Development Of Molecular Markers Research Articles

Development and validation of a functional molecular marker for a CaAPRR2-like gene that controls green fruit colour in pepper

Fruit colour is a crucial factor influencing both the marketability and quality of pepper (Capsicum annuum), particularly ornamental varieties. Fruit colour is a complex multigenic trait in plant species. Previously, the Arabidopsis pseudo-response regulator 2 (APRR2) gene, one of the regulators that control fruit chlorophyll content and chloroplast development, thereby influencing fruit colour at the green immature stage in tomato (Solanum lycopersicum), cucumber (Cucumis sativus) and pepper, was reported. Functional molecular markers associated with this homologous gene in pepper could be employed to discern fruit colour at the seedling stage, thus improving the efficiency of green/white-fruited pepper breeding. In this study, a derived cleaved amplified polymorphic sequences (dCAPS) marker was developed based on the mutation site in the sequence of a CaAPRR2-like gene that was cloned from the inbred line B1-2, which exhibits milky white fruit at the green immature stage. The marker was subsequently validated in a CaAPRR2-like progeny segregation population. After digestion with the restriction endonuclease TaqI, the amplification product exhibited evident polymorphic bands, enabling it to distinguish between peppers with milky white and green fruit colours. The developed molecular marker displayed remarkable stability and repeatability, thus offering a straightforward and effective tool for enhancing fruit colour in pepper breeding programs.

Development of molecular markers based on real-time PCR to detect flax and sesame in commercial amaranth products.

The online version contains supplementary material available at 10.1007/s10068-024-01584-2.

Cerebrovascular miRNAs Track Early Development of Alzheimer's Disease and Target Molecular Markers of Angiogenesis and Blood Flow Regulation.

Alzheimer's disease (AD) is associated with impaired cerebral circulation which underscores diminished delivery of blood oxygen and nutrients to and throughout the brain. In the 3xTg-AD mouse model, we have recently found that > 10 cerebrovascular miRNAs pertaining to vascular permeability, angiogenesis, and inflammation (e.g., let-7d, miR-99a, miR-132, miR-133a, miR-151-5p, and miR-181a) track early development of AD. Further, endothelial-specific miRNAs (miR-126-3p, miR-23a/b, miR-27a) alter with onset of overall AD pathology relative to stability of smooth muscle/pericyte-specific miRNAs (miR-143, miR-145). We tested the hypothesis that cerebrovascular miRNAs indicating AD pathology share mRNA targets that regulate key endothelial cell functions such as angiogenesis, vascular permeability, and blood flow regulation. As detected by NanoString nCounter miRNA Expression panel for 3xTg-AD mice, 61 cerebrovascular miRNAs and respective mRNA targets were examined using Ingenuity Pathway Analysis for canonical Cardiovascular (Cardio) and Nervous System (Neuro) Signaling. The number of targets regulated per miRNA were 21±2 and 33±3 for the Cardio and Neuro pathways respectively, whereby 14±2 targets overlap among pathways. Endothelial miRNAs primarily target members of the PDE, PDGF, SMAD, and VEGF families. Individual candidates regulated by≥4 miRNAs that best mark AD pathology presence in 3xTg-AD mice include CFL2, GRIN2B, PDGFB, SLC6A1, SMAD3, SYT3, and TNFRSF11B. miRNAs selective for regulation of endothelial function and respective downstream mRNA targets support a molecular basis for dysregulated cerebral blood flow regulation coupled with enhanced cell growth, proliferation, and inflammation.

Allelic differences in the key genes of betalain biosynthesis in table beet accessions with contrasting root color from the VIR collection

