在一项跨土壤和黑麦草植物研究中,对用于细菌群落分析的 16S rRNA 基因引物对进行评估

Shengjing Shi, Sandeep Kumar, Sandra Young, Paul Maclean, Ruy Jauregui
{"title":"在一项跨土壤和黑麦草植物研究中,对用于细菌群落分析的 16S rRNA 基因引物对进行评估","authors":"Shengjing Shi,&nbsp;Sandeep Kumar,&nbsp;Sandra Young,&nbsp;Paul Maclean,&nbsp;Ruy Jauregui","doi":"10.1002/sae2.12075","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>As microbes play important roles in many hosts and niches, linking microbiota across niches is becoming an important area of research. Studying microbiota across multiple niches would allow understanding of ecosystem-level interactions and potential points of better manipulation for agriculture gains. However, a suitable methodology to characterize microbiota from vast different niches is currently lacking. We used the plant shoot and soil as two important niches for this case study.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>Considering the important linkage plant play in connecting above- and below-ground ecosystems and challenges of working with plant microbiota, we first compared three commonly used 16S ribosomal RNA gene primer pairs targeting V3–V4 or V5–V7 regions coupled with Illumina sequencing for bacterial communities associated with ryegrass shoot. Then the selected primer was used to amplify bacterial communities in soil and rhizosphere samples for comparison with the commonly used 338F/806R. Finally, core operational taxonomic units (OTUs) across soil and plant niches were identified.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Primer pair 799F/1193R amplified the lowest number of plant organelle sequences (&lt;0.2% of total sequences) and consistently showed the highest α-diversity compared with 338F/806R and 335F/769R. For soil and rhizosphere samples, 799F/1193R also demonstrated significantly higher α-diversity indices compared with 338F/806R. The bacterial phyla commonly detected by both primer pairs comprised &gt;97% of the total relative abundance in soil and rhizosphere samples. In addition, the differences in bacterial communities of the soil and rhizosphere samples were more evident when using 799F/1193R than 338F/806R. Using the 799F/1193R data set, 50 core bacterial OTUs were identified across soil, rhizosphere and shoot niches, whereas only 38 core OTUs were identified when using 338F/806R. Most of these core OTUs were dominant in either shoot or soil niche.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Primer pair 799F/1193R is suitable for bacterial community studies targeting ryegrass plant and soil microbiota, in particular for cross-niches studies.</p>\n </section>\n </div>","PeriodicalId":100834,"journal":{"name":"Journal of Sustainable Agriculture and Environment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sae2.12075","citationCount":"0","resultStr":"{\"title\":\"Evaluation of 16S rRNA gene primer pairs for bacterial community profiling in an across soil and ryegrass plant study\",\"authors\":\"Shengjing Shi,&nbsp;Sandeep Kumar,&nbsp;Sandra Young,&nbsp;Paul Maclean,&nbsp;Ruy Jauregui\",\"doi\":\"10.1002/sae2.12075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Introduction</h3>\\n \\n <p>As microbes play important roles in many hosts and niches, linking microbiota across niches is becoming an important area of research. Studying microbiota across multiple niches would allow understanding of ecosystem-level interactions and potential points of better manipulation for agriculture gains. However, a suitable methodology to characterize microbiota from vast different niches is currently lacking. We used the plant shoot and soil as two important niches for this case study.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials and Methods</h3>\\n \\n <p>Considering the important linkage plant play in connecting above- and below-ground ecosystems and challenges of working with plant microbiota, we first compared three commonly used 16S ribosomal RNA gene primer pairs targeting V3–V4 or V5–V7 regions coupled with Illumina sequencing for bacterial communities associated with ryegrass shoot. Then the selected primer was used to amplify bacterial communities in soil and rhizosphere samples for comparison with the commonly used 338F/806R. Finally, core operational taxonomic units (OTUs) across soil and plant niches were identified.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Primer pair 799F/1193R amplified the lowest number of plant organelle sequences (&lt;0.2% of total sequences) and consistently showed the highest α-diversity compared with 338F/806R and 335F/769R. For soil and rhizosphere samples, 799F/1193R also demonstrated significantly higher α-diversity indices compared with 338F/806R. The bacterial phyla commonly detected by both primer pairs comprised &gt;97% of the total relative abundance in soil and rhizosphere samples. In addition, the differences in bacterial communities of the soil and rhizosphere samples were more evident when using 799F/1193R than 338F/806R. Using the 799F/1193R data set, 50 core bacterial OTUs were identified across soil, rhizosphere and shoot niches, whereas only 38 core OTUs were identified when using 338F/806R. Most of these core OTUs were dominant in either shoot or soil niche.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Primer pair 799F/1193R is suitable for bacterial community studies targeting ryegrass plant and soil microbiota, in particular for cross-niches studies.</p>\\n </section>\\n </div>\",\"PeriodicalId\":100834,\"journal\":{\"name\":\"Journal of Sustainable Agriculture and Environment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sae2.12075\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sustainable Agriculture and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/sae2.12075\",\"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 Sustainable Agriculture and Environment","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/sae2.12075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

