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Mitochondrial DNA mutation detection by electrospray mass spectrometry.

BACKGROUND: Mitochondrial DNA (mtDNA) mutations cause a large spectrum of clinically important neurodegenerative, neuromuscular, cardiovascular, and endocrine disorders. We describe the novel application of electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR MS) to the rapid and accurate identification of pathogenic mtDNA variants. METHODS: In a blinded study, we used ESI-FTICR MS to analyze 24 unrelated samples of total cellular DNA containing 12 mtDNA variants and compared the results with those obtained by conventional PCR-restriction fragment length polymorphism (PCR-RFLP) analysis and gel electrophoresis. RESULTS: From the 24-sample blinded panel, we correctly identified 12 of the samples as bearing an mtDNA variant and found the remaining 12 samples to have no pathogenic variants. The correlation coefficient between the 2 methods for mtDNA variant detection was 1.0; there were no false positives or false negatives in this sample set. In addition, the ESI-FTICR method identified 4 single-nucleotide polymorphisms (SNP) that had previously been missed by standard PCR-RFLP analysis. CONCLUSIONS: ESI-FTICR MS is a rapid, sensitive, and accurate method for the identification and quantification of mtDNA mutations and SNPs.

DNA, Mitochondrial↗

A model of coronary artery endothelial dysfunction in the sleeping lamb.

BACKGROUND AND PURPOSE: Much remains unknown about the regulation of coronary artery blood flow (CBF), particularly during sleep and sleep-related disease states such as obstructive sleep apnoea (OSA). Mediators produced by the endothelium are known to be crucial in the regulation of CBF, particularly vasodilator substances such as nitric oxide. Endothelial dysfunction with altered vascular reactivity has been identified in disease states such as atherosclerosis, OSA and sepsis, but as yet its potential effects on CBF during sleep or OSA is unknown. We aimed to produce a novel animal model of coronary artery endothelial dysfunction, subsequently to be used to study the role of the endothelium in regulating CBF during OSA. METHODS: Lambs (n=6) were instrumented under general anaesthesia (2% Halothane, 50% O2, balance N2O) for recording CBF (Transonic flow probe around circumflex coronary artery), central arterial blood pressure (Pca), central venous pressure (Pjv) and sleep monitoring (bio-electrodes). Coronary vascular resistance (CVR) was calculated as (Pca-Pjv)/CBF. Following>or=72 h of recovery, endothelial damage was induced by infusing lipopolysaccharide (LPS, 2 microg/kg over 30 min) on 3 successive days. The day before and the day after the period of LPS infusion, sleep studies were performed and coronary artery endothelial function was assessed by comparing CBF and CVR responses to left atrial injection of endothelial-dependent (Acetylcholine [Ach]) and independent (sodium nitroprusside [SNP]) vasodilators. RESULTS: Prior to LPS, arterial blood pressure was lower in tonic active sleep (AS) and higher in phasic AS than wakefulness. CBF and arterial blood pressure were slightly higher in phasic AS compared to tonic AS, and were the same in quiet sleep compared to quiet wakefulness. CVR did not differ across sleep states. After LPS, systolic blood pressure was reduced compared to before LPS in all sleep states, while other parameters were unchanged. Prior to LPS treatment, increasing doses of Ach (0.0001-1.0 microg/kg) and SNP (0.45-4.5 microg/kg) led to progressive reductions in CVR and increases in CBF. After LPS treatment, the fall in CVR and increase in CBF in response to Ach was attenuated (two-way repeated measures analysis of variance (ANOVA), P<0.05), whereas it was unchanged in response to SNP. CONCLUSION: LPS leads to impaired coronary artery vasodilation in response to endothelial-dependent, but not endothelial-independent vasodilators. This novel model of coronary artery endothelial dysfunction in the sleeping lamb will provide the opportunity to study the regulation of CBF during OSA.

Acetylcholine↗

Genome-wide expression analysis detects eight genes with robust alterations specific to bipolar I disorder: relevance to neuronal network perturbation.

