Researchers have developed a new metagenomic software called nanoMDBG, which enables faster and more accurate analysis of microbial diversity. The software can assemble microbial genomes from nanopore sequencing data, allowing for the tracking of complex microbial communities over time.
Researchers at Earlham Institute isolated and sequenced genomes from seven uncultured Bodo spp. single cells, revealing three potentially novel species with unique genetic diversity. The study advances the field of single-cell sequencing in protists, shedding light on hidden biodiversity and symbiotic relationships.
Researchers have uncovered unusual clustering of endothelial cells around immune cells, signaling the start of excessive collagen production and scarring. This discovery could lead to new treatments for fibrosis, a common complication in Crohn's Disease affecting 10-20% of patients.
MARTi enables rapid taxonomic classification and abundance analysis of microorganisms in various settings, including agriculture, environmental monitoring, and clinical environments. The tool provides immediate analysis results, allowing for quick identification and targeted treatments of pathogen infections.
Researchers have discovered new layers of hidden genetic diversity in wheat, which could help improve crop resilience and adaptability. The study used RNA analysis and de novo annotation to reveal previously unknown gene expression patterns, providing valuable insights for plant breeding programs.
A new DNA sequencing test revealed a novel species with an unusual genetic code, where TAA and TAG specify different amino acids. This finding breaks some long-held rules about gene translation, highlighting the complexity and diversity of life on Earth.
Researchers identified candidate genes and loci associated with aquaculture-relevant traits in tilapia, providing valuable insights to breed more resilient fish. The findings aim to guide selective breeding programmes and enhance the climate resilience of freshwater aquaculture.
Researchers at the Earlham Institute have successfully engineered tobacco plants to produce moth sex pheromones using precision gene engineering techniques. The production of these molecules can be efficiently managed without hampering normal plant growth, providing a potential alternative to traditional pesticides.
Researchers found that healthy individuals have a median of 16 antimicrobial resistance genes in their gut microbiome, varying across countries and antibiotic use. National antibiotic consumption levels correlate with resistance gene frequencies, highlighting the need for public health strategies to mitigate AMR.
The first full reference genome for a genetically improved tilapia strain has been published, revealing substantial genetic variation that highlights the need for strain-specific breeding programmes. The genome assembly provides crucial resources for breeders to develop strains with enhanced growth rate, immunity, and resilience.
Researchers found that wheat lines with exotic DNA from wild relatives can achieve a 50% higher yield over elite lines under hot weather conditions. The study suggests incorporating heat tolerance traits into breeding programs to produce climate-resilient crops.
Researchers at the Earlham Institute have developed a computational biology method to better understand Inflammatory Bowel Disease (IBD) by analyzing differences in gut cell types. They identified how beneficial bacteria communicate with the immune system, which may lead to targeted clinical treatments.
Researchers at the Earlham Institute developed a new approach to analyze metagenomic samples, combining advanced sampling techniques with mathematical models, to reveal crucial details of low-abundance species. This method, called adaptive sampling, offers a potential solution to enrich species of interest in metagenomic samples.
The study developed a new strategy to sequence thousands of bacterial isolates with collaborators from economically-challenged countries, aiming to make genomic data more accessible. The 10,000 Salmonella genomes research consortium sequenced and analysed 10,000 Salmonella genomes from Africa and Latin America, strengthening global res...
A new genomics marker tool accurately identifies tilapia species and detects hybridization, providing a valuable resource for aquaculture and conservation in Tanzania. The tool offers a cheaper solution than full genome data analysis, enabling the detection of invasive and native tilapia species.
Researchers developed an AI-powered machine learning technology to analyze complex circadian gene expression patterns in plants, aiming to improve plant growth and yields. The approach also sheds light on human diseases, providing new avenues for research.
Researchers have identified untapped genetic diversity in Vietnamese rice varieties that can provide a source of novel genes for improving agronomic traits. This discovery has the potential to develop 'Green Super Rice' that is more resilient to extreme weather conditions and suitable for growing on marginal lands.
Researchers investigated bacterial persistence in the human gut microbiome, identifying three dispersal strategies and finding that most strains are highly persistent. The study's results will inform targeted probiotic and treatment approaches to maintain a healthy gut microbiome.
The Alvis tool helps bioinformaticians analyze DNA sequence data and reference genome databases for more accurate assembly results. It detects chimeric sequences, which can affect data accuracy, and produces efficient vector images for human interpretation.
A new study shows that Miscanthus grass can be grown in lower agricultural grade conditions, making it a promising biofuel option. The research found specific genes that play key roles in response to water stress across different Miscanthus species.
Researchers at Earlham Institute created a new automated workflow using liquid handling robots to identify the genetic basis of preventing plant pathogens. The new technology screened 2,880 mutants in just 11 hours, identifying a gene cluster linked to growth inhibition of the common potato pathogen.
Researchers analyzed COVID-19 data to understand the immune system's response and found SARS-CoV-2 uniquely triggers a more severe cytokine storm in certain patients. The study aims to identify better treatments and diagnoses for this deadly condition.
The ViralLink workflow connects the dots between viral protein interactions and cellular responses to identify key proteins involved in various functions. The tool predicts signalling pathways and transcription factor regulation to change gene expression in infected cells.
A new drug target for schizophrenia will be assessed using a technical approach developed by researchers from the University of Oxford and Earlham Institute. The goal is to identify proteins that may represent promising targets for treatment, which could lead to improved understanding and development of novel treatments.
A study found that a single DNA base-pair change in a specific gene can influence whether a plant is a lark or night owl, affecting its flowering time and ability to withstand climate change. The research could help farmers select plants with clocks best suited to their location.
