湖南省柑橘茎蚀病病毒分离株的高通量测序

Grazia Licciardello, Giuseppe Scuderi, Rosario Ferraro, Marcella Russo, Su Ming Dai, Antonino F. Catara, Ziniu N Deng
{"title":"湖南省柑橘茎蚀病病毒分离株的高通量测序","authors":"Grazia Licciardello, Giuseppe Scuderi, Rosario Ferraro, Marcella Russo, Su Ming Dai, Antonino F. Catara, Ziniu N Deng","doi":"10.5070/c410150834","DOIUrl":null,"url":null,"abstract":"A stem-pitting isolate of citrus tristeza virus (CTV), spreading in Hunan province of  China (HU-PSTS), was sequenced and indexed on indicator plants. Biological assays showed that HU-PSTS is a highly aggressive stem pitting isolate belonging to biogroup 5. Viral small RNAs (18-26 nt) of the isolate were deep sequenced by Illumina technology to gain genomic information on the CTV strain infecting the source plant. The reads mapping with 17 CTV reference genomes enabled us to re-assemble the genomes of VT, T68, T30 and T3 strains. Among the VT, the highest number of mapped reads (47-41%) was with SG29, T318A, CT11A, Nuaga and AT-1 genomes, whereas T68, T30 and T3 genomes were less represented (28-20%). Alignments with genomes belonging to T36 and RB strains revealed percentage of mapped reads ranging from 10 to 12%. This is the first sequenced genome of a CTV isolate from Hunan province. According to the results, further sequencing and bioindexing need to be developed to explore the potential of a local cross protective strategy.","PeriodicalId":486784,"journal":{"name":"Journal of citrus pathology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"High throughput sequencing of a stem pitting citrus tristeza virus isolate from Hunan Province P.R. China\",\"authors\":\"Grazia Licciardello, Giuseppe Scuderi, Rosario Ferraro, Marcella Russo, Su Ming Dai, Antonino F. Catara, Ziniu N Deng\",\"doi\":\"10.5070/c410150834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A stem-pitting isolate of citrus tristeza virus (CTV), spreading in Hunan province of  China (HU-PSTS), was sequenced and indexed on indicator plants. Biological assays showed that HU-PSTS is a highly aggressive stem pitting isolate belonging to biogroup 5. Viral small RNAs (18-26 nt) of the isolate were deep sequenced by Illumina technology to gain genomic information on the CTV strain infecting the source plant. The reads mapping with 17 CTV reference genomes enabled us to re-assemble the genomes of VT, T68, T30 and T3 strains. Among the VT, the highest number of mapped reads (47-41%) was with SG29, T318A, CT11A, Nuaga and AT-1 genomes, whereas T68, T30 and T3 genomes were less represented (28-20%). Alignments with genomes belonging to T36 and RB strains revealed percentage of mapped reads ranging from 10 to 12%. This is the first sequenced genome of a CTV isolate from Hunan province. According to the results, further sequencing and bioindexing need to be developed to explore the potential of a local cross protective strategy.\",\"PeriodicalId\":486784,\"journal\":{\"name\":\"Journal of citrus pathology\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of citrus pathology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5070/c410150834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of citrus pathology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5070/c410150834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

对湖南省流行的柑橘tristeza病毒(CTV)茎裂分离株(HU-PSTS)进行了测序,并在指示植物上进行了标记。生物学分析表明,HU-PSTS是一种具有高度侵袭性的茎蚀分离株,属于生物群5。利用Illumina技术对分离的病毒小rna (18- 26nt)进行深度测序,以获得感染源植物的CTV菌株的基因组信息。与17个CTV参考基因组的reads图谱使我们能够重新组装VT、T68、T30和T3菌株的基因组。其中,SG29、T318A、CT11A、Nuaga和AT-1基因组的测序结果最多(47-41%),T68、T30和T3基因组的测序结果较少(28-20%)。与属于T36和RB菌株的基因组比对显示,映射reads的百分比在10%至12%之间。这是湖南省CTV分离株首次基因组测序。根据这些结果,需要进一步的测序和生物索引,以探索局部交叉保护策略的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High throughput sequencing of a stem pitting citrus tristeza virus isolate from Hunan Province P.R. China
A stem-pitting isolate of citrus tristeza virus (CTV), spreading in Hunan province of  China (HU-PSTS), was sequenced and indexed on indicator plants. Biological assays showed that HU-PSTS is a highly aggressive stem pitting isolate belonging to biogroup 5. Viral small RNAs (18-26 nt) of the isolate were deep sequenced by Illumina technology to gain genomic information on the CTV strain infecting the source plant. The reads mapping with 17 CTV reference genomes enabled us to re-assemble the genomes of VT, T68, T30 and T3 strains. Among the VT, the highest number of mapped reads (47-41%) was with SG29, T318A, CT11A, Nuaga and AT-1 genomes, whereas T68, T30 and T3 genomes were less represented (28-20%). Alignments with genomes belonging to T36 and RB strains revealed percentage of mapped reads ranging from 10 to 12%. This is the first sequenced genome of a CTV isolate from Hunan province. According to the results, further sequencing and bioindexing need to be developed to explore the potential of a local cross protective strategy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信