Background. Table beet (Beta vulgaris L.) contains a great amount of naturally red-colored betanins. A number of enterprises are forced to import foreign dyes because the reserves of domestic plant raw materials are insufficient. With this in view, the development of cultivars with high betalain pigment content is now required.Materials and methods. Allelic differences were screened in the key genes of the betalain biosynthesis pathway among table beet accessions with various root color from the VIR collection using the Sanger DNA sequencing method.Results and discussion. For the first time we identified a nonsense mutation in the CYP76AD1 gene in cv. ‘Serdolik’ with yellow flesh; it led to the truncation of the functional P450 domain. We suggested that the detected polymorphism correlated with phenotypic switching because the well-known role of CYP76AD1 was essential for the red betalain accumulation. Moreover, a number of missense mutations in cv. ‘Avalanche’ in the first exon of the BvDODA1 gene were found. These mutations were probably associated with the expression of the uncolored phenotype. An in silico analysis revealed highly homologous copies of CYP76AD5, located tandemly on chromosome 9. Attention should be paid to these copies, together with the CYP76AD6 gene, as they seem the most preferable targets for a knockout to increase the red pigment content.Conclusion. It is possible to identify the best table beet accessions for further genome editing among a previously selected high-betanin group. In addition, this study revealed the allelic differences in the key genes of the betalain biosynthesis pathway. These results will be useful for the development of DNA molecular markers to facilitate the selection of table beet forms with required properties.

The complete plastome and phylogenetic analysis of Commelina benghalensis L.1753 (Commelinaceae)

Commelina benghalensis L. 1753, a member of the Commelinaceae family, holds significant medicinal and culinary value. This study represents the first documentation of the sequencing and assembly of the entire plastome of C. benghalensis. The genome spans a total length of 160,663 bp, exhibiting a conventional quadripartite architecture that comprises a large single-copy (LSC) region (87,750 bp), a small single-copy (SSC) region (18,417 bp), and two inverted repeats (IR) regions (both 27,248 bp). In its entirety, the C. benghalensis plastome encompasses 129 genes (with 108 being unique), incorporating 77 individual protein-coding genes, 37 unique tRNA genes, and four unique rRNA genes. Phylogenetic analysis revealed a close resemblance between C. benghalensis and C. communis. The sequencing of this plastome stands to expedite the development of molecular markers and significantly contribute to genetic assays involving this distinctive plant.

Phylogenetic relationships, selective pressure and molecular markers development of six species in subfamily Polygonoideae based on complete chloroplast genomes

The subfamily Polygonoideae encompasses a diverse array of medicinal and horticultural plants that hold significant economic value. However, due to the lack of a robust taxonomy based on phylogenetic relationships, the classification within this family is perplexing, and there is also a scarcity of reports on the chloroplast genomes of many plants falling under this classification. In this study, we conducted a comprehensive analysis by sequencing and characterizing the complete chloroplast genomes of six Polygonoideae plants, namely Pteroxygonum denticulatum, Pleuropterus multiflorus, Pleuropterus ciliinervis, Fallopia aubertii, Fallopia dentatoalata, and Fallopia convolvulus. Our findings revealed that these six plants possess chloroplast genomes with a typical quadripartite structure, averaging 162,931 bp in length. Comparative chloroplast analysis, codon usage analysis, and repetitive sequence analysis demonstrated a high level of conservation within the chloroplast genomes of these plants. Furthermore, phylogenetic analysis unveiled a distinct clade occupied by P. denticulatum, while P. ciliinrvis displayed a closer relationship to the three plants belonging to the Fallopia genus. Selective pressure analysis based on maximum likelihood trees showed that a total of 14 protein-coding genes exhibited positive selection, with psbB and ycf1 having the highest number of positive amino acid sites. Additionally, we identified four molecular markers, namely petN-psbM, psal-ycf4, ycf3-trnS-GGA, and trnL-UAG-ccsA, which exhibit high variability and can be utilized for the identification of these six plants.

Development and utilization of genome-wide InDel markers in Sorghum [Sorghum bicolor (L.) Moench

Sorghum (Sorghum bicolor L. Moench) has become an increasingly valuable crop for food, feed, and especially bioenergy feedstock production, which makes the crop extremely attractive for studying genomics and genetic diversity. Molecular markers and genomics play essential roles in sorghum breeding. The rapid development of next-generation sequencing technology has facilitated the identification of genome-wide insertion-deletion (InDel) polymorphisms, enabling the efficient construction of InDel markers that are suitable for user-friendly PCR. This study was conducted with the objective of discovering and developing InDel markers using double digest restriction site-associated DNA sequencing (ddRAD-Seq) data. A total of 19,226 InDels distributed across 10 chromosomes in the sorghum genome was identified. Of those, deletions constituted 65.7% while the remain was insertions. A comprehensive analysis of all the chromosomes revealed a total of 80 InDel sites with a minimum length of 10 bp. For a good conversion of the InDel regions to beneficial molecular markers, specific primers were designed for the amplification of 47 InDel regions that were selected for further investigation. A diverse panel of sorghum consisting of 16 accessions served a source for the developed InDel markers validation. Of the 47 InDel markers, 14 were tested across 16 sorghum accessions and were demonstrated their helpfulness for marker-assisted selection in sorghum. The polymorphic information content (PIC) values of the 16 markers varied between 0.11 and 0.38, with an average of 0.28. The findings of this study indicated that the identification of InDels and the development of molecular markers for sorghum were accomplished using the ddRAD-Seq data.

