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Weigel, D.

Publications and source records attributed to Weigel, D..

At least 37 records · Page 2Linked to original sources

Pangenomic context reveals the extent of intraspecific plant NLR evolution

Nucleotide-binding leucine-rich repeat (NLR) proteins are a major component of the plant immune system, which directly or indirectly detect molecular signals of pathogen invasion. Despite their critical role, the processes by which NLR genes diversify remain poorly characterised due to the extraordinary sequence, structural, and regulatory variability of NLRs, even among closely related individuals. To understand the evolution of NLR diversity in Arabidopsis thaliana, we leverage graph-based methods to define pangenomic NLR neighbourhoods in 17 genetically diverse genomes. We integrate full-length transcript and transposable element information to exhaustively annotate all intact and degraded NLRs, enabling exploration of the processes that underpin the birth, death and maintenance of NLR diversity within a species. Our main finding is that many uncorrelated mutational processes create NLR diversity, and that there is no single metric that captures on its own the true extent of NLR structural and sequence variation. This immense diversity in plant immune system diversification allows populations to survive the constant onslaught of pathogens, not unlike vertebrate adaptive immunity, where variation is also generated by a variety of complementary mechanisms, albeit at the level of individuals.

plant biology↗

Field conditions greatly modify a major growth-defense tradeoff in Arabidopsis thaliana

When plants defend themselves from pathogens, this often comes with a trade-off: the same genes that protect a plant from disease can also reduce its growth and fecundity in the absence of pathogens. One protein implicated in a major growth-defense trade-off in the plant Arabidopsis thaliana is ACCELERATED CELL DEATH 6 (ACD6), an ion channel that modulates salicylic acid (SA) synthesis to potentiate a wide range of defenses. Wild plant populations maintain significant functional variation in the ACD6 gene, with some alleles making the protein hyperactive. In the greenhouse, plants with hyperactive ACD6 alleles are resistant to diverse pathogens, yet are of smaller stature, their leaves senesce earlier, and they set fewer seeds. We hypothesized that such hyperactive alleles would not only affect the growth of microbial pathogens, but also more generally leaf microbiome assembly in the wild. To test this, we grew plants with hyperactive, standard, and defective ACD6 alleles in the same field-collected soil, both in climate-controlled conditions and outdoors. We surveyed visual phenotypes, gene expression, hormone levels, seed production, and the microbiome in each environment. To our surprise, we discovered that mature field plants, in stark contrast to greenhouse plants, were unaffected by their ACD6 genotype, suggesting that additional abiotic and/or microbial signals present outdoors - but not in the greenhouse - greatly modulate ACD6 activity.

plant biology↗

Cryptic Variation in Adaptive Phenotypes Revealed by Panspecific flc Mutants

The study of mutants is one of the best tools for understanding the genetic basis of phenotypes that contribute to adaptation. Oddly, mutant analyses are almost always restricted to single genetic backgrounds and findings therefore can not be easily generalized. A case in point is the key regulator of flowering, FLOWERING LOCUS C (FLC), which has been inferred to explain much of the flowering time variation in Arabidopsis thaliana, yet mutants have been examined in very few backgrounds. We have previously established a set of panspecific flc mutants in 62 accessions of A. thaliana (Ruffley et al. 2024). Here, we investigate how genetic background modulates mutant effects on flowering and vegetative traits, as well as on physiology and transcriptomes. Time to onset of flowering in the genome-edited flc lines was reduced by up to 83%, but considerable variation remained. Genetic mapping showed that extremely early flowering in the absence of FLC was mostly explained by natural variation at the known FLC target FT, with additional contribution from loci colocalizing with FLC. Prognostic sequence analyses of accessions did not suggest that extremely-early combinations of engineered flc and natural FT alleles would be deleterious, yet extremely early flowering accessions are not represented in the commonly used collections of A. thaliana accessions. To test whether this discrepancy could be due to sampling bias, we undertook a focused collection effort of wild populations in Southern Italy, which confirmed that extremely early flowering accessions exist in natural populations. Apart from its specific role in flowering time regulation, FLC has pleiotropic effects on other ecophysiological traits such as growth, and these were also dependent on the genetic background, which was further supported by transcriptomic comparisons. Together we conclude that the various roles of FLC have greatly diversified in different genetic backgrounds. Our study provides a proof-of-concept on how analysis of panspecific mutants can reveal the true extent of genetic networks in which a focal gene participates in.

