纽约布朗克斯河河口18S rRNA扩增子序列数据(V1-V3)

Melissa R. Ingala, I. Werner, Allison M. Fitzgerald, Eugenia Naro‐Maciel
{"title":"纽约布朗克斯河河口18S rRNA扩增子序列数据(V1-V3)","authors":"Melissa R. Ingala, I. Werner, Allison M. Fitzgerald, Eugenia Naro‐Maciel","doi":"10.3897/mbmg.5.69691","DOIUrl":null,"url":null,"abstract":"Characterising and monitoring biological diversity to foster sustainable ecosystems is highly recommended as urban centres rapidly expand. However, much of New York City’s biodiversity remains undescribed, including in the historically degraded, but recovering Bronx River Estuary. In a pilot study to identify organisms and characterise biodiversity patterns there, 18S rRNA gene amplicons (V1–V3 region), obtained from river sediments and surface waters of Hunts Point Riverside and Soundview Parks, were sequenced. Across 48 environmental samples collected over three seasons in 2015 and 2016, following quality control and contaminant removal, 2,763 Amplicon Sequence Variants (ASVs) were identified from 1,918,463 sequences. Rarefaction analysis showed sufficient sampling depth, and community composition varied over time and by substrate at the study sites over the sampling period. Protists, plants, fungi and animals, including organisms of management concern, such as Eastern oysters (Crassostrea virginica), wildlife pathogens and groups related to Harmful Algal Blooms, were detected. The most common taxa identified in river sediments were annelid worms, nematodes and diatoms. In the water column, the most commonly observed organisms were diatoms, algae of the phylum Cryptophyceae, ciliates and dinoflagellates. The presented dataset demonstrates the reach of 18S rRNA metabarcoding for characterising biodiversity in an urban estuary.","PeriodicalId":18374,"journal":{"name":"Metabarcoding and Metagenomics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"18S rRNA amplicon sequence data (V1–V3) of the Bronx river estuary, New York\",\"authors\":\"Melissa R. Ingala, I. Werner, Allison M. Fitzgerald, Eugenia Naro‐Maciel\",\"doi\":\"10.3897/mbmg.5.69691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Characterising and monitoring biological diversity to foster sustainable ecosystems is highly recommended as urban centres rapidly expand. However, much of New York City’s biodiversity remains undescribed, including in the historically degraded, but recovering Bronx River Estuary. In a pilot study to identify organisms and characterise biodiversity patterns there, 18S rRNA gene amplicons (V1–V3 region), obtained from river sediments and surface waters of Hunts Point Riverside and Soundview Parks, were sequenced. Across 48 environmental samples collected over three seasons in 2015 and 2016, following quality control and contaminant removal, 2,763 Amplicon Sequence Variants (ASVs) were identified from 1,918,463 sequences. Rarefaction analysis showed sufficient sampling depth, and community composition varied over time and by substrate at the study sites over the sampling period. Protists, plants, fungi and animals, including organisms of management concern, such as Eastern oysters (Crassostrea virginica), wildlife pathogens and groups related to Harmful Algal Blooms, were detected. The most common taxa identified in river sediments were annelid worms, nematodes and diatoms. In the water column, the most commonly observed organisms were diatoms, algae of the phylum Cryptophyceae, ciliates and dinoflagellates. The presented dataset demonstrates the reach of 18S rRNA metabarcoding for characterising biodiversity in an urban estuary.\",\"PeriodicalId\":18374,\"journal\":{\"name\":\"Metabarcoding and Metagenomics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metabarcoding and Metagenomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3897/mbmg.5.69691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabarcoding and Metagenomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/mbmg.5.69691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

随着城市中心的迅速扩张,强烈建议描述和监测生物多样性,以培育可持续的生态系统。然而,纽约市的大部分生物多样性仍未被描述,包括历史上退化但正在恢复的布朗克斯河河口。在一项鉴定生物和描述生物多样性模式的初步研究中,从河流沉积物和亨特角河畔和声景公园的地表水中获得了18S rRNA基因扩增子(V1-V3区域),并对其进行了测序。在2015年和2016年三个季节收集的48个环境样本中,经过质量控制和污染物去除,从1,918,463个序列中鉴定出2,763个扩增子序列变体(asv)。稀疏分析表明采样深度充足,群落组成随时间和基质的变化而变化。检测到原生生物、植物、真菌和动物,包括管理关注的生物,如东方牡蛎(Crassostrea virginica)、野生动物病原体和与有害藻华有关的群体。河流沉积物中最常见的分类群是环节蠕虫、线虫和硅藻。在水体中,最常见的生物是硅藻、隐藻门藻类、纤毛虫和鞭毛藻。该数据集展示了18S rRNA元条形码用于表征城市河口生物多样性的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
18S rRNA amplicon sequence data (V1–V3) of the Bronx river estuary, New York
Characterising and monitoring biological diversity to foster sustainable ecosystems is highly recommended as urban centres rapidly expand. However, much of New York City’s biodiversity remains undescribed, including in the historically degraded, but recovering Bronx River Estuary. In a pilot study to identify organisms and characterise biodiversity patterns there, 18S rRNA gene amplicons (V1–V3 region), obtained from river sediments and surface waters of Hunts Point Riverside and Soundview Parks, were sequenced. Across 48 environmental samples collected over three seasons in 2015 and 2016, following quality control and contaminant removal, 2,763 Amplicon Sequence Variants (ASVs) were identified from 1,918,463 sequences. Rarefaction analysis showed sufficient sampling depth, and community composition varied over time and by substrate at the study sites over the sampling period. Protists, plants, fungi and animals, including organisms of management concern, such as Eastern oysters (Crassostrea virginica), wildlife pathogens and groups related to Harmful Algal Blooms, were detected. The most common taxa identified in river sediments were annelid worms, nematodes and diatoms. In the water column, the most commonly observed organisms were diatoms, algae of the phylum Cryptophyceae, ciliates and dinoflagellates. The presented dataset demonstrates the reach of 18S rRNA metabarcoding for characterising biodiversity in an urban estuary.
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
Metabarcoding and Metagenomics
Metabarcoding and Metagenomics Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
5.40
自引率
0.00%
发文量
25
×
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