bioRxiv Science⌕ Search

Biology subjects

Klein, A.

Publications and source records attributed to Klein, A..

At least 37 records · Page 2Linked to original sources

An auxin-inducible degron system for trypanosomes

The ability to specifically degrade one protein in a cell provides an immediate insight into any resulting phenotype and thus function that may be occluded by secondary effects using other techniques. The auxin inducible degron is a method developed to achieve this end and is effective in mammalian and yeast cells. The approach is dependent on the recognition of a tagged target protein by an endogenous E3 ubiquitin ligase modified by the expression of a plant F-box protein. This approach was initially unsuccessful in trypanosomes probably due to a lack of interaction between the endogenous E3 ubiquitin ligase and the plant F-box protein. This was overcome by expressing the entire rice E3 ubiquitin ligase in trypanosomes and here we describe the production of the auxin inducible degron competent cell lines and tagging of target genes.

molecular biology↗

An open, fully-processed data resource for studying mood and sleep variability in the developing brain

Brain development during adolescence and early adulthood coincides with shifts in emotion regulation and sleep. Despite this, few existing datasets simultaneously characterize affective dynamics, sleep variation, and multimodal measures of brain development. Here, we describe the study protocol and initial release (n = 10) of an open data resource of neuroimaging paired with densely sampled behavioral measures in adolescents and young adults. All participants complete multi-echo functional MRI, compressed-sensing diffusion MRI, and advanced arterial spin-labeled MRI. Behavioral measures include ecological momentary assessment, actigraphy, extensive cognitive assessments, and detailed clinical phenotyping focused on emotion regulation. Raw and processed data are openly available without a data use agreement and will be regularly updated as accrual continues. Together, this resource will accelerate research on the links between mood, sleep, and brain development.

neuroscience↗

Behavioral variation across multiple phases of intravenous cocaine self-administration among genetically diverse mouse populations

Genetic and other predisposing factors can influence the progression from initiation of drug intake to compulsive substance use through distinct biobehavioral processes. Operant cocaine self-administration studies in laboratory mice offer a powerful method to dissect the biology of this progression from initiation, dose-response, extinction, and cued reinstatement in a controlled, tractable system. However, many such studies encompass limited genetic diversity and rarely examine self-administration behaviors beyond the acquisition stage. Here, we study three high-diversity mouse populations - 50 strains from the Collaborative Cross (CC) reference panel, a large sample of Diversity Outbred (J:DO) population and their eight founder strains - to characterize the varied phenotypic manifestation of behaviors across multiple phases of cocaine intravenous self-administration (IVSA) in both sexes. We observed distinct strain differences among the founders and CC strains in all phases of self-administration, with heritability estimates ranging from 0 to 0.585 and many CC and J:DO phenotypic values exceeding the range of founders including the C57BL/6J strain. Sex differences were common across behaviors, some manifesting as main effects, others as strain interactions. Finally, by adopting a multi-stage design, we identified extreme strains for various cocaine intake and response traits and evaluated whether these strains exhibited differences in behavioral assays that model compulsive drug seeking. Together, these findings demonstrate the utility of extended self-administration protocols in advanced mouse populations for discovery and characterization of biological mechanisms of substance use traits and for preclinical studies in relevant, complex mouse models.

genetics↗

Cell-type-specific transposable element demethylation and TAD remodeling in the aging mouse brain

Aging is a major risk factor for neurodegenerative diseases, yet underlying epigenetic mechanisms remain unclear. Here, we generated a comprehensive single-nucleus cell atlas of brain aging across multiple brain regions, comprising 132,551 single-cell methylomes and 72,666 joint chromatin conformation-methylome nuclei. Integration with companion transcriptomic and chromatin accessibility data yielded a cross-modality taxonomy of 36 major cell types. We observed that age-related methylation changes were more pronounced in non-neuronal cells. Transposable element methylation alone distinguished age groups, showing cell-type-specific genome-wide demethylation. Chromatin conformation analysis demonstrated age-related increases in TAD boundary strength with enhanced accessibility at CTCF binding sites. Spatial transcriptomics across 895,296 cells revealed regional heterogeneity during aging within identical cell types. Finally, we developed novel deep-learning models that accurately predict age-related gene expression changes using multi-modal epigenetic features, providing mechanistic insights into gene regulation. This dataset advances our understanding of brain aging and offers potential translational applications. HighlightsO_LISingle-cell multi-omic profiling maps the epigenetic and spatial transcriptomic landscape of brain aging across multiple regions. C_LIO_LICell-type-specific genome-wide demethylation of retrotransposable elements correlates with increased chromatin accessibility and expression. C_LIO_LIElevated TAD boundary strength emerges as a unique marker of brain aging associated with CTCF gaining accessibility. C_LIO_LIA novel deep-learning model reveals the significance of epigenetic features on age-related transcriptomic changes across genes. C_LI