Researchers have developed a combined experimental and computational pipeline to understand the role of genes in IBD. The study uses organoids to analyze gene expression and identifies 'master regulators' that overlap with IBD-related processes. This breakthrough enables design of new experiments to explore IBD-related processes further.
A team from the Earlham Institute is exploring the chemical diversity of UK plants to identify new medicines, including those found in foxgloves and willow trees. The project aims to understand how plants produce complex chemicals and unlock new pathways for biomanufacturing.
Researchers use 'Reverse Metagenomics' method to identify preferred wildflowers for bees, providing valuable insights into pollinator behavior and habitat conservation. This technique can be applied to various studies, including diet analysis and airborne allergenic pollen identification.
A machine learning platform called AirSurf-Lettuce uses computer vision and deep learning to categorize lettuce crops in fields, measuring quantity, size, and location. This technology can help reduce yield loss up to 30% by providing precise harvest times and improving crop management decisions.
Research at Earlham Institute reveals that plant clocks oscillate faster as plants age, with wheat exhibiting more rapid oscillations under constant darkness. The study uses delayed fluorescence to measure daily patterns in crops, enabling breeders to select optimal clock rhythms for improved yields.
Researchers identified a helicase gene, ReqQ, involved in gene conversion and crossover frequency, the first of its kind in plants. This breakthrough may help breeders break up linked regions, increasing desirable genes without sacrificing vital plant functions.
Researchers identify genomic regions affecting radiation use efficiency and biomass accumulation in spring wheat, providing a crucial resource for scientists and breeders. The study aims to increase wheat yield potential without sacrificing grain yield, addressing the challenge of sustainingably feeding a growing population.
A recent study by Earlham Institute sheds light on the genetic orchestra conductors behind domestication of dogs, cows, horses, pigs, and rabbits. By analyzing microRNAs in their brains, testicles, hearts, and kidneys, researchers discovered that some miRNAs have evolved more recently, playing a crucial role in emerging novel traits.
Aequatus provides a seamless user experience to visualize homologous genes among species, helping biologists delve into the details of genomic features. The tool supports the Ensembl REST API, improving portability and access to fine-grained information about genes and organisms.
The study reveals geographical patterns in epigenetic changes between 100 landraces of wheat, suggesting that these changes have arisen due to environmental conditions. This discovery provides breeders with a new tool to improve how plants respond to local conditions, enabling farmers to grow the best possible crop for their environment.
The koala's complete genome has been sequenced, offering unprecedented insights into its unique biology and potential health solutions. The research provides a springboard for conservation efforts and may lead to the discovery of new anti-microbial genes with human health applications.
Researchers found low genetic diversity in fungal samples across Europe, making it vulnerable to increased severity with Asian genetic diversity introduction. The risk of a single spore leading to the demise of remaining ash trees is high, highlighting the need for conservation efforts.
Researchers use an easy-to-use, open-source Galaxy workflow to analyze gene families across species. The GeneSeqToFamily workflow removes complex prerequisites and is customizable, making it accessible to biologists unfamiliar with Compara.
A recent study has found that plants share defensive proteins through evolutionary pick 'n' mix, allowing them to respond effectively to emerging diseases. The research identified diverse groups of genes in various wild and domestic grasses, including wheat and barley, which can be used to engineer resistant crops.
A breakthrough in sequencing the white Guinea yam genome has opened up possibilities for improving the staple crop's yields, sustainability, and disease resistance. This achievement will help farmers increase productivity and transform yams from a neglected 'orphan' crop to a more domesticated and economically viable food source.
Scientists have created the most accurate navigation system for the bread wheat genome, allowing researchers to analyze its genes more easily than ever before. The system includes detailed annotation of over 100,000 wheat genes, revealing previously hidden genes and improving crop yields.
The green peach aphid can colonize over four hundred plant species due to its ability to rapidly adjust gene expression in response to different hosts. This adaptation allows the insect to feed on essential crops and transmit plant viruses, causing significant losses in crop yields.
Researchers identify proteins that interact with cancer-related proteins at the center of cellular signaling networks, potentially leading to new chemotherapies. These 'first neighbor' proteins have a significant impact on cancer progression and may be useful drug targets.
Researchers at the Earlham Institute have developed a new method for improving wheat crop yield quality using bioinformatics tools. The w2rap pipeline enables robust and efficient genome assembly, which will aid in precision breeding and increase global food security.
The country plans to triple its fish production by 2025 while preserving biodiversity. Genetic analysis of local tilapia species could reveal important traits for creating commercial broodstock, reducing dependence on external markets and increasing food security.
Researchers have developed a new way to sequence and analyze plant DNA to identify genes that confer disease resistance. By using longer DNA molecules and a specialized sequencing method, they can accurately identify the exact genes responsible for plant defense mechanisms. This breakthrough has significant implications for breeding mo...
Researchers have discovered 75 groups of 'critical paralog' genes essential for cellular communication and signalling pathways. These findings will aid in guiding drug targets and identifying biomarkers for diseases such as cancer and neurodegenerative disorders.
The KAT tool analyzes K-mer datasets to identify error levels, biases, and contamination in sequencing data. It also checks genome assemblies for completeness and accuracy without external reference data.
Researchers can now analyze biological signaling pathways with unprecedented accuracy thanks to OmniPath, combining 27 public databases on signalling interactions. The tool provides a comprehensive and unified collection of literature-curated signalling pathways based on an analysis of 41,000 scientific papers.
A study published in Avian Research has confirmed the Hen Harrier and Northern Harrier as two distinct species using genomics and molecular phylogenetics. The classification will aid national conservation efforts, particularly for the European Hen Harrier under threat from grouse hunts.