亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Contemporary issues, current best practice and ways forward in soil protist ecology

原生生物 生物 生态学 确认 微生物生态学 生物多样性 海洋生态系统 分类单元 生态系统 计算机科学 生物化学 遗传学 计算机安全 基因 细菌
作者
Stefan Geisen,Enrique Lara,Edward A. D. Mitchell
出处
期刊:Molecular Ecology Resources [Wiley]
卷期号:23 (7): 1477-1487 被引量:2
标识
DOI:10.1111/1755-0998.13819
摘要

Soil protists are increasingly studied due to a release from previous methodological constraints and the acknowledgement of their immense diversity and functional importance in ecosystems. However, these studies often lack sufficient depth in knowledge, which is visible in the form of falsely used terms and false- or over-interpreted data with conclusions that cannot be drawn from the data obtained. As we welcome that also non-experts include protists in their still mostly bacterial and/or fungal-focused studies, our aim here is to help avoid some common errors. We provide suggestions for current terms to use when working on soil protists, like protist instead of protozoa, predator instead of grazer, microorganisms rather than microflora and other terms to be used to describe the prey spectrum of protists. We then highlight some dos and don'ts in soil protist ecology including challenges related to interpreting 18S rRNA gene amplicon sequencing data. We caution against the use of standard bioinformatic settings optimized for bacteria and the uncritical reliance on incomplete and partly erroneous reference databases. We also show why causal inferences cannot be drawn from sequence-based correlation analyses or any sampling/monitoring, study in the field without thorough experimental confirmation and sound understanding of the biology of taxa. Together, we envision this work to help non-experts to more easily include protists in their soil ecology analyses and obtain more reliable interpretations from their protist data and other biodiversity data that, in the end, will contribute to a better understanding of soil ecology.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
tszjw168完成签到 ,获得积分10
6秒前
25秒前
28秒前
45秒前
陶醉的烤鸡完成签到 ,获得积分10
1分钟前
2分钟前
2分钟前
wohohoho发布了新的文献求助30
2分钟前
栗子完成签到,获得积分10
3分钟前
zxcsdfa应助科研通管家采纳,获得30
3分钟前
3分钟前
机智浩发布了新的文献求助10
3分钟前
4分钟前
赘婿应助机智浩采纳,获得10
4分钟前
小柯基学从零学起完成签到 ,获得积分10
5分钟前
cc应助科研通管家采纳,获得10
5分钟前
6分钟前
7分钟前
科研小白发布了新的文献求助10
7分钟前
CodeCraft应助科研小白采纳,获得10
7分钟前
wohohoho完成签到,获得积分10
7分钟前
occol完成签到,获得积分10
8分钟前
雾蓝完成签到,获得积分10
8分钟前
pluto应助陈老板采纳,获得10
9分钟前
专注半烟完成签到 ,获得积分10
9分钟前
赘婿应助科研通管家采纳,获得10
9分钟前
科研通AI2S应助科研通管家采纳,获得10
9分钟前
9分钟前
JamesPei应助yoyo采纳,获得10
9分钟前
9分钟前
CipherSage应助heysiri采纳,获得10
10分钟前
10分钟前
简单的安珊完成签到,获得积分10
10分钟前
10分钟前
10分钟前
10分钟前
10分钟前
yoyo发布了新的文献求助10
10分钟前
10分钟前
11分钟前
高分求助中
Genetics: From Genes to Genomes 3000
Production Logging: Theoretical and Interpretive Elements 2500
Continuum thermodynamics and material modelling 2000
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Diabetes: miniguías Asklepios 800
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3471419
求助须知:如何正确求助?哪些是违规求助? 3064487
关于积分的说明 9088196
捐赠科研通 2755124
什么是DOI,文献DOI怎么找? 1511803
邀请新用户注册赠送积分活动 698575
科研通“疑难数据库(出版商)”最低求助积分说明 698473