genomics↗

Deciphering lung adenocarcinoma evolution and the role of LINE-1 retrotransposition

Understanding lung cancer evolution can identify tools for intercepting its growth. In a landscape analysis of 1024 lung adenocarcinomas (LUAD) with deep whole-genome sequencing integrated with multiomic data, we identified 542 LUAD that displayed diverse clonal architecture. In this group, we observed an interplay between mobile elements, endogenous and exogenous mutational processes, distinct driver genes, and epidemiological features. Our results revealed divergent evolutionary trajectories based on tobacco smoking exposure, ancestry, and sex. LUAD from smokers showed an abundance of tobacco-related C:G>A:T driver mutations in KRAS plus short subclonal diversification. LUAD in never smokers showed early occurrence of copy number alterations and EGFR mutations associated with SBS5 and SBS40a mutational signatures. Tumors harboring EGFR mutations exhibited long latency, particularly in females of European-ancestry (EU_N). In EU_N, EGFR mutations preceded the occurrence of other driver genes, including TP53 and RBM10. Tumors from Asian never smokers showed a short clonal evolution and presented with heterogeneous repetitive patterns for the inferred mutational order. Importantly, we found that the mutational signature ID2 is a marker of a previously unrecognized mechanism for LUAD evolution. Tumors with ID2 showed short latency and high L1 retrotransposon activity linked to L1 promoter demethylation. These tumors exhibited an aggressive phenotype, characterized by increased genomic instability, elevated hypoxia scores, low burden of neoantigens, propensity to develop metastasis, and poor overall survival. Re-activated L1 retrotransposition-induced mutagenesis can contribute to the origin of the mutational signature ID2, including through the regulation of the transcriptional factor ZNF695, a member of the KZFP family. The complex nature of LUAD evolution creates both challenges and opportunities for screening and treatment plans.

genomics↗

Inhibition of adenylyl cyclase 1 (AC1) and exchange protein directly activated by cAMP (EPAC) restores ATP-sensitive potassium (KATP) channel activity after chronic opioid exposure

Prolonged exposure to Gi/o receptor agonists such as opioids can lead to a sensitization of adenylyl cyclases (ACs), resulting in heterologous sensitization or cyclic AMP (cAMP) overshoot. The molecular consequences of cAMP overshoot are not well understood, but this adaptive response is suggested to play a critical role in the development of opioid tolerance and withdrawal. We found that genetic reduction of AC1 and simultaneous upregulation of ATP-sensitive potassium (KATP) channel subunits, SUR1 or Kir6.2, significantly attenuated morphine tolerance and reduced naloxone-precipitated withdrawal. In vitro models utilized an EPAC2-GFP-cAMP biosensor to investigate sensitization of adenylyl cyclase in SH-SY5Y neuroblastoma cells and HEK{Delta}AC3/6 knockout cells. Acute application of DAMGO significantly decreased the cAMP signal from the EPAC2-GFP-cAMP biosensor, while chronic DAMGO administration resulted in enhanced cAMP production following AC stimulation. Inhibition of cAMP overshoot was observed with naloxone (NAL), pertussis toxin (PTX), and the neddylation inhibitor, MLN4924 (Pevonedistat), as well as co-expression of {beta}-adrenergic receptor kinase C-terminus ({beta}ARK-CT). After establishment of the AC1-EPAC sensitization in the in vitro models, we found that inhibition of AC1 or EPAC enhanced potassium channel activity after chronic morphine treatment, using a thallium-based assay in SH-SY5Y cells. Similar data were obtained in mouse dorsal root ganglia (DRG) after chronic morphine treatment. This study presents evidence for investigating further AC1 signaling as a target for opioid tolerance and withdrawal, by increasing EPAC activity and affecting potassium channels downstream of opioid receptors. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/636278v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@185bb82org.highwire.dtl.DTLVardef@d97ea4org.highwire.dtl.DTLVardef@1097addorg.highwire.dtl.DTLVardef@1616fcf_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO C_FIG

neuroscience↗

Evolving properties of biological materials captured via needle-based cavity expansion method