The limited number of genome-wide transcriptome analyses using the postmortem brains of bipolar disorder sufferers has not produced a clear consensus on the molecular pathways affected by the disorder. To expand the knowledge in this area, we examined the expression levels of more than 12 000 genes in Brodmann's Area (BA), 46 (dorsolateral prefrontal cortex) from bipolar I disorder and control samples using Affymetrix GeneChips. This analysis detected 108 differentially expressed genes in bipolar brains. Validation studies using quantitative RT-PCR on the two original diagnostic cohorts plus tissue from schizophrenic subjects, confirmed the differential expressions of eight genes (RAP1GA1, SST, HLA-DRA, KATNB1, PURA, NDUFV2, STAR and PAFAH1B3) in a bipolar-specific manner and one gene (CCL3) which was downregulated in both bipolar and schizophrenic brains. Of these, protein levels of RAP1GA1 (RAP1 GTPase activating protein 1) showed a trend of increase in BA46 from bipolar brains, in keeping with mRNA transcript levels. Transmission disequilibrium analysis of the nine genes using 43 single nucleotide polymorphisms (SNPs) in 229 National Institute of Mental Health bipolar trios exposed nominal SNP association and modest empirical haplotypic association (P=0.033) between SST (somatostatin) and disease. Finally, gene network analysis using the currently obtained expression data highlighted cellular growth and nervous system development pathways as potential targets in the molecular pathophysiology of bipolar disorder.

1-Alkyl-2-acetylglycerophosphocholine Esterase↗

C957T DRD2 polymorphism is associated with schizophrenia in Spanish patients.

OBJECTIVE: The objective was to confirm whether a homozygous genotype for the C957 allele of the C957T DRD2 gene single nucleotide polymorphism (SNP) is associated with schizophrenia in an independent study population. METHOD: We examined the genotypic distribution of this SNP in a set of clinically ascertained schizophrenic patients (n = 131) and age-matched control subjects (n = 364). Individuals were genotyped using automated analysis of fluorescently labeled PCR products. RESULTS: The distribution of grouped genotypes for the C957T DRD2 SNP (CC vs. CT, TT) showed that C homozygote genotype was over-represented in our patient sample when compared with control subjects. This difference reaches the statistical significance (chi(2) = 7.0; df = 1; P = 0.008; OR = 2.05; % CI 1.2-3.4). CONCLUSION: The findings of this study provide additional evidence that genetic variation at the DRD2 gene plays an important role in the vulnerability to schizophrenia.

Adult↗

Evidence for a colorectal cancer susceptibility locus on chromosome 3q21-q24 from a high-density SNP genome-wide linkage scan.

To identify a novel susceptibility gene for colorectal cancer (CRC), we conducted a genome-wide linkage analysis of 69 pedigrees segregating colorectal neoplasia in which involvement of known loci had been excluded, using a high-density single nucleotide polymorphism (SNP) array containing 10,204 markers. Multipoint linkage analyses were undertaken using both non-parametric (model-free) and parametric (model-based) methods. After the removal of SNPs in strong linkage disequilibrium, we obtained a maximum non-parametric linkage statistic of 3.40 (P=0.0003) at chromosomal region 3q21-q24. The same genomic position also yielded the highest multipoint heterogeneity LOD (HLOD) score under a dominant model (HLOD=3.10, genome-wide P=0.038) with 62% of families linked to the locus. We provide evidence for a novel CRC susceptibility gene. Further studies are needed to confirm this localization and to evaluate the contribution of this locus to disease incidence.

Chromosome Mapping↗

Investigation of altering single-nucleotide polymorphism density on the power to detect trait loci and frequency of false positive in nonparametric linkage analyses of qualitative traits.

Genome-wide linkage analysis using microsatellite markers has been successful in the identification of numerous Mendelian and complex disease loci. The recent availability of high-density single-nucleotide polymorphism (SNP) maps provides a potentially more powerful option. Using the simulated and Collaborative Study on the Genetics of Alcoholism (COGA) datasets from the Genetics Analysis Workshop 14 (GAW14), we examined how altering the density of SNP marker sets impacted the overall information content, the power to detect trait loci, and the number of false positive results. For the simulated data we used SNP maps with density of 0.3 cM, 1 cM, 2 cM, and 3 cM. For the COGA data we combined the marker sets from Illumina and Affymetrix to create a map with average density of 0.25 cM and then, using a sub-sample of these markers, created maps with density of 0.3 cM, 0.6 cM, 1 cM, 2 cM, and 3 cM. For each marker set, multipoint linkage analysis using MERLIN was performed for both dominant and recessive traits derived from marker loci. Our results showed that information content increased with increased map density. For the homogeneous, completely penetrant traits we created, there was only a modest difference in ability to detect trait loci. Additionally, as map density increased there was only a slight increase in the number of false positive results when there was linkage disequilibrium (LD) between markers. The presence of LD between markers may have led to an increased number of false positive regions but no clear relationship between regions of high LD and locations of false positive linkage signals was observed.

