Genomic Tools Research Articles

Breeding of Camels in Europe: Between Continuity and Innovation

Camel breeding in Europe has undergone significant changes, intertwining historical continuity with modern innovation. Historically, dromedaries (Camelus dromedarius) and Bactrian camels (Camelus bactrianus), played essential roles in Roman logistics, medieval rituals, and agriculture, leaving archeological and cultural footprints across Europe. Following a decline during the Middle Ages, camels were largely confined to exotic collections. However, the past few decades have witnessed a resurgence in camel farming, primarily driven by tourism and the demand for camel milk, with an estimated 5000–6000 camels now present in Europe. Despite their adaptability to harsh climates and nutritional advantages, the sector faces challenges such as small population sizes, fragmented breeding efforts, and the absence of regulatory frameworks tailored to camels. Advances in genomic tools, including genome-wide association studies and SNP genotyping, have created opportunities for the genetic management of camels in Europe, yet also reveal concerns about low genetic diversity stemming from founder effects. Addressing these issues requires coordinated international efforts, standardized phenotype recording, and enhanced welfare guidelines. With climate change highlighting the resilience of camels to arid environments, their potential as sustainable livestock remains promising. This review underscores the balance between preserving the historical legacy of camels in Europe and fostering their integration into contemporary agricultural systems.

ANTIBIOTIC RESISTANCE: A GLOBAL THREAT AND PATHWAYS TO SOLUTIONS

Introduction. Antimicrobial resistance (AMR) represents a critical global health challenge that poses significant threats to public health, food security, and economic stability. AMR occurs when microorganisms such as bacteria, viruses, fungi, and parasites develop resistance to antimicrobial agents, rendering treatments ineffective and leading to persistent infections, higher medical costs, and increased mortality rates. This crisis is exacerbated by factors such as the overuse and misuse of antibiotics in healthcare and agriculture, insufficient regulation, inadequate infection control measures, and limited access to diagnostic tools. As AMR continues to evolve, its impact is felt worldwide, particularly in low- and middle-income countries where resources for combating this issue are often scarce. The growing burden of AMR underscores the urgency for global and regional collaborations, integrated surveillance systems, and the implementation of effective antimicrobial stewardship programs to mitigate its impact. Purpose of the review. This study aims to analyze AMR as a global threat, identify key factors driving its emergence and spread, evaluate existing mitigation strategies, and propose practical recommendations to enhance the effectiveness of AMR management at regional and global levels. Materials and methods: A systematic analysis was conducted using open-access articles published within the last five years from databases such as PubMed, Medline, Google Scholar, eLibrary, and CyberLeninka. Included studies met evidence levels A and B, comprising meta-analyses, systematic reviews, and cohort studies. Key areas of focus included epidemiological data, resistance patterns, and intervention effectiveness. Results: Between 1990 and 2021, AMR was responsible for over one million deaths globally each year, with significant increases in fatalities among individuals aged 70 and older. In 2021, bacterial AMR contributed to an estimated 4.71 million deaths globally, including 1.14 million directly attributable to AMR. Projections suggest AMR-related deaths could reach 10 million annually by 2050 if current trends continue. Factors such as unregulated antibiotic use, limited diagnostic resources, and the spread of multidrug resistance (MDR), extensive drug resistance (XDR), and pan-resistance (PDR) exacerbate the crisis. Regional disparities, particularly in Africa and Asia, emphasize the need for strengthened surveillance and regulatory measures. Conclusion. AMR is a growing global crisis that demands urgent action. Implementing genomic tools for AMR monitoring and adopting the «One Health» approach, which integrates human, animal, and environmental health, are essential to addressing this challenge. Strengthening regional monitoring, increasing public awareness, and fostering global collaborations are pivotal for sustainable AMR control. These measures are crucial to reducing mortality rates, optimizing healthcare outcomes, and mitigating the socioeconomic impacts of AMR.