Fine mapping and analysis of a candidate gene controlling Phytophthora blight resistance in cucumber.

Cucumber blight is a destructive disease. The best way to control this disease is resistance breeding. This study focuses on disease resistance gene mapping and molecular marker development. We used the resistant cucumber, JSH, and susceptible cucumber, B80, as parents to construct F2 populations. Bulked segregant analysis (BSA) combined with specific length amplified fragment sequencing (SLAF-seq) were used, from which we developed cleaved amplified polymorphic sequence (CAPs) markers to map the resistance gene. Resistance in F2 individuals showed a segregation ratio of resistance:susceptibility close to 3:1. The gene in JSH resistant cucumber was mapped to an interval of 9.25 kb, and sequencing results for the three genes in the mapped region revealed three mutations at base sites 225, 302, and 591 in the coding region of Csa5G139130 between JSH and B80, but no mutations in coding regions of Csa5G139140 and Csa5G139150. The mutations caused changes in amino acids 75 and 101 of the protein encoded by Csa5G139130, suggesting that Csa5G139130 is the most likely resistance candidate gene. We developed a molecular marker, CAPs-4, as a closely linked marker for the cucumber blight resistance gene. This is the first report on mapping of a cucumber blight resistance gene and will provideg a useful marker for molecular breeding of cucumber resistance to Phytophthora blight.

Genome-wide association study and development of molecular markers for yield and quality traits in peanut (Arachis hypogaea L.)

BackgroundThis study aims to decipher the genetic basis governing yield components and quality attributes of peanuts, a critical aspect for advancing molecular breeding techniques. Integrating genotype re-sequencing and phenotypic evaluations of seven yield components and two grain quality traits across four distinct environments allowed for the execution of a genome-wide association study (GWAS).ResultsThe nine phenotypic traits were all continuous and followed a normal distribution. The broad heritability ranged from 88.09 to 98.08%, and the genotype-environment interaction effects were all significant. There was a highly significant negative correlation between protein content (PC) and oil content (OC). The 10× genome re-sequencing of 199 peanut accessions yielded a total of 631,988 high-quality single nucleotide polymorphisms (SNPs), with 374 significant SNP loci identified in association with the nine traits of interest. Notably, 66 of these pertinent SNPs were detected in multiple environments, and 48 of them were linked to multiple traits of interest. Five loci situated on chromosome 16 (Chr16) exhibited pleiotropic effects on yield traits, accounting for 17.64–32.61% of the observed phenotypic variation. Two loci on Chr08 were found to be strongly associated with protein and oil contents, accounting for 12.86% and 14.06% of their respective phenotypic variations, respectively. Linkage disequilibrium (LD) block analysis of these seven loci unraveled five nonsynonymous variants, leading to the identification of one yield-related candidate gene and two quality-related candidate genes. The correlation between phenotypic variation and SNP loci in these candidate genes was validated by Kompetitive allele-specific PCR (KASP) marker analysis.ConclusionsOverall, molecular markers were developed for genetic loci associated with yield and quality traits through a GWAS investigation of 199 peanut accessions across four distinct environments. These molecular tools can aid in the development of desirable peanut germplasm with an equilibrium of yield and quality through marker-assisted breeding.

