Biology subjects

Huang, Y.-T.

Publications and source records attributed to Huang, Y.-T..

28 records · Page 2Linked to original sources

bioRxiv2023

Optimal Liquid-Based DNA Preservation for DNA Barcoding of Field-Collected Fungal Specimens

Preserving fungal tissue DNA in the field is essential for molecular ecological research, enabling the study of fungal biodiversity and community dynamics. This study systematically compares two liquid-based preservation solutions, RNAlater and DESS, for their effectiveness in maintaining macrofungi DNA integrity during field collection and storage. The research encompasses both controlled experiments and real-world field collections. In the controlled experiments, two fungal species were preserved in RNAlater and DESS at different temperatures and durations. DNA extraction success rates were high, but DNA quality and quantity metrics exhibited variations across samples. However, both preservation solutions demonstrated their viability for preserving fungal DNA, with no significant differences between them. In the field-collected macrofungi experiment, 200 fungal specimens were collected and preserved in RNAlater and DESS. The DNA extraction success rate was 98%, with a few exceptions. The statistical analysis, including paired and independent t-tests, showed no statistically significant differences in DNA quality and quantity between the two preservation methods for the field-collected fungal samples. Overall, this study provides valuable insights into the effectiveness of RNAlater and DESS for preserving macrofungi DNA in field conditions. Researchers can confidently choose between these methods based on their specific needs, without compromising the integrity of the DNA. This research contributes to the advancement of fungal molecular ecology and has broader implications for DNA preservation strategies in ecological and environmental studies.

ecology↗

bioRxiv2022

Identification of combinatorial colistin resistance mutations in Shewanella algae

BackgroundColistin is one of the last-line antimicrobial agents against drug-resistant gram-negative bacteria. Currently, little is known about the genetic mechanisms underlying colistin resistance in Shewanella algae, partly due to complex epistatic interactions among multiple genes. Methodology/Principal FindingsThis study sequenced, assembled, and compared the genomes of 23 mcr-negative colistin-resistant Shewanella algae from marine, clam, oyster, and human. Comparative genomics and computational approach were applied to find combinatorial mutations. A combination of three mutations (PmrB451, PmrE168, PmrH292) was found to be strongly associated with colistin resistance in Shewanella algae. Conclusions/SignificanceThis study demonstrates a computational approach for identifying epistatic-interacted mutations. Author summaryShewanella algae is an emerging pathogen related to Neglected Tropical Diseases (NTDs), including cobra-bite wound infections, marine injuries or ingestion of contaminated seafood. Shewanella algae is intrinsic resistant to various classes of {beta}-lactams. Additionally, growing resistance to colistin in mcr-negative Shewanella algae further limits therapeutic options, especially in resource-limited regions. Currently, little is known about the genetic mechanisms underlying colistin resistance in Shewanella algae, partly due to complex epistatic interactions among multiple genes. We conduct comparative genomics to identify combinatorial colistin resistance mutations in mcr-negative colistin-resistant Shewanella algae and a combination of three mutations (PmrB451, PmrE168, PmrH292) is strongly associated with colistin-resistance.

genomics↗

bioRxiv2022

The high diversity of Scedosporium and Lomentospora species and their prevalence in human-disturbed areas in Taiwan

Scedosporium and Lomentospora are important opportunistic pathogens causing localized or disseminated infection in humans. Understanding their environmental distribution is critical for public hygiene and clinical management. We carried out the first environmental survey in urbanized and natural regions in Taiwan. Overall, Scedosporium and Lomentospora species were recovered in 130 out of 271 soil samples (47.9%) across Taiwan. We morphologically and molecularly identified five Scedosporium species and one Lomentospora species. All four major clinical relevant species were isolated with high frequency, i.e. S. apiospermum (42.5%), S. boydii (27.5%), L. prolificans (15.0%), and S. aurantiacum (8.8%); two clinically minor species, S. dehoogii (5.6%) and S. haikouense (0.6%), had moderate incidence. These fungal species have high incidence in urban (48%) and hospital (67.4%) soil samples, and have limited distribution in samples from natural regions (5%). Multivariate analysis of the fungal composition revealed strong evidence of the preferential distribution of these fungi in urban and hospital regions compared to natural sites. In addition, strong evidence suggested that the distribution and abundance of these fungal species are highly heterogeneous in the environment; samples in vicinity often yield varied fungal communities. Our results indicated that these fungal species are prevalent in soil in Taiwan and their occurrences are associated with human activities. Hygiene sensitive places such as hospitals should be particularly aware of the high frequency of the clinical relevant species.

microbiology↗

bioRxiv2022

Correcting Modification-Mediated Errors in Nanopore Sequencing by Nucleotide Demodification and in silico Correction

The accuracy of Oxford Nanopore Technology (ONT) sequencing has significantly improved thanks to new flowcells, sequencing kits, and basecalling algorithms. However, novel modifications untrained in the basecalling models can seriously reduce the quality. This paper reports a set of ONT-sequenced genomes with unexpected low quality ([~]Q30) due to extensive new modifications. Demodification by whole-genome amplification (WGA) significantly improved the quality of all genomes ([~]Q50-60) while losing the epigenome. We developed a computational method, Modpolish, for correcting modification-mediated errors without WGA. Modpolish produced high-quality genomes and uncovered the underlying modification motifs without loss of epigenome. Our results suggested that novel modifications are prone to ONT errors, which are correctable by WGA or Modpolish without additional short-read sequencing.

