臭椿基因组调查、测序及SSR标记鉴定

IF 1.1 4区 农林科学 Q3 FORESTRY Silvae Genetica Pub Date : 2022-01-01 DOI:10.2478/sg-2022-0006
Yaping Ma, M. J. Devi, Lihua Song, Handong Gao, B. Cao
{"title":"臭椿基因组调查、测序及SSR标记鉴定","authors":"Yaping Ma, M. J. Devi, Lihua Song, Handong Gao, B. Cao","doi":"10.2478/sg-2022-0006","DOIUrl":null,"url":null,"abstract":"Abstract Ailanthus altissima is a deciduous tree native to China and introduced to other parts of the world as an ornamental plant. It exhibits resistance to both abiotic and biotic stress factors and has various pharmacological effects and strong allelopathy, generating significant research interests. However, the genome sequence of this species has not been reported, limiting its research development. The purpose of the study was to determine the genome size and characteristics of A. altissima to conduct its genomic survey. Next-generation sequencing and K-mer analysis were employed to measure the genome size of A. altissima. Overall, a total of 61.93 Gb high-quality clean data were acquired, representing approximately 64.09× coverage of the A. altissima genome. The genomic characteristics of A. altissima include a genome size of 966.38 Mbp, a heterozygosis rate of 0.78 %, and a repeat rate of 41.22 %. A total of 735,179 genomic SSRs markers were identified based on genome survey sequences. Alignment analysis showed that A. altissima was closely related to Citrus sinensis and Leitneria florida-na. This study provides basic information for future whole-genomic sequencing of A. altissima. This will facilitate a knowledge of the population structure, genetic diversity, long distance-gene transfer, and pollen-based gene flow analyses of A. altissima populations from its known distribution ranges in China, focusing on planted and natural forest stands.","PeriodicalId":21834,"journal":{"name":"Silvae Genetica","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genome survey sequencing of Ailanthus altissima and identification of simple sequence repeat (SSR) markers\",\"authors\":\"Yaping Ma, M. J. Devi, Lihua Song, Handong Gao, B. Cao\",\"doi\":\"10.2478/sg-2022-0006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Ailanthus altissima is a deciduous tree native to China and introduced to other parts of the world as an ornamental plant. It exhibits resistance to both abiotic and biotic stress factors and has various pharmacological effects and strong allelopathy, generating significant research interests. However, the genome sequence of this species has not been reported, limiting its research development. The purpose of the study was to determine the genome size and characteristics of A. altissima to conduct its genomic survey. Next-generation sequencing and K-mer analysis were employed to measure the genome size of A. altissima. Overall, a total of 61.93 Gb high-quality clean data were acquired, representing approximately 64.09× coverage of the A. altissima genome. The genomic characteristics of A. altissima include a genome size of 966.38 Mbp, a heterozygosis rate of 0.78 %, and a repeat rate of 41.22 %. A total of 735,179 genomic SSRs markers were identified based on genome survey sequences. Alignment analysis showed that A. altissima was closely related to Citrus sinensis and Leitneria florida-na. This study provides basic information for future whole-genomic sequencing of A. altissima. This will facilitate a knowledge of the population structure, genetic diversity, long distance-gene transfer, and pollen-based gene flow analyses of A. altissima populations from its known distribution ranges in China, focusing on planted and natural forest stands.\",\"PeriodicalId\":21834,\"journal\":{\"name\":\"Silvae Genetica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Silvae Genetica\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.2478/sg-2022-0006\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Silvae Genetica","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.2478/sg-2022-0006","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0

摘要

Ailanthus altissima是一种原产于中国的落叶乔木,作为观赏植物引种到世界各地。它对非生物和生物应激因子均具有抗性,具有多种药理作用和较强的化感作用,是目前研究的热点。然而,该物种的基因组序列尚未报道,限制了其研究发展。本研究的目的是确定高山莲的基因组大小和特征,对其进行基因组调查。采用新一代测序和K-mer分析方法测定了高山莲的基因组大小。总体而言,共获得61.93 Gb的高质量干净数据,约占altissima基因组覆盖率的64.09倍。其基因组大小为966.38 Mbp,杂合率为0.78%,重复率为41.22%。基于基因组调查序列共鉴定出735179个基因组SSRs标记。比对分析表明,高刺草与柑橘和佛罗里达Leitneria亲缘关系较近。该研究可为今后的全基因组测序提供基础信息。这将有助于了解中国已知分布范围内的高山莲种群的种群结构、遗传多样性、长距离基因转移和基于花粉的基因流分析,重点是人工林和天然林。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Genome survey sequencing of Ailanthus altissima and identification of simple sequence repeat (SSR) markers
Abstract Ailanthus altissima is a deciduous tree native to China and introduced to other parts of the world as an ornamental plant. It exhibits resistance to both abiotic and biotic stress factors and has various pharmacological effects and strong allelopathy, generating significant research interests. However, the genome sequence of this species has not been reported, limiting its research development. The purpose of the study was to determine the genome size and characteristics of A. altissima to conduct its genomic survey. Next-generation sequencing and K-mer analysis were employed to measure the genome size of A. altissima. Overall, a total of 61.93 Gb high-quality clean data were acquired, representing approximately 64.09× coverage of the A. altissima genome. The genomic characteristics of A. altissima include a genome size of 966.38 Mbp, a heterozygosis rate of 0.78 %, and a repeat rate of 41.22 %. A total of 735,179 genomic SSRs markers were identified based on genome survey sequences. Alignment analysis showed that A. altissima was closely related to Citrus sinensis and Leitneria florida-na. This study provides basic information for future whole-genomic sequencing of A. altissima. This will facilitate a knowledge of the population structure, genetic diversity, long distance-gene transfer, and pollen-based gene flow analyses of A. altissima populations from its known distribution ranges in China, focusing on planted and natural forest stands.
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
Silvae Genetica
Silvae Genetica 农林科学-林学
CiteScore
2.20
自引率
10.00%
发文量
10
审稿时长
3 months
期刊介绍: Silvae Genetica is an international peer reviewed journal with more than 65 year tradition and experience in all fields of theoretical and applied Forest Genetics and Tree breeding. It continues "Zeitschrift für Forstgenetik und Forstpflanzenzüchtung" (Journal of Forest Genetics and Forest Tree Breeding) founded by W. LANGNER in 1951.
期刊最新文献
Identification of superior hybrid clones for fibre biometry in Eucalyptus camaldulensis × E. tereticornis using multi trait stability index A Novel Set of Chloroplast SSR Markers for the Genus Juglans Reveals Within Species Differentiation An improved and effective DNA extraction protocol for Pyracantha crenulata with optimal PCR reliability Accuracy Evaluation of Visible-Near Infrared Spectroscopy for Detecting Insect Damage in Acorns of Quercus acuta High-molecular-weight DNA extraction for broadleaved and conifer tree species
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1