Radka Slovak's research while affiliated with University of Oxford and other places

Publications (29)

Article
Full-text available
From the cellular perspective, organ growth is determined by production and growth of cells. Uncovering how these two processes are coordinated is essential for understanding organogenesis and regulation of organ growth. We utilized phenotypic and genetic variation of 252 natural accessions of Arabidopsis thaliana to conduct genome‐wide association...
Article
Root system architecture (RSA), the distribution of roots in soil, plays a major role in plant survival. RSA is shaped by multiple developmental processes that are largely governed by the phytohormone auxin, suggesting that auxin regulates responses of roots that are important for local adaptation. However, auxin has a central role in numerous proc...
Preprint
Full-text available
Root system architecture (RSA), the distribution of roots in soil, plays a major role in plant survival. RSA is shaped by multiple developmental processes that are largely governed by the phytohormone auxin, suggesting that auxin regulates responses of roots that are important for local adaptation. However, auxin has a central role in numerous proc...
Article
Full-text available
Regulation of plant root angle is critical for obtaining nutrients and water and is an important trait for plant breeding. A plant's final, long-term root angle is the net result of a complex series of decisions made by a root tip in response to changes in nutrient availability, impediments, the gravity vector and other stimuli. When a root tip is...
Data
Ancient-DNA characteristics of unrepaired herbarium libraries. (A) Fraction of A. thaliana DNA in sample. (B) Median length of merged reads. (C) Fraction of cytosine to thymine (C-to-T) substitutions at first base (5’ end). (D) Relative enrichment of purines (adenine and guanine) at 5’ end breaking points. Position -1 is compared with position -5 (...
Data
Sample information. (Abbreviation H* indicates herbarium samples that cluster with the modern HPG1 clade rather than the historic HPG1 clade in Fig 3, highlighted as a star in the map from Fig 1. Abbreviations of herbarium collections or seed sources: UCONN = University of Connecticut Herbarium; CFM = Chicago Field Museum; NY = New York Botanical G...
Article
Full-text available
By following the evolution of populations that are initially genetically homogeneous, much can be learned about core biological principles. For example, it allows for detailed studies of the rate of emergence of de novo mutations and their change in frequency due to drift and selection. Unfortunately, in multicellular organisms with generation time...
Data
Description of phenotypic and climatic variables for association mapping analyses. Mean and standard deviation (s.d.) across accessions for each phenotypic and climatic variables. Broad sense heritabilities (H2) were calculated from between line and within line (between replicate) variance in ANOVA. P-value corresponds to F test. Narrow sense herit...
Data
Mutation rate estimates for different annotations in HPG1 and mutation accumulation lines. Mutation rates from MA lines are compared to HPG1 substitution rates from the dataset of 32_15 quality filter and complete information (see SOM) (Abbreviations: stat, descriptive statistic; bp, base pairs; lower and upper, lower and upper 95% CI; Nonsyn. and...
Data
SNP hits from association analyses and several descriptors. SNP hits significant at the 5% level after permutation correction are shown. Additionally, if raw p-values pass a double Bonferroni threshold of 0.01% are marked with a "tick". (Abbreviations: nonsyn. and syn., nonsynonymous and synonymous changes; regular one-letter abbreviation was used...
Data
Relationship between methylation and substitutions. (A, B) Fraction of methylation of cytosines in HPG1 pseudo-reference[7] at intergenic (A) or coding regions (B). (C, D) Fraction of methylation of cytosines in Col-0 reference genome(5) at intergenic (C) or coding regions (D). In each of the four comparisons, a grey histogram represents distributi...
Data
For each trait employed in association analyses, we report the histogram distribution and the QQ plot of p-values to ensure that no trait departs exaggeratedly from the normal distribution, and that no inflation of p-values is observed (when lambda ≤ 1, there is no inflation of false positives). (PDF)
Data
Substitution spectrum and rates. (A) Site frequency spectrum for all transitions and transversions. (B) Distributions of “net” pairwise genetic distances between historic and modern samples used to calculate mutation rates per genomic annotation (from quality 32_15 and complete information per site). UTRs were excluded because of the small number o...
