Biology subjects

Jenkins, S.

Publications and source records attributed to Jenkins, S..

8 recordsLinked to original sources

bioRxiv2026

Polyphyletic origin and horizontal exchange drive the emergence of a novel resistance-breaking Fusarium oxysporum f. sp. lactucae race

Fusarium oxysporum f. sp. lactucae (Fola), the cause of lettuce fusarium wilt, poses an increasing threat to global production due to the rapid emergence of resistance breaking isolates. However, the evolutionary origins and mechanisms underpinning this diversification remain poorly understood. We characterised 103 Fola isolates using molecular profiling, selecting ten key isolates for long-read whole-genome sequencing and performed in planta virulence assays for selected isolates. This included the first assemblies for Fola2 and Fola3, recent resistance-breaking variants and a highly divergent isolate from France designated as a putative novel race, FolaX. Phylogenomic analysis revealed that Fola is polyphyletic, with lettuce pathogenicity acquired independently across divergent F. oxysporum clades. Despite this, all lineages share a conserved "PanFola" effector set with near-identical sequences, indicating extensive horizontal gene transfer. Resistance-breaking Fola variants within established races were linked to copy number variations and targeted deletions, such as the loss of the SIX8/PSE1 locus in Fola4+. Conversely, FolaX possessed a divergent core genome and a chimeric accessory genome derived from multiple Fola lineages via segmental chromosome transfer and transposon-mediated reshuffling. Our findings highlight the remarkable evolutionary plasticity of Fola and the need for breeding strategies that address the dynamic nature of effector repertoires.

pathology↗

bioRxiv2026

A broad-host-range Rhizobium rhizogenes strain enables transient expression across diverse crops and establishes functional assays in faba bean

Agrobacterium-mediated transient expression has revolutionized plant research, enabling numerous landmark discoveries across diverse areas of plant biology. Yet this powerful approach remains largely confined to solanaceous species, leaving most economically important crop families without a comparable rapid assay platform. Here, we show that an engineered Rhizobium rhizogenes strain, AS109, mediates efficient transient expression across diverse dicot species spanning multiple taxonomic families, consistently outperforming commonly used laboratory agrobacterial strains. Leveraging the broad host range of AS109, we establish a suite of functional assays in faba bean (Vicia faba), including protein localisation, RNA interference-mediated gene silencing, cell-surface elicitor recognition screens, nucleotide-binding leucine-rich repeat receptor (NLR) activation, and infection cell biology at the host-pathogen interface. We further demonstrate that both singleton NLRs and sensor-helper NLR pairs from Solanaceae retain effector recognition and cell death activity when transferred into faba bean, establishing a rapid platform for evaluating cross-family transferability of disease-resistance genes. AS109 thus provides an accessible and versatile chassis for functional genomics in non-model crops, bridging the widening gap between hypothesis generation and experimental validation across diverse plant species.

plant biology↗

bioRxiv2024

Dissecting the oncogenic mechanisms of POT1 cancer mutations through deep scanning mutagenesis

Mutations in the shelterin protein POT1 are associated with diverse cancers, but their role in cancer progression remains unclear. To resolve this, we performed deep scanning mutagenesis in POT1 locally haploid human stem cells to assess the impact of POT1 variants on cellular viability and cancer-associated telomeric phenotypes. Though POT1 is essential, frame-shift mutants are rescued by chemical ATR inhibition, indicating that POT1 is not required for telomere replication or lagging strand synthesis. In contrast, a substantial fraction of clinically-validated pathogenic mutations support normal cellular proliferation, but still drive ATR-dependent telomeric DNA damage signaling and ATR-independent telomere elongation. Moreover, this class of cancer-associated POT1 variants elongates telomeres more rapidly than POT1 frame-shifts, indicating they actively drive oncogenesis and are not simple loss-of-function mutations.

cancer biology↗

bioRxiv2024

Spinal motor neuron development and metabolism are transcriptionally regulated by Nuclear Factor IA

