已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Toward a common set of functional traits for soil protists

特质 生物 生物多样性 生态学 原生生物 生态系统 分类单元 计算机科学 生物化学 基因 程序设计语言
作者
Simone Giachello,Isabel Cantera,Alexis Carteron,Silvio Marta,Cristina Cipriano,Alessia Guerrieri,Aurélie Bonin,Wilfried Thuiller,Gentile Francesco Ficetola
出处
期刊:Soil Biology & Biochemistry [Elsevier BV]
卷期号:187: 109207-109207 被引量:7
标识
DOI:10.1016/j.soilbio.2023.109207
摘要

Protists are major actors of soil communities and play key roles in shaping food webs, community assembly, and ecosystem processes, yet their functional diversity is understudied. High-throughput sequencing data have revealed their ubiquity and diversity, but lack of standardized traits has hampered the integration of functional information, limiting our understanding of soil ecosystems. Here we propose a functional framework for soil protists, identify a set of common traits to characterize their functional diversity, and apply the framework on a broad-scale, real-world dataset. We reviewed studies on soil protists to identify the traits used in the literature, and define a framework based on 10 key traits that satisfy two criteria: availability of information, and applicability to most taxa. The framework was tested on a dataset of environmental DNA metabarcoding data from 1123 soil samples collected in 48 glacier forelands worldwide. Traits were assigned to the 570 Molecular Operational Taxonomic Units (MOTUs) detected in our dataset, leading to the production of a global trait-based dataset from glacier forelands. We estimated the functional space of protist communities and evaluated if the selected traits were effective in describing protist diversity. The functional space of protist communities showed that the MOTUs are clustered in three regions, mainly reflecting different nutritional and habitat preferences. The proposed framework is appropriate for multiple applications, including estimation of functional diversity and food web analyses, and provides a basis for ecological studies on soil protists, enabling the functional characterization of this essential but often neglected component of soil biodiversity.

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
默渡发布了新的文献求助10
1秒前
樱桃汽水怪兽完成签到,获得积分10
2秒前
zy发布了新的文献求助10
2秒前
MoeBella完成签到,获得积分10
10秒前
QY192769完成签到 ,获得积分10
10秒前
小蘑菇应助紫色奶萨采纳,获得10
11秒前
CipherSage应助nan采纳,获得10
14秒前
qinlin完成签到,获得积分20
16秒前
18秒前
18秒前
天天快乐应助碧蓝尔蓝采纳,获得10
18秒前
脑洞疼应助大杯冰美式采纳,获得10
26秒前
27秒前
今后应助科研通管家采纳,获得10
28秒前
28秒前
28秒前
xtlx发布了新的文献求助10
28秒前
Ava应助科研通管家采纳,获得10
28秒前
28秒前
28秒前
香蕉觅云应助科研通管家采纳,获得10
28秒前
我是老大应助科研通管家采纳,获得10
28秒前
28秒前
29秒前
华仔应助科研通管家采纳,获得10
29秒前
完美世界应助科研通管家采纳,获得10
29秒前
orixero应助科研通管家采纳,获得10
29秒前
29秒前
深情安青应助徐华采纳,获得10
31秒前
33秒前
默渡完成签到,获得积分10
33秒前
weilanhaian完成签到,获得积分10
34秒前
nan发布了新的文献求助10
34秒前
昭仪完成签到 ,获得积分10
34秒前
SUN发布了新的文献求助10
35秒前
moshang发布了新的文献求助10
36秒前
qinlin发布了新的文献求助30
36秒前
38秒前
情怀应助侠侠大王采纳,获得10
39秒前
紫色奶萨发布了新的文献求助10
40秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
Diagnostic Performance of Preoperative Imaging-based Radiomics Models for Predicting Liver Metastases in Colorectal Cancer: A Systematic Review and Meta-analysis 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6347984
求助须知:如何正确求助?哪些是违规求助? 8162852
关于积分的说明 17172023
捐赠科研通 5404292
什么是DOI,文献DOI怎么找? 2861702
邀请新用户注册赠送积分活动 1839457
关于科研通互助平台的介绍 1688778