BackgroundThe mechanical properties of biological tissues change over time and with disease progression. Quantifying these mechanical properties can thus be instrumental for medical diagnosis and for evaluation of tissue viability for transplant. However, soft and biological materials are exceptionally challenging to mechanically characterize using conventional testing methods, which are hindered by limitations of sample size, fixturing capabilities, and sample preparation. ObjectiveWe hypothesize that Volume Controlled Cavity Expansion (VCCE) is well-suited to capture subtle mechanical differences in biological tissue. The objective of this work is therefore twofold: first, we seek to quantify how stiffness of liver and gelatin evolve with age. In achieving this understanding, we aim to demonstrate the precision of VCCE in measuring subtle changes in the mechanical properties of biological tissues. MethodsPerforming VCCE tests over 15 days in samples of gelatin and liver (porcine and bovine), we track the evolving pressure-volume response and deformation limits of the materials. ResultsIn both materials, we observed time-dependent variation of the stiffness and fracture thresholds. In gelatin VCCE repeatably captured stiffening over time, which was correlated with a higher fracture stress. This was in contrast to observations in bovine liver, where stiffening corresponded to a lower fracture stress. Porcine liver initially stiffened, then reversed this trend and relaxed. ConclusionThrough this work we show that liver and gelatin stiffen with age, and that this trend is measurable via VCCE. These results highlight the utility of VCCE and call attention to the need for a new class of mechanism based constitutive models that are capable of capturing variations in material over time with a minimal number of parameters.

bioengineering↗

Patterns of Ongoing Thought in the Real World and Their Link to Mental Health and Well-Being

The thoughts we experience in daily life have implications for our mental health and well-being. However, it is often difficult to measure thought patterns outside of laboratory conditions due to concerns about the voracity of measurements taken in daily life. To address this gap in the literature, our study set out to measure patterns of thought as they occur in daily life and assess the robustness of these measures and their associations with trait measurements of mental health and well-being. A sample of undergraduate participants completed multi-dimensional experience sampling surveys eight times per day for five days as they went around their normal lives. Principal component analysis reduced these data to identify the dimensions that explained the patterns of thought reported by our participants. We used linear modelling to map how these thought patterns related to the activities taking place at the time of the probe, highlighting good consistency within the sample, as well as substantial overlap with prior work. Multiple regression was used to examine associations between patterns of ongoing thought and aspects of mental health and well-being, highlighting a pattern of "Intrusive Distraction" that had a positive association with anxiety, and a negative association with social well-being. Notably, this thought pattern tended to be most prevalent in solo activities and was relatively suppressed when interacting with other people (either in person or virtually). Our study, therefore, highlights the use of multi-dimensional experience sampling as a tool to understand how ongoing thoughts in daily life impact on our mental health and well-being, and establishes the important role social connectedness plays in the etiology of intrusive thinking.

neuroscience↗

Cell invasive amyloid assemblies from SARS-CoV-2 peptides can form multiple polymorphs with varying neurotoxicity

