Complete plastid genomes have been proposed as potential“super-barcodes”for plant identification and delineation,particularly in cases where standard DNA barcodes may be insufficient.However,few studies have systema...Complete plastid genomes have been proposed as potential“super-barcodes”for plant identification and delineation,particularly in cases where standard DNA barcodes may be insufficient.However,few studies have systematically addressed how taxonomic complexity,especially in rapidly radiating lineages with intricate evolutionary histories,might influencethe efficacyof plastome-scale barcodes.Pedicularis is a hyperdiverse genus in the Himalaya-Hengduan Mountains,and previous studies have demonstrated high discriminatory power of the standard barcodes within this genus.Therefore,Pedicularis serves as a model for investigating the key plastome-sequence characteristics and biological phenomena that determine species-discrimination capacity.In this study,we evaluated 292 plastomes representing 96 Pedicularis species to compare the discriminatory power of complete plastid genomes with of standard DNA barcodes.Our results revealed that the traditional standard barcode combination(nrITS+matK+rbcL+trnH-psbA)achieved the highest discrimination rates(81.25%),closely followed by the plastid large single copy(LSC)region(80.21%),then by full plastome,the supermatrix of proteincoding genes,and hypervariable regions(79.17%).Notably,the matK and ycf1 gene alone could discriminate 78.13%of species.Key determinants of species discrimination by integrating alignment length(AL)and the proportion of parsimony-informative sites(PPIS),as well as conserved genes under relaxed selection exhibiting stronger discriminatory capacity.Unlike previous studies that demonstrated superior discrimination rates of plastome-scale barcodes,this study reveals a notable exception of minimal differences between traditional DNA and plastome-scale barcodes that appearing linked to Pedicularis’specificbiological habits and potentially reflectingunique evolutionary patterns in the plastid genome.展开更多
The real-time screening of biomolecules and single cells in biochips is extremely important for disease prediction and diagnosis,cellular analysis,and life science research.Barcode biochip technology,which is integrat...The real-time screening of biomolecules and single cells in biochips is extremely important for disease prediction and diagnosis,cellular analysis,and life science research.Barcode biochip technology,which is integrated with microfluidics,typically comprises barcode array,sample loading,and reaction unit array chips.Here,we present a review of microfluidics barcode biochip analytical approaches for the high-throughput screening of biomolecules and single cells,including protein biomarkers,microRNA(miRNA),circulating tumor DNA(ctDNA),single-cell secreted proteins,single-cell exosomes,and cell interactions.We begin with an overview of current high-throughput detection and analysis approaches.Following this,we outline recent improvements in microfluidic devices for biomolecule and single-cell detection,highlighting the benefits and limitations of these devices.This paper focuses on the research and development of microfluidic barcode biochips,covering their self-assembly substrate materials and their specific applications with biomolecules and single cells.Looking forward,we explore the prospects and challenges of this technology,with the aim of contributing toward the use of microfluidic barcode detection biochips in medical diagnostics and therapies,and their large-scale commercialization.展开更多
This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional(1D)barcodes and Quick Response(QR)codes,addressing critical challenges in logistics ope...This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional(1D)barcodes and Quick Response(QR)codes,addressing critical challenges in logistics operations.The proposed solution leverages an efficient Pix2Pix-based framework,a type of conditional Generative Adversarial Network(GAN)optimized for image-to-image translation tasks,enabling the recovery of degraded barcodes and QR codes with minimal computational overhead.A core contribution of this work is the development of a synthetic dataset that simulates realistic damage scenarios frequently encountered in logistics environments,such as low contrast,misalignment,physical wear,and environmental interference.By training on this diverse and realistic dataset,the model demonstrates exceptional performance in restoring readability and decoding accuracy.The lightweight architecture,featuring a U-Net-based encoder-decoder with separable convolutions,ensures computational efficiency,making the approach suitable for real-time deployment on embedded and resource-constrained devices commonly used in logistics systems.Experimental results reveal significant improvements:QR code decoding ratios increased from 14%to 99%on training data and from 15%to 68%on validation data,while 1D barcode decoding ratios improved from 7%to 73%on training data and from 9%to 44%on validation data.By providing a robust,resource-efficient solution for restoring damaged barcodes and QR codes,this study offers practical advancements for enhancing the reliability of automated scanning systems in logistics operations,particularly under challenging conditions.展开更多