Advancements in genome editing tools for genetic studies and crop improvement

The rapid increase in global population poses a significant challenge to food security, compounded by the adverse effects of climate change, which limit crop productivity through both biotic and abiotic stressors. Despite decades of progress in plant breeding and genetic engineering, the development of new crop varieties with desirable agronomic traits remains a time-consuming process. Traditional breeding methods often fall short of addressing the urgent need for improved crop varieties. Genome editing technologies, which enable precise modifications at specific genomic loci, have emerged as powerful tools for enhancing crop traits. These technologies, including RNA interference, Meganucleases, ZFNs, TALENs, and CRISPR/Cas systems, allow for the targeted insertion, deletion, or alteration of DNA fragments, facilitating improvements in traits such as herbicide and insect resistance, nutritional quality, and stress tolerance. Among these, CRISPR/Cas9 stands out for its simplicity, efficiency, and ability to reduce off-target effects, making it a valuable tool in both agricultural biotechnology and plant functional genomics. This review examines the functional mechanisms and applications of various genome editing technologies for crop improvement, highlighting their advantages and limitations. It also explores the ethical considerations associated with genome editing in agriculture and discusses the potential of these technologies to contribute to sustainable food production in the face of growing global challenges.

Linking plant genes to arthropod community dynamics: Current progress and future challenges.

Plant genetic variation can play a key role in shaping ecological communities. Prior work investigated the effects of coarse-grain variation among plant genotypes on their diverse arthropod communities. Several recent studies, however, have leveraged the boom of genomic resources to study how genome-wide plant variation influences associated communities. These studies have demonstrated that the effects of plant genomic variation are not just detectable but can be important drivers of arthropod communities in natural ecosystems. Field common gardens and lab-based mesocosm experiments are also revealing candidate genes that have large effects on arthropod communities. While we highlight these exciting results, we also discuss key challenges to address in future research. We argue that a major hurdle lies in the integration of genomic tools with hierarchical models of species communities (HMSC). HMSC are generative models that provide the opportunity to not only better understand the processes underlying community change, but to also predict community dynamics. We also advocate for future research to apply models of genomic prediction to explore the genetic architecture of arthropod community phenotypes. We hypothesize that this genetic architecture will follow an exponential distribution, where a few genes of large effect, but also many genes of small effect, contribute to variation in arthropod communities. The next generation of studies linking plant genes to community dynamics will require interdisciplinary collaborations to build truly predictive models of plant genetic and arthropod community change.

Haplotype breeding: fast-track the crop improvements.

Haplotype-based breeding unleashed the genetic variations of unexplored germplasms and integration with recent genomics tools accelerated the genetic gain and address the present challenges of food security by climate change. Climate change is linked to unforeseenabiotic stressesand changes in the patterns of pests and diseases. Hence, it is necessary to use novel methods to detect genetic variations to mitigate the adverse effects on crops by climate change. Genomic-assisted breeding methods are strategies that improve the efficiency of breeding cereal crops in a dynamic environment. These methods detect differences in the structure of single nucleotide polymorphisms (SNPs) throughout the population. The decrease in sequencing costs has enabled the thorough sequencing of crop genomes, resulting in the discovery of millions of SNPs. By using statistical tests, it is possible to integrate these SNPsinto a limited number of haplotype blocks. This allows for a more comprehensive analysis of how variation is distributed and segregated within a population. Therefore, the use of haplotype-based breeding shows great potential as a tool for creating tailored crop varieties. The process entails the identification of superior haplotypes and their use in breeding operations. The haplotype-based breeding (HBB) technique utilizes genome sequence data to identify specific allelic variations that accelerate the breeding cycle and overcome linkage drag difficulties. This study aims to present the idea of HBB, examine the connection between haplotype breeding and conventional breeding, and analyze the benefits and current advancements of HBB, with a specific focus on cereal crops.

