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Williamson, K.

Publications and source records attributed to Williamson, K..

8 recordsLinked to original sources

The reproductive microbiome inhibits pollen germination in milkweed

We know very little about the reproductive microbiomes of plants. Microbes may play important roles in shaping pollination, fertilization, and seed production - processes which are important evolutionarily, ecologically, and agriculturally. Through a series of field and laboratory experiments, we show that the stigmatic microbiome in milkweeds influences the success of pollination. Isolation of individual bacterial and fungal taxa from stigmatic secretions allowed us to experimentally test their effects on pollen germination. These experiments demonstrate that individual taxa impact pollen differently, with many microbial taxa being neutral, but some being deleterious. Through isolation of microbes from the legs of pollinator insects we found that pollinators are a likely source for pollen-harmful bacterial taxa. Next, by utilizing a natural hybrid zone, we demonstrate species-specific responses to the stigmatic microbiome that be driving asymmetric patterns of gene-flow between species - with Asclepias exaltata being a better pollen host than A. syriaca. This study demonstrates that the reproductive microbiome is an underappreciated player in sexual reproduction of plants. Significance StatementThe results presented here demonstrate an important but previously unappreciated role of stigmatic microbes in plant sexual reproduction. This study demonstrates that the microbial taxa living in stigmatic secretions in milkweed impact pollen germination. We found that filtering out the microbes from stigmatic secretions of milkweed flowers dramatically increases pollen germination. Through isolating microbial taxa from both stigmatic secretions, and pollinator legs, we found that individual microbial taxa impact pollen differently, with many taxa being neutral, but some being deleterious. Finally, by utilizing a naturally occurring milkweed hybrid zone we demonstrated that microbial taxa in stigmatic secretions may be acting as asymmetric prezygotic barrier.

plant biology↗

A robustly rooted tree of eukaryotes reveals their excavate ancestry.

The eukaryote Tree of Life (eToL) depicts the relationships among all eukaryotic organisms; its root represents the last eukaryotic common ancestor (LECA) from which all extant complex lifeforms are descended. Locating this root is crucial for reconstructing the features of LECA, both as the endpoint of eukaryogenesis and the start-point for the evolution of the myriad complex traits underpinning the diversification of living eukaryotes. However, the position of the root remains contentious due to pervasive phylogenetic artefacts stemming from inadequate evolutionary models, poor taxon sampling, and limited phylogenetic signal. Here, we estimate the root of the eToL with unprecedented resolution based on a new, much larger, dataset of mitochondrial proteins which includes all known eukaryotic supergroups. Our comprehensive analyses with state-of-the-art phylogenetic models reveal that the eukaryotic root lies between two multi-supergroup assemblages: Opimoda+ and Diphoda+. Compellingly, this position is consistently supported across different models and robustness analyses. Notably, groups containing typical excavates are placed on both sides of the root, suggesting the complex features of the excavate cell architecture trace back to LECA. This study is the most comprehensive phylogenetic investigation of the eukaryote root to date, shedding light on the ancestral cells from which extant eukaryotes arose and providing a crucial framework for investigating the origin and evolution of canonical eukaryotic features.

evolutionary biology↗

Meteora sporadica, a protist with incredible cell architecture, is related to Hemimastigophora.

Kingdom-level branches are being added to the tree of eukaryotes at a rate approaching one per year, with no signs of slowing down1-4. Some are completely new discoveries, while others are morphologically unusual protists that were previously described but lacked molecular data. For example, Hemimastigophora are predatory protists with two rows of flagella that were known since the 19th century, but proved to represent a new deep-branching eukaryote lineage when phylogenomic analyses were conducted2. Meteora sporadica Hausmann et al. 20025 is a protist with a unique morphology and motility; cells glide over substrates along a long axis of anterior and posterior projections, and have a pair of lateral arms that swing back and forth. Originally, Meteora was described by light microscopy only, from a short-term enrichment of deep-sea sediment. A small subunit ribosomal RNA (SSU rRNA) sequence was reported recently, but the phylogenetic placement of Meteora remained unresolved6. Here, we investigated two cultivated Meteora sporadica isolates in detail. Transmission electron microscopy showed that the anterior-posterior projections are supported by microtubules originating from a cluster of subnuclear MTOCs. Likewise, the arms are supported by microtubules, and neither have a flagellar axoneme-like structure. Sequencing the mitochondrial genome showed this to be amongst the most gene-rich known, outside jakobids. Remarkably, phylogenomic analyses of 254 nuclear protein-coding genes robustly support a close relationship with Hemimastigophora. Our study suggests that Meteora and Hemimastigophora together represent a morphologically diverse supergroup, and thus are important for resolving the tree of eukaryote life and early eukaryote evolution.