The neurological symptoms of COVID-19, such as memory loss, cognitive and sensory disruption (neuro-COVID) are well reported. These neurological symptoms frequently persist for months (post-acute sequalae of COVID-19 or PASC). The molecular origins of neuro-COVID and how it contributes to PASC are unknown, however a growing body of research highlights that the self-assembly of protein fragments from SARS-CoV-2 into amyloid nanofibrils may play a causative role. Previously, we identified two fragments from the proteins Open Reading Frame 6 (ORF6) and ORF10 that self-assemble into neurotoxic amyloid assemblies. Here we further our understanding of the self-assembly mechanisms and nano-architectures formed by these fragments as well as performing a more in-depth study of the biological responses of co-cultured neurons. By solubilising the peptides in a fluorinated solvent we eliminate insoluble aggregates in the starting materials (seeds) that change the polymorphic landscape of the assemblies. The resultant assemblies are dominated by structures with higher free energies (e.g. ribbons and amorphous aggregates) that are less toxic to cultured neurons. We also show the first direct evidence of cellular uptake by viral amyloids. This work highlights the importance of understanding the polymorphic behaviour of amyloids particularly in the context of neuro-COVID and PASC. Graphical Abstract for ToCThe neurological symptoms of COVID-19 are likely to be, in part, caused by the aggregation of viral proteins into neurotoxic amyloid nanofibrils. Changes in aggregation conditions alters the balance of fibril structures formed (polymorphism), influencing their toxicity to a neuronal cell line. These findings increase our understanding of viral amyloids and highlight the importance of careful choice of experimental protocol when studying these systems. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=161 SRC="FIGDIR/small/594465v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@68f505org.highwire.dtl.DTLVardef@ae3624org.highwire.dtl.DTLVardef@164a1f1org.highwire.dtl.DTLVardef@1c3f9d5_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

APOBEC shapes tumor evolution and age at onset of lung cancer in smokers

APOBEC enzymes are part of the innate immunity and are responsible for restricting viruses and retroelements by deaminating cytosine residues1,2. Most solid tumors harbor different levels of somatic mutations attributed to the off-target activities of APOBEC3A (A3A) and/or APOBEC3B (A3B)3-6. However, how APOBEC3A/B enzymes shape the tumor evolution in the presence of exogenous mutagenic processes is largely unknown. Here, by combining deep whole-genome sequencing with multi-omics profiling of 309 lung cancers from smokers with detailed tobacco smoking information, we identify two subtypes defined by low (LAS) and high (HAS) APOBEC mutagenesis. LAS are enriched for A3B-like mutagenesis and KRAS mutations, whereas HAS for A3A-like mutagenesis and TP53 mutations. Unlike APOBEC3A, APOBEC3B expression is strongly associated with an upregulation of the base excision repair pathway. Hypermutation by unrepaired A3A and tobacco smoking mutagenesis combined with TP53-induced genomic instability can trigger senescence7, apoptosis8, and cell regeneration9, as indicated by high expression of pulmonary healing signaling pathway, stemness markers and distal cell-of-origin in HAS. The expected association of tobacco smoking variables (e.g., time to first cigarette) with genomic/epigenomic changes are not observed in HAS, a plausible consequence of frequent cell senescence or apoptosis. HAS have more neoantigens, slower clonal expansion, and older age at onset compared to LAS, particularly in heavy smokers, consistent with high proportions of newly generated, unmutated cells and frequent immuno-editing. These findings show how heterogeneity in mutational burden across co-occurring mutational processes and cell types contributes to tumor development, with important clinical implications.

genomics↗

Protein deuteration via algal amino acids to overcome proton back-exchange for fast-MAS solid-state NMR of large proteins

With perdeuteration, a current standard for solid-state NMR spectroscopy, large proteins suffer from incomplete amide-proton back-exchange. Using a 72 kDa micro-crystalline protein, we show that deuteration exclusively via deuterated amino acids, largely suppressing sidechain protonation, provides spectral resolution comparable to perdeuterated preparations at intermediate spinning frequencies without proton back-exchange obstacles.

biochemistry↗

TALEN-induced contraction of CTG trinucleotide repeats in myotonic dystrophy type 1 cells

Trinucleotide repeat expansions are the cause of two dozen neurodegenerative and developmental disorders. One of these, myotonic dystrophy type 1 (Steinert disease, or DM1) is due to the expansion of a CTG triplet in the 3 UTR of the DMPK gene. We used highly specific DNA endonucleases to induce a double-strand break in the repeat tract to contract it below pathological length. Expression of a TALE Nuclease (TALEN) in human DM1 cells induced moderate CTG repeat contractions in 27% of the clones analyzed. These clones exhibited large internal deletions within the TALEN, occurring by homologous recombination between internal TALE repeats, inactivating the nuclease, and explaining its reduced efficacy. Taking advantage of the degeneracy of the genetic code, we recoded the TALEN sequence, to decrease internal redundancy and optimize codon usage. The new recoded TALEN showed increased efficacy in DM1 cells, with 68% of clones exhibiting a moderate to large contraction of the CTG repeat tract. In contrast, Staphylococcus aureus Cas9 (SaCas9) was unable to contract the CTG repeat tract. In parallel, we completely sequenced to very high coverage the DM1 genome using the PacBio technology. Several clones in which the TALEN was induced were also totally sequenced. In some of them, length changes of other long CTG repeats were detected, possibly corresponding to off-target effects, all of them in introns or intergenic regions. Repeat contractions were never associated with recombination of flanking markers, suggesting that contractions most probably occur by an intra-allelic mechanism such as single-strand annealing. TALENs should now be considered as a promising gene therapy approach, not only for DM1 but also for many other microsatellite expansion disorders.