Exploring genetic diversity in apricot (Prunus armeniaca L.) populations using SSR markers

The genetic diversity of apricot (Prunus armeniaca L.) germplasm in mid-hills of Himachal Pradesh was investigated using Simple Sequence Repeats (SSR) markers. Apricot, a fruit-bearing tree known for its high nutritional value, requires genetic diversity analysis for effective breeding and conservation efforts. Molecular characterization using 46 SSR markers produced a total of 974 alleles with an average of 33.59 alleles per locus and PIC values ranging from 0.16 to 0.50, indicating a high level of polymorphism. PCR products of 15 indigenous collections and ‘Shakarpara’ revealed unique bands that were sequenced and subjected to BLAST, showing a high degree of homology with Prunus dulcis. A high quality reference genome for apricot is still unavailable, thereby limiting the elucidation of phenotypic associations with genetic background. Overall, this study provides valuable insights into the genetic diversity of apricot germplasm, crucial for sustainable breeding strategies, and need for integrating advanced genomic tools to further elucidate the genetic architecture of apricot.

Genomic Tools for Medicinal Properties of Goat Milk for Cosmetic and Health Benefits: A Narrative Review

Goat milk has gained recognition for its medicinal, cosmetic, and health benefits, particularly its potential to improve human skin conditions. Its therapeutic properties are attributed to bioactive compounds influenced by genes such as lactoferrin (LTF), lysozyme (LYZ), and β-casein (CSN2), known for their antimicrobial, immunomodulatory, and anti-inflammatory effects. Genetic factors are hypothesized to shape goat milk’s composition and its effectiveness in managing dermatological conditions like eczema and psoriasis. Understanding these genetic determinants is critical to optimizing the use of goat milk in skin health applications. This review aims to explore the application of genomic tools to elucidate the medicinal properties of goat milk and its implications for skin care. By identifying the specific genes and molecular mechanisms underpinning its therapeutic effects, genomic studies have provided insights into the bioactive constituents of goat milk, such as peptides, proteins, and lipids, which contribute to its dermatological efficacy. Candidate genes, including growth hormone receptor (GHR), butyrophilin (BTN1A1), and lactoglobulin (LGB), have been identified as critical for enhancing milk quality and functionality. Future research should integrate genomic data with functional studies to further investigate goat milk’s immunomodulatory, antimicrobial, and antioxidant activities. Such insights could advance targeted breeding strategies and innovative formulations for managing inflammatory skin conditions and promoting skin health.

Genome assemblies and other genomic tools for understanding insect adaptation.

Insects, the most diverse group of animals, exhibit remarkable adaptability, playing both crucial and problematic roles in ecosystems. Recent advancements in genomic technologies, such as high-throughput sequencing, have provided unprecedented insights into the genetic foundations of insect adaptation. This review explores key methodologies, including de novo and reference-guided genome assemblies, and highlights cutting-edge technologies like second and third-generation sequencing, and hybrid techniques. The article delves into the genetic mechanisms underlying insect adaptations, focusing on structural variants. Case studies, such as the Anopheles gambiae genome assembly and the genomic research on Drosophila melanogaster, demonstrate the practical applications of these technologies in understanding pesticide resistance, climate adaptation, and other evolutionary traits. This review underscores the transformative role of genomic tools in insect research, with significant implications for pest management, agriculture, and biodiversity conservation.

Application of Genomic Selection in Beef Cattle Disease Prevention.

Genomic applications in beef cattle disease prevention have gained traction in recent years, offering new strategies for improving herd health and reducing economic losses in the livestock industry. Advances in genomics, including identification of genetic markers linked to disease resistance, provide powerful tools for early detection, selection, and management of cattle resistant to infectious diseases. By incorporating genomic technologies such as whole-genome sequencing, genotyping, and transcriptomics, researchers can identify specific genetic variants associated with resistance to pathogens like bovine respiratory disease and Johne's disease. These genomic insights allow for more accurate breeding programs aimed at enhancing disease resistance and overall herd resilience. Genomic selection, in particular, enables identification of individuals with superior genetic traits for immune function, reducing the need for antibiotic treatments and improving animal welfare. Moreover, precision medicine, powered by genomic data, supports development of tailored health management strategies, including targeted vaccination plans and antimicrobial stewardship. Incorporation of genomic tools in beef cattle management also offers the potential for early disease detection, facilitating proactive interventions that reduce the spread of infections. Despite challenges like cost, data interpretation and integration into current management systems, the potential advantages of genomic applications in disease prevention are substantial. As these technologies advance, they are anticipated to have crucial roles in improving sustainability (by enhancing herd performance), profitability (by improving overall herd longevity), and biosecurity (by decreasing the likelihood of disease outbreaks) of beef cattle production systems worldwide.