引言 由于微生物在许多宿主和生态位中发挥着重要作用,跨生态位的微生物区系联系正成为一个重要的研究领域。研究多个生态位中的微生物区系将有助于了解生态系统层面的相互作用,以及更好地操纵微生物区系以提高农业效益的潜在点。然而,目前还缺乏一种合适的方法来表征来自大量不同生态位的微生物群。我们将植物嫩枝和土壤作为本案例研究的两个重要壁龛。 材料与方法 考虑到植物在连接地上和地下生态系统中的重要作用,以及植物微生物区系研究的挑战,我们首先比较了三种常用的 16S 核糖体 RNA 基因引物对,分别针对 V3-V4 或 V5-V7 区域,并结合 Illumina 测序技术,研究与黑麦草嫩枝相关的细菌群落。然后用选定的引物扩增土壤和根圈样本中的细菌群落,与常用的 338F/806R 进行比较。最后,确定了土壤和植物壁龛中的核心操作分类单元(OTUs)。 结果 799F/1193R 引物对扩增出的植物细胞器序列数量最少(占总序列的 0.2%),与 338F/806R 和 335F/769R 相比,799F/1193R 始终显示出最高的 α 多样性。在土壤和根圈样本中,799F/1193R 的 α-多样性指数也明显高于 338F/806R。两种引物对共同检测到的细菌门类占土壤和根圈样本相对丰度总量的 97%。此外,与 338F/806R 相比,799F/1193R 在土壤和根圈样本中的细菌群落差异更为明显。使用 799F/1193R 数据集时,土壤、根瘤菌圈和嫩枝壁龛共鉴定出 50 个核心细菌 OTU,而使用 338F/806R 时仅鉴定出 38 个核心 OTU。这些核心 OTU 大多在嫩枝或土壤中占优势。 结论 799F/1193R 引物对适用于针对黑麦草植物和土壤微生物群落的细菌群落研究,尤其适用于跨生态位研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of 16S rRNA gene primer pairs for bacterial community profiling in an across soil and ryegrass plant study

Evaluation of 16S rRNA gene primer pairs for bacterial community profiling in an across soil and ryegrass plant study

Introduction

As microbes play important roles in many hosts and niches, linking microbiota across niches is becoming an important area of research. Studying microbiota across multiple niches would allow understanding of ecosystem-level interactions and potential points of better manipulation for agriculture gains. However, a suitable methodology to characterize microbiota from vast different niches is currently lacking. We used the plant shoot and soil as two important niches for this case study.

Materials and Methods

Considering the important linkage plant play in connecting above- and below-ground ecosystems and challenges of working with plant microbiota, we first compared three commonly used 16S ribosomal RNA gene primer pairs targeting V3–V4 or V5–V7 regions coupled with Illumina sequencing for bacterial communities associated with ryegrass shoot. Then the selected primer was used to amplify bacterial communities in soil and rhizosphere samples for comparison with the commonly used 338F/806R. Finally, core operational taxonomic units (OTUs) across soil and plant niches were identified.

Results

Primer pair 799F/1193R amplified the lowest number of plant organelle sequences (<0.2% of total sequences) and consistently showed the highest α-diversity compared with 338F/806R and 335F/769R. For soil and rhizosphere samples, 799F/1193R also demonstrated significantly higher α-diversity indices compared with 338F/806R. The bacterial phyla commonly detected by both primer pairs comprised >97% of the total relative abundance in soil and rhizosphere samples. In addition, the differences in bacterial communities of the soil and rhizosphere samples were more evident when using 799F/1193R than 338F/806R. Using the 799F/1193R data set, 50 core bacterial OTUs were identified across soil, rhizosphere and shoot niches, whereas only 38 core OTUs were identified when using 338F/806R. Most of these core OTUs were dominant in either shoot or soil niche.

Conclusion

Primer pair 799F/1193R is suitable for bacterial community studies targeting ryegrass plant and soil microbiota, in particular for cross-niches studies.

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
CiteScore
2.60
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