BUSCADOR RECOLECTA

Figures S1-S11. -- Supplemental Data Set 1: Arabidopsis lines used in this study. -- Supplemental Data Set 2: List of plasmids used in this study. -- Supplemental Data Set 3: List of primers and synthetic sequences used in this study for genotyping and cloning. -- Supplemental Data Set 4. Yeast strains used in this study. -- Supplemental Data Set 5. Other materials used in this study. -- Supplemental Data Set 6. Statistical analysis., Supplementary figures_3rdSbmission.pdf, tpc.22.01238Supplemental Data Sets 1XXX6.xlsx, Peer reviewed

Script to perform the MNase-seq analysis on porcine sperm., Peer reviewed

18 pages. -- Fig. S1 DNA sequence alignment of SlG1 CRISPR mutants. -- Fig. S2 Protein alignments of SlG1 wild-type sequences with the selected CRISPR 20 mutants. -- Fig. S3 SlG1, SlG2, and SlG3 transcript levels in different tissues and developmental stages. -- Fig. S4 Expression levels of genes encoding GLS and GGPPS isoforms in leaves after Pseudomonas syringae infection. -- Fig. S5 SlG1-Myc is able to specifically bind to protein partners. Fig. S6 Root parameters in SL-defective mutants. -- Methods S1 Metabolite analyses. -- Methods S2 Gene expression analyses. -- Methods S3 Co-immunoprecipitation assays. -- Table S1 List of primers used in this work. -- Table S2 Constructs and cloning details. -- Table S3 Co-expression of tomato GGPPS paralogs (guide genes) with isoprenoid-related genes (query genes) in root tissue., Peer reviewed

-Data were generetaed from February to September 2023._ -vcab_single,xml and kTsweek.xml are the input files for VCAbuilder and kTsweep, executables of the almaBTE package. The folder 'TiSe2' contains the force constants computed with DFT and other files necessary to run the calculations. File of the type of TiSe2_25_25_1_200_200.Tsweep are the output of kTsweep._ -Data were generetaed as detailed in the related article._ -Files can be opened and read with a simple text editor. The almaBTE code (freely available at https://almabte.bitbucket.io/) is needed to carry out the thermal conductivity calcualtions._, In this project we computed the thermal conductivity of two phases of monolayer TiSe2. The 2x2 is the ground state that is stable at low temperature and that feature a charge density wave (CDW). The 1x1 is the undistorted phase that is stabilized by photoexcitation (which we effectively simulate with a larger broadening of the Fermi-Dirac distribution, i.e. 0.197895 vs 0.01). Each folder contains the files necessary to carry out a thermal conductivity calculations with almaBTE (freely available at https://almabte.bitbucket.io/). The force constants were obtained with the DFT package VASP, as detailed in the related article., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000917-S)., Thermal conductivity of (a) the CDW 2x2 phase with a Fermi-Dirac broadening of 0.01; (b) the 1x1 phase with a Fermi-Dirac broadening of 0.50; (3) the R3m phase with a Fermi-Dirac broadening of 0.197895, Peer reviewed

Table S1. Results of the PC analysis on relative GR expression across tissues (three main components)., Table S2. Pearson correlation matrix showing the correlations among relative GR expression across the six tissues sampled (N=42) with (A) and without (B) controlling by age at sampling: AMY: amygdala, HP: Hippocampus, NCL: Nidopallium Caudolaterale , HYP: Hypothalamus, VS: Ventral striatum. Relative GR expression values were ln transformed. Correlation coefficients are presented on the left of each cell, and p values on the right. CORT variables were ln-transformed. Significant (p<0.05) and close to significance (p<0.1) correlations are presented in bold. Age was controlled for by obtaining the residuals of relative GR expression on age at sampling., Table S3. Main model testing the effects of nestling mass on relative GR expression. AMY: amygdala, HP: Hippocampus, NCL: Nidopallium Caudolaterale, HYP: Hypothalamus, VS: Ventral striatum. Note that all variables except Tissue were mean-centered for the analysis., Table S4. Model testing the effects of nestling mass on relative GR expression (ln) in adulthood in Amygdala (A), Hippocampus (B), Hypothalamus (C) and Nidopallium Caudolaterale (D). Note that all variables were mean-centered for the analysis., Table S5. Model testing the effects of adult mass on relative GR expression (ln) in Blood (A) and Ventral Striatum (B). Note that all variables but Tissue were mean-centered for the analysis., Table S6. Model testing the effects of compensatory growth (day 100 mass – day 15 mass) on relative GR expression (ln) in Blood (A) and Ventral Striatum (B). Note that all variables but Tissue were mean-centered for the analysis., Peer reviewed