bioinformatics↗

bioRxiv2021

LongPhase: an ultra-fast chromosome-scale phasing algorithm for small and large variants

Long-read phasing has been used for reconstructing diploid genomes, improving variant calling, and resolving microbial strains in metagenomics. However, the phasing blocks of existing methods are broken by large Structural Variations (SVs), and the efficiency is unsatisfactory for population-scale phasing. This paper presents an ultra-fast algorithm, LongPhase, which can simultaneously phase single nucleotide polymorphisms (SNPs) and SVs of a human genome in [~]10-20 minutes, 10x faster than the state-of-the-art WhatsHap and Margin. In particular, LongPhase produces much larger phased blocks at almost chromosome level with only long reads (N50=26Mbp). We demonstrate that LongPhase combined with Nanopore is a cost-effective approach for providing chromosome-scale phasing without the need for additional trios, chromosome-conformation, and single-cell strand-seq data.

bioinformatics↗

bioRxiv2021

Witnessing the Structural Evolution of an RNA Enzyme

An RNA polymerase ribozyme that has been the subject of extensive directed evolution efforts has attained the ability to synthesize complex functional RNAs, including a full-length copy of its own evolutionary ancestor. During the course of evolution, the catalytic core of the ribozyme has undergone a major structural rearrangement, resulting in a novel tertiary structural element that lies in close proximity to the active site. Through a combination of site-directed mutagenesis, structural probing, and deep sequencing analysis, the trajectory of evolution was seen to involve the progressive stabilization of the new structure, which provides the basis for improved catalytic activity of the ribozyme. Multiple paths to the new structure were explored by the evolving population, converging upon a common solution. Tertiary structural remodeling of RNA is known to occur in nature, as evidenced by the phylogenetic analysis of extant organisms, but this type of structural innovation had not previously been observed in an experimental setting. Despite prior speculation that the catalytic core of the ribozyme had become trapped in a narrow local fitness optimum, the evolving population has broken through to a new fitness locale, suggesting that further improvement of polymerase activity may be achievable.

biochemistry↗

bioRxiv2020

High-Quality Genomes of Nanopore Sequencing by Homologous Polishing

Nanopore sequencing has been widely used for reconstruction of a variety of microbial genomes. Owing to the higher error rate, the assembled genome requires further error correction. Existing methods erase many of these errors via deep neural network trained from Nanopore reads. However, quite a few systematic errors are still left on the genome. This paper proposed a new model trained from homologous sequences extracted from closely-related genomes, which provides valuable features missed in Nanopore reads. The developed program (called Homopolish) outperforms the state-of-the-art Racon/Medaka and MarginPolish/HELEN pipelines in metagenomic and isolates of bacteria, viruses and fungi. When Homopolish is combined with Medaka or with HELEN, the genomes quality can exceed Q50 on R9.4 flowcells. The genome quality can be also improved on R10.3 flowcells (Q50-Q90). We proved that Nanopore-only sequencing can now produce high-quality genomes without the need of Illumina hybrid sequencing.

bioinformatics↗

bioRxiv2020

Intestinal progenitor P-bodies maintain stem cell identity by suppressing pro-differentiation factors.

The role of Processing bodies (P-bodies), key sites of post-transcriptional control, in adult stem cells remains poorly understood. Here, we report that adult Drosophila intestinal stem cells, but not surrounding differentiated cells such as absorptive Enterocytes (ECs), harbor P-bodies that contain Drosophila orthologs of mammalian P-body components DDX6, EDC3, EDC4 and LSM14A/B. A targeted RNAi screen in intestinal progenitor cells identified 39 previously known and 64 novel P-body regulators, including Patr-1, a gene necessary for P-body assembly. Loss of Patr-1-dependent P-bodies leads to a loss of stem cells that is associated with inappropriate translation and expression of EC-fate gene nubbin. Transcriptomic analysis of progenitor cells identifies a cadre of such weakly transcribed pro-differentiation transcripts that are elevated after P-body loss. Altogether, this study identifies a coordinated P-body dependent, translational and transcriptional repression program that maintains a defined set of in vivo stem cells in a state primed for differentiation. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/175398v2_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@d57273org.highwire.dtl.DTLVardef@14d057aorg.highwire.dtl.DTLVardef@1a2c4a5org.highwire.dtl.DTLVardef@11c5ba3_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIDrosophila intestinal progenitor cells contain constitutive and ultrastructurally organized P-bodies. C_LIO_LIA P-body regulator Patr-1 is required for intestinal progenitor cell maintenance. C_LIO_LIEnterocyte (EC) genes such as nubbin are weakly transcribed but not translated in intestinal progenitors. C_LIO_LIP-bodies repress EC gene translation to promote stem cell maintenance. C_LI

cell biology↗

bioRxiv2020

Directed effective connectivity and synaptic weights of invitro neuronal cultures revealed from high-density multielectrode array recordings

