Landscape-scale distribution patterns of earthworms inferred from soil DNA

被引：27

作者：

Pansu, Johan ^{[1
,2
]}

De Danieli, Sebastien ^{[3
,4
]}

Puissant, Jeremy ^{[3
,4
]}

Gonzalez, Jean-Maxime ^{[3
,4
]}

Gielly, Ludovic ^{[1
,2
]}

Cordonnier, Thomas ^{[3
,4
]}

Zinger, Lucie

Brun, Jean-Jacques ^{[3
,4
,5
]}

Choler, Philippe ^{[1
,2
,6
]}

Taberlet, Pierre ^{[1
,2
]}

Cecillon, Lauric ^{[3
,4
]}

机构：

[1] Univ Grenoble Alpes, LECA, F-38000 Grenoble, France

[2] CNRS, LECA, F-38000 Grenoble, France

[3] Irstea, UR EMGR Ecosyst Montagnards, F-38402 St Martin Dheres, France

[4] Univ Grenoble Alpes, F-38402 Grenoble, France

[5] CNRS, UPS 5174, UMR, Lab Evolut & Divers Biol, Toulouse, France

[6] Univ Grenoble Alpes, SAJF, F-38000 Grenoble, France

来源：

SOIL BIOLOGY & BIOCHEMISTRY | 2015年 / 83卷

关键词：

Environmental DNA; Landscape; Land-use; Metabarcoding; Soil biodiversity; Spatial distribution; COMMUNITIES; IDENTIFICATION; BIODIVERSITY; GRASSLAND; PRODUCTS; FOREST;

D O I：

10.1016/j.soilbio.2015.01.004

中图分类号：

S15 [土壤学];

学科分类号：

0903 ; 090301 ;

摘要：

Assessing land-use effect on the diversity of soil biota has long been hampered by difficulties in collecting and identifying soil organisms over large areas. Recently, environmental DNA-based approaches coupled with next-generation sequencing were developed to study soil biodiversity. Here, we optimized a protocol based on soil DNA to examine the effects of land-use on earthworm communities in a mountain landscape. This approach allowed an efficient detection of earthworm diversity and highlighted a significant land-use effect on the distribution patterns of earthworms that was not revealed by a classical survey. Our results show that the soil DNA-based earthworm survey at the landscape-scale improves over previous approaches, and opens a way towards large-scale assessment of soil biodiversity and its drivers. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：100 / 105

页数：6

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