文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

针对高通量测序(HTS)在常规植物病毒诊断中的验证:与 HTS 检测柑橘病毒和类病毒相关的变异测量。

Towards the validation of high-throughput sequencing (HTS) for routine plant virus diagnostics: measurement of variation linked to HTS detection of citrus viruses and viroids.

机构信息

Department of Genetics, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa.

Citrus Research International, P.O. Box 28, Nelspruit, 1200, South Africa.

出版信息

Virol J. 2021 Mar 22;18(1):61. doi: 10.1186/s12985-021-01523-1.


DOI:10.1186/s12985-021-01523-1
PMID:33752714
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7986492/
Abstract

BACKGROUND: High-throughput sequencing (HTS) has been applied successfully for virus and viroid discovery in many agricultural crops leading to the current drive to apply this technology in routine pathogen detection. The validation of HTS-based pathogen detection is therefore paramount. METHODS: Plant infections were established by graft inoculating a suite of viruses and viroids from established sources for further study. Four plants (one healthy plant and three infected) were sampled in triplicate and total RNA was extracted using two different methods (CTAB extraction protocol and the Zymo Research Quick-RNA Plant Miniprep Kit) and sent for Illumina HTS. One replicate sample of each plant for each RNA extraction method was also sent for HTS on an Ion Torrent platform. The data were evaluated for biological and technical variation focussing on RNA extraction method, platform used and bioinformatic analysis. RESULTS: The study evaluated the influence of different HTS protocols on the sensitivity, specificity and repeatability of HTS as a detection tool. Both extraction methods and sequencing platforms resulted in significant differences between the data sets. Using a de novo assembly approach, complemented with read mapping, the Illumina data allowed a greater proportion of the expected pathogen scaffolds to be inferred, and an accurate virome profile was constructed. The complete virome profile was also constructed using the Ion Torrent data but analyses showed that more sequencing depth is required to be comparative to the Illumina protocol and produce consistent results. The CTAB extraction protocol lowered the proportion of viroid sequences recovered with HTS, and the Zymo Research kit resulted in more variation in the read counts obtained per pathogen sequence. The expression profiles of reference genes were also investigated to assess the suitability of these genes as internal controls to allow for the comparison between samples across different protocols. CONCLUSIONS: This study highlights the need to measure the level of variation that can arise from the different variables of an HTS protocol, from sample preparation to data analysis. HTS is more comprehensive than any assay previously used, but with the necessary validations and standard operating procedures, the implementation of HTS as part of routine pathogen screening practices is possible.

摘要

背景:高通量测序(HTS)已成功应用于许多农作物中的病毒和类病毒的发现,这促使目前将该技术应用于常规病原体检测。因此,HTS 病原体检测的验证至关重要。

方法:通过嫁接接种来自已建立来源的一系列病毒和类病毒来建立植物感染,以便进一步研究。四个植物(一个健康植物和三个感染植物)每个都采集了三份样本,使用两种不同的方法(CTAB 提取方案和 Zymo Research Quick-RNA 植物 MiniPrep 试剂盒)提取总 RNA,并发送到 Illumina HTS 进行分析。每个 RNA 提取方法的每个植物的一份样本也被送到 Ion Torrent 平台进行 HTS。该研究重点关注 RNA 提取方法、使用的平台和生物信息学分析,评估了生物和技术变异对 HTS 作为检测工具的灵敏度、特异性和可重复性的影响。

结果:两种提取方法和测序平台都导致数据集之间存在显著差异。使用从头组装方法,辅以读映射,Illumina 数据允许推断出更大比例预期病原体支架,并构建了准确的病毒组图谱。使用 Ion Torrent 数据也构建了完整的病毒组图谱,但分析表明,需要更多的测序深度才能与 Illumina 方案进行比较并产生一致的结果。CTAB 提取方案降低了通过 HTS 回收的类病毒序列的比例,而 Zymo Research 试剂盒导致每个病原体序列的读取计数变化更大。还研究了参考基因的表达谱,以评估这些基因作为内部对照的适用性,以便在不同方案之间比较样本。

结论:本研究强调了需要测量 HTS 协议的不同变量(从样品制备到数据分析)可能产生的变异水平。HTS 比以前使用的任何检测方法都更全面,但通过必要的验证和标准操作程序,HTS 作为常规病原体筛选实践的一部分的实施是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/df4ff386d201/12985_2021_1523_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/5610d4791524/12985_2021_1523_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/a56b351e1502/12985_2021_1523_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/ee10d4f13b60/12985_2021_1523_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/38487a7384e7/12985_2021_1523_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/3eaaa1c43596/12985_2021_1523_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/f930aad0bec1/12985_2021_1523_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/9c5ef2d42803/12985_2021_1523_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/a78895c5f802/12985_2021_1523_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/df4ff386d201/12985_2021_1523_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/5610d4791524/12985_2021_1523_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/a56b351e1502/12985_2021_1523_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/ee10d4f13b60/12985_2021_1523_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/38487a7384e7/12985_2021_1523_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/3eaaa1c43596/12985_2021_1523_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/f930aad0bec1/12985_2021_1523_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/9c5ef2d42803/12985_2021_1523_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/a78895c5f802/12985_2021_1523_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd01/7986492/df4ff386d201/12985_2021_1523_Fig9_HTML.jpg

相似文献

[1]
Towards the validation of high-throughput sequencing (HTS) for routine plant virus diagnostics: measurement of variation linked to HTS detection of citrus viruses and viroids.