Neural circuits governing all motor behaviors in vertebrates rely on the proper development of motor neurons and their precise targeting of limb muscles. Transcription factors are essential for motor neuron development, regulating their specification, migration, and axonal targeting. While transcriptional regulation of the early stages of motor neuron specification is well-established, much less is known about the role of transcription factors in the later stages of maturation and terminal arborization. Defining the molecular mechanisms of these later stages is critical for elucidating how motor circuits are constructed. Here, we demonstrate that the transcription factor Nuclear Factor-IA (NFIA) is required for motor neuron positioning, axonal branching, and neuromuscular junction formation. Moreover, we find that NFIA is required for proper mitochondrial function and ATP production, providing a new and important link between transcription factors and metabolism during motor neuron development. Together, these findings underscore the critical role of NFIA in instructing the assembly of spinal circuits for movement.

developmental biology↗

bioRxiv2024

Comparative genomics and transcriptomics reveal differences in effector complement and expression between races of Fusarium oxysporum f. sp. lactucae

This study presents the first genome and transcriptome analyses for Fusarium oxysporum f.sp. lactucae (Fola) which causes Fusarium wilt disease of lettuce. Long-read genome sequencing of three race 1 (Fola1) and three race 4 (Fola4) isolates revealed key differences in putative effector complement between races and with other F. oxysporum f.spp. following mimp-based bioinformatic analyses. Notably, homologues of Secreted in Xylem (SIX) genes, also present in many other F. oxysporum f.spp, were identified in Fola, with both SIX9 and SIX14 (multiple copies with sequence variants) present in both Fola1 and Fola4. All Fola4 isolates also contained an additional single copy of SIX8. RNAseq of lettuce following infection with Fola1 and Fola4 isolates identified highly expressed effectors, some of which were homologues of those reported in other F. oxysporum f.spp. including several in F. oxysporum f.sp. apii. Although SIX8, SIX9 and SIX14 were all highly expressed in Fola4, of the two SIX genes present in Fola1, only SIX9 was expressed as further analysis revealed that copies of SIX14 gene copies were disrupted by insertion of a transposable element. Two variants of Fola4 were also identified based on different genome and effector-based analyses. This included two different SIX8 sequence variants which were divergently transcribed from a shared promoter with either PSE1 or PSL1 respectively. In addition there was evidence of two independent instances of HCT in the different Fola4 variants. The involvement of helitrons in Fola genome rearrangement and gene expression is discussed.

genomics↗

bioRxiv2020

DNA methylation study of age and sex in baboons and four other primates

DNA methylation data have been successfully used to develop highly accurate estimators of age ("epigenetic clocks") in many mammalian species. With a view of extending such epigenetic clocks to all primate species, we analyzed DNA methylation profiles of 2400 tissues derived from 37 primate species including 11 haplorhine species (baboons, marmosets, vervets, rhesus macaque, chimpanzees, gorillas, orangutan, humans) and 26 strepsirrhine species (suborders Lemuriformes and Lorisiformes). From these we present here, pan-primate epigenetic clocks which are highly accurate for all primates including humans (age correlation R=0.98). We also carried out in-depth analysis of baboon DNA methylation profiles and generated five epigenetic clocks for baboons (Olive-yellow baboon hybrid), one of which, the pan-tissue epigenetic clock, was trained on seven tissue types (fetal cerebral cortex, adult cerebral cortex, cerebellum, adipose, heart, liver, and skeletal muscle) with ages ranging from late fetal life to 22.8 years of age. To facilitate translation of findings in baboons to humans, we further constructed two dual-species, human-baboon clocks. We also identified and present here, epigenetic predictors of sex that apply to all primate species. Low overlap can be observed between age- and sex-related CpGs. Overall, this study advances our understanding of conserved age- and sex-related epigenetic changes in primates, and provides biomarkers to study the aging of all primate species with the facility to readily translate any findings between primate species.

developmental biology↗

bioRxiv2020

Data-driven analysis of rat pup behavior reveals novel effects of maternal pre-conception exposure to nicotine

