Evidence map›Paper›PMID 32534595›Full record

ArticleMicrobiome2020

Climate mediates continental scale patterns of stream microbial functional diversity.

Félix Picazo, Annika Vilmi, Juha Aalto, Janne Soininen, Emilio O Casamayor, Yongqin Liu, Qinglong Wu, Lijuan Ren, Jizhong Zhou, Ji Shen and 1 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Félix PicazoState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Annika VilmiState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Juha AaltoFinnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland.
Janne SoininenDepartment of Geosciences and Geography, University of Helsinki, 00014, Helsinki, Finland.
Emilio O CasamayorIntegrative Freshwater Ecology Group, Centre of Advanced Studies of Blanes-Spanish Council for Research CEAB-CSIC, E-17300, Blanes, Spain.
Yongqin LiuUniversity of Chinese Academy of Sciences, Beijing, 1000049, China.
Qinglong WuState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Lijuan RenDepartment of Ecology, Jinan University, Guangzhou, 510632, China.
Jizhong ZhouDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK, 73019, USA.
Ji ShenState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
Jianjun WangState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China. jjwang@niglas.ac.cn.ORCID 0000-0001-7039-7136

Funding

CAS Key Research Program of Frontier Sciences QYZDB-SSW-DQC043CAS Strategic Pilot Science and Technology XDA20050101Chinese Academy of Sciences President's International Fellowship Initiative 2018PS0007National Natural Science Foundation of China 41571058National Natural Science Foundation of China 41871048National Natural Science Foundation of China 91851117Program of Global Change and Mitigation 2017YFA0605200Spanish Office for Science-MINECO-ERDF BRIDGES CGL2015-69043-P
6 · The paper itself

Abstract

backgroundUnderstanding the large-scale patterns of microbial functional diversity is essential for anticipating climate change impacts on ecosystems worldwide. However, studies of functional biogeography remain scarce for microorganisms, especially in freshwater ecosystems. Here we study 15,289 functional genes of stream biofilm microbes along three elevational gradients in Norway, Spain and China.

resultsWe find that alpha diversity declines towards high elevations and assemblage composition shows increasing turnover with greater elevational distances. These elevational patterns are highly consistent across mountains, kingdoms and functional categories and exhibit the strongest trends in China due to its largest environmental gradients. Across mountains, functional gene assemblages differ in alpha diversity and composition between the mountains in Europe and Asia. Climate, such as mean temperature of the warmest quarter or mean precipitation of the coldest quarter, is the best predictor of alpha diversity and assemblage composition at both mountain and continental scales, with local non-climatic predictors gaining more importance at mountain scale. Under future climate, we project substantial variations in alpha diversity and assemblage composition across the Eurasian river network, primarily occurring in northern and central regions, respectively.

conclusionsWe conclude that climate controls microbial functional gene diversity in streams at large spatial scales; therefore, the underlying ecosystem processes are highly sensitive to climate variations, especially at high latitudes. This biogeographical framework for microbial functional diversity serves as a baseline to anticipate ecosystem responses and biogeochemical feedback to ongoing climate change. Video Abstract.

Indexed as

BiodiversityClimateChinaNorwayRiversSpainClimate changeElevational gradientsMacroecologyMicrobial functional genesStream biofilm

Identifiers

PMID32534595
PMCPMC7293791

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.