plant biology↗

Towards an unbiased characterization of genetic polymorphism

Our view of genetic polymorphism is shaped by methods that provide a limited and reference-biased picture. Long-read sequencing technologies, which are starting to provide nearly complete genome sequences for population samples, should solve the problem--except that characterizing and making sense of non-SNP variation is difficult even with perfect sequence data. Here we analyze 27 genomes of Arabidopsis thaliana in an attempt to address these issues, and illustrate what can be learned by analyzing whole-genome polymorphism data in an unbiased manner. Estimated genome sizes range from 135 to 155 Mb, with differences almost entirely due to centromeric and rDNA repeats that are difficult to assemble. The completely assembled chromosome arms comprise roughly 120 Mb in all accessions, but are full of structural variants, largely due to transposable elements. Even with only 27 accessions, a pan-genome coordinate system that includes the resulting variation ends up being [~] 70% larger than the size of any one genome. Our analysis reveals an incompletely annotated mobile-ome: we not only detect several novel TE families, but also find that existing TE annotation is a poor predictor of elements that have recently been active. In contrast to this, the genic portion, or "gene-ome", is highly conserved. By annotating each genome using accession-specific transcriptome data, we find that 13% of all (non-TE) genes are segregating in our 27 accessions, but most of these are transcriptionally silenced. Finally, we show that with short-read data we previously massively underestimated genetic variation of all kinds, including SNPs--mostly in regions where short reads could not be mapped reliably, but also where reads were mapped incorrectly. We demonstrate that SNP-calling errors can be biased by the choice of reference genome, and that RNA-seq and BS-seq results can be strongly affected by mapping reads only to a reference genome rather than to the genome of the assayed individual. In conclusion, while whole-genome polymorphism data pose tremendous analytical challenges, they also have the potential to revolutionize our understanding of genome evolution.

genomics↗

Gretl - Variation GRaph Evaluation TooLkit

Motivation: As genome graphs are powerful data structures for representing the genetic diversity within populations, they can help identify genomic variations that traditional linear references miss, but their complexity and size makes the analysis of genome graphs challenging. We sought to develop a genome graph analysis tool that helps these analyses to become more accessible by addressing the limitations of existing tools. Specifically, we improve scalability and user-friendliness, and we provide many new statistics for graph evaluation. Results: We developed an efficient, comprehensive, and integrated tool, gretl, to analyse genome graphs and gain insights into their structure and composition by providing a wide range of statistics. gretl can be utilised to evaluate different graphs, compare the output of graph construction pipelines with different parameters, as well as perform an in-depth analysis of individual graphs, including sample-specific analysis. With the assistance of gretl, novel patterns of genetic variation and potential regions of interest can be identified, for later, more detailed inspection. We demonstrate that gretl outperforms other tools in terms of speed, particularly for larger genome graphs. Availability and implementation: gretl is implemented in Rust. Commented source code is available under MIT licence at https://github.com/MoinSebi/gretl. Examples of how to run gretl are provided in the documentation. Several Jupyter notebooks are part of the repository and can help visualise gretl results.

bioinformatics↗

TIPP_plastid: A user-friendly tool for de novo assembly of plastid genomes

Plant cells have two major organelles with their own genomes: chloroplasts and mitochondria. While chloroplast genomes tend to be structurally conserved, the mitochondrial genomes of plants, which are much larger than those of animals, are characterized by complex structural variation. We introduce TIPPo, a user-friendly, reference-free assembly tool that uses PacBio high-fidelity (HiFi) long-read data and that does not rely on genomes from related species or nuclear genome information for the assembly of organellar genomes. TIPPo employs a deep learning model for initial read classification and leverages k-mer counting for further refinement, significantly reducing the impact of nuclear insertions of organellar DNA on the assembly process. We used TIPPo to completely assemble a set of 54 complete chloroplast genomes. No other tool was able to completely assemble this set. TIPPo is comparable to PMAT in assembling mitochondrial genomes from most species, but does achieve even higher completeness for some species. We also used the assembled organelle genomes to identify instances of nuclear plastid DNA (NUPTs) and nuclear mitochondrial DNA (NUMTs) insertions. The cumulative length of NUPTs/NUMTs positively correlates with the size of the nuclear genome, suggesting that insertions occur stochastically. NUPTs/NUMTs show predominantly C:G to T:A changes, with the mutated cytosines typically found in CG and CHG contexts, suggesting that degradation of NUPT and NUMT sequences is driven by the known elevated mutation rate of methylated cytosines. siRNA loci are enriched in NUPTs and NUMTs, consistent with the RdDM pathway mediating DNA methylation in these sequences.

