DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Analysis of soil eDNA functional genes: potential to increase profitability and sustainability of pastoral agriculture

Abstract

Management of soil biological resources to optimise plant production, efficiency of nutrient inputs, and system sustainability is an emerging opportunity for pastoral agriculture. To attain these goals, suitable tools that can assess the functional state of the soil ecosystem must be developed and standardised approaches to their application adopted. Towards this end, we have undertaken comprehensive, high-density functional-gene microarray analysis (GeoChip5) of environmental DNA (eDNA) extracted from 50 pastoral soils. When combined with soil, environmental and management metadata, the information can be used to provide insights into soil biological processes spanning greenhouse gas emissions, through to natural suppression of plant root diseases. To give an example of a structured workflow of analysis in a pastoral system context, we analysed the GeoChip data using a combination of approaches spanning routine univariate methods through to more complex multivariate and network-based analysis. Analyses were restricted to comparing effects of land-use (dairy or ‘other’ farming systems), and exploring relationships of the GeoChip data with the soil properties from each sample. These exemplar analyses introduce a pathway for the application of eDNA approaches (GeoChip or others) to deliver outcomes for pastoral agricultural in New Zealand.

Authors:
 [1];  [1];  [2];  [1];  [3];  [4];  [5];  [6];  [1]
  1. AgResearch Ltd, Christchurch (New Zealand)
  2. AgResearch Ltd, Christchurch (New Zealand); Lincoln Univ., Canterbury (New Zealand)
  3. AgResearch Ltd, Christchurch (New Zealand); Univ. of Thessaly, Larisa (Greece)
  4. Lincoln Univ., Canterbury (New Zealand)
  5. Univ. of Oklahoma, Norman, OK (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tsinghua Univ., Beijing (China)
  6. Univ. of Oklahoma, Norman, OK (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567065
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
New Zealand Journal of Agricultural Research (New Zealand)
Additional Journal Information:
Journal Name: New Zealand Journal of Agricultural Research (New Zealand); Journal Volume: 59; Journal Issue: 4; Journal ID: ISSN 0028-8233
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; Data analysis; eDNA; environmental genomics; GeoChip; soil ecosystem function

Citation Formats

Wakelin, Steve A, Cave, VM, Dignam, BE, D’Ath, C., Tourna, M., Condron, LM, Zhou, J., Van Nostrand, JD, and O’Callaghan, M. Analysis of soil eDNA functional genes: potential to increase profitability and sustainability of pastoral agriculture. United States: N. p., 2016. Web. doi:10.1080/00288233.2016.1209529.
Wakelin, Steve A, Cave, VM, Dignam, BE, D’Ath, C., Tourna, M., Condron, LM, Zhou, J., Van Nostrand, JD, & O’Callaghan, M. Analysis of soil eDNA functional genes: potential to increase profitability and sustainability of pastoral agriculture. United States. https://doi.org/10.1080/00288233.2016.1209529
Wakelin, Steve A, Cave, VM, Dignam, BE, D’Ath, C., Tourna, M., Condron, LM, Zhou, J., Van Nostrand, JD, and O’Callaghan, M. Mon . "Analysis of soil eDNA functional genes: potential to increase profitability and sustainability of pastoral agriculture". United States. https://doi.org/10.1080/00288233.2016.1209529. https://www.osti.gov/servlets/purl/1567065.
@article{osti_1567065,
title = {Analysis of soil eDNA functional genes: potential to increase profitability and sustainability of pastoral agriculture},
author = {Wakelin, Steve A and Cave, VM and Dignam, BE and D’Ath, C. and Tourna, M. and Condron, LM and Zhou, J. and Van Nostrand, JD and O’Callaghan, M.},
abstractNote = {Management of soil biological resources to optimise plant production, efficiency of nutrient inputs, and system sustainability is an emerging opportunity for pastoral agriculture. To attain these goals, suitable tools that can assess the functional state of the soil ecosystem must be developed and standardised approaches to their application adopted. Towards this end, we have undertaken comprehensive, high-density functional-gene microarray analysis (GeoChip5) of environmental DNA (eDNA) extracted from 50 pastoral soils. When combined with soil, environmental and management metadata, the information can be used to provide insights into soil biological processes spanning greenhouse gas emissions, through to natural suppression of plant root diseases. To give an example of a structured workflow of analysis in a pastoral system context, we analysed the GeoChip data using a combination of approaches spanning routine univariate methods through to more complex multivariate and network-based analysis. Analyses were restricted to comparing effects of land-use (dairy or ‘other’ farming systems), and exploring relationships of the GeoChip data with the soil properties from each sample. These exemplar analyses introduce a pathway for the application of eDNA approaches (GeoChip or others) to deliver outcomes for pastoral agricultural in New Zealand.},
doi = {10.1080/00288233.2016.1209529},
journal = {New Zealand Journal of Agricultural Research (New Zealand)},
number = 4,
volume = 59,
place = {United States},
year = {Mon Jul 25 00:00:00 EDT 2016},
month = {Mon Jul 25 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 9 works
Citation information provided by
Web of Science