evolutionary biology↗

Fate-mapping lymphocyte clones and their progenies from induced antigen-signals identifies temporospatial behaviours of T cells mediating tolerance

Tissue homeostasis is maintained by the behaviours of lymphocyte clones responding to antigenic triggers in the face of pathogen, environmental, and developmental challenges. Current methodologies for tracking the behaviour of specific lymphocytes identify clones of a defined antigen-receptor--antigen binding affinity. However, lymphocytes can receive antigenic signals from undefined or endogenous antigens, and the strength of each signal, even for the same lymphocyte, varies with accessory signalling, across tissues and across time. We present a novel fate-mapping mouse, that, by tracking lymphocyte clones and their progenies from induced antigen signals, overcomes these hurdles and provides novel insights into the maintenance of tissue homeostasis. We demonstrate the systems use by investigating the maintenance of localised T cell tolerance in tumour immunity. In a murine tumour model, our system reveals how Tregs differentiate to a reversible, tolerance inducing state within the tumour, and recirculate, while CD8+ T cells failing to recirculate, differentiate to an increasingly exhausted, tolerant state in the tumour. These contrasting T cell behaviours provide means by which immunity can tolerate a particular anatomical niche while maintaining systemic clonal protection. Our system can thus explore lymphocyte behaviours that cannot be tracked by previous methods and will therefore provide novel insights into the fundamental mechanisms underlying immunitys role in tissue homeostasis.

immunology↗

The heterogeneous distribution of extracellular adenosine reveals a myeloid-dependent axis, shaping the immunosuppressive microenvironment in pancreatic ductal adenocarcinoma

The prognosis for patients with pancreatic ductal adenocarcinoma (PDAC) remains extremely poor. It has been suggested that the adenosine pathway contributes to the ability of PDAC to evade the immune system and its resistance to immunotherapies (Immuno-Oncology Therapy, IOT), by generating extracellular adenosine (eAdo). Using genetically engineered allograft models of PDAC in syngeneic mice with differential immune infiltration and response to IOT, we showed enrichment of the adenosine pathway in tumour-infiltrating immune cells (in particular, myeloid populations). Using MS-Imaging, we showed that extracellular adenosine distribution is heterogeneous in tumours, with high concentrations in hypoxic margins that surround necrotic areas, associated with a rich myeloid infiltration, demonstrated using Imaging Mass Cytometry (IMC). Pro-tumorigenic M2 macrophages express high levels of the Adora2a receptor; particularly in the IOT resistant model. Blocking the in vivo formation and function of eAdo (Adoi), using a combination of anti-CD73 antibody and an Adora2a inhibitor slowed tumour growth and reduced metastatic burden. In addition, blocking the adenosine pathway improved the efficacy of combinations of cytotoxic agents or immunotherapy. Finally, Adoi remodelled the tumour microenvironment (TME), as evidenced by reduced infiltration of M2 macrophages and Tregs. RNAseq analysis showed that genes related to immune modulation, hypoxia and tumour stroma were downregulated following Adoi and a specific adenosine signature derived from this is associated with a poorer prognosis in patients with PDAC. The formation of eAdo appears to promote the development of the immunosuppressive TME in PDAC, contributing to its resistance to conventional and novel therapies. Therefore, inhibition of the adenosine pathway may represent a strategy to modulate the stroma and improve therapy response in patients with PDAC.

cancer biology↗

Integrating genomics and multi-platform metabolomics enables metabolite QTL detection in breeding-relevant apple germplasm