Development of nicotiana-specific molecular markers and their application in a loop-mediated isothermal amplification assay

An effective identification method for detecting illegal goods involving raw tobacco material is crucial for tobacco monopolies to conduct surveillance. We developed Nicotiana-specific molecular markers to determine whether seized goods contain raw tobacco material. The sequence data for genes related to the nicotine metabolism pathway and genomic data from the public Solanaceae database were used to establish Nicotiana-specific molecular markers. These markers were determined by experimentally verifying 17 types of nontobacco plant material and 91 types of tobacco material belonging to 11 sections of 3 subgenera. Two reliable Nicotiana-specific markers, Ntsp027 and Ntsp151, were selected from among the 209 newly developed markers. The results indicated that the primers corresponding to these two markers can amplify the target fragments in the 91 types of Nicotiana material without amplification of any PCR products in the 17 types of non-Nicotiana material. Furthermore, utilizing the marker Ntsp151, we verified the efficacy of the loop-mediated isothermal amplification (LAMP) assay in authenticating tobacco material. The identification of 21 tea-cigarette products via the combination of GC‒MS, a Nicotiana-specific molecular marker and LAMP methods underscores the utility of Nicotiana-specific DNA markers in determining whether illegal goods contain raw tobacco material. Our results indicate an impressive accuracy rate of 100%, which is consistent with the reliability assessment, underscoring the accuracy of these markers in effectively identifying tobacco material. Our findings can significantly augment the capacity for surveillance and anticounterfeiting efforts by aiding the fight against illicit trade and ensuring the integrity of all tobacco-related products in the market.

Molecular characterization of Indian races of Fusarium oxysporum f. sp. lentis (Fol) based on secreted in Xylem (SIX) effector genes and development of a SIX11 gene-based molecular marker for specific detection of Fol.

Fusarium wilt of lentil caused by Fusarium oxysporum f. sp. lentis (Fol) is a destructive pathogen limiting lentil production in India. In the present study, Secreted in Xylem (SIX) effectors genes were explored in Indian races of Fol and also a diagnostic tool for reliable detection of the disease was developed. Four SIX effectors genes, SIX11, SIX13, SIX6 and SIX2 were identified in 12 isolates of Fol belonging to seven races. SIX11 was present in all the races while SIX 13 was absent in race 6 and SIX6 was present only in race 4. The phylogenetic analysis revealed the conserved nature of the SIX genes within the forma specialis and showed sequence homology with F. oxysporum f. sp. pisi. The presence of three effectors, SIX11, SIX13 and SIX6 in race 4 correlates with high disease incidence in lentil germplasms. The in-silico characterization revealed the presence of signal peptide and localization of the effectors. Further SIX11 effector gene present in all the isolates was used to develop Fol-specific molecular marker for accurate detection. The marker developed could differentiate F. oxysporum f. sp. lycopersici, F. solani, F. oxysporum, Rhizoctonia solani and Sclerotium rolfsii and had a detection limit of 0.01ng μL- 1. The effector-based marker detection helps in the unambiguous detection of the pathogen under field conditions.

Durian (Durio zibethinus L.): Nutritional Composition, Pharmacological Implications, Value-Added Products, and Omics-Based Investigations

Durian (Durio zibethinus L.), a tropical fruit celebrated in Southeast Asia for its distinct flavor, is the focus of this comprehensive review. The fruit’s pulp is rich in high-value bioactive compounds, including gamma-glutamylcysteine, a precursor to the essential antioxidant glutathione. With durian cultivation gaining prominence in Southeast Asia due to its economic potential through cultivar enhancement, an in-depth examination of durian-related research becomes crucial. This review explores the health benefits of durian, analyzing the nutritional compositions and bioactive compounds present in the pulp, peel, and seed. It also underscores durian-based food products and the potential for valorizing durian waste. This review encapsulates the significant advancements made in omics-based research, aimed at deciphering the molecular complexities of durian fruit post-harvest ripening and the metabolic shifts impacting its sensory attributes. It is the first to summarize studies across genome, transcriptome, and metabolome levels. Future research should prioritize the development of molecular markers to accelerate the breeding of elite cultivars with preferred traits. It also proposes the exploration of durian waste valorization, including underexplored parts like flowers and leaves for their bioactive compounds, to promote a sustainable bioeconomy. Finally, it suggests the development of innovative durian products catering to the tastes of health-conscious consumers.