Directed Evolution of Microbial Communities in Fermented Foods: Strategies, Mechanisms, and Challenges.

Directed Evolution of Microbial Communities (DEMC) offers a promising approach to enhance the functional attributes of microbial consortia in fermented foods by mimicking natural selection processes. This review details the application of DEMC in fermented foods, focusing on optimizing community traits to improve both fermentation efficiency and the sensory quality of the final products. We outline the core techniques used in DEMC, including the strategic construction of initial microbial communities, the systematic introduction of stress factors to induce desirable traits, and the use of artificial selection to cultivate superior communities. Additionally, we explore the integration of genomic tools and dynamic community analysis to understand and guide the evolutionary trajectories of these communities. While DEMC shows substantial potential for refining fermented food products, it faces challenges such as maintaining genetic diversity and functional stability of the communities. Looking ahead, the integration of advanced omics technologies and computational modeling is anticipated to significantly enhance the predictability and control of microbial community evolution in food fermentation processes. By systematically improving the selection and management of microbial traits, DEMC serves as a crucial tool for enhancing the quality and consistency of fermented foods, directly contributing to more robust and efficient food production systems.

GDBr: genomic signature interpretation tool for DNA double-strand break repair mechanisms.

Large genetic variants can be generated via homologous recombination (HR), such as polymerase theta-mediated end joining (TMEJ) or single-strand annealing (SSA). Given that these HR-based mechanisms leave specific genomic signatures, we developed GDBr, a genomic signature interpretation tool for DNA double-strand break repair mechanisms using high-quality genome assemblies. We applied GDBr to a draft human pangenome reference. We found that 78.1% of non-repetitive insertions and deletions and 11.0% of non-repetitive complex substitutions contained specific signatures. Of these, we interpreted that 98.7% and 1.3% of the insertions and deletions were generated via TMEJ and SSA, respectively, and all complex substitutions via TMEJ. Since population-level pangenome datasets are being dramatically accumulated, GDBr can provide mechanistic insights into how variants are formed. GDBr is available on GitHub at https://github.com/Chemical118/GDBr.

Single-cell Rapid Capture Hybridization sequencing to reliably detect isoform usage and coding mutations in targeted genes.

Single-cell long-read sequencing has transformed our understanding of isoform usage and the mutation heterogeneity between cells. Despite unbiased in-depth analysis, the low sequencing throughput often results in insufficient read coverage thereby limiting our ability to perform mutation calling for specific genes. Here, we developed a single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) method that demonstrated high specificity and efficiency in capturing targeted transcripts using long-read sequencing, allowing an in-depth analysis of mutation status and transcript usage for genes of interest. The method includes creating a probe panel for transcript capture, using barcoded primers for pooling and efficient sequencing via Oxford Nanopore Technologies platforms. scRaCH-seq is applicable to stored and indexed single-cell cDNA which allows analysis to be combined with existing short-read RNA-seq datasets. In our investigation of BTK and SF3B1 genes in samples from patients with chronic lymphocytic leukaemia (CLL), we detected SF3B1 isoforms and mutations with high sensitivity. Integration with short-read scRNA-seq data revealed significant gene expression differences in SF3B1-mutated CLL cells, though it did not impact the sensitivity of the anti-cancer drug venetoclax. scRaCH-seq's capability to study long-read transcripts of multiple genes makes it a powerful tool for single-cell genomics.

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library.