Alcoholism↗

Summary of contributions to GAW Group 12: multivariate methods.

Here we summarize the contributions to Group 12 of Genetic Analysis Workshop (GAW) 14, held in Noordwijkerhout, The Netherlands. The theme of this group, multivariate methods, covered a broad range of statistical applications. Most of the contributors considered Problem 1 of the GAW. However, one paper considered the bivariate analysis of two binary phenotypes generated by the simulated data in Problem 2. Some contributors focused on statistical issues involved in considering multiple variables, and others on extensions to the variance-components methodology for analysis of quantitative traits. Applications to the Collaborative Study on the Genetics of Alcoholism data identified a single-nucleotide polymorphism (SNP) on chromosome 4 associated with the ttth1-ttth4 phenotypes, and replicated previous findings of linkage on chromosome 4 for alcohol consumption, using microsatellite and SNP data.

Alcoholism↗

Haplotype diversity in 11 candidate genes across four populations.

Analysis of haplotypes based on multiple single-nucleotide polymorphisms (SNP) is becoming common for both candidate gene and fine-mapping studies. Before embarking on studies of haplotypes from genetically distinct populations, however, it is important to consider variation both in linkage disequilibrium (LD) and in haplotype frequencies within and across populations, as both vary. Such diversity will influence the choice of "tagging" SNPs for candidate gene or whole-genome association studies because some markers will not be polymorphic in all samples and some haplotypes will be poorly represented or completely absent. Here we analyze 11 genes, originally chosen as candidate genes for oral clefts, where multiple markers were genotyped on individuals from four populations. Estimated haplotype frequencies, measures of pairwise LD, and genetic diversity were computed for 135 European-Americans, 57 Chinese-Singaporeans, 45 Malay-Singaporeans, and 46 Indian-Singaporeans. Patterns of pairwise LD were compared across these four populations and haplotype frequencies were used to assess genetic variation. Although these populations are fairly similar in allele frequencies and overall patterns of LD, both haplotype frequencies and genetic diversity varied significantly across populations. Such haplotype diversity has implications for designing studies of association involving samples from genetically distinct populations.

Analysis of Variance↗

[The association of single nucleotide polymorphism of slow delayed rectifier K+ channel genes with atrial fibrillation in Han nationality Chinese].

OBJECTIVE: To investigate the association between atrial fibrillation and the single nucleotide polymorphism (SNP) of slow delayed rectifier K(+) channel (I(Ks)) genes in Han nationality Chinese. METHODS: Three hundred and eighty of Han nationality Chinese (142 atrial fibrillation, 120 in-hospital and 118 out-hospital control) were enrolled in this study. Asian specific non-synonymous SNPs of KCNQ1 P448R, KCNQ1 R519H, KCNQ1 G643S, KCNE1 G38S and KCNE1 D85N were genotyped by restriction fragment length polymorphism analysis. A newly cloned KCNE4 gene was also screened for any possible SNP. RESULTS: The minor allele frequency of KCNQ1 P448R, KCNQ1 R519H, KCNQ1 G643S, KCNE1 G38S and KCNE1 D85N in out-hospital subjects was 0.079, 0, 0.042, 0.317 and 0.004, respectively. None of these SNPs was relationed with any atrial fibrillation phenotype. A KCNE4 E145D was discovered and proven statistically to relation significantly to atrial fibrillation by logistic regression analysis (OR = 1.66, P = 0.044). The minor allele frequency of KCNE4 E145D was as high as 0.271 in out-hospital subjects. CONCLUSIONS: None of the SNPs of KCNQ1 P448R, KCNQ1 R519H, KCNQ1 G643S, KCNE1 G38S and KCNE1 D85N was associated with atrial fibrillation phenotype, but KCNE4 E145D may relation to atrial fibrillation. The effect of KCNE4 E145D variation on the function of I(Ks) channel is to be determined.

Aged↗

Effect of sodium nitroprusside, a nitric oxide donor, on the in vitro maturation of bovine oocytes.