genomics↗

Atlas of telomeric repeat diversity in Arabidopsis thaliana

Telomeric repeat arrays at the ends of chromosomes are highly dynamic but their repetitive nature and technological limitations have made it difficult to assess the variation in genome diversity surveys. Here we present a comprehensive characterization of the sequence variation immediately adjacent to the canonical telomeric repeat arrays at the very ends of chromosomes in 49 genetically diverse Arabidopsis thaliana accessions. We reveal several types of distinct telomeric repeat units and identify evolutionary processes such as local homogenization and higher-order repeat formation that shape diversity of chromosome ends. The identification of segmental duplications and at least one recombination event suggests a plausible history of telomerase-independent maintenance generation. By comparing largely isogenic samples, we are able to determine variant telomeric repeat number variation at both the germline and somatic levels. Analysis of haplotype structure uncovers chromosome end-specific as well as genetic group-specific patterns in telomeric repeat diversity and provides evidence for linkage disequilibrium between repeat arrays and their adjacent non-coding regions. Together, our findings illustrate the fine-scale telomeric repeat spectrum in A. thaliana, expanding our knowledge of the evolution of chromosome ends.

genomics↗

Diploid genome assembly of the Malbec grapevine cultivar enables haplotype-aware analysis of transcriptomic differences underlying clonal phenotypic variation

1.To preserve their varietal attributes, established grapevine cultivars (Vitis vinifera L. ssp. vinifera) must be clonally propagated, due to their highly heterozygous genomes. Malbec is a France-originated cultivar appreciated for producing high-quality wines, and is the offspring of cultivars Prunelard and Magdeleine Noire des Charentes. Here, we have built a diploid genome assembly of Malbec, after trio binning of PacBio long reads into the two haploid complements inherited from either parent. After haplotype-aware deduplication and corrections, complete assemblies for the two haplophases were obtained with very low haplotype switch-error rate (<0.025). The haplophases alignment identified >25% of polymorphic regions. Gene annotation including RNA-seq transcriptome assembly and ab initio prediction evidence resulted in similar gene model numbers for both haplophases. The annotated diploid assembly was exploited in the transcriptomic comparison of four clonal accessions of Malbec that exhibited variation in berry composition traits. Analysis of the ripening pericarp transcriptome using either haplophases as reference yielded similar results, although some differences were observed. Particularly, among the differentially expressed genes identified only with the Magdeleine-inherited haplotype as reference, we observed an over-representation of hypothetically hemizygous genes. The higher berry anthocyanin content of clonal accession 595 was associated with increased abscisic acid responses, possibly leading to the observed overexpression of phenylpropanoid metabolism genes and deregulation of genes associated to abiotic stress response. Overall, the results highlight the importance of producing diploid assemblies to fully represent the genomic diversity of highly heterozygous woody crop cultivars and to unveil the molecular bases of clonal phenotypic variation.

genomics↗

Transposon-triggered epigenetic chromatin dynamics modulate EFR-related pathogen response

Infectious diseases drive the evolution of wild plants and impact yield in crop plants. Like animals, plants can sense biotic threats via conserved pathogen-associated patterns (PAMPs). Since an overly robust immune response can harm plants, understanding the mechanisms for tuning defense responses to the appropriate level is vital as we endeavor to develop pathogen-resistant crops. In this paper, we studied the Arabidopsis pattern recognition receptor (PRR) EFR, which senses bacterial EF-Tu. An inverted-repeat transposon (Ea-IR) between EFR and the neighboring XI-k locus controls local chromatin organization, promoting the formation of a repressive chromatin loop. Upon pathogen infection, the chromatin landscape around EFR and Xl-k dynamically changes to allow for increased EFR transcription. Chromatin opening facilitates the passage of RNA polymerase II across the neighboring XI-k gene termination site, leading to a longer XI-k transcript that includes Ea-IR sequences. Dicer-like (DCL) enzymes process the longer Xl-k transcript into small RNAs (sRNAs), which reset chromatin topology to a repressive state, attenuating, in turn, the immune response, reminiscent of attenuation of receptor signaling in other systems. From an evolutionary point of view, we found that natural Arabidopsis accessions missing Ea-IR have a constitutive "EFR-open" chromatin configuration that correlates with higher basal EFR levels and higher background resistance to pathogens. Collectively, our study offers evidence for a scenario in which a transposon, chromatin organization, and gene expression interact to fine-tune immune responses, both during the course of infection and in the course of evolution. Similar gene-associated IRs in crops could provide valuable non-coding targets for genome editing or assisted plant breeding programs.

