous signal amplification for 10 different proteins using standard equipment and workflow. We further combined Immuno-SABER with Expansion Microscopy to enable rapid and highly multiplexed super-resolution tissue imaging. Overall, Immuno-SABER presents an effective and accessible platform for rapid, multiplexed imaging of proteins across scales with high sensitivity.

cell biology↗

bioRxiv2018

Clinical implications of identifying pathogenic variants in aortic dissection patients with whole exome sequencing

BackgroundThoracic aortic dissection is an emergent life-threatening condition. Routine screening for genetic variants causing thoracic aortic dissection is not currently performed for patients or their family members.\n\nMethodsWe performed whole exome sequencing of 240 patients with thoracic aortic dissection (n=235) or rupture (n=5) and 258 controls matched for age, sex, and ancestry. Blinded to case-control status, we annotated variants in 11 genes for pathogenicity.\n\nResultsTwenty-four pathogenic variants in 6 genes (COL3A1, FBN1, LOX, PRKG1, SMAD3, TGFBR2) were identified in 26 individuals, representing 10.8% of aortic cases and 0% of controls. Among dissection cases, we compared those with pathogenic variants to those without and found that pathogenic variant carriers had significantly earlier onset of dissection (41 vs. 57 years), higher rates of root aneurysm (54% vs. 30%), less hypertension (15% vs. 57%), lower rates of smoking (19% vs. 45%), and greater incidence of aortic disease in family members. Multivariable logistic regression showed significant risk factors associated with pathogenic variants are age <50 [odds ratio (OR) = 5.5; 95% CI: 1.6-19.7], no history of hypertension (OR=5.6; 95% CI: 1.4-22.3) and family history of aortic disease (mother: OR=5.7; 95% CI: 1.4-22.3, siblings: OR=5.1; 95% CI 1.1-23.9, children: OR=6.0; 95% CI: 1.4-26.7).\n\nConclusionsClinical genetic testing of known hereditary thoracic aortic dissection genes should be considered in patients with aortic dissection, followed by cascade screening of family members, especially in patients with age-of-onset of aortic dissection <50 years old, family history of aortic disease, and no history of hypertension.

genetics↗

bioRxiv2018

Anacapa Toolkit: an environmental DNA toolkit for processing multilocus metabarcode datasets

1. Environmental DNA (eDNA) metabarcoding is a promising method to monitor species and community diversity that is rapid, affordable, and non-invasive. Longstanding needs of the eDNA community are modular informatics tools, comprehensive and customizable reference databases, flexibility across high-throughput sequencing platforms, fast multilocus metabarcode processing, and accurate taxonomic assignment. As bioinformatics tools continue to improve, addressing each of these demands within a single bioinformatics toolkit is becoming a reality.\n\n2. We present the modular metabarcode sequence toolkit Anacapa (https://github.com/limey-bean/Anacapa/), which addresses the above needs, allowing users to build comprehensive reference databases and assign taxonomy to raw multilocus metabarcode sequence data A novel aspect of Anacapa is our database building module, Creating Reference libraries Using eXisting tools (CRUX), which generates comprehensive reference databases for specific user-defined metabarcode loci. The Quality Control and Dereplication module sorts and processes multiple metabarcode loci and processes merged, unmerged and unpaired reads maximizing recovered diversity. Followed by amplicon sequence variants (ASVs) detection using DADA2. The Anacapa Classifier module aligns these ASVs to CRUX-generated reference databases using Bowtie2. Taxonomy is assigned to ASVs with confidence scores using a Bayesian Lowest Common Ancestor (BLCA) method. The Anacapa Toolkit also includes an R package, ranacapa, for automated results exploration through standard biodiversity statistical analysis.\n\n3. We performed a series of benchmarking tests to verify that the Anacapa Toolkit generates comprehensive reference databases that capture wide taxonomic diversity and that it can assign high-quality taxonomy to both MiSeq-length and Hi-Seq length sequence data. We demonstrate the value of the Anacapa Toolkit to assigning taxonomy to eDNA sequences from seawater samples from southern California including capability of this tool kit to process multilocus metabarcoding data.\n\n4. The Anacapa Toolkit broadens the exploration of eDNA and assists in biodiversity assessment and management by generating metabarcode specific databases, processing multilocus data, retaining all read types, and expanding non-traditional eDNA targets. Anacapa software and source code are open and available in a virtual container to ease installation.

bioinformatics↗