genomics↗

Small fibre neuropathy in Fabry disease: a human-derived neuronal in vitro disease model

Acral burning pain triggered by fever, thermal hyposensitivity, and skin denervation are hallmarks of small fibre neuropathy in Fabry disease, a life-threatening X-linked lysosomal storage disorder. Variants in the gene encoding alpha-galactosidase A may lead to impaired enzyme activity with cellular accumulation of globotriaosylceramide (Gb3). To study the underlying pathomechanism of Fabry-associated small fibre neuropathy, we generated a neuronal in vitro disease model using patient-derived induced pluripotent stem cells from three Fabry patients and one healthy control. We further generated an isogenic control line via CRISPR/Cas9 gene editing. We subjected iPSC to targeted peripheral neuronal differentiation and observed intra-lysosomal Gb3 accumulations in somas and neurites of Fabry sensory neurons using super-resolution microscopy. At functional level, patch-clamp analysis revealed a hyperpolarizing shift of voltage-gated sodium channel steady-state inactivation kinetics in Fabry cell lines as compared to the healthy control. Moreover, we demonstrate a drastic increase in Fabry sensory neuron Ca2+ levels at 39{degrees}C mimicking clinical fever (p < 0.001). This pathophysiological phenotype was accompanied by thinning of neurite calibres in sensory neurons obtained from Fabry patients compared to healthy control cells (p < 0.001). Linear-Nonlinear cascade models fit to spiking responses revealed that Fabry cell lines exhibit altered single neuron encoding properties relative to control. We further observed jam of mitochondrial trafficking at sphingolipid accumulations within Fabry sensory neurites utilizing a click-chemistry approach together with mitochondrial dysmorphism compared to healthy control cells. We pioneer insights into the cellular mechanisms contributing to pain, thermal hyposensitivity, and denervation in Fabry small fibre neuropathy, and pave the way for further mechanistic in vitro studies in Fabry disease and the development of novel treatment approaches.

neuroscience↗

Cross-species comparison of pregnancy-induced GDF15

GDF15 (growth differentiation factor 15) is a stress-induced cytokine. Although the exact physiological function of GDF15 is not yet fully comprehended, the significant elevation of circulating GDF15 levels during gestation suggests a potential role for this hormone in pregnancy. This is corroborated by genetic association studies in which GDF15 and the GDF15 receptor, GDNF Family Receptor Alpha Like (GFRAL) have been linked to morning sickness and hyperemesis gravidarum (HG) in humans. Here, we studied GDF15 biology during pregnancy in mice, rats, macaques, and humans. In contrast to macaques and humans, mice and rats exhibited an underwhelming induction in plasma GDF15 levels in response to pregnancy ([~]75-fold increase in macaques vs. [~]2-fold increase in rodents). The changes in circulating GDF15 levels were corroborated by the magnitude of Gdf15 mRNA and GDF15 protein expression in placentae from mice, rats, and macaques. These species-specific findings may help guide future studies focusing on GDF15 in pregnancy and on the evaluation of pharmacological strategies to interfere with GDF15-GFRAL signaling to treat severe nausea and HG.

physiology↗

Integrated assessment of structure and dynamics of solid proteins via accurate solid-state NMR distance information