[Methods] Data collection In order to identify phylogenetic and environmental correlates of plant mycorrhizal traits, we compiled four data sources: 1) plant species mycorrhizal trait data; 2) plant species occurrence data; 3) global climatic and soil environmental data and 4) plant phylogenetic information. The plant occurrence and environmental data were used to estimate plant species environmental associations. The environmental association data and phylogenetic information were then used to model variations in plant mycorrhizal trait expression (Figure 1). First, plant mycorrhizal trait data were obtained from the most up-to-date literature available, including data published by Harley & Harley (1987, 1990), Wang & Qiu (2006), Hempel et al. (2013), Bueno et al. (2017), Gerz et al. (2018) and Soudzilovskaia et al. (2020). We distinguished four plant mycorrhizal types (arbuscular (AM), ecto- (ECM), orchid (ORM), and ericoid (ERM) mycorrhiza, as defined by Smith & Read (2008)) and three plant mycorrhizal statuses (obligately (OM), facultatively (FM) and non-mycorrhizal (NM)). We compiled plant mycorrhizal trait data for 14,722 taxa at the species level (Appendix S2). Second, plant species occurrence records were retrieved from the Global Biodiversity Information Facility (GBIF; www.gbif.org) for 13,479 species that were present in both the standardised GBIF species list and the mycorrhizal trait species list. Third, plant occurrence data of 13,479 species were intersected with a 30 arc-seconds (approximately 1 km) global grid, with the presence or absence of each species in each cell recorded. A sensitivity test indicated that sampling 20 grid-cell records produced environmental parameter estimates that were representative of wider distribution areas (Appendix S1); retaining species recorded in ≥ 20 cells left 62,540,387 grid-cell level records for 11,770 species (Appendix S3). Environmental associations were approximated by intersecting the distribution data for each species with a raster stack of 54 environmental data layers (Table S1). Fourth, a phylogenetic tree containing the 11,770 species in our dataset was compiled, and phylogenetic signal in plant mycorrhizal traits was examined using the δ statistic (Borges et al., 2019). See Appendix S1 for details of datasets and data filtering. 710 dual mycorrhizal plant species (AM + ECM) were distinguished (Appendix S2), of which 665 were matched with geographic location information in GBIF. Except where stated otherwise, these species were grouped with ECM plant species in further analyses, reflecting ongoing controversy concerning the definition of dual mycorrhizal plant species (Teste et al., 2020; Brundrett, 2021a) and the fact that the niches of dual mycorrhizal plants most closely resemble those of ECM plants (Gerz et al., 2018)., Mycorrhizal symbioses are known to strongly influence plant performance, structure plant communities and shape ecosystem dynamics. Plant mycorrhizal traits, such as those characterizing mycorrhizal type (arbuscular (AM), ecto-, ericoid, or orchid mycorrhiza) and status (obligately (OM), facultatively (FM), or non-mycorrhizal) offer valuable insight into plant belowground functionality. Here, we compile available plant mycorrhizal trait information and global occurrence data (~100 million records) for 11,770 vascular plant species. Using a plant phylogenetic mega-tree and high-resolution climatic and edaphic data layers, we assess phylogenetic and environmental correlates of plant mycorrhizal traits. We find that plant mycorrhizal type is more phylogenetically conserved than plant mycorrhizal status, while environmental variables (both climatic and edaphic; notably soil texture) explain more variation in mycorrhizal status, especially FM. The previously underestimated role of environmental conditions has far-reaching implications for our understanding of ecosystem functioning under changing climatic and soil conditions., Ramon y Cajal fellowship, Award: RYC2021-032533-I. European Research Council, Project ALFAwetlands. European Commission, Award: Centre of Excellence EcolChange. Alexander von Humboldt Foundation. Narodowa Agencja Wymiany Akademickiej, Award: PPN/ULM/2019/1/00248/U/00001. Estonian Research Council, Award: PRG1065.Estonian Research Council, Award: PRG1789.Estonian Research Council, Award: PRG741., Peer reviewed