Data
Separation between HPG1 and other North American lineages. (A) Neighbor-joining tree built using Illumina-based SNP calls at the 149 genotyping markers originally used to identify HPG1 candidates. HPG1 accessions are shown in black, whereas other North American lineages are depicted in red (see explanation below for four HPG1-like accessions). (B)...
Data
Linkage disequilibrium of significant SNPs. (A-F) Linkage disequilibrium between SNPs with significant trait associations. Histogram of genetic distances (A) between samples when evaluating only coding regions at 5% minimum allele frequency. Linkage disequilibrium between SNP hits measured as r2 (B) and D’ (C). Three significant SNPs were further s...
Data
Extended materials and methods, and supporting analyses. (PDF)
Data
Comparison of site frequency spectra across genomic annotations. Cumulative empirical distribution, at different genomic annotations, of the unfolded Site Frequency Spectrum of SNPs oriented based on the order of appearance of alleles in the herbarium genomes. Note the steep slope at low frequency indicating large numbers of such variants. (PDF)
Data
Spatial and temporal emergence of root-associated mutations. (A) Age distribution of derived SNPs with a significant trait association (the herbarium sample in which they were first recorded) (red), compared with genome-wide SNPs with at least 5% minor allele frequency (grey), or without frequency cutoff (black). (B) Spatial centroid of all samples...
Data
Sample information for Col-0 mutation accumulation lines. Information about each Mutation Accumulation (MA) line and their number of SNPs at different annotations. Also the total number of SNPs, average number of mutations and total bp covered in the genome per annotation are reported. (XLSX)
Preprint
Full-text available
By following the evolution of populations that are initially genetically homogeneous, much can be learned about core biological principles. For example, it allows for detailed studies of the rate of emergence of de novo mutations and their change in frequency due to drift and selection. Unfortunately, in multicellular organisms with generation time...
Article
Full-text available
Low availability of Fe significantly limits crop yields in many parts of the world. However, it is largely unknown which genes and alleles adjust plant growth in Fe limited environments. Using natural variation of a geographically restricted panel of Arabidopsis thaliana accessions, we identify allelic variation at the FRO2 locus associated with ro...
Data
Supplementary Figures, Supplementary Tables and Supplementary References
Article
Full-text available
Background: Roots are essential organs for higher plants. They provide the plant with nutrients and water, anchor the plant in the soil, and can serve as energy storage organs. One remarkable feature of roots is that they are able to adjust their growth to changing environments. This adjustment is possible through mechanisms that modulate a divers...
Article
Genome-wide association (GWA) mapping is a powerful technique to address the molecular basis of genotype to phenotype relationships and to map regulators of biological processes. This chapter presents a protocol for genome-wide association mapping in Arabidopsis thaliana using the user-friendly internet application GWAPP, and provides a specific pr...
Article
Full-text available
Large-scale phenotyping of multicellular organisms is one of the current challenges in biology. We present a comprehensive and scalable pipeline that allows for the efficient phenotyping of root growth traits on a large scale. This includes a high-resolution, low-cost acquisition setup as well as the automated image processing software BRAT. We ass...

Citations

... Here we reviewed different published studies and found that few of them focused their GWAS analysis on identifying genes that determine a differential PR growth between accessions under control conditions, that is, that does not involve exposure to a stress treatment. For instance, Slovak and collaborators (2020) found that the ARABIDOPSIS ADENYL-ATE KINASE 6 (AAK6), a protein important for ribosomal biogenesis, is required for normal cell cycle progression and PR growth [20]. Furthermore, using an epistatic GWA analysis, Lachowiec and collaborators (2015) reported that the transcription factor of the NAC family NAC6 and ATL5, TERMINAL FLOWER1 (TFL1) and another locus that encodes an ankyrin family protein (At3g28880), contribute to PR length [21]. ...
