通过 eDNA 技术探索河流水生动物多样性,建立适合秦岭地区的水生生态监测方法。

IF 3.5 1区 生物学 Q1 ZOOLOGY
Biao Wang, Yuqi Wang, Ni He, Mingxing DU, Ping You
{"title":"通过 eDNA 技术探索河流水生动物多样性,建立适合秦岭地区的水生生态监测方法。","authors":"Biao Wang, Yuqi Wang, Ni He, Mingxing DU, Ping You","doi":"10.1111/1749-4877.12916","DOIUrl":null,"url":null,"abstract":"<p><p>This study thoroughly examines biodiversity and aquatic ecosystems across 14 sampled sites within the Shitou River basin by utilizing environmental DNA technology. Through integrated analysis and high-throughput sequencing, the study elucidates a diverse array of biodiversity, encompassing 27 fish species and 341 freshwater benthic macroinvertebrates (FBM) species. Using various biodiversity indices, we found significant differences in diversity and stability across different environments. Regions with more complex habitats had higher species richness and evenness. Further analyses showed complex relationships between diversity metrics for FBM and fish, indicating potential interactions between these groups. The standardized mean score (SMS) was developed to aid in the assessment of water quality. Specifically, SMS scoring revealed that sites STH3, STH4, and STH14 excelled across multiple dimensions, earning an \"Excellent\" rating, while site STH12 was rated as \"Poor\" due to subpar performance across several metrics. This project not only enhances current understanding regarding aquatic ecological dynamics but also establishes a strong foundation for detailed environmental evaluation and monitoring, aligned with the priorities of contemporary ecological management and caution.</p>","PeriodicalId":13654,"journal":{"name":"Integrative zoology","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring riverine aquatic animal diversity and establishing aquatic ecological monitoring approaches tailored to the Qinling region via eDNA technology.\",\"authors\":\"Biao Wang, Yuqi Wang, Ni He, Mingxing DU, Ping You\",\"doi\":\"10.1111/1749-4877.12916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study thoroughly examines biodiversity and aquatic ecosystems across 14 sampled sites within the Shitou River basin by utilizing environmental DNA technology. Through integrated analysis and high-throughput sequencing, the study elucidates a diverse array of biodiversity, encompassing 27 fish species and 341 freshwater benthic macroinvertebrates (FBM) species. Using various biodiversity indices, we found significant differences in diversity and stability across different environments. Regions with more complex habitats had higher species richness and evenness. Further analyses showed complex relationships between diversity metrics for FBM and fish, indicating potential interactions between these groups. The standardized mean score (SMS) was developed to aid in the assessment of water quality. Specifically, SMS scoring revealed that sites STH3, STH4, and STH14 excelled across multiple dimensions, earning an \\\"Excellent\\\" rating, while site STH12 was rated as \\\"Poor\\\" due to subpar performance across several metrics. This project not only enhances current understanding regarding aquatic ecological dynamics but also establishes a strong foundation for detailed environmental evaluation and monitoring, aligned with the priorities of contemporary ecological management and caution.</p>\",\"PeriodicalId\":13654,\"journal\":{\"name\":\"Integrative zoology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Integrative zoology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1111/1749-4877.12916\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ZOOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrative zoology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/1749-4877.12916","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ZOOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本研究利用环境 DNA 技术对石头河流域 14 个采样点的生物多样性和水生生态系统进行了深入研究。通过综合分析和高通量测序,研究阐明了生物多样性的多样性,包括 27 种鱼类和 341 种淡水底栖大型无脊椎动物(FBM)。利用各种生物多样性指数,我们发现不同环境下的多样性和稳定性存在显著差异。生境更复杂的地区物种丰富度和均匀度更高。进一步的分析表明,FBM 和鱼类的多样性指标之间存在复杂的关系,这表明这些群体之间可能存在相互作用。标准化平均分(SMS)的开发有助于评估水质。具体而言,SMS 评分显示,STH3、STH4 和 STH14 站点在多个方面表现出色,获得了 "优 "的评级,而 STH12 站点由于在多个指标上表现不佳,被评为 "差"。该项目不仅增强了当前对水生生态动态的了解,还为详细的环境评估和监测奠定了坚实的基础,符合当代生态管理和警戒的优先事项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring riverine aquatic animal diversity and establishing aquatic ecological monitoring approaches tailored to the Qinling region via eDNA technology.

This study thoroughly examines biodiversity and aquatic ecosystems across 14 sampled sites within the Shitou River basin by utilizing environmental DNA technology. Through integrated analysis and high-throughput sequencing, the study elucidates a diverse array of biodiversity, encompassing 27 fish species and 341 freshwater benthic macroinvertebrates (FBM) species. Using various biodiversity indices, we found significant differences in diversity and stability across different environments. Regions with more complex habitats had higher species richness and evenness. Further analyses showed complex relationships between diversity metrics for FBM and fish, indicating potential interactions between these groups. The standardized mean score (SMS) was developed to aid in the assessment of water quality. Specifically, SMS scoring revealed that sites STH3, STH4, and STH14 excelled across multiple dimensions, earning an "Excellent" rating, while site STH12 was rated as "Poor" due to subpar performance across several metrics. This project not only enhances current understanding regarding aquatic ecological dynamics but also establishes a strong foundation for detailed environmental evaluation and monitoring, aligned with the priorities of contemporary ecological management and caution.

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
6.40
自引率
12.10%
发文量
81
审稿时长
>12 weeks
期刊介绍: The official journal of the International Society of Zoological Sciences focuses on zoology as an integrative discipline encompassing all aspects of animal life. It presents a broader perspective of many levels of zoological inquiry, both spatial and temporal, and encourages cooperation between zoology and other disciplines including, but not limited to, physics, computer science, social science, ethics, teaching, paleontology, molecular biology, physiology, behavior, ecology and the built environment. It also looks at the animal-human interaction through exploring animal-plant interactions, microbe/pathogen effects and global changes on the environment and human society. Integrative topics of greatest interest to INZ include: (1) Animals & climate change (2) Animals & pollution (3) Animals & infectious diseases (4) Animals & biological invasions (5) Animal-plant interactions (6) Zoogeography & paleontology (7) Neurons, genes & behavior (8) Molecular ecology & evolution (9) Physiological adaptations
×
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