Understanding macromolecular function, interactions and stability hinges on detailed assessment of conformational ensembles. For solid proteins, accurate elucidation of the spatial aspects of dynamics at physiological temperatures are limited by the qualitative character or low abundance of solid-state NMR internuclear distance information. Here, we demonstrate access to abundant proton-proton internuclear distances for integrated structural biology and chemistry with unprecedented accuracy. Apart from highest-resolution single-state structures, the exact distances enable molecular dynamics (MD) ensemble simulations orchestrated by a dense network of experimental inter-proton distance boundaries gathered in the context of their physical lattices. This direct embedding of experimental ensemble distances into MD will provide access to representative, atomic-level spatial details of conformational dynamics in supramolecular assemblies, crystalline and lipid-embedded proteins, and beyond.

biophysics↗

Population structure and genetic variance among local populations of an non-native earthworm species in Minnesota, USA

A variety of human activities have been identified as driving factors for the release and spread of invasive earthworm species in North America. Population genetic markers can help to identify locally relevant anthropogenic vectors and provide insights into the processes of population dispersal and establishment. We sampled the invasive European earthworm species Lumbricus terrestris at nine sites and several bait shops within the metropolitan area of Minneapolis-St. Paul in Minnesota, USA. We used microsatellite markers to infer genetic diversity and population structure, and 16S rDNA to address multiple introduction events, including bait dumping, which is a common source of L. terrestris introductions into the wild. Our results indicate multiple introductions but not from current bait dumping. Overall, genetic structure was low and earthworms >5000 m apart were genetically differentiated, except for one sampling location, indicating jump-dispersal followed by population establishment. Further, earthworms at one location north of Minneapolis established from one or few founder individuals, suggesting that earthworm invasions are ongoing. We therefore encourage further monitoring of earthworm populations using molecular markers, in order to disentangle the different human-related vectors contributing to the spread of earthworms and their establishment, which is essential to develop adequate management strategies.

molecular biology↗

Patterns of Ongoing Thought in the Real-World

Previous research has indicated that health and well-being are impacted on by both the way we think, and the things we do. In the laboratory, studies suggest that specific task contexts affect this process because the people we are with, the places we are in, and the activities we perform may influence our thought patterns. In our study participants completed multi-dimensional experience-sampling surveys eight times per day for 5 days to generate thought data across a variety of dimensions in daily life. Principal component analysis was used to decompose the experience sampling data, and linear mixed modelling related these patterns to the activity in daily life in which they emerged. Our study replicated the influence of socializing on patterns of ongoing thought observed in our prior study and established that this is part of a broader set of relationship that links our current activities to how our thoughts are organised in daily life. We also found that factors such as time of day and the physical location are associated with reported patterns of thought, factors that are important for future studies to explore. Our study suggests that sampling thinking in the real world may be able to provide a set of comprehensive thinking-activity mappings that will be useful to researchers and health care professionals interested in health and well-being.

neuroscience↗

SNP discovery by exome capture and resequencing in a pea genetic resource collection

Background & SummaryIn addition to being the model plant used by Mendel1 to establish genetic laws, pea (Pisum sativum L., 2n=14) is a major pulse crop cultivated in many temperate regions of the world. In order to face new challenges imposed particularly by global climate change and new regulations targeted at reducing chemical inputs, pea breeders have to take advantage of the genetic diversity present in the Pisum genepool to develop improved, resilient varieties. The aim of this study was to assess the genetic diversity of a pea germplasm collection and allow genome-wide association studies using this collection. To be able to perform genome-wide association approaches with high resolution, genotyping with a large set of genetic markers such as Single Nucleotide Polymorphism (SNP) markers well-spread over the genome is required. Rapid advances in second-generation sequencing technologies and the development of bioinformatic tools have revolutionized the access to and the characterization of available genetic diversity. High-density, high-throughput genotyping has been possible for a large number of species, including those with large and complex genomes2 such as pea (2n=14) which genome size is estimated to be 4.45 Gb3. In this study, which is part of the PeaMUST project4, we used a target capture technology based on pea transcriptome sequences to generate exome-enriched genomic libraries that were further subjected to Illumina sequencing in paired-end mode. This methodology was chosen because whole-genome resequencing is relatively expensive for species with large genomes and because capturing genetic variations in repeated non-coding regions is difficult to achieve or to interpret5. Whole-exome sequencing represented an interesting alternative that focused on coding regions only6,7. Mapping the obtained reads on the reference pea genome sequence enabled the discovery of an abundant set of SNPs. The development of this resource is a crucial cornerstone in research and breeding projects towards boosting the improvement of pea production and quality.

genomics↗