Three newly recorded species in the order Acerentomata in Protura from China are described:Filientomon duodecimsetosum Nakamura,2004,Verrucoentomon anatoli Shrubovych & Bernard,2012 and Verrucoentomon louisanne Sh...Three newly recorded species in the order Acerentomata in Protura from China are described:Filientomon duodecimsetosum Nakamura,2004,Verrucoentomon anatoli Shrubovych & Bernard,2012 and Verrucoentomon louisanne Shrubovych & Bernard,2012.The important morphological characters of Chinese specimens are described in detail.An updated key to Chinese Verrucoentomon species is provided.In addition,their DNA barcodes are sequenced and analyzed.展开更多
[Objective] The study aimed to solve the problem of morphological identi- fication difficulties and propose solutions for the identification of foreign mosquitoes that are difficult to identify. [Method] Based on the ...[Objective] The study aimed to solve the problem of morphological identi- fication difficulties and propose solutions for the identification of foreign mosquitoes that are difficult to identify. [Method] Based on the sequencing, alignment and anal- ysis of COl gene fragment, DNA barcode technology was used to identify 7 exotic mosquitoes, and the phylogenetic analysis was performed using MEGA6.0 and DNASTAR software. Then the morphological characteristics of the mosquitoes were reviewed. [Result[ These mosquitoes were Armigeres subalbatus, Culex gefidus, Anopheles gambiae, and Culiseta incidens. [Conclusion] DNA barcode technology is a useful supplement to the morphological classification method of mosquitoes.展开更多
Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the perfo...Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes （motK, rbcL, and ITS） were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment （PWG） distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.展开更多
Objective To provide a feasible and cost-effective next-generation sequencing （NGS） method for accurate identification of viral pathogens in clinical specimens, because enormous limitations impede the clinical use o...Objective To provide a feasible and cost-effective next-generation sequencing （NGS） method for accurate identification of viral pathogens in clinical specimens, because enormous limitations impede the clinical use of common NGS, such as high cost, complicated procedures, tremendous data analysis, and high background noise in clinical samples. Methods Viruses from cell culture materials or clinical specimens were identified following an improved NGS procedure： reduction of background noise by sample preprocessing, viral enrichment by barcoded oligonucleotide （random hexamer or non-ribosomal hexanucleotide） primer-based amplification, fragmentation-free library construction and sequencing of one-tube mixtures, as well as rapid data analysis using an in-house pipeline. Results NGS data demonstrated that both barcoded primer sets were useful to simultaneously capture multiple viral pathogens in cell culture materials or clinical specimens and verified that hexanucleotide primers captured as many viral sequences as hexamers did. Moreover, direct testing of clinical specimens using this improved hexanucleotide primer-based NGS approach provided further detailed genotypes of enteroviruses causing hand, foot, and mouth disease （HFMD） and identified other potential viruses or differentiated misdiagnosis events. Conclusion The improved barcoded oligonucleotide primer-based NGS approach is simplified, time saving, cost effective, and appropriate for direct identification of viral pathogens in clinical practice.展开更多
基金supported by the National Natural Science Foundation of China(32371700,32071670 and 31870196)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB31000000)+4 种基金the Science and Technology Basic Resources Investigation Program of China(2021FY100200)Yunnan Revitalization Talent Support Program“Young Talent”and“Innovation Team”Projects(202405AS350019)the 14th Five-Year Plan of Xishuangbanna Tropical Botanical Garden,Chinese Academy of Science(XTBG-1450101)the Key R&D program of Yunnan Province,China(202103AC100003)the Key Basic Research program of Yunnan Province,China(202101BC070003).