Nitric oxide (NO) is a highly reactive free radical involved in intra- and intercellular signaling in various stages of reproduction. The objective of the present study was to evaluate the effect of the addition of sodium nitroprusside (SNP), a NO donor, on nuclear and cytoplasmic in vitro maturation of bovine oocytes. Analysis of variance was conducted and the means were compared by t test at a level of 5%. Low (10(-7) and 10(-9)M) and intermediate (10(-5)M) concentrations of SNP had no significant effect on nuclear maturation, however, when a greater concentration of SNP (10(-3)M) was added, oocytes remained in metaphase I (MI) after 24 h culture (P<0.05) and did not show cumulus expansion. To evaluate if this effect was reversible and if a retardation or inhibition had occurred in the progression from MI to MII, oocytes were cultured in presence of 10(-3)M of SNP for 24 h followed by culture for an additional 24 h in medium with or without SNP. After 48 h, the oocytes remained in MI even when the medium was changed at 24 h with or without SNP. The kinetics of nuclear maturation was assessed to evaluate if there had been or not a retardation in the progression of meiosis with the concentration of 10(-3)M SNP. This concentration delayed germinal vesicle breakdown (VGBD) at 8 h of culture (P<0.05), and at 12 h there was no significant difference between the control and the treated group. The concentrations that did not induce alterations in nuclear maturation were evaluated for cytoplasmic maturation. The concentration of 10(-5)M improved the percentage of peripheral cortical granules (P<0.05), and significantly increased the percentage of blastocysts. These results demonstrate that SNP at greater concentrations (10(-3)M) has a cytotoxic effect, but at intermediate (10(-5)M) concentrations it increases blastocyst rates. NO exhibits a dual effect on bovine oocytes, inhibits (10(-3)M of SNP) nuclear and cytoplasmic maturation or stimulates (10(-5)M of SNP) cytoplasmic maturation, depending on concentration in the culture medium.

Animals↗

Genome-wide linkage analysis of age at onset of alcohol dependence: a comparison between microsatellites and single-nucleotide polymorphisms.

BACKGROUND: Using the dataset provided for Genetic Analysis Workshop 14 by the Collaborative Study on the Genetics of Alcoholism, we performed genome-wide linkage analysis of age at onset of alcoholism to compare the utility of microsatellites and single-nucleotide polymorphisms (SNPs) in genetic linkage study. METHODS: A multipoint nonparametric variance component linkage analysis method was applied to the survival distribution function obtained from semiparametric proportional hazards model of the age at onset phenotype of alcoholism. Three separate linkage analyses were carried out using 315 microsatellites, 2,467 and 9,467 SNPs, spanning the 22 autosomal chromosomes. RESULTS: Heritability of age at onset was estimated to be approximately 12% (p < 0.001). We observed weak correlation, both in trend and strength, of genome-wide linkage signals between microsatellites and SNPs. Results from SNPs revealed more and stronger linkage signals across the genome compared with those from microsatellites. The only suggestive evidence of linkage from microsatellites was on chromosome 1 (LOD of 1.43). Differences in map densities between the two sets of SNPs used in this study did not appear to confer an advantage in terms of strength of linkage signals. CONCLUSION: Our study provided support for better performance of dense SNP maps compared with the sparse microsatellite maps currently available for linkage analysis of quantitative traits. This better performance could be attributable to precise definition and high map resolutions achievable with dense SNP maps, thus resulting in increased power to detect possible loci affecting given trait or disease.

Age of Onset↗

[Screening susceptibility genes of type 2 diabetes in Chinese population by single nucleotide polymorphism analysis].

OBJECTIVE: To search for the susceptibility variant (s) of type 2 diabetes in the susceptible regions on chr.1 (1p36.23-36.33, 1q24.3-25.1, and 1q42.12-42.13) by genotyping SNP markers in case-control DNA samples and identifying the haplotype associated with type 2 diabetes. METHODS: Totally 124 SNPs in 33 candidate genes in the mapped regions were chosen from public SNP data or identified by sequencing the samples that were used to search for SNP locus. Sequencing method was used to genotype the loci for 236 sporadic type 2 diabetes patients and 152 normal subjects in Northern Han Chinese population. The haplotypes with significant difference were further analyzed. RESULTS: Of 124 SNPs successfully typed, 4 SNPs that showed association with diabetes status were found: rs203849 (P=0.005, OR=1.60) and rs203826 (P=0.016, OR=1.60) located in sAC gene, rs7535528 (P=0.028, OR=1.45) located in PANK4, rs884363 (P=0.043, OR=1.37) located in CASP9 gene. In addition, the frequencies of two combination types from these 4 SNP genotypes were significantly different between case and control groups (P < 0.001). Furthermore, four haplotypes associated with diabetes were found in haplotype analysis of sAC gene. CONCLUSION: sAC, PANK4, and CA SP9 may be associated with type 2 diabetes in Han population in north China, and it seems that the synergetic effect of these genes is responsible for the development of type 2 diabetes.