Figures / Tables:

Figure 1 Figure 1: Pipeline of analysis of environmental genomics for applied pastoral productive and environmental outcomes. Collection of soil for environmental genomics can (and should) be made alongside analysis of other soil properties (pH, C, N, P, S, etc). Standard field sampling (corer with numerous subsamples across the field) and homogenisationmore » of the soil sample allows for representative ‘DNA’ to be extracted. Extraction of eDNA from soils is now routine, with commercially available kits and service providers. Analysis of eDNA can be conducted using a range of different methods, most of which are accessible through service providers. Routine analysis, such as qPCR, can be conducted by most biologically focused research institutes. The approach for data will be highly dependent on the intended use for the researcher or farmer. For example, understanding how farm management pathways result in emergence of soil-borne disease suppression; this will require highly complex analysis based on ecosystem reconstruction. Many farmers, however, maybe interested in detection of key genes of interest for their farming system; e.g. are there sufficient rhizobia in the soil to enable clover nodulation, or what is the disease and pathogen load of a soil before pasture renovation (allowing for targeted pesticide use)? These analyses, therefore, enable ‘informed decision making’ that takes into consideration soil biological resources. The use of this approach builds, over time, an understanding of the normal operating range of farming systems, identifies new opportunities to alter the trajectory of emergence of functions, and provides a basis to benchmark performance and ideally build genetic gain.« less

Save / Share:

Works referenced in this record:

Comparison of breeding objectives across countries with application to sheep indexes in New Zealand and Ireland
journal, March 2015

  • Santos, B. F. S.; McHugh, N.; Byrne, T. J.
  • Journal of Animal Breeding and Genetics, Vol. 132, Issue 2
  • DOI: 10.1111/jbg.12146

Non-parametric multivariate analyses of changes in community structure
journal, March 1993


Biodiversity and biocontrol: emergent impacts of a multi-enemy assemblage on pest suppression and crop yield in an agroecosystem
journal, September 2003


Molecular ecological network analyses
journal, January 2012


Breaking through the feed barrier: options for improving forage genetics
journal, January 2015

  • Barrett, B. A.; Faville, M. J.; Nichols, S. N.
  • Animal Production Science, Vol. 55, Issue 7
  • DOI: 10.1071/AN14833

The Potential of Metagenomic Approaches for Understanding Soil Microbial Processes
journal, January 2014

  • Myrold, David D.; Zeglin, Lydia H.; Jansson, Janet K.
  • Soil Science Society of America Journal, Vol. 78, Issue 1
  • DOI: 10.2136/sssaj2013.07.0287dgs

Different Arbuscular Mycorrhizal Fungal Species are Potential Determinants of Plant Community Structure
journal, September 1998


Environmental microarray analyses of Antarctic soil microbial communities
journal, November 2008

  • Yergeau, Etienne; Schoondermark-Stolk, Sung A.; Brodie, Eoin L.
  • The ISME Journal, Vol. 3, Issue 3
  • DOI: 10.1038/ismej.2008.111

Long-term organic and inorganic fertilization alters temperature sensitivity of potential N2O emissions and associated microbes
journal, February 2016


What is microbial community ecology?
journal, August 2009


GeoChip: a comprehensive microarray for investigating biogeochemical, ecological and environmental processes
journal, May 2007

  • He, Zhili; Gentry, Terry J.; Schadt, Christopher W.
  • The ISME Journal, Vol. 1, Issue 1
  • DOI: 10.1038/ismej.2007.2

Estimating prokaryotic diversity and its limits
journal, July 2002

  • Curtis, T. P.; Sloan, W. T.; Scannell, J. W.
  • Proceedings of the National Academy of Sciences, Vol. 99, Issue 16, p. 10494-10499
  • DOI: 10.1073/pnas.142680199

Emerging infectious diseases of plants: pathogen pollution, climate change and agrotechnology drivers
journal, October 2004

  • Anderson, Pamela K.; Cunningham, Andrew A.; Patel, Nikkita G.
  • Trends in Ecology & Evolution, Vol. 19, Issue 10
  • DOI: 10.1016/j.tree.2004.07.021

Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
journal, November 2003


Back to the Future of Soil Metagenomics
journal, February 2016


Exploring interactions by second-stage community analyses
journal, November 2006

  • Clarke, K. Robert; Somerfield, Paul J.; Airoldi, Laura
  • Journal of Experimental Marine Biology and Ecology, Vol. 338, Issue 2
  • DOI: 10.1016/j.jembe.2006.06.019

Metagenomics - a guide from sampling to data analysis
journal, February 2012

  • Thomas, Torsten; Gilbert, Jack; Meyer, Folker
  • Microbial Informatics and Experimentation, Vol. 2, Issue 1
  • DOI: 10.1186/2042-5783-2-3

Soil biodiversity and carbon cycling: a review and synthesis of studies examining diversity-function relationships
journal, November 2010


Linking species richness, biodiversity and ecosystem function in soil systems
journal, November 2005


Testing of null hypotheses in exploratory community analyses: similarity profiles and biota-environment linkage
journal, November 2008

  • Clarke, K. Robert; Somerfield, Paul J.; Gorley, Raymond N.
  • Journal of Experimental Marine Biology and Ecology, Vol. 366, Issue 1-2
  • DOI: 10.1016/j.jembe.2008.07.009

Impacts of the Three Gorges Dam on microbial structure and potential function
journal, February 2015

  • Yan, Qingyun; Bi, Yonghong; Deng, Ye
  • Scientific Reports, Vol. 5, Issue 1
  • DOI: 10.1038/srep08605

Management-practices and soil biota
journal, January 1995


Prokaryotic Diversity--Magnitude, Dynamics, and Controlling Factors
journal, May 2002


Quantifying structural redundancy in ecological communities
journal, January 1998


Physicochemical properties of 50 New Zealand pasture soils: a starting point for assessing and managing soil microbial resources
journal, August 2013

  • Wakelin, Sa; van Koten, C.; O'Callaghan, M.
  • New Zealand Journal of Agricultural Research, Vol. 56, Issue 4
  • DOI: 10.1080/00288233.2013.822003

Microarray-Based Analysis of Subnanogram Quantities of Microbial Community DNAs by Using Whole-Community Genome Amplification
journal, July 2006

  • Wu, L.; Liu, X.; Schadt, C. W.
  • Applied and Environmental Microbiology, Vol. 72, Issue 7
  • DOI: 10.1128/AEM.02738-05

Land use change alters functional gene diversity, composition and abundance in Amazon forest soil microbial communities
journal, June 2014

  • Paula, Fabiana S.; Rodrigues, Jorge L. M.; Zhou, Jizhong
  • Molecular Ecology, Vol. 23, Issue 12
  • DOI: 10.1111/mec.12786

Global inputs of biological nitrogen fixation in agricultural systems
journal, July 2008


Copper control of bacterial nitrous oxide emission and its impact on vitamin B12-dependent metabolism
journal, November 2013

  • Sullivan, M. J.; Gates, A. J.; Appia-Ayme, C.
  • Proceedings of the National Academy of Sciences, Vol. 110, Issue 49
  • DOI: 10.1073/pnas.1314529110

Linking Species Richness, Biodiversity and Ecosystem Function in Soil Systems
journal, January 2007


Microbial diversity
journal, January 1992


Microbial Diversity
book, January 2009


Works referencing / citing this record:

A review on the applications and recent advances in environmental DNA (eDNA) metagenomics
journal, July 2019

  • Garlapati, Deviram; Charankumar, B.; Ramu, K.
  • Reviews in Environmental Science and Bio/Technology, Vol. 18, Issue 3
  • DOI: 10.1007/s11157-019-09501-4

Soil biodiversity and biogeochemical function in managed ecosystems
journal, January 2020

  • Chen, X. D.; Dunfield, K. E.; Fraser, T. D.
  • Soil Research, Vol. 58, Issue 1
  • DOI: 10.1071/sr19067

Managing soil microbiology: realising opportunities for the productive land-based sectors
journal, February 2018


Applications of the Soil, Plant and Rumen Microbiomes in Pastoral Agriculture
journal, July 2019

  • Attwood, Graeme T.; Wakelin, Steve A.; Leahy, Sinead C.
  • Frontiers in Nutrition, Vol. 6
  • DOI: 10.3389/fnut.2019.00107

Applications of the Soil, Plant and Rumen Microbiomes in Pastoral Agriculture
journal, July 2019

  • Attwood, Graeme T.; Wakelin, Steve A.; Leahy, Sinead C.
  • Frontiers in Nutrition, Vol. 6
  • DOI: 10.3389/fnut.2019.00107

Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.