(A, B) Co-immunoprecipitation analysis in cells simultaneously expressing 3HA-Bfa1 and Nup159-eGFP, both in a nup42Δ or in an otherwise wild-type background, as well as in cells from another strain that concurrently expresses 3HA-Bfa1 and Nup42-eGFP. Cells expressing only 3HA-Bfa1, Nup159-eGFP, or Nup42-eGFP, as well as the wild-type strain, were also included as controls. Stationary phase cultures in YPAD were diluted to OD600 = 0.2 in fresh medium and grown for 6 h at 26°C. Western blot gel images for 3HA-Bfa1, Nup159-eGFP, and/or Nup42-eGFP are shown for both the input (INPUT) and the immunoprecipitated (Co-IP) samples. The Co-IP efficiency for 3HA-Bfa1 relative to the corresponding control with untagged Nup159 (-) and referred to the strain used as a reference (×1.00) in (B) is indicated in each case. (C) Gray scale images for each of the individual fluorescent channels in Fig 1C, which displays a positive BiFC interaction between Bfa1-VC and Nup159-VN., Peer reviewed

(A, B) Percentage of cells in metaphase, anaphase or other stages of the cell cycle, for the co-immunoprecipitation experiments shown in Fig 2A (A) and Fig 2B (B). Data are available in S1 Data. (C) Percentage of cells that did not display microtubules, as well as those of cells in metaphase, anaphase, or other stages of the cell cycle, for the co-immunoprecipitation experiment shown in Fig 3A. Data are available in S1 Data. (D, E) Co-immunoprecipitation analysis in cells simultaneously expressing 3HA-Bfa1 and Nup159-GFP in a cdc20-3, a cdc20-3 ndc10-1 or an otherwise wild-type background. Cells expressing 3HA-Bfa1 were included as a control. Stationary phase cells in YPAD were diluted to OD600 = 0.2 in fresh medium and either grown in YPAD medium at 26°C for 6 h (Asynchr.) or alternatively arrested in G1 with 5 μg/ml α-factor and then released into YPAD medium at 34°C without pheromone and with (+NOC) or without (+DMSO) 15 μg/ml nocodazole. (D) Percentage of cells that did not display microtubules, as well as those of cells in metaphase, anaphase, or other stages of the cell cycle. Data are available in S1 Data. (E) Western blot gel images for 3HA-Bfa1 and Nup159-GFP for both the input (INPUT) and the immunoprecipitated (Co-IP) samples. The Co-IP efficiency for 3HA-Bfa1 relative to the corresponding control with untagged Nup159 (-) and referred to the strain or condition used as a reference (×1.00) is indicated in each case. (F) Percentage of cells in metaphase, anaphase, or other stages of the cell cycle, for the co-immunoprecipitation experiment shown in Fig 3B–3D. Data are available in S1 Data., Peer reviewed

A novel design of a catalytic stirrer that can only be manufactured by 3D printing techniques is proposed. The stirrer blades are meshed and permeable to fluids. The STL files required for printing these novel stirrers with 2, 3, or 6 blades can be downloaded here. Two groups of STL files are provided depending on the material to be printed, namely PLA or any other selected filament for FDM printing; or whey pastes or any other selected paste for DIW printing. G-code and 3MF files are also provided to print, either by FDM or DIW, stirrers with meshed blades of different infills, namely solid (non-meshed or 100% infill), 50% infill, and 35% infill. The meshed patterns are provided by the PrusaSlicer® Laminator, as detailed in the corresponding publication., Peer reviewed

(A) Western blot gel images of the three biological replicates used for the quantifications in Fig 5B and 5C, displaying Nup159-eGFP and free eGFP levels at the indicated time points after cells were transferred to SD-N medium (time = 0 h). Intermediate Nup159-eGFP degradation forms are indicated with (*). Pgk1 was used as a loading control. Graphs showing the quantification of the levels of full-length Nup159-eGFP and free eGFP for each of the experiments are also included next to each western blot image. Data are available in S1 Data., Peer reviewed