plant biology↗

Widespread transcriptional regulation from within transcribed regions in plants

Much of what we know about eukaryotic transcription stems from animals and yeast, however, plants have evolved separately for 1.6 billion years, leaving ample time for divergence in transcriptional regulation. Here, we set out to elucidate fundamental properties of cis-regulatory sequences in plants. Using massively parallel reporter assays across four plant species, we demonstrate the central role of sequences downstream of the transcription start site (TSS) in transcriptional regulation. Unlike animal enhancers that are position-independent, plant regulatory elements depend on their position, as altering their location relative to the TSS significantly affects transcription. We highlight the importance of the region downstream of the TSS in regulating transcription by identifying a DNA motif that is conserved across vascular plants and is sufficient to enhance gene expression in a dose-dependent manner. The identification of a large number of position-dependent enhancers points to fundamental differences in gene regulation between plants and animals.

systems biology↗

An atypical endomembrane localized CNL-type immune receptor with a conserved deletion in the N-terminal signaling domain functions in cell death and immunity

Plants have evolved intracellular nucleotide-binding leucine rich repeat receptors (NLRs) to induce a superior immune response. Upon activation, coiled-coil (CC) domain containing NLRs (CNLs) oligomerize to form apparent cation channels that promote calcium influx and cell death induction, with the alpha-1 helix of the individual CC domains penetrating membranes. Some members of a monophyletic subclass of CNLs, the ancient and autonomous NLRs (ANLs), are characterized by putative N- myristoylation and S-acylation sites at the N-terminus of their CCG10/GA domain, potentially mediating permanent membrane association. Whether these Potentially Membrane Localized NLRs (PMLs) mediate cell death upon activation in a similar way as reported for other CNLs has been unknown. We integrated phylogenetic, cell- biological, and functional studies to uncover the cell death function of an atypical but conserved Arabidopsis PML, PML5, which has a 113 amino acid deletion in its CCG10/GA domain. Active PML5 oligomers localize in Golgi membranes and the tonoplast, changes vacuolar morphology, and induce cell death, with the short N- terminus being sufficient for cell death. Mutant analysis supports a potential key role of PMLs in plant immunity. Similar deletions as in Arabidopsis PML5 are found in several Brassicales paralogs, pointing to the evolutionary importance of this innovation. PML5 is thus a naturally occurring CNL variant with a minimal signaling domain and its further study should help in understanding the functional importance of this minimal domain for NLR signaling.

plant biology↗

Structural variation and DNA methylation shape the centromere-proximal meiotic crossover landscape in Arabidopsis

BackgroundCentromeres load kinetochore complexes onto chromosomes, which mediate spindle attachment and allow segregation during cell division. Although centromeres perform a conserved cellular function, their underlying DNA sequences are highly divergent within and between species. Despite variability in DNA sequence, centromeres are also universally suppressed for meiotic crossover recombination, across eukaryotes. However, the genetic and epigenetic factors responsible for suppression of centromeric crossovers remain to be completely defined. ResultsTo explore the centromere-proximal recombination landscape, we mapped 14,397 crossovers against fully assembled Arabidopsis thaliana genomes. A. thaliana centromeres comprise megabase-scale satellite repeat arrays that load nucleosomes containing the CENH3 histone variant. Each chromosome possesses a structurally polymorphic 3-4 megabase region where crossovers were absent, that includes the satellite arrays, flanked by 1-2 megabase low-recombination zones. The recombination-suppressed regions are enriched for Gypsy/Ty3 retrotransposons, and additionally contain expressed genes with high genetic diversity that initiate meiotic recombination, yet do not crossover. We mapped crossovers at high-resolution in proximity to CEN3, which resolved punctate centromere-proximal hotspots that overlapped gene islands embedded in heterochromatin. Centromeres are densely DNA methylated and the recombination landscape was remodelled in DNA methylation mutants. We observed that the centromeric low-recombining zones decreased and increased crossovers in CG (met1) and non-CG (cmt3) mutants, respectively, whereas the core non recombining zones remained suppressed. ConclusionOur work relates the genetic and epigenetic organisation of the A. thaliana centromeres and flanking pericentromeric heterochromatin to the zones of crossover suppression that surround the CENH3-occupied satellite repeat arrays.

