Igor Yakovlev

Dr. Igor Yakovlev

Norwegian Institute of Bioeconomy Research, Pb 115, NO-1431 Ås, Norway

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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18 August 2004 in BMC Plant Biology
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Journal Article
Open access
ABAmy M Brunner
Amy M Brunner
IYIgor Yakovlev
Igor Yakovlev
SSSteven Strauss
Steven Strauss
Background: Real-time reverse transcription PCR (RT-PCR) has greatly improved the ease and sensitivity of quantitative gene expression studies. However, accurate measurement of gene expression with this method relies on the choice of a valid reference for data normalization. Studies rarely verify that gene expression levels for reference genes are adequately consistent among the samples used, nor compare alternative genes to assess which are most reliable for the experimental conditions analyzed. Results: Using real-time RT-PCR to study the expression of 10 poplar (genus Populus) housekeeping genes, we demonstrate a simple method for determining the degree of stability of gene expression over a set of experimental conditions. Based on a traditional method for analyzing the stability of varieties in plant breeding, it defines measures of gene expression stability from analysis of variance (ANOVA) and linear regression. We found that the potential internal control genes differed widely in their expression stability over the different tissues, developmental stages and environmental conditions studied. Conclusion: Our results support that quantitative comparisons of candidate reference genes are an important part of real-time RT-PCR studies that seek to precisely evaluate variation in gene expression. The method we demonstrated facilitates statistical and graphical evaluation of gene expression stability. Selection of the best reference gene for a given set of experimental conditions should enable detection of biologically significant changes in gene expression that are too small to be revealed by less precise methods, or when highly variable reference genes are unknowingly used in real-time RT-PCR experiments.

28 March 2012 in New Phytologist
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Journal Article
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Åke OlsonÅke Olson
Åke Olson
AAAndrea Aerts
Andrea Aerts
Fred O. AsiegbuFred O. Asiegbu
Fred O. Asiegbu
Lassaad BelbahriLassaad Belbahri
Lassaad Belbahri
OBOurdia Bouzid
Ourdia Bouzid
JSJan Stenlid
Jan Stenlid
• Parasitism and saprotrophic wood decay are two fungal strategies fundamental for succession and nutrient cycling in forest ecosystems. An opportunity to assess the trade‐off between these strategies is provided by the forest pathogen and wood decayer Heterobasidion annosum sensu lato. • We report the annotated genome sequence and transcript profiling, as well as the quantitative trait loci mapping, of one member of the species complex: H. irregulare. Quantitative trait loci critical for pathogenicity, and rich in transposable elements, orphan and secreted genes, were identified. • A wide range of cellulose‐degrading enzymes are expressed during wood decay. By contrast, pathogenic interaction between H. irregulare and pine engages fewer carbohydrate‐active enzymes, but involves an increase in pectinolytic enzymes, transcription modules for oxidative stress and secondary metabolite production. • Our results show a trade‐off in terms of constrained carbohydrate decomposition and membrane transport capacity during interaction with living hosts. Our findings establish that saprotrophic wood decay and necrotrophic parasitism involve two distinct, yet overlapping, processes.

17 June 2010 in New Phytologist
Verified
Journal Article
Closed access
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IYIgor Yakovlev
Igor Yakovlev
CFCarl Gunnar Fossdal
Carl Gunnar Fossdal
ØJØystein Johnsen
Øystein Johnsen

19 February 2016 in Planta
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Journal Article
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IYIgor Yakovlev
Igor Yakovlev
ECElena Carneros
Elena Carneros
YLYeonKyeong Lee
YeonKyeong Lee
JOJorunn E. Olsen
Jorunn E. Olsen
CFCarl Gunnar Fossdal
Carl Gunnar Fossdal

24 January 2012 in Seed Science Research
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Journal Article
Closed access
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IYIgor Yakovlev
Igor Yakovlev
CFCarl Gunnar Fossdal
Carl Gunnar Fossdal
TSTore Skrøppa
Tore Skrøppa
JOJorunn E. Olsen
Jorunn E. Olsen
AJAnne Hope Jahren
Anne Hope Jahren
ØJØystein Johnsen
Øystein Johnsen
Conifers are evolutionarily more ancient than their angiosperm counterparts, and thus some adaptive mechanisms and features influenced by epigenetic mechanisms appear more highly displayed in these woody gymnosperms. Conifers such as Norway spruce have very long generation times and long life spans, as well as large genome sizes. This seemingly excessive amount of genomic DNA without apparent duplications could be a rich source of sites for epigenetic regulation and modifications. In Norway spruce, an important adaptive mechanism has been identified, called epigenetic memory. This affects the growth cycle of these trees living in environments with mild summers and cold winters, allowing them to adapt rapidly to new and/or changing environments. The temperature during post-meiotic megagametogenesis and seed maturation epigenetically shifts the growth cycle programme of the embryos. This results in significant and long-lasting phenotypic change in the progeny, such as advance or delay of vital phenological processes of high adaptive value, like bud break and bud set. This phenomenon is not only of important evolutionary significance but has clear practical implications for forest seed production and conservation of forest genetic resources. The underlying molecular mechanism that causes the ‘memory’ in long-lived woody species is currently under investigation. Here we summarize the information related to epigenetic memory regulation in gymnosperms, with special emphasis on conifers. The molecular mechanism behind this is still unknown but transcriptional changes are clearly involved. Epigenetic regulation may be realized through several mechanisms, including DNA methylation, histone modification, chromatin remodelling, small non-coding RNAs and transposable element regulation, of which non-coding RNAs might be one of the most important determinants.

11 January 2014 in Tree Genetics & Genomes
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Journal Article
Closed access
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IYIgor Yakovlev
Igor Yakovlev
YLYeonKyeong Lee
YeonKyeong Lee
BRBjörn Rotter
Björn Rotter
JOJorunn E. Olsen
Jorunn E. Olsen
TSTore Skrøppa
Tore Skrøppa
CFCarl Gunnar Fossdal
Carl Gunnar Fossdal