The extent of functional sequences within the human genome is a pivotal yet debated topic in biology. Although high-throughput reverse genetic screens have made strides in exploring this, they often limit their scope to known genomic elements and may introduce non-specific effects. This underscores the urgent need for novel functional genomics tools that enable a deeper, unbiased understanding of genome functionality. This protocol introduces the Insertion-based Screen for functional Elements and Transcripts (InSET), a method for identifying lentivirus integration sites within a lentivirus-based insertional mutagenesis cell library. InSET facilitates the capture of genome-wide lentiviral integration sites, with next-generation sequencing used to detect and quantify flanking sequences. InSET's design enables the analysis of integration site abundance variations in phenotypic screens on a large scale, establishing it as a robust tool for forward genetics and for identifying functional genomic elements. A key benefit of InSET is its capacity to reveal previously unidentified genomic elements, including novel functional exons of both protein-coding and non-coding RNAs, independent of prior annotation. Overall, InSET holds significant value in studying the intricate complexity of the human genome and transcriptome, where many genomic elements await functional characterization.

Targeted Enrichment Sequencing Utilizing a Respiratory Pathogen Panel for Genomic Wastewater-Based Viral Epidemiology in Uruguay.

Human respiratory and enteric viruses are responsible for substantial morbidity and mortality worldwide. Wastewater-based epidemiology utilizing next-generation sequencing serves as an effective tool for monitoring viral circulation dynamics at the community level. However, these complex environmental samples are often laden with other microorganisms and host genomic material, which can hinder the sensitivity of viral detection. To address this limitation, targeted enrichment sequencing is emerging as a preferred strategy, facilitating the acquisition of a more comprehensive understanding of specific pathogens. In this study, we evaluated the performance of a targeted enrichment sequencing panel for 42 excreted respiratory viruses (including Picornaviridae, Adenoviridae, Coronaviridae, Paramyxoviridae, Orthomyxoviridae, Orthoherpesviridae, Pneumoviridae, and Parvoviridae families), known as the Respiratory Pathogen ID/AMR enrichment panel (RPIP), coupled with Explify bioinformatics analysis in 3 sewage samples from Uruguay. RPIP panel successfully identified sequences from frequently circulating viruses, along with some that had not been documented previously. We identified and characterized various viruses, including human Enterovirus (Coxsackievirus A1 and A19), Influenza A-H1N1, and full-length sequences of SARS-CoV-2. Additionally, several other viral pathogens were detected, such as human Bocavirus, human Parechovirus, Enterovirus A71, and Enterovirus D68; however, for these viruses further analysis was limited due to the small genomic regions or low-read coverage obtained. While the RPIP panel necessitates substantial sequencing depth and may introduce bias towards the more predominant strains present in the samples, this approach suggests its viability as a genomic epidemiological tool for assessing respiratory and enteric viruses in wastewater.

Genomic Characterization of Carbapenemase-Producing Enterobacteriaceae from Clinical and Epidemiological Human Samples.

Background/Objectives: Infections caused by multidrug-resistant (MDR)bacteria pose a significant public health threat by worsening patient outcomes, contributing to hospital outbreaks, and increasing health and economic burdens. Advanced genomic tools enhance the detection of resistance genes, virulence factors, and high-risk clones, thus improving the management of MDR infections. In the Autonomous Community of Aragon, the diversity and incidence of carbapenemase-producing Enterobacteriaceae (CPE) have increased during the last years. This study analyses CPE trends at a tertiary hospital in Spain from 2021 to 2023, aiming to optimize personalized medicine. Methods: CPE isolates were the first isolate per patient, year, species, and carbapenemase from January 2021 to December 2023. Additional metadata were collected from the laboratory's information system. Antibiotic susceptibility testing was performed by broth microdilution. Whole-genome sequencing (WGS) was performed using Illumina short reads. De novo assembly was used to generate draft genomes in order to determine their complete taxonomic classification, resistome, plasmidome, sequence type (ST), core-genome multilocus sequence typing (cgMLST), and phylogenetic relationships using a suite of bioinformatics tools and in-house scripts. Results: Between 2021 and 2023, 0.4% out of 38,145 Enterobacteriaceae isolates were CPE. The CPE rate tripled in 2022 and doubled again in 2023. The most common species was Klebsiella pneumoniae (51.8%) and the most common carbapenemase was blaOXA-48. WGS revealed concordant species identification and the carbapenemase distribution in detail. Resistance rates to critical antibiotics, such as carbapenems, were variable, but in most cases were above 70%. Genetic diversity was observed in WGS and phylogenetic analyses, with plasmids often mediating carbapenemase dissemination. Conclusions: The increasing rate of CPE in healthcare settings highlights a critical public health challenge, with limited treatment options. Genomic characterization is essential to understanding resistance mechanisms, aiding therapy, limiting outbreaks, and improving precision medicine.