Assembly and characterization of the complete mitochondrial genome of Descurainia sophia: a medical plant producing glucosinolate

As a commonly used traditional Chinese medicine, Descurainia sophia has various reported pharmacological activities such as prevention of chronic diseases, cardiovascular protection, neuroprotection, anticancer, antioxidant, and has high nutritional values, but its mitochondrial genome (mitogenome) has not been reported. In this study, the D. sophia mitogenome was sequenced, assembled and annotated using next generation sequencing technologies on the Illumina HiSeq and PacBio Sequel platform. The results showed that the D. sophia mitogenome was a circular DNA molecule with the length of 265,457 bp and the GC content of 44.78%, encoding unique 56 genes, including 35 protein coding genes, 18 tRNA genes and 3 rRNA genes. We analyzed codon preference, repeated sequences, DNA sequence transformation, phylogenetic relationship, RNA editing and synteny in the D. sophia mitogenome. Based on the DNA sequences of mitogenomes, the phylogenetic and synteny analysis indicated that D. sophia was more closely related to Boechera stricta, and the mitogenome of D. sophia underwent frequent genome recombination. In this study, we obtained the complete mitogenome of D. sophia, which can provide valuable data support for future studies on genetic characteristics, phylogenetic relationships, species identification and development of new molecular markers in D. sophia.

The improvement of the CAPS-marker for St, J and V subgenome identification in Triticeae tribe plants using the 5S non-transcribed spacer polymorphism

In the Triticeae tribe, several subgenomes (St, J, V and others) were described, and a subgenome-specific molecular marker development is an actual branch of studies. Non-transcribed spacers (NTS) of 5S rDNA are perspective to create species-specific or genome-specific molecular markers in closely related organisms. Early, the 5S rDNA NTS based CAPS marker (StJV-f/StJV-r primers with the SmiM1 enzyme digestion) was designed for identification of the St, J and V subgenomes. The V subgenome amplicons were differed from the St and J amplicons in length. The St amplicons were distinguishable from the J amplicons after the SmiM1 enzyme digestion (St fragments were digested, J fragments were not digested, which is a disadvantage, because a failure with the digestion of St amplicons can be mistaken for J amplicons). This article presents the results of the StJV marker improvement. Comparative analysis of restriction enzyme maps revealed that the Hpy166 II enzyme cuts the StJV amplicons of all studied subgenomes in such a way that different product patterns are obtained. Experimental testing confirmed this finding. Thus, the improved CAPS marker can serve as a promising tool for verifying samples in Triticeae plant collections, screening herbarium materials, as well as in the breeding process aimed at improving wheat by involving its wild relatives in traditional breeding programs efficiently.

Characterization of the complete mitochondrial genome of Paecilomyces variotii and comparative evolutionary mitochondriomics of 36 fungi.

Paecilomyces variotii has important economic value in stimulating crop growth, biodegradation, and other aspects. Up to now, there are no research reports on its mitochondrial genome. The mitochondrial genome of Paecilomyces variotii was determined with the next-generation sequencing method (Illumina, NovaSeq), and its characteristics were analyzed using various bioinformatics approaches. The length of complete mitochondrial genome sequence of P. variotii is 40,965bp and consists of 14 protein-coding genes, 2 ribosomal RNA genes, 1 ribosomal protein S3 gene, 26 transport RNA genes. The results of phylogenetics analysis using Bayesian inference and Maximum likelihood methods showed that P. variotii belongs to the Eurotiales order in the Thermoascaceae family, and 9 genera within the Eurotiomycetes class were effectively distinguished with high support rates (bootstrap value > 92% and posterior probabilities > 99%). The analysis of synonymous substitution rates and nonsynonymous substitution rates indicated that the Ka/Ks values of the 14 PCGs in the mitochondrial genomes of the two orders in the Eurotiomycetes class ranged from 0 to 0.4333. This study revealed the structural and sequence information characteristics of the mitochondrial genome of P. variotii, and the phylogenetic results strongly support its classification within the family Thermoascaceae, consistent with traditional morphological taxonomy studies. The 14 PCGs in the mitochondrial genomes of the two orders in the Eurotiomycetes class are subject to strong purifying (negative) selection. The results of this research provides an important molecular basis for the development of genomics, evolutionary genetics and molecular markers of P. variotii in the future.

