Roger Huerlimann

Dr. Roger Huerlimann

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 October 2018 in Methods in Ecology and Evolution
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Journal Article
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DMDonald T. McKnight
Donald T. McKnight
RHRoger Huerlimann
Roger Huerlimann
DBDeborah S. Bower
Deborah S. Bower
LSLin Schwarzkopf
Lin Schwarzkopf
RARoss Alford
Ross Alford
KZKyall R. Zenger
Kyall R. Zenger

2 August 2010 in Biotechnology and Bioengineering
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Journal Article
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RHRoger Huerlimann
Roger Huerlimann
RNRocky de Nys
Rocky de Nys
KHKirsten Heimann
Kirsten Heimann

16 May 2019 in Environmental DNA
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Journal Article
Open access
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DMDonald T. McKnight
Donald T. McKnight
RHRoger Huerlimann
Roger Huerlimann
DBDeborah S. Bower
Deborah S. Bower
LSLin Schwarzkopf
Lin Schwarzkopf
RARoss A. Alford
Ross A. Alford
KZKyall R. Zenger
Kyall R. Zenger
Contamination is a ubiquitous problem in microbiome research and can skew results, especially when small amounts of target DNA are available. Nevertheless, no clear solution has emerged for removing microbial contamination. To address this problem, we developed the R package microDecon (https://github.com/donaldtmcknight/microDecon), which uses the proportions of contaminant operational taxonomic units (OTUs) or amplicon sequence variants (ASVs) in blank samples to systematically identify and remove contaminant reads from metabarcoding data sets. We rigorously tested microDecon using a series of computer simulations and a sequencing experiment. We also compared it to the common practice of simply removing all contaminant OTUs/ASVs and other methods for removing contamination. Both the computer simulations and our sequencing data confirmed the utility of microDecon. In our largest simulation (100,000 samples), using microDecon improved the results in 98.1% of samples. Additionally, in the sequencing data and in simulations involving groups, it enabled accurate clustering of groups as well as the detection of previously obscured patterns. It also produced more accurate results than the existing methods for identifying and removing contamination. These results demonstrate that microDecon effectively removes contamination across a broad range of situations. It should, therefore, be widely applicable to microbiome studies, as well as to metabarcoding studies in general.

1 July 2017 in Ecotoxicology and Environmental Safety
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Journal Article
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FHFranz M. Heindler
Franz M. Heindler
FAFahad Alajmi
Fahad Alajmi
RHRoger Huerlimann
Roger Huerlimann
CZChaoshu Zeng
Chaoshu Zeng
SNStephen J Newman
Stephen J Newman
LHLynne van Herwerden
Lynne van Herwerden

29 February 2012 in Critical Reviews in Biotechnology
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Journal Article
Closed access
RHRoger Huerlimann
Roger Huerlimann
KHKirsten Heimann
Kirsten Heimann
Lipids from microalgae have become an important commodity in the last 20 years, biodiesel and supplementing human diets with ω-3 fatty acids are just two of the many applications. Acetyl-CoA carboxylase (ACCase) is a key enzyme in the lipid synthesis pathway. In general, ACCases consist of four functional domains: the biotin carboxylase (BC), the biotin carboxyl binding protein (BCCP), and α-and ß-carboxyltransferases (α-and ß-CT). In algae, like in plants, lipid synthesis is another function of the chloroplast. Despite being well researched in plants and animals, there is a distinct lack of information about this enzyme in the taxonomically diverse algae. In plastid-containing organisms, ACCases are present in the cytosol and the plastid (chloroplasts) and two different forms exist, the heteromeric (prokaryotic) and homomeric (eukaryotic) form. Despite recognition of the existence of the two ACCase forms, generalized published statements still list the heteromeric form as the one present in algal plastids. In this study, the authors show this is not the case for all algae. The presence of heteromeric or homomeric ACCase is dependent on the origin of plastid. The authors used ACCase amino acid sequence comparisons to show that green (Chlorophyta) and red (Rhodophyta) algae, with the exception of the green algal class Prasinophyceae, contain heteromeric ACCase in their plastids, which are of primary symbiotic origin and surrounded by two envelope membranes. In contrast, algal plastids surrounded by three to four membranes were derived through secondary endosymbiosis (Heterokontophyta and Haptophyta), as well as apicoplast containing Apicomplexa, contain homomeric ACCase in their plastids. Distinctive differences in the substrate binding regions of heteromeric and homomeric α-CT and β-CT were discovered, which can be used to distinguish between the two ACCase types. Furthermore, the acetyl-CoA binding region of homomeric α-CT can be used to distinguish between cytosolic and plastidial ACCase. The information provided here will be of fundamental importance in ACCase expression and activity research to unravel impacts of environmental and physicochemical parameters on lipid content and productivity.