Advances in Whole Genome Sequencing: Methods, Tools, and Applications in Population Genomics.

With the rapid advancement of high-throughput sequencing technologies, whole genome sequencing (WGS) has emerged as a crucial tool for studying genetic variation and population structure. Utilizing population genomics tools to analyze resequencing data allows for the effective integration of selection signals with population history, precise estimation of effective population size, historical population trends, and structural insights, along with the identification of specific genetic loci and variations. This paper reviews current whole genome sequencing technologies, detailing primary research methods, relevant software, and their advantages and limitations within population genomics. The goal is to examine the application and progress of resequencing technologies in this field and to consider future developments, including deep learning models and machine learning algorithms, which promise to enhance analytical methodologies and drive further advancements in population genomics.

Molecular heterogeneity and MYC dysregulation in triple-negative breast cancer: genomic advances and therapeutic implications.

Triple-negative breast cancer (TNBC) is characterized by a diverse range of molecular features that have been extensively studied. MYC plays a critical role in regulating metabolism, differentiation, proliferation, cell growth, and apoptosis. Dysregulation of MYC is associated with poor prognosis and contributes to the development and progression of breast cancer. A particularly intriguing aspect of TNBC is its association with tumors in BRCA1 mutation carriers, especially in younger women. MYC may also contribute to resistance to adjuvant treatments. For TNBC, targeting MYC-regulated pathways in combination with inhibitors of other carcinogenic pathways offers a promising therapeutic approach. Several signaling pathways regulate TNBC, and targeting these pathways could lead to effective therapeutic strategies for breast cancer. Advances in genomic tools, such as CRISPR-Cas9, next-generation sequencing, and whole-exome sequencing, are revolutionizing breast cancer diagnoses. These technologies have significantly enhanced our understanding of MYC oncogenesis, particularly through CRISPR-Cas9 and NGS. Targeting MYC and its partner MAX could provide valuable insights into TNBC. Moreover, the therapeutic potential of targeting MYC-driven signaling mechanisms and their interactions with other oncogenic pathways, including PI3K/AKT/mTOR and Wnt/β-catenin, is increasingly recognized. Next-generation sequencing and CRISPR-Cas9 represent significant breakthroughs in genomic tools that open new opportunities to explore MYC's role in TNBC and facilitate the development of personalized treatment plans. This review discusses the future clinical applications of personalized treatment strategies for patients with TNBC.

Analytical Validation of the Labcorp Plasma Complete Test, a Cell-Free DNA Comprehensive Genomic Profiling Tool for Precision Oncology.

