Using metabarcoding to ask if easily collected soil and leaf-litter samples can be used as a general biodiversity indicator
•Metabarcoding removes the taxonomic impediment from large-scale arthropod samples.•However, sampling itself continues to be slow, costly, and vulnerable to contamination.•Metabarcoding recovers valid ecological information from soil and leaf litter.•Soil and leaf litter are easy to collect.•Metabar...
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Published in | Ecological indicators Vol. 46; pp. 379 - 389 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier Ltd
01.11.2014
Elsevier |
Subjects | |
Online Access | Get full text |
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Abstract | •Metabarcoding removes the taxonomic impediment from large-scale arthropod samples.•However, sampling itself continues to be slow, costly, and vulnerable to contamination.•Metabarcoding recovers valid ecological information from soil and leaf litter.•Soil and leaf litter are easy to collect.•Metabarcoded leaf-litter samples show great promise for biodiversity measurement.
The targeted sequencing of taxonomically informative genetic markers, sometimes known as metabarcoding, allows eukaryote biodiversity to be measured rapidly, cheaply, comprehensively, repeatedly, and verifiably. Metabarcoding helps to remove the taxonomic impediment, which refers to the great logistical difficulties of describing and identifying species, and thus promises to improve our ability to detect and respond to changes in the natural environment. Now, sampling has become a rate-limiting step in biodiversity measurement, and in an effort to reduce turnaround time, we use arthropod samples from southern China and Vietnam to ask whether soil, leaf litter, and aboveground samples provide similar ecological information. A soil or leaf-litter sample can be collected in minutes, whereas an aboveground sample, such as from Malaise traps or canopy fogging, can require days to set up and run, during which time they are subject to theft, damage, and deliberate contamination. Here we show that while the taxonomic compositions of soil and leaf-litter samples are very different from aboveground samples, both types of samples provide similar ecological information, in terms of ranking sites by species richness and differentiating sites by beta diversity. In fact, leaf-litter samples appear to be as or more powerful than Malaise-trap and canopy-fogging samples at detecting habitat differences. We propose that metabarcoded leaf-litter and soil samples be widely tested as a candidate method for rapid environmental monitoring in terrestrial ecosystems. |
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AbstractList | •Metabarcoding removes the taxonomic impediment from large-scale arthropod samples.•However, sampling itself continues to be slow, costly, and vulnerable to contamination.•Metabarcoding recovers valid ecological information from soil and leaf litter.•Soil and leaf litter are easy to collect.•Metabarcoded leaf-litter samples show great promise for biodiversity measurement.
The targeted sequencing of taxonomically informative genetic markers, sometimes known as metabarcoding, allows eukaryote biodiversity to be measured rapidly, cheaply, comprehensively, repeatedly, and verifiably. Metabarcoding helps to remove the taxonomic impediment, which refers to the great logistical difficulties of describing and identifying species, and thus promises to improve our ability to detect and respond to changes in the natural environment. Now, sampling has become a rate-limiting step in biodiversity measurement, and in an effort to reduce turnaround time, we use arthropod samples from southern China and Vietnam to ask whether soil, leaf litter, and aboveground samples provide similar ecological information. A soil or leaf-litter sample can be collected in minutes, whereas an aboveground sample, such as from Malaise traps or canopy fogging, can require days to set up and run, during which time they are subject to theft, damage, and deliberate contamination. Here we show that while the taxonomic compositions of soil and leaf-litter samples are very different from aboveground samples, both types of samples provide similar ecological information, in terms of ranking sites by species richness and differentiating sites by beta diversity. In fact, leaf-litter samples appear to be as or more powerful than Malaise-trap and canopy-fogging samples at detecting habitat differences. We propose that metabarcoded leaf-litter and soil samples be widely tested as a candidate method for rapid environmental monitoring in terrestrial ecosystems. The targeted sequencing of taxonomically informative genetic markers, sometimes known as metabarcoding, allows eukaryote biodiversity to be measured rapidly, cheaply, comprehensively, repeatedly, and verifiably. Metabarcoding helps to remove the taxonomic impediment, which refers to the great logistical difficulties of describing and identifying species, and thus