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Paape, T.

Publications and source records attributed to Paape, T..

7 recordsLinked to original sources

Simulating Iron Deficiency in Plant Plastids With a Flexible Physics-Informed Neural Network Approach

Flux balance analysis has proven to be a successful approach in metabolic engineering and systems biology to predict intracellular fluxes of large genome-scale networks and the essentiality of genes encoding enzymes and regulatory factors. Flux balance analysis (FBA) relies on a key assumption of a metabolic state being persistent ("steady") over a given time frame. This assumption works well for microbial growth because of the ease with which microbial media can be fixed, biomass can be decomposed, and growth rates can be measured. However, the assumption is far less tenable for the cells and tissues of complex multicellular organisms, particularly if any integrated data is sampled from a heterogeneous collection of developing cells continually interacting between and across tissues. These will likely exhibit transient metabolic states equilibrating over varying timescales, and many FBA studies in complex organisms typically either ignore time as a parameter, or integrate data taken over long timescales (days/weeks). In this work, we adopt and modify a previously published machine learning approach originally developed to hybridize several aspects of a constraint-based approach with machine-learning in order to predict growth. This approach accommodates transient state dynamics, at the cost of tolerating a controlled amount of slack in the steady-state assumption, in order to enable transcript-constrained flux estimation in plant tissues without optimizing a growth objective. For our case study, we reconstruct the metabolism of the plastid of Poplar and Sorghum, integrating data sampled from leaf tissue under varying levels of iron bioavailability. The two species diverge sharply: Sorghum suppresses its photosynthetic electron transport and Calvin cycle abruptly at day 7 and its carbon delivery to biomass collapses to a third of control by day 21, whereas Poplar declines gradually and retains roughly 70%. Normalizing each reaction score to the plastid proteome pool makes the two species comparable and exposes reallocation as the pool contracts, including a split within Sorghums sulfate assimilation that tracks which enzymes carry iron cofactors.

bioinformatics↗

Plant genotype and microbial strain combinations strongly influence the transcriptome under heavy metal stress conditions

Heavy metals such as cadmium (Cd) and mercury (Hg) pose significant threats to plant health and food safety as they are absorbed from the environment. Legumes are generally considered sensitive to heavy metals but possess standing genetic variation for accumulation and tolerance to toxic ions. We conducted a transcriptomic analysis on hydroponically and soil grown Medicago truncatula plants to investigate gene expression responses to Cd and Hg exposure in roots, leaves, and nodules. By using plant genotypes with varying metal tolerance or accumulation levels, we observed distinct clustering of gene ontologies, indicating tissue-specific, genotype-specific, and metal-specific gene expression patterns. Considering the symbiotic relationship between legumes and nitrogen-fixing bacteria, we further examined plant phenotypes and transcriptomes of plant genotypes with contrasting Hg accumulation levels and inoculated them with high or low Hg-tolerant Sinorhizobium medicae strains that have presence-absence variation for a mercury reductase (Mer) operon. Host plants inoculated with the Hg-tolerant rhizobia strain possessing a Mer operon exhibited less reduction in nodule number and plant biomass. A smaller reduction in iron (Fe) distribution in nodules after Hg stress was measured using X-ray Fluorescence (XRF) imaging. Dual transcriptome (host plant and bacteria) analysis of nodules revealed a remarkable decrease in the number of differentially expressed genes (DEGs) and clustering of gene ontologies in plants inoculated with the Hg-tolerant rhizobia strain, including symbiosis related genes. This suggests the Hg-tolerant rhizobia strain has the potential to mitigate Hg stress in host plants. Furthermore, we observed genotype-by-genotype interactions between the high Hg accumulating plant genotype and the Hg-tolerant rhizobia strain. These findings provide insights into enhancing plant resilience in contaminated environments through optimizing legume-rhizobia interactions for heavy metal tolerance, as well as identification of genetic mechanisms that can reduce transport to edible plant parts. HighlightsO_LIGenetic variation in tolerance to heavy metals affects responses in plant tissues C_LIO_LISymbiosis with Hg tolerant rhizobia strain reduced stress response in host plant C_LIO_LIDual-transcriptomics in nodules identified metal stress and symbiosis responses C_LIO_LIGenotype by genotype interaction significantly affected symbiosis gene expression C_LIO_LIRhizobia strain possessing Mer operon suggests genetic basis affecting responses C_LI

plant biology↗

Local adaptation to mercury contamination by nitrogen-fixing rhizobia is driven by horizontal gene transfer, copy number, and enhanced gene expression