To help guide treatment decisions and clinical trial matching, tumor genomic profiling is an essential precision oncology tool. Liquid biopsy, a complementary approach to tissue testing, can assess tumor-specific DNA alterations circulating in the blood. Labcorp Plasma Complete is a next-generation sequencing, cell-free DNA comprehensive genomic profiling test that identifies clinically relevant somatic variants across 521 genes in advanced and metastatic solid cancers. Over 800 unique sequencing libraries across 27 cancer types were evaluated to establish analytical sensitivity, specificity, accuracy, and precision, reproducibility, and repeatability. Sensitivity was verified for each variant type, with a median variant allele frequency (VAF) of 1.25% and 1.27% for panel-wide single-nucleotide variants and insertions/deletions (sequence variants), respectively, with <1% VAF sensitivity observed for clinically actionable variants, 1.72-fold for copy number amplifications, 0.48% fusion read fraction for translocations, and 0.47% sequence mutation VAF for microsatellite instability-high. Analytical specificity was 99.9999% for single-nucleotide variants and 100% for all other variant types. Precision, reproducibility, and repeatability resulted in 94.9% average positive agreement and 99.9% average negative agreement for sequence variants and 100% average positive agreement and average negative agreement for copy number amplifications, translocations, and microsatellite instability. Orthogonal assays were used to assess accuracy, demonstrating an aggregate analytical concordance of 97.4% positive percentage agreement and >99.99997% negative percentage agreement for all variants. Overall, the test demonstrates high sensitivity, specificity, accuracy, and robustness to enable informed clinical decision-making.

Recent advances in synthetic biology toolkits and metabolic engineering of Ralstonia eutropha H16 for production of value-added chemicals.

Ralstonia eutropha H16, a facultative chemolithoautotrophic Gram-negative bacterium, demonstrates remarkable metabolic flexibility by utilizing either diverse organic substrates or CO2 as the sole carbon source, with H2 serving as the electron donor under aerobic conditions. The capacity of carbon and energy metabolism of R. eutropha H16 enabled development of synthetic biology technologies and strategies to engineer its metabolism for biosynthesis of value-added chemicals. This review firstly outlines the development of synthetic biology tools tailored for R. eutropha H16, including construction of expression vectors, regulatory elements, and transformation techniques. The availability of comprehensive omics data (i.e., transcriptomic, proteomic, and metabolomic) combined with the fully annotated genome sequence provides a robust genetic framework for advanced metabolic engineering. These advancements facilitate efficient reprogramming metabolic network of R. eutropha. The potential of R. eutropha as a versatile microbial platform for industrial biotechnology is further underscored by its ability to utilize a wide range of carbon sources for the production of value-added chemicals through both autotrophic and heterotrophic pathways. The integration of state-of-the-art genetic and genomic engineering tools and strategies with high cell-density fermentation processes enables engineered R. eutropha as promising microbial cell factories for optimizing carbon fluxes and expanding the portfolio of bio-based products.

Comparative epigenetics of domestic animals: focusing on DNA accessibility and its impact on gene regulation and traits.

Chromatin accessibility is vital for gene regulation, determining the ability of DNA-binding proteins to access the genomic regions and drive transcriptional activity, reflecting environmental changes. Although human and murine studies have advanced the understanding of chromatin dynamics, domestic animals remain comparatively underexplored despite their importance in agriculture and veterinary medicine. Investigating the accessibility of chromatin in these species is crucial for improving traits such as productivity, disease resistance, and environmental adaptation. This review assessed chromatin accessibility research in domestic animals, highlighting its significance in understanding and improving livestock traits. This review outlines chromatin accessibility research in domestic animals, focusing on critical developmental processes, tissue-specific regulation, and economically significant traits. Advances in techniques, such as Assay for Transposase-Accessible Chromatin using sequencing, have enabled detailed mapping of regulatory elements, shedding light on epigenetic regulation of traits, such as muscle development and productivity. Comparative studies have uncovered conserved and species-specific cis-regulatory elements across multiple species. These findings offer insights into regulatory mechanisms that can enhance breeding strategies and animal management. In addition, high-throughput techniques, such as single-cell analysis and deep-learning models, have advanced the study of chromatin accessibility in lesser-studied species. Chromatin accessibility is crucial in gene regulation in domestic animals, influencing development, immune response, and productivity. Despite the progress, more comprehensive epigenomic datasets and cross-species analytical tools are needed to harness chromatin accessibility in domestic animal research. Understanding these mechanisms has practical applications in improving livestock traits, advancing breeding programs, and developing disease-resistant animals, highlighting the importance of integrating epigenetic and genomic tools for enhancing animal health and productivity.