文摘Complete plastid genomes have been proposed as potential“super-barcodes”for plant identification and delineation,particularly in cases where standard DNA barcodes may be insufficient.However,few studies have systematically addressed how taxonomic complexity,especially in rapidly radiating lineages with intricate evolutionary histories,might influencethe efficacyof plastome-scale barcodes.Pedicularis is a hyperdiverse genus in the Himalaya-Hengduan Mountains,and previous studies have demonstrated high discriminatory power of the standard barcodes within this genus.Therefore,Pedicularis serves as a model for investigating the key plastome-sequence characteristics and biological phenomena that determine species-discrimination capacity.In this study,we evaluated 292 plastomes representing 96 Pedicularis species to compare the discriminatory power of complete plastid genomes with of standard DNA barcodes.Our results revealed that the traditional standard barcode combination(nrITS+matK+rbcL+trnH-psbA)achieved the highest discrimination rates(81.25%),closely followed by the plastid large single copy(LSC)region(80.21%),then by full plastome,the supermatrix of proteincoding genes,and hypervariable regions(79.17%).Notably,the matK and ycf1 gene alone could discriminate 78.13%of species.Key determinants of species discrimination by integrating alignment length(AL)and the proportion of parsimony-informative sites(PPIS),as well as conserved genes under relaxed selection exhibiting stronger discriminatory capacity.Unlike previous studies that demonstrated superior discrimination rates of plastome-scale barcodes,this study reveals a notable exception of minimal differences between traditional DNA and plastome-scale barcodes that appearing linked to Pedicularis’specificbiological habits and potentially reflectingunique evolutionary patterns in the plastid genome.
基金supported by the National Key Research and Development Plan of China(2023YFB3210400)the Natural Science Innovation Group Foundation of China(T2321004)+3 种基金the National Natural Science Foundation of China(62174101)Shandong University Integrated Research and Cultivation Project(2022JC001)Key Research and Development Plan of Shandong Province(Major Science and Technology Innovation Project2022CXGC020501).
文摘The real-time screening of biomolecules and single cells in biochips is extremely important for disease prediction and diagnosis,cellular analysis,and life science research.Barcode biochip technology,which is integrated with microfluidics,typically comprises barcode array,sample loading,and reaction unit array chips.Here,we present a review of microfluidics barcode biochip analytical approaches for the high-throughput screening of biomolecules and single cells,including protein biomarkers,microRNA(miRNA),circulating tumor DNA(ctDNA),single-cell secreted proteins,single-cell exosomes,and cell interactions.We begin with an overview of current high-throughput detection and analysis approaches.Following this,we outline recent improvements in microfluidic devices for biomolecule and single-cell detection,highlighting the benefits and limitations of these devices.This paper focuses on the research and development of microfluidic barcode biochips,covering their self-assembly substrate materials and their specific applications with biomolecules and single cells.Looking forward,we explore the prospects and challenges of this technology,with the aim of contributing toward the use of microfluidic barcode detection biochips in medical diagnostics and therapies,and their large-scale commercialization.
基金supported by the Scientific and Technological Research Council of Turkey(TÜB˙ITAK)through the Industrial R&D Projects Grant Program(TEYDEB)under Project No.3211077(grant recipient:Metin Kahraman)。
文摘This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional(1D)barcodes and Quick Response(QR)codes,addressing critical challenges in logistics operations.The proposed solution leverages an efficient Pix2Pix-based framework,a type of conditional Generative Adversarial Network(GAN)optimized for image-to-image translation tasks,enabling the recovery of degraded barcodes and QR codes with minimal computational overhead.A core contribution of this work is the development of a synthetic dataset that simulates realistic damage scenarios frequently encountered in logistics environments,such as low contrast,misalignment,physical wear,and environmental interference.By training on this diverse and realistic dataset,the model demonstrates exceptional performance in restoring readability and decoding accuracy.The lightweight architecture,featuring a U-Net-based encoder-decoder with separable convolutions,ensures computational efficiency,making the approach suitable for real-time deployment on embedded and resource-constrained devices commonly used in logistics systems.Experimental results reveal significant improvements:QR code decoding ratios increased from 14%to 99%on training data and from 15%to 68%on validation data,while 1D barcode decoding ratios improved from 7%to 73%on training data and from 9%to 44%on validation data.By providing a robust,resource-efficient solution for restoring damaged barcodes and QR codes,this study offers practical advancements for enhancing the reliability of automated scanning systems in logistics operations,particularly under challenging conditions.