Mercury (Hg) is highly toxic and has the potential to cause severe health problems for foraging animals and humans when transported into edible plant parts. Soil rhizobia that form symbiosis with legumes may possess mechanisms to prevent heavy metal translocation from roots to shoots in plants by exporting metals from nodules or compartmentalizing metal ions inside nodules. Using long-read sequencing, we assembled the genomes of Sinorhizobium medicae and Rhizobium leguminosarum from the Almaden mercury mine in Spain with high variation in Hg-tolerance to identify structural and transcriptomic differences between low and high Hg-tolerant strains. While independent mercury reductase A (merA) genes are prevalent in -proteobacteria, Mer operons are rare and often vary in their gene organization. Our analyses identified multiple structurally conserved merA homologs in the genomes of S. medicae, including a dihydrolipoamide 2-oxoglutarate dehydrogenase (D2OD), but only the strains that possessed a Mer operon exhibited hypertolerance to Hg. Using RNAseq reads mapped to the unique genome assemblies, we found the Hg-tolerant strains which possessed a Mer operon, that nearly all genes within the operon were significantly up-regulated in response to Hg stress in free-living conditions and in nodules. In both free-living and nodule environments, we found the Hg-tolerant strains with a Mer operon exhibited the fewest number of DEGs in the genome, indicating a rapid and efficient detoxification of Hg2+ from the cells that reduced general stress responses to the Hg-treatment. Expression changes in S. medicae while inside of nodules showed that both rhizobia strain and host-plant tolerance affected the number of DEGs. Aside from Mer operon genes, nif genes which are involved in nitrogenase activity in S. medicae showed significant up-regulation in the most Hg-tolerant strain while inside the most Hg-accumulating host-plant, indicating a genotype-by-genotype interaction that influences nitrogen-fixation under stress conditions. Transfer of the Mer operon to non-tolerant strains resulted in an immediate increase in Hg tolerance, indicating that the operon is solely necessary to confer hypertolerance to Hg, despite paralogous merA genes present elsewhere in the genome. This study demonstrated that the Mer operon can be exchanged via horizontal gene transfer into non-tolerant rhizobia strains naturally and experimentally.

microbiology↗

Correlative single-cell X-ray tomography and X-ray fluorescence imaging

X-ray tomography (XRT) and X-ray fluorescence (XRF) imaging are two non-invasive imaging techniques to study cellular structures and chemical element distributions, respectively. However, correlative X-ray tomography and fluorescence imaging for the same cell have yet to be routinely realized due to challenges in sample preparation and X-ray radiation damage. Here we report an integrated experimental and computational workflow for achieving correlative multi-modality X-ray imaging of a single cell. The method consists of the preparation of radiation-resistant single-cell samples using live-cell imaging-assisted chemical fixation and freeze-drying procedures, targeting and labeling cells for correlative XRT and XRF measurement, and computational reconstruction of the correlative and multi-modality images. With XRT, cellular structures including the overall structure and intracellular organelles are visualized, while XRF imaging reveals the distribution of multiple chemical elements within the same cell. Our correlative method demonstrates the feasibility and broad applicability of using X-rays to understand cellular structures and the roles of chemical elements and related proteins in signaling and other biological processes.

cell biology↗

Genome-wide association study reveals complex genetic architecture of cadmium and mercury accumulation and tolerance traits in Medicago truncatula