Research ConductedApple (Malus x domestica) has commercial and nutritional value, but breeding constraints of tree crops limit varietal improvement. Marker-assisted selection minimizes these drawbacks, but breeders lack applications for targeting fruit phytochemicals. To understand genotype-phytochemical associations in apples, we have developed a high-throughput integration strategy for genomic and multi-platform metabolomics data. Methods124 apple genotypes, including members of three pedigree-connected breeding families alongside diverse cultivars and wild selections, were genotyped and phenotyped. Metabolite genome-wide association studies (mGWAS) were conducted with 10,000 single nucleotide polymorphisms and phenotypic data acquired via LC-MS and 1H NMR untargeted metabolomics. Putative metabolite quantitative trait loci (mQTL) were then validated via pedigree-based analyses (PBA). Key ResultsUsing our developed method, 519, 726, and 177 putative mQTL were detected in LC-MS positive and negative ionization modes and NMR, respectively. mQTL were indicated on each chromosome, with hotspots on linkage groups 16 and 17. A chlorogenic acid mQTL was discovered on chromosome 17 via mGWAS and validated with a two-step PBA, enabling discovery of novel candidate gene-metabolite relationships. Main ConclusionComplementary data from three metabolomics approaches and dual genomics analyses increased confidence in validity of compound annotation and mQTL detection. Our platform demonstrates the utility of multi-omics integration to advance data-driven, phytochemicalbased plant breeding.

plant biology↗

Moderate and intensive mechanical loading differentially modulate the phenotype of tendon stem/progenitor cells in vivo

To examine the differential mechanobiological responses of specific resident tendon cells, we developed an in vivo model of whole-body irradiation followed by injection of either tendon stem/progenitor cells (TSCs) expressing green fluorescent protein (GFP-TSCs) or mature tenocytes expressing GFP (GFP-TNCs) into the patellar tendons of wild type C57 mice. Injected mice were subjected to moderate treadmill running (MTR) and intensive treadmill running (ITR). In MTR mice, both GFP-TSC and GFP-TNC injected tendons maintained normal cell morphology with elevated expression of tendon related markers collagen I and tenomodulin. In ITR mice injected with GFP-TNCs, cells also maintained an elongated shape similar to the shape found in normal/untreated control mice, as well as elevated expression of tendon related markers. However, ITR mice injected with GFP-TSCs showed typical tendinopathic changes, such as cell morphology transitioning to a round shape, elevated chondrogenic differentiation, and increased gene expression of non-tenocyte related genes LPL, Runx-2, and SOX-9. Increased gene expression data was supported by immunostaining showing elevated expression of SOX-9, Runx-2, and PPAR{gamma}. This study provides evidence that while MTR maintains tendon homeostasis by promoting the differentiation of TSCs into tenocytes, ITR may cause the development of tendinopathy by inducing non-tenocyte differentiation of TSCs, thus leading to the presence of non-tendinous tissues in tendon.

cell biology↗

Active synthesis of collagen (I) homotrimer and matrisomal proteins in Dupuytren's fibrosis

Dupuytrens disease is a common fibroproliferative disease of the palmar fascia of the hand with advanced cases treated surgically. Anti-tumour necrosis factor (TNF) injection has undergone phase 2 trials and may be effective in slowing early-stage disease progression. Here we sought to determine how new synthesis of type I collagen in Dupuytrens differs from normal palmar fascia samples and to analyse the role of TNF in aberrant collagen synthesis. Model non-fibrotic, but fibrous connective tissues, were used to analyse active type I collagen protein synthesis in development, ageing and degenerative disease, where it was restricted to early development and ruptured tissue. Dupuytrens tissue was shown to actively synthesise type I collagen, including abnormal type I collagen homotrimer. TNF- reduced COL1A2 gene expression only in the presence of serum in 2D cell culture and had opposing effects on collagen protein production in the presence or absence of serum. TNF- had only limited effects in 3D tendon-like constructs. Anti-TNF did not reduce type I collagen synthesis in 3D tendon-like constructs or prevent type I collagen homotrimer synthesis in Dupuytrens tissue. Hence, modulation of the TNF- pathway in Dupuytrens disease is unlikely to prevent the pathological collagen accumulation that is characteristic of fibrosis.

cell biology↗