Virol J. 2021-3-22

[2]
Validation of High-Throughput Sequencing (HTS) for Routine Detection of Citrus Viruses and Viroids.

Methods Mol Biol. 2024

[3]
Reproducibility and Sensitivity of High-Throughput Sequencing (HTS)-Based Detection of Citrus Tristeza Virus and Three Citrus Viroids.

Plants (Basel). 2022-7-26

[4]
High-Throughput Sequencing of Small RNAs for Diagnostics of Grapevine Viruses and Viroids in Russia.

Viruses. 2021-12-3

[5]
The Use of High-Throughput Sequencing for the Study and Diagnosis of Plant Viruses and Viroids in Pollen.

Methods Mol Biol. 2018

[6]
Comparative study on three viral enrichment approaches based on RNA extraction for plant virus/viroid detection using high-throughput sequencing.

PLoS One. 2020-8-25

[7]
Validation of high-throughput real time polymerase chain reaction assays for simultaneous detection of invasive citrus pathogens.

J Virol Methods. 2013-7-23

[8]
Sequencing viral siRNAs to identify previously undescribed viruses and viroids in a panel of ornamental plant samples structured as a matrix of pools.

Virus Res. 2017-5-31

[9]
Citrus Tristeza Virus Genotype Detection Using High-Throughput Sequencing.

Viruses. 2021-1-23

[10]
Double-Stranded RNA-Enriched Preparations to Identify Viroids by Next-Generation Sequencing.

Methods Mol Biol. 2018

引用本文的文献

[1]
Progress in Our Understanding of the Cross-Protection Mechanism of CTV-VT No-SY Isolates Against Homologous SY Isolates.

Pathogens. 2025-7-16

[2]
Viroscope™: a universal solution for plant virus and viroid diagnostics using HTS and cloud-based analysis.

Front Microbiol. 2025-7-3

[3]
A Novel Multi-Gene Combined RT-PCR Assay for Rapid and Sensitive Detection of Maize Dwarf Mosaic Virus.

Viruses. 2025-3-5

[4]
High-Throughput Sequencing for the Detection of Viruses in Grapevine: Performance Analysis and Best Practices.

Viruses. 2024-12-20

[5]
High-Throughput Sequencing Methods for the Detection of Two Strawberry Viruses in Post-Entry Quarantine.

Viruses. 2024-9-30

[6]
Simulated High Throughput Sequencing Datasets: A Crucial Tool for Validating Bioinformatic Pathogen Detection Pipelines.

Biology (Basel). 2024-9-6

[7]
Recent advances and challenges in plant viral diagnostics.

Front Plant Sci. 2024-8-13

[8]
Diagnosis and Characterization of Plant Viruses Using HTS to Support Virus Management and Tomato Breeding.

Viruses. 2024-5-31

[9]
Mixed infection of two mandariviruses identified by high-throughput sequencing in Kinnow mandarin and development of their specific detection using duplex RT-PCR.

3 Biotech. 2024-6

[10]
Viral Metatranscriptomic Analysis to Reveal the Diversity of Viruses Infecting Satsuma Mandarin (Citrus unshiu) in Korea.

Plant Pathol J. 2024-4

本文引用的文献

[1]
Citrus Tristeza Virus Genotype Detection Using High-Throughput Sequencing.

Viruses. 2021-1-23

[2]
Illuminating an Ecological Blackbox: Using High Throughput Sequencing to Characterize the Plant Virome Across Scales.

Front Microbiol. 2020-10-16

[3]
Sensitivity and breadth of detection of high-throughput sequencing for adventitious virus detection.

NPJ Vaccines. 2020-7-17

[4]
Two Novel Negative-Sense RNA Viruses Infecting Grapevine Are Members of a Newly Proposed Genus within the Family Phenuiviridae.

Viruses. 2019-7-26

[5]
Bioinformatic Tools and Genome Analysis of Citrus tristeza virus.

Methods Mol Biol. 2019

[6]
High Throughput Sequencing For Plant Virus Detection and Discovery.

Phytopathology. 2019-4-1

[7]
Application of Next Generation Sequencing for Diagnostic Testing of Tree Fruit Viruses and Viroids.

Plant Dis. 2017-6-26

[8]
Discovery of Negative-Sense RNA Viruses in Trees Infected with Apple Rubbery Wood Disease by Next-Generation Sequencing.

Plant Dis. 2018-4-27

[9]
Small RNA-Omics for Plant Virus Identification, Virome Reconstruction, and Antiviral Defense Characterization.

Front Microbiol. 2018-11-20

[10]
A Negative-Stranded RNA Virus Infecting Citrus Trees: The Second Member of a New Genus Within the Order .

Front Microbiol. 2018-10-2

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索