Genetic diversity of the entomopathogenic fungus Metarhizium rileyi based on de novo microsatellite markers

Epizootics of the entomopathogenic fungus Metarhizium rileyi regulate lepidopteran populations in soybean, cotton, and peanut agroecosystems to the point that insecticide applications could be unnecessary. However, the contribution and how different strains operate during the epizootic are unknown. Several unanswered questions remain: 1. How many genotypes of M. rileyi are present during an epizootic? 2. Which genotype is the most common among them? 3. Are the genotypes involved in annual epizootics at the same location the same? Therefore, the development of molecular markers to accurately identify these genotypes is very important to answer these questions. SSR primers were designed by prospecting in silico to discriminate genotypes and infer the genetic diversity of M. rileyi isolates from the collection kept at Embrapa Soybean. We tested 13 SSR markers on 136 isolates to identify 43 clones and 12 different genetic clusters, with genetic diversity ranging from Hs = 0.15 (cluster I) to Hs = 0.41 (cluster IV) and an average diversity of 0.24. No clusters were categorically distinguished based on hosts or geographical origin using Bayesian clustering analysis. Nonetheless, some clusters comprised most of the isolates with a common geographic origin; for example, cluster VIII was mainly composed of isolates from Central-western Brazil, cluster II from Southern Brazil, and cluster XII from Quincy, Northern Florida, in the United States. Underrepresented regions (few isolates) from Pacific Island nations of Japan, the Philippines, and Indonesia (specifically from Java) were placed into clusters IX and X. Although the analyzed isolates displayed evidence of clonal structure, the genetic diversity indices suggest a potential for the species to adapt to different environmental conditions.

Status, Gaps and Perspectives of Powdery Mildew Resistance Research and Breeding in Cucurbits

Cucurbitaceae, the gourd family of flowering plants, is a very large and diverse family, the order Cucurbitales, contains 95 genera and 950–980 species of food and ornamental plants, and wild and weedy species mostly with high genetic diversity. This review is focused on the most important cucurbit crops (Cucumis sativus, Cucumis melo, Cucurbita spp., Citrullus lanatus, Momordica charantia, Lagenaria siceraria, and Luffa acutangula) and some their wild relatives as hosts of cucurbit powdery mildews (CPM). Powdery mildews (PM) (Ascomycota, Erysiphales) are one of the most frequently encountered and easily visible groups of plant pathogenic fungi with > 900 species. They are obligate biotrophs, they colonize above-ground plant tissues, mostly leaves, though they may also colonize stems, petioles, flowers and fruits, and they are usually debilitators, not killers. These parasitic fungi have been problematic on cucurbits for a long time world-wide, causing serious economic losses in yield and quality. All economically important cucurbit crops host CPM. Seven PM species with different taxonomic positions, host ranges, geographic distributions and ecological requirements are known on cucurbits. CPM species taxonomy and denomination rapidly changed during last few decades through detailed analyses and clarifications. At least three PM species frequently parasitize cucurbits: the endoparasite Leveillula taurica (Lt) with marginal economic importance; and two ectoparasitic species, Golovinomyces orontii (Go), and Podosphaera xanthii (Px), which are economically important world-wide. The two pathogens differ in ecological requirements and distribution, though they may occur together in mixed infections. They are highly variable at the population level for virulence, race identities, and fast adaptation of pathogens. Cucurbit-CPM species interactions are diverse and complicated, and differ between hosts and their respective pathogen genera and species. Here we present a critical overview of obstacles, gaps and recent progress in these matters for six cucurbit genera with respect to resistance resources, genetics of resistance, genetic mapping and development of molecular markers, physiology and mechanisms of resistance, developments in mlo-mediated resistance, patents, and CPM resistance breeding.

Genome-Enabled Analysis of Population Dynamics and Virulence-Associated Loci in the Oat Crown Rust Fungus Puccinia coronata f. sp. avenae.