基金supported by the National Natural Science Foundation of China(31471958,31272298)the Youth Innovation Promotion Association of the CAS(2013183)the Open Project of Key Laboratory of Insect Developmental and Evolutionary Biology,CAS(2009DP17321409)
文摘Three newly recorded species in the order Acerentomata in Protura from China are described:Filientomon duodecimsetosum Nakamura,2004,Verrucoentomon anatoli Shrubovych & Bernard,2012 and Verrucoentomon louisanne Shrubovych & Bernard,2012.The important morphological characters of Chinese specimens are described in detail.An updated key to Chinese Verrucoentomon species is provided.In addition,their DNA barcodes are sequenced and analyzed.
文摘[Objective] The study aimed to solve the problem of morphological identi- fication difficulties and propose solutions for the identification of foreign mosquitoes that are difficult to identify. [Method] Based on the sequencing, alignment and anal- ysis of COl gene fragment, DNA barcode technology was used to identify 7 exotic mosquitoes, and the phylogenetic analysis was performed using MEGA6.0 and DNASTAR software. Then the morphological characteristics of the mosquitoes were reviewed. [Result[ These mosquitoes were Armigeres subalbatus, Culex gefidus, Anopheles gambiae, and Culiseta incidens. [Conclusion] DNA barcode technology is a useful supplement to the morphological classification method of mosquitoes.
基金supported by the Fundamental Research Funds for the Central Universities(grant no.TD2012-04)the Scientific Research Foundation of the State Human Resource Ministry and the Education Ministry for Returned Chinese Scholars(to L.Xie)+2 种基金the State Key Laboratory Program from the State Key Laboratory of Systematic and Evolutionary Botany(grant no.LSEB2011-07)the Main Direction Program of Knowledge Innovation of the Chinese Academy of Sciences(grant no.KSCX2-EW-Z-1)the National Natural Science Foundation of China(grant nos.31170201,81072317,31110103911)
文摘Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes （motK, rbcL, and ITS） were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment （PWG） distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.
基金supported by the China Mega-Project for Infectious Disease(2016ZX10004-101,2016ZX10004-215)Beijing Municipal Science&Technology Commission Project(D151100002115003)Guangzhou Municipal Science&Technology Commission Project(2015B2150820)
文摘Objective To provide a feasible and cost-effective next-generation sequencing （NGS） method for accurate identification of viral pathogens in clinical specimens, because enormous limitations impede the clinical use of common NGS, such as high cost, complicated procedures, tremendous data analysis, and high background noise in clinical samples. Methods Viruses from cell culture materials or clinical specimens were identified following an improved NGS procedure： reduction of background noise by sample preprocessing, viral enrichment by barcoded oligonucleotide （random hexamer or non-ribosomal hexanucleotide） primer-based amplification, fragmentation-free library construction and sequencing of one-tube mixtures, as well as rapid data analysis using an in-house pipeline. Results NGS data demonstrated that both barcoded primer sets were useful to simultaneously capture multiple viral pathogens in cell culture materials or clinical specimens and verified that hexanucleotide primers captured as many viral sequences as hexamers did. Moreover, direct testing of clinical specimens using this improved hexanucleotide primer-based NGS approach provided further detailed genotypes of enteroviruses causing hand, foot, and mouth disease （HFMD） and identified other potential viruses or differentiated misdiagnosis events. Conclusion The improved barcoded oligonucleotide primer-based NGS approach is simplified, time saving, cost effective, and appropriate for direct identification of viral pathogens in clinical practice.