We present a deep neural network for data-driven analyses of infant rat behavior in an open field task. The network was applied to study the effect of maternal nicotine exposure prior to conception on offspring motor development. The neural network outperformed human expert designed animal locomotion measures in distinguishing rat pups born to nicotine exposed dams versus control dams. Notably, the network discovered novel movement alterations in posture, movement initiation and a stereotypy in "warm-up" behavior (the initiation of movement along specific dimensions) that were predictive of nicotine exposure. The results suggest that maternal preconception nicotine exposure delays and alters offspring motor development. In summary, we demonstrated that a deep neural network can automatically assess animal behavior with high accuracy, and that it offers a data-driven approach to investigating pharmacological effects on brain development. SignificanceRelating neuronal activity to behavior is crucial to understand brain function. Despite the staggering progress in monitoring brain activity, behavioral analyses still do not differ much from methods developed 30-50 years ago. The reason for that is the difficulty for automated video analyses to detect small differences in complex movements. Here we show that applying deep neuronal networks for automated video analyses can help to solve this problem. More importantly, knowledge extracted from the network allowed to identify subtle changes in multiple behavioral components, which were caused by maternal preconception nicotine exposure in rat pups. Thus, the examples presented here show how neuronal networks can guide the development of more accurate behavioral tests to assess symptoms of neurological disorders.

neuroscience↗

bioRxiv2017

Construction of soil defined media using quantitative exometabolomic analysis of soil metabolites

Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil isolates. Environmentally-based defined media are needed to examine ecologically relevant patterns of substrate utilization. Here, we describe an approach for the construction of defined media using untargeted characterization of water soluble soil metabolites. To broadly characterize soil metabolites, both liquid chromatography mass spectrometry (LC/MS) and gas chromatography mass spectrometry (GC/MS) were used. With this approach, 96 metabolites were identified, including amino acids, amino acid derivatives, sugars, sugar alcohols, mono- and di-carboxylic acids, osmolytes, nucleobases, and nucleosides. From this pool of metabolites, 25 were quantified. Water soluble organic carbon was fractionated by molecular weight and measured to determine the fraction of carbon accounted for by the quantified metabolites. This revealed that, community structures, these soil metabolites have an uneven quantitative distribution, with a single metabolite, trehalose accounting for 9.9 percent of much like soil microbial the (< 1 kDa) water extractable organic carbon. This quantitative information was used to formulate two soil defined media (SDM), one containing 23 metabolites (SDM1) and one containing 46 (SDM2). To evaluate SDM for supporting the growth of bacteria found at this field site, we examined the growth of 30 phylogenetically diverse soil isolates obtained using standard R2A medium. The simpler SDM1 supported the growth of up to 13 isolates while the more complex SDM2 supported up to 25 isolates. One isolate, Pseudomonas corrugata strain FW300-N2E2 was selected for a time-series exometabolomics analysis to investigate SDM1 substrate preferences. Interestingly, it was found that this organism preferred lower-abundance substrates such as guanine, glycine, proline and arginine and glucose and did not utilize the more abundant substrates maltose, mannitol, trehalose and uridine. These results demonstrate the viability and utility of using exometabolomics to construct a tractable environmentally relevant media. We anticipate that this approach can be expanded to other environments to enhance isolation and characterization of diverse microbial communities.\n\nHighlights O_LILC/MS and GC/MS analyses of soil extracts revealed a diversity of 96 metabolites.\nC_LIO_LISoil defined media were constructed based on water extractable soil metabolomics data.\nC_LIO_LIThe defined media supported the growth of 25 out of 30 bacterial isolates.\nC_LIO_LIExometabolomics demonstrated preferential consumption of amino acids for one isolate.\nC_LIO_LIThese media can be used to understand environmentally relevant microbial substrate preferences.\nC_LI\n\nAbbreviationsDOM dissolved organic matter; SOM soil organic matter; WEOC water extractable organic carbon; LMWOS low molecular weight organic substances; SDM(1/2) soil defined media (1 and 2); R2A Reasoners 2A agar medium; ORFRC Oak Ridge Field Research Center; LC/MS liquid chromatography mass spectrometry; GC/MS gas chromatography/ mass spectrometry; TOC total organic carbon; HILIC hydrophilic interaction liquid chromatography

microbiology↗