Puccinia coronata f. sp. avenae (Pca) is an important fungal pathogen causing crown rust that impacts oat production worldwide. Genetic resistance for crop protection against Pca is often overcome by the rapid virulence evolution of the pathogen. This study investigated the factors shaping adaptive evolution of Pca using pathogen populations from distinct geographic regions within the United States and South Africa. Phenotypic and genome-wide sequencing data of these diverse Pca collections, including 217 isolates, uncovered phylogenetic relationships and established distinct genetic composition between populations from northern and southern regions from the United States and South Africa. The population dynamics of Pca involve a bidirectional movement of inoculum between northern and southern regions of the United States and contributions from clonality and sexuality. The population from South Africa is solely clonal. A genome-wide association study (GWAS) employing a haplotype-resolved Pca reference genome was used to define 11 virulence-associated loci corresponding to 25 oat differential lines. These regions were screened to determine candidate Avr effector genes. Overall, the GWAS results allowed us to identify the underlying genetic factors controlling pathogen recognition in an oat differential set used in the United States to assign pathogen races (pathotypes). Key GWAS findings support complex genetic interactions in several oat lines, suggesting allelism among resistance genes or redundancy of genes included in the differential set, multiple resistance genes recognizing genetically linked Avr effector genes, or potentially epistatic relationships. A careful evaluation of the composition of the oat differential set accompanied by the development or implementation of molecular markers is recommended. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Identification of novel QTLs for resistance to late leaf spot in peanut by SNP array and QTL-seq

Late leaf spot (LLS) is one of important diseases that causes severe yield losses in peanut. Peanut has various sources of resistance to LLS, and the identification of resistant QTLs and the development of related molecular markers are of great importance for breeding of LLS-resistant peanut. In this study, 173 individual lines of a recombinant inbred line (RIL) population and 48K SNP array for genotyping were used to construct a high-density genetic map with 1475 SNP marker and 20 linkage groups. A total of 11 QTLs were obtained through QTL analysis using the constructed genetic map. Among them, a stable major QTL qLLS.LG02 was identified on linkage group 2 in all six environments, with a phenotypic variation explained (PVE) ranging from 15.57 to 31.09%. Additionally, QTL-seq technology was also employed for QTL analysis of LLS resistance. As a result, 14 QTL loci related to LLS resistance were identified using the G prime algorithm. Notably, physical position of qLLS02 and qLLS03 are coincided with that of qLLS.LG02 and qLLS.LG03 respectively. Gene annotation analysis within the 14 QTL intervals by QTL-seq revealed that there were a total of 163 NBS-LRR disease resistance genes, accounting for 22.86% of all R genes in peanut genome and showing a 4.26-fold enrichment with a p-value of 5.19e-57. Within the QTL region qLLS02 of the resistant parent Mi-2, there was a 5 Mb structural variation interval (SV) containing 81 NBS-LRR genes. A PCR diagnostic marker was developed, and validation data suggest that this SV might lead to gene deletion or replacement with other genes. This SV has the potential to enhance peanut resistance to late leaf spot disease. This study holds significant implications for improving peanut breeding for LLS resistance through development of associated molecular markers.

Inflammatory Response Associated with West Nile Neuroinvasive Disease: A Systematic Review.

West Nile virus (WNV) infection is a seasonal arbovirosis with the potential to cause severe neurological disease. Outcomes of the infection from WNV depend on viral factors (e.g., lineage) and host-intrinsic factors (e.g., age, sex, immunocompromising conditions). Immunity is essential to control the infection but may also prove detrimental to the host. Indeed, the persistence of high levels of pro-inflammatory cytokines and chemokines is associated with the development of blood-brain barrier (BBB) damage. Due to the importance of the inflammatory processes in the development of West Nile neuroinvasive disease (WNND), we reviewed the available literature on the subject. According to the 2020 updated PRISMA guidelines, all peer-reviewed articles regarding the inflammatory response associated with WNND were included. One hundred and thirty-six articles were included in the data analysis and sorted into three groups (in vitro on-cell cultures, in vivo in animals, and in humans). The main cytokines found to be increased during WNND were IL-6 and TNF-α. We highlighted the generally small quantity and heterogeneity of information about the inflammatory patterns associated with WNND. Further studies are needed to understand the pathogenesis of WNND and to investigate the extent and the way the host inflammatory response either helps in controlling the infection or in worsening the outcomes. This might prove useful both for the development of target therapies and for the development of molecular markers allowing early identification of patients displaying an inflammatory response that puts them at a higher risk of developing neuroinvasive disease and who might thus benefit from early antiviral therapies.