scholarly journals Improving the application of quantitative fatty acid signature analysis in soil food webs: The effects of diet fat content

2021 ◽  
Author(s):  
Jakob Kühn ◽  
Vanessa Henning ◽  
Liliane Ruess
Keyword(s):  
Fatty Acid ◽  
Food Webs ◽  
Fat Content ◽  
Signature Analysis ◽  
Fatty Acid Signature ◽  
Soil Food Webs

scholarly journals Shifting systems: prerequisites for the application of quantitative fatty acid signature analysis in soil food webs

2020 ◽  
Vol 375 (1804) ◽  
pp. 20190650 ◽  
Author(s):  
Jakob Kühn ◽  
Kevin Tobias ◽  
Alexander Jähngen ◽  
Liliane Ruess
Keyword(s):  
Fatty Acids ◽  
Fatty Acid ◽  
Polyunsaturated Fatty Acids ◽  
Food Webs ◽  
Food Chain ◽  
Dietary Fatty Acids ◽  
Signature Analysis ◽  
Fatty Acid Signature ◽  
Soil Food Webs ◽  
Soil Ecosystems

Quantitative fatty acid signature analysis (QFASA) is widely used to investigate trophic interactions in marine ecosystems, as nutritionally important ω 3 long-chain polyunsaturated fatty acids at the food web base allow tracing of their trophic transfer in the food chain. By contrast, the basal resources in soil food webs comprise a wider array of trophic markers, including branched-chain, cyclopropane as well as several mono- and polyunsaturated fatty acids. These diverse markers allow distinguishing between the three dominant soil carbon and energy channels, the root, bacterial and fungal pathway. QFASA has not been applied yet to soil ecosystems owing to the lack of a priori data to fit the model. The present work investigates the transfer of absolute and relative trophic marker fatty acids into Collembola as dominant representatives of the soil mesofauna. Three different species were fed on a variety of single diets characteristic for the green and brown food chain. Calibration coefficients were calculated and diet estimation trials for mixed diet set-ups were performed, using a library comprising 50 different resources. However, estimation of Collembola diet was only partially successful, identifying the main components, but not the correct relative proportions. Adjustments by fat content or diet group exclusion did not improve the results. Nonetheless, this work provides, to our knowledge, a first comprehensive dataset to translate the application of QFASA from marine to soil ecosystems. This article is part of the theme issue ‘The next horizons for lipids as ‘trophic biomarkers’: evidence and significance of consumer modification of dietary fatty acids’.

Exploring the sensitivity of quantitative fatty acid signature analysis to assumption violations (Supplementary Data)

DalSpace ◽  
2015 ◽  
Author(s):  
Jeffrey Bromaghin ◽  
Suzanne Budge ◽  
Gregory Thiemann ◽  
Karyn Rode
Keyword(s):  
Fatty Acid ◽  
Signature Analysis ◽  
Supplementary Data ◽  
Fatty Acid Signature ◽  
Assumption Violations

QUANTITATIVE FATTY ACID SIGNATURE ANALYSIS: A NEW METHOD OF ESTIMATING PREDATOR DIETS

2004 ◽  
Vol 74 (2) ◽  
pp. 211-235 ◽  
Author(s):  
Sara J. Iverson ◽  
Chris Field ◽  
W. Don Bowen ◽  
Wade Blanchard
Keyword(s):  
Fatty Acid ◽  
New Method ◽  
Signature Analysis ◽  
Fatty Acid Signature

First evaluation of quantitative fatty acid signature analysis (QFASA) in dolphins

2021 ◽  
pp. 102141
Author(s):  
Quan Xie ◽  
Xi Ning ◽  
Xiaoxiao He ◽  
Lixia Deng ◽  
Zhenger Wu ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Signature Analysis ◽  
Fatty Acid Signature

scholarly journals Review of Estimating Trophic Relationships by Quantitative Fatty Acid Signature Analysis

2020 ◽  
Vol 8 (12) ◽  
pp. 1030
Author(s):  
Junbo Zhang ◽  
Chonglan Ren ◽  
Hu Zhang ◽  
Fang Yin ◽  
Shuo Zhang ◽  
...  
Keyword(s):  
Fatty Acid ◽  
First Generation ◽  
Trophic Relationships ◽  
Research Progress ◽  
Signature Analysis ◽  
Fatty Acid Signature ◽  
Predator Prey ◽  
Quantitative Ecology ◽  
Improper Use

The dynamic predator–prey relations in the food web are vital for understanding the function and structure of ecosystems. Dietary estimation is a research hotspot of quantitative ecology, providing key insights into predator–prey relationships. One of the most promising approaches is quantitative fatty acid signature analysis (QFASA), which is the first generation of statistical tools to estimate the quantitative trophic predator–prey relationships by comparing the fatty acid (FA) signatures among predators and their prey. QFASA has been continuously widely applied, refined and extended since its introduction. This article reviewed the research progress of QFASA from development and application. QFASA reflects the long-term diet of predator, and provides the quantitative dietary composition of predator, but it is sensitive to the metabolism of predator. The calibration coefficients (CCs) and the FA subset are two crucial parameters to explain the metabolism of predators, but the incorrect construction or improper use of CCs and the FA subset may cause bias in dietary estimation. Further study and refinement of the QFASA approach is needed to identify recommendations for which CCs and subsets of FA work best for different taxa and systems.

scholarly journals Fatty acid signature analysis confirms foraging resources of a globally endangered Mediterranean seabird species: calibration test and application to the wild

2010 ◽  
Vol 398 ◽  
pp. 245-258 ◽  
Author(s):  
R Käkelä ◽  
A Käkelä ◽  
A Martínez-Abraín ◽  
B Sarzo ◽  
M Louzao ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Signature Analysis ◽  
Fatty Acid Signature ◽  
Seabird Species ◽  
Calibration Test

scholarly journals Distance measures and optimization spaces in quantitative fatty acid signature analysis

2015 ◽  
Vol 5 (6) ◽  
pp. 1249-1262 ◽  
Author(s):  
Jeffrey F. Bromaghin ◽  
Karyn D. Rode ◽  
Suzanne M. Budge ◽  
Gregory W. Thiemann
Keyword(s):  
Fatty Acid ◽  
Distance Measures ◽  
Signature Analysis ◽  
Fatty Acid Signature

Managing the Essential Zeros in Quantitative Fatty Acid Signature Analysis

2010 ◽  
Vol 16 (1) ◽  
pp. 45-69 ◽  
Author(s):  
Connie Stewart ◽  
Christopher Field
Keyword(s):  
Fatty Acid ◽  
Signature Analysis ◽  
Fatty Acid Signature

scholarly journals qfasar : quantitative fatty acid signature analysis with R

2017 ◽  
Vol 8 (9) ◽  
pp. 1158-1162 ◽  
Author(s):  
Jeffrey F. Bromaghin
Keyword(s):  
Fatty Acid ◽  
Signature Analysis ◽  
Fatty Acid Signature
Sign in / Sign up

Export Citation Format

Share Document