Heavy metals are an increasing problem due to contamination from human sources that and can enter the food chain by being taken up by plants. Understanding the genetic basis of accumulation and tolerance in plants is important for reducing the uptake of toxic metals in crops and crop relatives, as well as for removing heavy metals from soils by means of phytoremediation. Following exposure of Medicago truncatula seedlings to cadmium (Cd) and mercury (Hg), we conducted a genome-wide association study using relative root growth (RRG) and leaf accumulation measurements. Cd and Hg accumulation and RRG had heritability ranging 0.44 - 0.72 indicating high genetic diversity for these traits. The Cd and Hg trait associations were broadly distributed throughout the genome, indicated the traits are polygenic and involve several quantitative loci. For all traits, candidate genes included several membrane associated ATP-binding cassette transporters, P-type ATPase transporters, several oxidative stress response genes and stress related UDP-glycosyltransferases. The P-type ATPase transporters and ATP-binding cassette protein-families have roles in vacuole transport of heavy metals, and our findings support their wide use in physiological plant responses to heavy metals and abiotic stresses. We also found associations between Cd RRG with the genes CAX3 and PDR3, two linked adjacent genes, and leaf accumulation of Hg associated with the genes NRAMP6 and CAX9. When plant genotypes with the most extreme phenotypes were compared, we found significant divergence in genomic regions using population genomics methods that contained metal transport and stress response gene ontologies. Several of these genomic regions show high linkage disequilibrium (LD) among candidate genes suggesting they have evolved together. Minor allele frequency (MAF) and effect size of the most significant SNPs was negatively correlated with large effect alleles being most rare. This is consistent with purifying selection against alleles that increase toxicity and abiotic stress. Conversely, the alleles with large affect that had higher frequencies that were associated with the exclusion of Cd and Hg. Overall, macroevolutionary conservation of heavy metal and stress response genes is important for improvement of forage crops by harnessing wild genetic variants in gene banks such as the Medicago HapMap collection.

plant biology↗

Experimental and field data support habitat expansion of the allopolyploid Arabidopsis kamchatica owing to parental legacy of heavy metal hyperaccumulation

Little empirical evidence is available whether allopolyploid species combine or merge adaptations of parental species. The allopolyploid species Arabidopsis kamchatica is a natural hybrid of the diploid parents A. halleri, a heavy metal hyperaccumulator, and A. lyrata, a non-hyperaccumulating species. Zinc and cadmium were measured in native soils and leaf tissues in natural populations, and in hydroponic cultures of A. kamchatica and A. halleri. Pyrosequencing was used to estimate homeolog expression ratios. Soils from human modified sites showed significantly higher Zn concentrations than non-modified sites. Leaf samples of A. kamchatica collected from 40 field localities had > 1,000 {micro}g g-1 Zn in over half of the populations, with significantly higher amounts of Zn concentrations in plants from human modified sites. In addition, serpentine soils were found in two populations. Most genotypes accumulated >3000 {micro}g g-1 of Zn in hydroponic culture with high variability among them. Genes involved in hyperaccumulation showed a bias in the halleri-derived homeolog. A. kamchatica has retained constitutive hyperaccumulation ability inherited from A. halleri. Our field and experimental data provides a compelling example in which the inheritance of genetic toolkits for soil adaptations likely contributed to the habitat expansion of an allopolyploid species.

evolutionary biology↗

Patterns of polymorphism, selection and linkage disequilibrium in the subgenomes of the allopolyploid Arabidopsis kamchatica

Although genome duplication is widespread in wild and crop plants, little is known about genome-wide selection due to the complexity of polyploid genomes. In allopolyploid species, the patterns of purifying selection and adaptive substitutions would be affected by masking owing to duplicated genes or homeologs as well as by effective population size. We resequenced 25 distribution-wide accessions of the allotetraploid Arabidopsis kamchatica, which has a relatively small genome size (450 Mb) derived from the diploid species A. halleri and A. lyrata. The level of nucleotide polymorphism and linkage disequilibrium decay were comparable to A. thaliana, indicating the feasibility of association studies. A reduction in purifying selection compared with parental species was observed. Interestingly, the proportion of adaptive substitutions () was significantly positive in contrast to the majority of plant species. A recurrent pattern observed in both frequency and divergence-based neutrality tests is that the genome-wide distributions of both subgenomes were similar, but the correlation between homeologous pairs was low. This may increase the opportunity of different evolutionary trajectories such as in the HMA4 gene involved in heavy metal hyperaccumulation.

evolutionary biology↗