Studying connectivity of neuronal cultures can provide insights for understanding brain networks but it is challenging to reveal neuronal connectivity from measurements. We apply a novel method that uses a theoretical relation between the time-lagged cross-covariance and the equal-time cross-covariance to reveal directed effective connectivity and synaptic weights of cortical neuron cultures at different days in vitro from multielectrode array recordings. Using a stochastic leaky-integrate-and-fire model, we show that the simulated spiking activity of the reconstructed networks can well capture the measured network bursts. The neuronal networks are found to be highly nonrandom with an over-representation of bidirectionally connections as compared to a random network of the same connection probability, with the fraction of inhibitory nodes comparable to the measured fractions of inhibitory neurons in various cortical regions in monkey, and have small-world topology with basic network measures comparable to those of the nematode C. elegans chemical synaptic network. Our analyses further reveal that (i) the excitatory and inhibitory incoming degrees have bimodal distributions the excitatory and inhibitory incoming degrees have bimodal distributions, which are that distributions that have been indicated to be optimal against both random failures and attacks in undirected networks; (ii) the distribution of the physical length of excitatory incoming links has two peaks indicating that excitatory signal is transmitted at two spatial scales, one localized to nearest nodes and the other spatially extended to nodes millimeters away, and the shortest links are mostly excitatory towards excitatory nodes and have larger synaptic weights on average; (iii) the average incoming and outgoing synaptic strength is non-Gaussian with long tails and, in particular, the distribution of outgoing synaptic strength of excitatory nodes with excitatory incoming synaptic strength is lognormal, similar to the measured excitatory postsynaptic potential in rat cortex. Author summaryTo understand how the brain processes signal and carries out its function, it is useful to know the connectivity of the underlying neuronal circuits. For large-scale neuronal networks, it is difficult to measure connectivity directly using electron microscopy techniques and methods that can estimate connectivity from electrophysiological recordings are thus highly desirable. Existing methods focus mainly on estimating functional connectivity, which is defined by statistical dependencies between neuronal activities but the relevant direct casual interactions are captured by effective connectivity. Here we apply a novel covariance-relation based method to estimate the directed effective connectivity and synaptic weights of cortical neuron cultures from recordings of multielectrode array of over 4000 electrodes taken at different days in vitro. The neuronal networks are found to be nonrandom, small-world, excitation/inhibition balanced as measured in monkey cortex, and with feeder hubs. Our analyses further suggest some form of specialisation of nodes in receiving excitatory and inhibitory signals and the transmission of excitatory signals at two spatial scales, one localized to nearest nodes and the other spatially extended to nodes millimeters away, and reveal that the distributions of the average incoming and outgoing synaptic strength are skewed with long tails.

neuroscience↗

bioRxiv2019

Astrocytic mechanism of glutamate modulation underlying synchronous bursting in cortical cultures

Synchronous bursting (SB) is ubiquitous in neuronal networks. It is known for a long time that SB is driven by glutamatergic neurotransmissions but its underlying mechanism is still unclear. Recent studies show that local glutamate recycle by astrocytes can affect neuronal activities nearby. Since SB is independent of network structure, it is conceivable that the local dynamics might also be the origin of SB in networks. We investigated the effects of local glutamate dynamics on SBs in both cultures developed on multi-electrode array (MEA) systems and a tripartite synapse simulation model. In our experiments, local glutamate recycle dynamics are studied by pharmacologically targeting the astrocytic glutamate transporters (GLT-1), while neuronal firing activities and synaptic glutamate level are simultaneously monitored with MEA and glutamate sensor (iGluSnFR) expressed on surface of astrocytes respectively. We found SBs to be synchronized with glutamate transients and the manipulation of local glutamate dynamics can indeed alter the global properties of the SBs. Detailed simulation of a network with astrocytic glutamate uptake and recycle mechanisms conforming with the experimental observations revealed that astrocytes function as a slow negative feedback for the neuronal activities in the network. With this model, SB can be understood as the alternation between the positive and negative feedback in the neurons and astrocytes in the network respectively. An understanding of this glutamate trafficking dynamics is of general application to explain disordered phenomena in neuronal systems, and therefore can provide new insights into the origin of fatal seizure-like behavior. SignificanceSynchronous bursting (SB) is a hallmark of neuronal circuits. Contrary to the common belief that the SB is governed mainly by neuron-neuron interactions, this study shows that SBs are orchestrated through a generic neuron-astrocyte tripartite interactions. These interactions, identified as glutamate uptake and recycle processes in astrocytes, control the excitability of neuronal networks and shape the overall SB patterns. Our simulation results suggest that astrocytes traffic more glutamate than neurons and actively regulating glutamate proceedings around synapses. A bipartite synapse is a good approximation of a tripartite synapse provided that astrocyte-dependent glutamate content is taken into account. Our findings provide key insights into the ubiquity of SB and the origin of fatal seizure-like behavior in brain arising from astrocytic malfunction.

neuroscience↗