genomics↗

Transposon dynamics in the emerging oilseed crop Thlaspi arvense

Genome evolution is partly driven by the mobility of transposable elements (TEs) which often leads to deleterious effects, but their activity can also facilitate genetic novelty and catalyze local adaptation. We explored how the intraspecific diversity of TE polymorphisms is shaping the broad geographic success and adaptation capacity of the emerging oil crop Thlaspi arvense. We achieved this by classifying the TE inventory of this species based on a high-quality genome assembly, age estimation of retrotransposon TE families and a comprehensive assessment of their mobilization potential. Our survey of TE insertion polymorphisms (TIPs) captured 280 accessions from 12 regions across the Northern hemisphere. We quantified over 90,000 TIPs, with their distribution mirroring genetic differentiation as measured by single nucleotide polymorphisms (SNPs). The number and types of mobile TE families vary substantially across populations, but there are also shared patterns common to all accessions. We found that Ty3/Athila elements are the main drivers of TE diversity in T. arvense populations, while a single Ty1/Alesia lineage might be particularly important for molding transcriptome divergence. We further observed that the number of retrotransposon TIPs is associated with variation at genes related to epigenetic regulation while DNA transposons are associated with variation at a Heat Shock Protein (HSP19). We propose that the high rate of mobilization activity can be harnessed for targeted gene expression diversification, which may ultimately present a toolbox for the potential use of transposition in breeding and domestication of T. arvense.

genomics↗

The immune receptor SNC1 monitors helper NLRs targeted by a bacterial effector

Plants deploy intracellular receptors to counteract pathogen effectors that suppress cell-surface receptor-mediated immunity. To what extent pathogens manipulate also immunity mediated by intracellular receptors, and how plants tackle such manipulation, remains unknown. Arabidopsis thaliana encodes three very similar ADR1 class helper NLRs (ADR1, ADR1-L1 and ADR1-L2), which play key roles in plant immunity initiated by intracellular receptors. Here, we report that Pseudomonas syringae AvrPtoB, an effector with E3 ligase activity, can suppress ADR1-L1- and ADR1-L2-mediated cell death. ADR1, however, evades such suppression by diversification of two ubiquitination sites targeted by AvrPtoB. The intracellular sensor NLR SNC1 interacts with and guards the CCR domains of ADR1-L1 and ADR-L2. Removal of ADR1-L1 and ADR1-L2 or delivery of AvrPtoB activates SNC1, which then signals through ADR1 to trigger immunity. Our work not only uncovers the long sought-after physiological function of SNC1 in pathogen defense, but also that reveals how plants can use dual strategies, sequence diversification and a multiple layered guard-guardee system, to counteract pathogen attack on core immunity functions.

plant biology↗

The genetic and physiological basis of Arabidopsis thaliana tolerance to Pseudomonas viridiflava

O_LIThe opportunistic pathogen Pseudomonas viridiflava colonizes more than fifty agricultural crop species and is the most common Pseudomonas in the phyllosphere of European Arabidopsis thaliana populations. Belonging to the P. syringae complex, it is genetically and phenotypically distinct from well-characterized P. syringae sensu stricto. Despite its prevalence, we lack knowledge of how A. thaliana responds to its native isolates at the molecular level. Here, we characterize the host response in an A. thaliana - P. viridiflava pathosystem. C_LIO_LIWe measured host and pathogen growth in axenic infections, and used immune mutants, transcriptomics, and metabolomics to determine defense pathways influencing susceptibility to P. viridiflava infection. C_LIO_LIInfection with P. viridiflava increased jasmonic acid (JA) levels and the expression of ethylene defense pathway marker genes. The immune response in a susceptible host accession was delayed compared to a tolerant one. Mechanical injury rescued susceptibility, consistent with an involvement of JA. C_LIO_LIThe JA/ethylene pathway is important for suppression of P. viridiflava, yet suppression capacity varies between accessions. Our results shed light on how A. thaliana can suppress the ever-present P. viridiflava, but further studies are needed to understand how P. viridiflava evades this suppression to spread broadly across A. thaliana populations. C_LI

plant biology↗

miR472 deficiency enhances Arabidopsis thaliana defence without reducing seed production.