... To discover novel genes involved in PR growth using the natural variation of Arabidopsis, we analyzed the PR length measures under control conditions of nine different studies to perform GWAS. Eight of these GWAS focus on identifying genes involved in PR growth under different stress conditions: salinity [10,11], nutrient deficiencies [14][15][16], hormones responses [13,23] and wound [12] and only one study is focused on obtaining SNPs under control conditions [21]. In some of these studies, the SNPs associated with the PR length under control conditions are not deeply analyzed may be due to a lack of statistical significance [10,13,14,16,23] or that the PR length was only used as a normalizer under a particular stress condition [15]. ...
... Finally, we found a gene annotated as excocyst complex component 7 upregulated in the meristematic zone. Components of the exocyst are involved in directing exocytotic vesicles to fusion sites on the plasma membrane and might be involved in the distribution of the auxin transporter PINFORMED4 in Arabidopsis (37,38). ...
... Penn could be considered to show a constitutive Pi-starvation response in terms of its primary root length, as it has shorter primary roots in Pi sufficiency compared to M82, and no change in root length in limiting Pi. It should be noted, however, that the short root phenotype is multigenic in nature and that a constitutive Pi deprivation is likely not the only factor at play with the short root (Ron et al., 2013;Toal et al., 2018). In limiting Pi conditions, elongation of root hairs was observed in M82 (two-way ANOVA P < 0.0001; Fig. 1c,d). ...
... Refs. 122,123 ). Despite our mixed evidence, adaptive processes could still be important for most of the populations, since the responses of transplants depended on their habitat of origin. ...
... Fe 3+ released by the H + -ATPase protease system enters the cell after forming chelates with chelators in the plant, and the reduction system converts Fe 3+ chelates into Fe 2+ chelates released for plant uptake and utilization. The iron deficiency-induced pea Fe 3+ reductase gene, PsFRO1, was expressed in plant roots, mycorrhizae, stems, and leaves, and the expression was relatively higher in root epidermal cells with Fe 3+ reduction system and Fe 2+ transporter protein system; and the expression of PsFRO1 in the nitrogen fixation zone of root nodules may play a role in plant nitrogen fixation (Waters et al., 2002); natural allelic variation of FRO2 regulates Arabidopsis root growth under iron deficiency conditions (Satbhai et al., 2017). This step is particularly important as it is the limiting step in the mechanism I process. ...
... In these studies, the SNPs associated with PR length under control conditions were not deeply analyzed because PR length is only used as a normalizer to study a particular stress condition or because small sample sizes render few or no statistically associated SNPs [10,[13][14][15][16]. Nevertheless, the intense research on Arabidopsis PR has allowed uncovering some genetic mechanisms underlying root growth and differentiation as well as the response to different environmental conditions [17]. Several genes have been reported to influence PR, such as the transcription factors WUSCHEL-RELATED HOMEOBOX 5 (WOX5), PLETHORA genes (PLTs), SHORT ROOT (SHR), SCARECROW (SCR), cell cycle genes members such as CYCLIN-DEPENDENT KINASES and CYCLINS and also plant hormones that are key regulators of cell division, elongation and cell identity, during PR development [17][18][19]. ...
... High-throughput plant phenotyping is increasingly used in crop breeding (Araus & Cairns, 2014;Ghanem et al., 2015;Watanabe et al., 2017). It also empowers research approaches such as quantitative trait loci mapping and genome-wide association study, which aim to close the genotype-phenotype gap by identifying associations between phenotypic traits and genetic markers across a broad panel of genotypes (Slovak et al., 2015;Zhang et al., 2017). Moreover, computational methods that can identify, classify or quantify plant stress symptoms or predict plant trait outcomes based on phenotypic data collected at an earlier stage have been established . ...
... Also, we noted if the seedling age was indicated in days after germination (DAG). The data are represented as the mean PR length in cm (S1 Table) and the studies that had their data in pixels were transformed to cm according to [24] (1 pixel = 21 μm). The studies that displayed root kinetic growth as rate growth was converted to linear growth, adding to the previous value. ...