Janis Liepins

Dr. Janis Liepins

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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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1 November 2014 in Life Sciences
Verified
Journal Article
Closed access
JKJanis Kuka
Janis Kuka
ELEdgars Liepinsh
Edgars Liepinsh
MMMarina Makrecka-Kuka
Marina Makrecka-Kuka
JLJanis Liepins
Janis Liepins
HCHelena Cirule
Helena Cirule
MDMaija Dambrova
Maija Dambrova

29 July 2021 in Fermentation
Verified
Journal Article
Open access
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JLJanis Liepins
Janis Liepins
Karina BalinaKarina Balina
Karina Balina
RSRaimonda Soloha
Raimonda Soloha
IBIeva Berzina
Ieva Berzina
LLLiva Kristiana Lukasa
Liva Kristiana Lukasa
Elina DaceElina Dace
Elina Dace
Biosurfactants are a microbially synthesized alternative to synthetic surfactants, one of the most important bulk chemicals. Some yeast species are proven to be exceptional biosurfactant producers, while others are emerging producers. A set of factors affects the type, amount, and properties of the biosurfactant produced, as well as the environmental impact and costs of biosurfactant’s production. Exploring waste cooking oil as a substrate for biosurfactants’ production serves as an effective cost-cutting strategy, yet it has some limitations. This review explores the existing knowledge on utilizing waste cooking oil as a feedstock to produce glycolipid biosurfactants by yeast. The review focuses specifically on the differences created by using raw cooking oil or waste cooking oil as the substrate on the ability of various yeast species to synthesize sophorolipids, rhamnolipids, mannosylerythritol lipids, and other glycolipids and the substrate’s impact on the composition, properties, and limitations in the application of biosurfactants.

20 January 2020 in Nature Communications
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Journal Article
Open access
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GKGints Kalnins
Gints Kalnins
ECEva-Emilija Cesle
Eva-Emilija Cesle
Juris JansonsJuris Jansons
Juris Jansons
JLJanis Liepins
Janis Liepins
AFAnatolij Filimonenko
Anatolij Filimonenko
KTKaspars Tars
Kaspars Tars
Bacterial microcompartments (BMCs) are prokaryotic organelles consisting of a protein shell and an encapsulated enzymatic core. BMCs are involved in several biochemical processes, such as choline, glycerol and ethanolamine degradation and carbon fixation. Since non-native enzymes can also be encapsulated in BMCs, an improved understanding of BMC shell assembly and encapsulation processes could be useful for synthetic biology applications. Here we report the isolation and recombinant expression of BMC structural genes from theKlebsiella pneumoniaeGRM2 locus, the investigation of mechanisms behind encapsulation of the core enzymes, and the characterization of shell particles by cryo-EM. We conclude that the enzymatic core is encapsulated in a hierarchical manner and that the CutC choline lyase may play a secondary role as an adaptor protein. We also present a cryo-EM structure of a pT = 4 quasi-symmetric icosahedral shell particle at 3.3 Å resolution, and demonstrate variability among the minor shell forms.

11 April 2014 in FEMS Yeast Research
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Journal Article
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AKAgnese Kokina
Agnese Kokina
JKJuris Kibilds
Juris Kibilds
JLJanis Liepins
Janis Liepins
W303-1A is a popular adenine auxotrophic yeast strain. Adenine starving in adenine auxotrophs might set in in full media. Adenine starvation leads to cell swell

1 August 2017 in Journal of Industrial Microbiology and Biotechnology
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‪P‪Agris Pentjušs
‪Agris Pentjušs
ESEgils Stalidzans
Egils Stalidzans
JLJanis Liepins
Janis Liepins
AKAgnese Kokina
Agnese Kokina
JMJ Martynova
J Martynova
AVArmands Vigants
Armands Vigants
The non-conventional yeast Kluyveromyces marxianus is an emerging industrial producer for many biotechnological processes. Here, we show the application of a biomass-linked stoichiometric model of central metabolism that is experimentally validated, and mass and charge balanced for assessing the carbon conversion efficiency of wild type and modified K. marxianus. Pairs of substrates (lactose, glucose, inulin, xylose) and products (ethanol, acetate, lactate, glycerol, ethyl acetate, succinate, glutamate, phenylethanol and phenylalanine) are examined by various modelling and optimisation methods. Our model reveals the organism’s potential for industrial application and metabolic engineering. Modelling results imply that the aeration regime can be used as a tool to optimise product yield and flux distribution in K. marxianus. Also rebalancing NADH and NADPH utilisation can be used to improve the efficiency of substrate conversion. Xylose is identified as a biotechnologically promising substrate for K. marxianus.

11 June 2019 in The Holocene
Verified
Journal Article
Closed access
PDF file
NSNormunds Stivrins
Normunds Stivrins
TATuomas Aakala
Tuomas Aakala
LILiisa Ilvonen
Liisa Ilvonen
LPLeena Pasanen
Leena Pasanen
TKTimo Kuuluvainen
Timo Kuuluvainen
HSHeikki Seppä
Heikki Seppä
Fire is a major disturbance agent in the boreal forest, influencing many current and future ecosystem conditions and services. Surprisingly few studies have attempted to improve the accuracy of fire-event reconstructions even though the estimates of the occurrence of past fires may be biased, influencing the reliability of the models employing those data (e.g. C stock, cycle). This study aimed to demonstrate how three types of fire proxies – fire scars from tree rings, sedimentary charcoal and, for the first time in this context, fungal spores of Neurospora – can be integrated to achieve a better understanding of past fire dynamics. By studying charcoal and Neurospora from sediment cores from forest hollows, and the fire scars from tree rings in their surroundings in the southern Fennoscandian and western Russian boreal forest, we produced composite fire-event data sets and fire-event frequencies, and estimated fire return intervals. Our estimates show that the fire return interval varied between 126 and 237 years during the last 11,000 years. The highest fire frequency during the 18th–19th century can be associated with the anthropogenic influence. Importantly, statistical tests revealed a positive relationship between other fire event indicators and Neurospora occurrence allowing us to pinpoint past fire events at times when the sedimentary charcoal was absent, but Neurospora were abundant. We demonstrated how fire proxies with different temporal resolution can be linked, providing potential improvements in the reliability of fire history reconstructions from multiple proxies. Fire is a major disturbance agent in the boreal forest, influencing many current and future ecosystem conditions and services. Surprisingly few studies have attempted to improve the accuracy of fire-event reconstructions even though the estimates of the occurrence of past fires may be biased, influencing the reliability of the models employing those data (e.g. C stock, cycle). This study aimed to demonstrate how three types of fire proxies – fire scars from tree rings, sedimentary charcoal and, for the first time in this context, fungal spores of Neurospora – can be integrated to achieve a better understanding of past fire dynamics. By studying charcoal and Neurospora from sediment cores from forest hollows, and the fire scars from tree rings in their surroundings in the southern Fennoscandian and western Russian boreal forest, we produced composite fire-event data sets and fire-event frequencies, and estimated fire return intervals. Our estimates show that the fire return interval varied between 126 and 237 years during the last 11,000 years. The highest fire frequency during the 18th–19th century can be associated with the anthropogenic influence. Importantly, statistical tests revealed a positive relationship between other fire event indicators and Neurospora occurrence allowing us to pinpoint past fire events at times when the sedimentary charcoal was absent, but Neurospora were abundant. We demonstrated how fire proxies with different temporal resolution can be linked, providing potential improvements in the reliability of fire history reconstructions from multiple proxies.