After having co-existed in plant genomes for at least 200 million years, the products of microRNA (miRNA) and Nucleotide-Binding Leucine Rich Repeat protein (NLR) genes formed a regulatory relationship in the common ancestor of modern gymnosperms and angiosperms. From then on, DNA polymorphisms occurring at miRNA target sequences within NLR transcripts must have been compensated by mutations in the corresponding mature miRNA sequence, therefore maintaining that regulatory relationship. The potential evolutionary advantage of such regulation remains largely unknown and might be related to two mutually non-exclusive scenarios: miRNA-dependent regulation of NLR levels might prevent defence mis-activation with negative effects on plant growth and reproduction; or reduction of active miRNA levels in response to pathogen derived molecules (PAMPS and silencing suppressors) might rapidly release otherwise silent NLR transcripts for rapid translation and thereby enhance defence. Here, we used Arabidopsis thaliana plants deficient for miR472 function to study the impact of releasing its NLR targets on plant growth and reproduction and on defence against the fungal pathogen Plectospharaella cucumerina. We show that miR472 regulation has a dual role, participating both in the tight regulation of plant defence and growth. MIM472 lines, with reduced active miR472, are more resistant to pathogens and, correlatively, have reduced relative growth compared to wild-type plants. However, despite MIM472 lines flower at the same time than their wild-type, the end of their reproductive phase is delayed, and they exhibit higher adult biomass, resulting in similar seed yield as the wild-type. Our study highlights how negative consequences of defence activation might be compensated by changes in phenology and that miR472 reduction is an integral part of plant defence responses.

plant biology↗

Report of mutation biases mirroring selection in Arabidopsis thaliana unlikely to be entirely due to variant calling errors

It has recently been proposed that the uneven distribution of epigenomic features might facilitate reduced mutation rate in constrained regions of the Arabidopsis thaliana genome, even though previous work had shown that it would be difficult for reduced mutation rates to evolve on a gene-by-gene basis. A solution to Lynchs equations for the barrier imposed by genetic drift on the evolution of targeted hypomutation can, however, come from epigenomic features that are enriched in certain portions of the genome, for example, coding regions of essential genes, and which simultaneously affect mutation rate. Such theoretical considerations draw on what is known about DNA repair guided by epigenomic features. A recent publication challenged these conclusions, because several mutation data sets that support a lower mutation rate in constrained regions suffered from variant calling errors. Here we show that neither homopolymer errors nor elevated mutation rates at transposable elements are likely to entirely explain reported mutation rate biases. Observed mutation biases are also supported by a meta-analysis of several independent germline mutation data sets, with complementary experimental data providing a mechanistic basis for reduced mutation rate in genes and specifically in essential genes. Finally, models derived from the drift-barrier hypothesis demonstrate that mechanisms linking DNA repair to chromatin marks and other epigenomic features can evolve in response to second-order selection on emergent mutation biases.

evolutionary biology↗

Spatially resolved host-bacteria-fungi interactomes via spatial metatranscriptomics

All multicellular organisms are closely associated with microbes, which have a major impact on the health of their host. The interactions of microbes among themselves and with the host take place at the microscale, forming complex networks and spatial patterns that are rarely well understood due to the lack of suitable analytical methods. The importance of high-resolution spatial molecular information has become widely appreciated with the recent advent of spatially resolved transcriptomics. Here, we present Spatial metaTranscriptomics (SmT), a sequencing-based approach that leverages 16S/18S/ITS/poly-d(T) multimodal arrays for simultaneous host transcriptome- and microbiome-wide characterization of tissues at 55-{micro}m resolution. We showcase SmT in outdoor-grown Arabidopsis thaliana leaves as a model system, and found tissue-scale bacterial and fungal hotspots. By network analysis, we study inter- and intra-kingdom spatial interactions among microbes, as well as the host response to microbial hotspots. SmT is a powerful new strategy that will be pivotal to answering fundamental questions on host-microbiome interplay.

genomics↗