Luke
Silmäile
Hakuohjeet

Jukuri

Tervetuloa käyttämään Jukuria, Luonnonvarakeskuksen (Luke) avointa julkaisuarkistoa. Jukurissa on tiedot Luken julkaisutuotannosta. Osa julkaisuista on vapaasti ladattavissa. Luken muodostaneiden tutkimuslaitosten aikaisemmasta julkaisutuotannosta osan tiedot ovat järjestelmässä jo nyt ja kattavuus paranee jatkuvasti.

Kokoelmat

Viimeksi tallennetut

  • Scalable isolation of soil genomic DNA from microbial eukaryotes to multicellular micro- and mesofauna
    Velmala, Sannakajsa; Tuomivirta, Tero; Pitkänen, Juha-Matti; Latvala, Satu; Pennanen, Taina
    The microbe (Elsevier, 2026)
    Global initiatives emphasise the need for harmonised soil biodiversity assessments. Efficient DNA extraction methods that accommodate larger soil volumes are essential for capturing organisms at higher trophic levels than bacteria and fungi and for supporting extensive sampling campaigns. We developed and evaluated a scalable, cost-efficient, and automation-ready soil DNA isolation protocol and compared its performance with two widely used commercial extraction methods: Qiagen DNeasy PowerSoil Pro (0.25 g soil input) and Qiagen DNeasy PowerMax Soil (2.5 g soil input). Four contrasting soil types representing agricultural and forest ecosystems (mull, sandy till, peat, and coarse mineral soil) were analysed. The new protocol combines bead-beating in sodium thiocyanate lysis buffer with either silica-membrane or carboxyl-coated magnetic bead purification and was tested using soil inputs of 2.5 g and 5 g for one soil type. DNA extracts were sequenced on an Illumina MiSeq platform using universal eukaryotic 18S rRNA gene primers to characterise soil metazoans and microbial eukaryotes. The developed protocol, combining a tenfold increase in soil input with commercial kit purification, produced the highest DNA yields in three of four soil types, increasing DNA recovery by up to 2.3-fold compared with the commercial maxiprep method. It also consistently detected the greatest metazoan richness, recovering up to 103% more taxa than the conventional miniprep method and up to 82% more taxa than the commercial maxiprep method. The carboxyl-coated magnetic bead workflow also performed well, recovering up to 83% more metazoan taxa than the miniprep method and up to 55% more taxa than the maxiprep method, particularly in forest soils. For microbial eukaryotes and protists, the commercial maxiprep and combination of developed high lysis volume and commercial kit silica purification protocols generally yielded the highest richness in agricultural soils, whereas the developed protocol performed best in coarse xeric forest soils. These results indicate that at least a tenfold increase in soil input relative to conventional 0.25 g extractions is required for reliable characterisation of mesofauna diversity, while further increases may provide additional gains. The developed DNA isolation protocol offers a solution for large-scale soil biodiversity assessments, supporting the integration of higher trophic levels into eDNA-based monitoring frameworks and future soil health monitoring programmes.
  • Effects of wood products substitution on fossil carbon emissions in Finland, the European Union, and the world
    Heräjärvi, Henrik; Taylor, Adam; Mutanen, Antti; Tolvanen, Miika; Pykäläinen, Jouni
    Silva fennica : 2 (Suomen metsätieteellinen seura, 2026)
    The main driver of climate change is fossil carbon emissions that can be avoided by using renewables instead of fossil-intensive energy or materials. A displacement factor (DF) quantifies fossil emissions avoided by wood use instead of a fossil material. Substitution impact of wood products can be calculated by multiplying their product-specific DFs and their production volumes. We quantified the substitution impact in Finland, the European Union (EU), and worldwide for 2020 using two different DF sets. We extended the analysis out to 2040 in Finland. Depending on DFs used, the avoided fossil emissions by wood use were 13–38 (Finnish wood), 149–317 (EU wood), and 971–2014 (world wood) MtCO2e in 2020. These correspond to 37–94% (Finland), 6–12% (EU), and 3–6% (world) of total fossil emissions in their respective areas, highlighting the importance of substitution impacts. Despite the uncertainties, the estimates show large climate effects. In Finland, the substitution impact approaches the scale of the total fossil emissions of the country, while at the EU and global scales, the impact is similar in scale to the entire reported LULUCF criterion. The DFs for wood use may decrease in the future because of the decarbonization of the energy systems used in the production of alternatives to wood: steel, concrete, and plastics. However, wood products will remain important in avoiding fossil emissions by providing bio-based material and energy options.
  • Vihanneslohkojen typpivarannoissa suurta vaihtelua
    Suojala-Ahlfors, Terhi; Salo, Tapio; Ruski, Jari
    Puutarha & kauppa : 7 (Kauppapuutarhaliitto, 2026)
  • Onko nyt taimialan nousun aika?
    Haikonen, Tuuli
    Puutarha & kauppa : 1 (Kauppapuutarhaliitto, 2026)
  • Genomic prediction of wild-derived powdery mildew resistance for strawberry (Fragaria × ananassa) pre-breeding
    Rehman, Attiq ur; Kärkkäinen, Hanni; Schulman, Alan H.; Jurado, Napoleon Vargas; Strandén, Ismo; Haikonen, Tuuli
    Heredity : 7 (Springer Nature, 2026)
    Genomic prediction (GP) has become an essential tool for accelerating modern plant breeding, particularly for complex traits. We evaluated different GP approaches for pre-breeding in thirteen biparental strawberry families derived from crosses between Fragaria virginiana and Fragaria chiloensis, focusing on resistance to powdery mildew (PM) in both leaves and fruits. Five-fold cross-validation using Genomic Best Linear Unbiased Prediction (GBLUP) for combined-year data yielded mean predictive abilities (PAs) of 0.56 and 0.36 for leaf and fruit resistance, respectively. Family-based GBLUP analyses showed higher PAs for closely related families, ranging from 0.10 to 0.89. Simulations identified key parameters: training sets comprising 40% of the population provided stable predictions for both traits, while ≈8300 SNPs were sufficient for predicting leaf resistance. However, PA for fruit resistance remained consistently low regardless of marker density. We then compared GBLUP with a marker-assisted model that iteratively incorporated the major resistance loci as fixed effects. This strategy increased PA by ≈10–30% for leaf resistance and ≈25–47% for fruit resistance across models. We further applied cross-environment forward prediction in independent greenhouse and separate field validation trials. The GBLUP model maintained substantial PA when trained on either the full population or a 40% subset, demonstrating robustness in predicting new genotypes across distinct environments. Our findings highlight the importance of taking trait genetic architecture into account to enhance PAs for PM resistance in strawberry. Together, these results provide evidence-based thresholds for training population size and marker density, offering a framework for efficient implementation of genomic selection in strawberry pre-breeding populations.