promises to improve our ability to detect and respond to changes in the natural environment. Now, sampling has become a rate-limiting step in biodiversity measurement, and in an effort to reduce turnaround time, we use arthropod samples from southern China and Vietnam to ask whether soil, leaf litter, and aboveground samples provide similar ecological information. A soil or leaf-litter sample can be collected in minutes, whereas an aboveground sample, such as from Malaise traps or canopy fogging, can require days to set up and run, during which time they are subject to theft, damage, and deliberate contamination. Here we show that while the taxonomic compositions of soil and leaf-litter samples are very different from aboveground samples, both types of samples provide similar ecological information, in terms of ranking sites by species richness and differentiating sites by beta diversity. In fact, leaf-litter samples appear to be as or more powerful than Malaise-trap and canopy-fogging samples at detecting habitat differences. We propose that metabarcoded leaf-litter and soil samples be widely tested as a candidate method for rapid environmental monitoring in terrestrial ecosystems. |
Author | de Blécourt, Marleen Ji, Yinqiu Harrison, Rhett D. Yang, Chenxue Yang, Chunyan Yu, Douglas W. Miller, Jeremy A. Wang, Xiaoyang |
Author_xml | – sequence: 1 givenname: Chenxue surname: Yang fullname: Yang, Chenxue email: xu_anwomingren_happy@126.com organization: State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China – sequence: 2 givenname: Xiaoyang surname: Wang fullname: Wang, Xiaoyang email: wangxiaoy0126@hotmail.com organization: State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China – sequence: 3 givenname: Jeremy A. surname: Miller fullname: Miller, Jeremy A. email: jeremy.miller@naturalis.nl organization: Department of Terrestrial Zoology, Nationaal Natuurhistorisch Museum Naturalis, 2300 RA Leiden, The Netherlands – sequence: 4 givenname: Marleen surname: de Blécourt fullname: de Blécourt, Marleen email: marleendeblecourt@hotmail.com organization: Soil Science of Tropical and Subtropical Ecosystems, Büsgen Institute, Georg-August-Universität Göttingen, Büsgenweg 2, 37077 Göttingen, Germany – sequence: 5 givenname: Yinqiu surname: Ji fullname: Ji, Yinqiu email: jiyinqiu@hotmail.com organization: State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China – sequence: 6 givenname: Chunyan surname: Yang fullname: Yang, Chunyan email: yangyahan@mail.kiz.ac.cn organization: State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China – sequence: 7 givenname: Rhett D. surname: Harrison fullname: Harrison, Rhett D. email: r.harrison@cgiar.org organization: Key Laboratory for Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan 666303, China – sequence: 8 givenname: Douglas W. surname: Yu fullname: Yu, Douglas W. email: dougwyu@gmail.com organization: State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China |
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Keywords | Climate change Metabarcoding Soil fauna DNA barcoding Surveillance monitoring Leaf litter Tropical forest Systematic conservation planning Biodiversity Targeted monitoring Restoration ecology Litter Ecological indicator Dynamical climatology DNA Ecological recovery Environmental monitoring Environmental protection |
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Snippet | •Metabarcoding removes the taxonomic impediment from large-scale arthropod samples.•However, sampling itself continues to be slow, costly, and vulnerable to... The targeted sequencing of taxonomically informative genetic markers, sometimes known as metabarcoding, allows eukaryote biodiversity to be measured rapidly,... |
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SubjectTerms | Animal and plant ecology Animal, plant and microbial ecology Applied ecology Arthropoda arthropods Biodiversity Biological and medical sciences Biological diversity canopy China Climate change Climatology. Bioclimatology. Climate change Conservation, protection and management of environment and wildlife DNA barcoding Earth, ocean, space Ecology Environmental degradation: ecosystems survey and restoration environmental monitoring eukaryotic cells Exact sciences and technology External geophysics Forestry Fundamental and applied biological sciences. Psychology General aspects General forest ecology Generalities. Production, biomass. Quality of wood and forest products. General forest ecology genetic markers habitats Indicators Leaf litter Malaise traps Metabarcoding Meteorology plant litter rapid methods Restoration ecology Sampling Sequencing Soil (material) Soil fauna soil sampling species diversity Surveillance monitoring Synecology Systematic conservation planning Targeted monitoring terrestrial ecosystems Tropical forest Vietnam |
Title | Using metabarcoding to ask if easily collected soil and leaf-litter samples can be used as a general biodiversity indicator |
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