Adult↗

Accessing single nucleotide polymorphisms in genomic DNA by direct multiplex polymerase chain reaction amplification on oligonucleotide microarrays.

This study introduces a DNA microarray-based genotyping system for accessing single nucleotide polymorphisms (SNPs) directly from a genomic DNA sample. The described one-step approach combines multiplex amplification and allele-specific solid-phase PCR into an on-chip reaction platform. The multiplex amplification of genomic DNA and the genotyping reaction are both performed directly on the microarray in a single reaction. Oligonucleotides that interrogate single nucleotide positions within multiple genomic regions of interest are covalently tethered to a glass chip, allowing quick analysis of reaction products by fluorescence scanning. Due to a fourfold SNP detection approach employing simultaneous probing of sense and antisense strand information, genotypes can be automatically assigned and validated using a simple computer algorithm. We used the described procedure for parallel genotyping of 10 different polymorphisms in a single reaction and successfully analyzed more than 100 human DNA samples. More than 99% of genotype data were in agreement with data obtained in control experiments with allele-specific oligonucleotide hybridization and capillary sequencing. Our results suggest that this approach might constitute a powerful tool for the analysis of genetic variation.

Algorithms↗

An integrated in silico gene mapping strategy in inbred mice.

In recent years in silico analysis of common laboratory mice has been introduced and subsequently applied, in slightly different ways, as a methodology for gene mapping. Previously we have demonstrated some limitation of the methodology due to sporadic genetic correlations across the genome. Here, we revisit the three main aspects that affect in silico analysis. First, we report on the use of marker maps: we compared our existing 20,000 SNP map to the newly released 140,000 SNP map. Second, we investigated the effect of varying strain numbers on power to map QTL. Third, we introduced a novel statistical approach: a cladistic analysis, which is well suited for mouse genetics and has increased flexibility over existing in silico approaches. We have found that in our examples of complex traits, in silico analysis by itself does fail to uniquely identify quantitative trait gene (QTG)-containing regions. However, when combined with additional information, it may significantly help to prioritize candidate genes. We therefore recommend using an integrated work flow that uses other genomic information such as linkage regions, regions of shared ancestry, and gene expression information to obtain a list of candidate genes from the genome.

Algorithms↗

[Single nucleotide polymorphism and haplotype in TBX1 gene of patients with conotruncal defects: analysis of 130 cases].

OBJECTIVE: To investigate the distribution of the single nucleotide polymorphism (SNP) sites in TBX1 gene and the distribution of related haplotypes in the patients with conotruncal defects (CTD) and normal people. METHODS: The genotypes of the 3 selected SNPs: G2857C (rs737868), G2963A (rs28649236), and A6571T (rs28939675) in TBX1 gene were analyzed by PCR-RFLP among 130 patients with CTD and 200 normal people. Contingency table was applied to analyze the frequencies of these SNP genotypes and related alleles. PHASE software was used to construct the haplotypes and analyze the haplotype frequencies in these 2 groups. RESULTS: There were no significant differences in the allele frequency and genotype rates of the SNPs G2587C and A6571T between the CTD patients and normal controls (all P > 0.05). However, the allele frequency and genotype rates of the SNP G2963A were significant different between he CTD patients and normal controls: the G allele frequency in the CTD patients was 53.8%, significantly higher than that in the normal controls (42.5%, chi(2) = 8.14, P < 0.005); and the AA genotype rate of the CTD patients was 21.6%, significantly lower than that of the controls (38.0%), and the GA genotype rate in the CTD patients was 49.2%, significantly higher than that in the controls (39.0%) (both chi(2) = 9.9, P < 0.05). The haplotype frequencies of G2587/G2963/A6571 and G2587/A2963/T6571 of the CTD patients were 49.2% and 14.6% respectively, both significantly higher than those of the normal controls (36.3% and 9.5% respectively), and the haplotype frequencies of G2587/G2963/T6571 and G2587/A2963/A6571 in the CTD patients were 34.6% and 3% respectively, both significantly lower than those in the normal controls (48.3% and 18% respectively) (chi(2) = 22.39, P < 0.005). CONCLUSION: The SNP site G2963A located in the coding-region of TBX1 gene is associated with CTD. The persons with G2963 have higher risk of CTD than those with A2963. The haplotypes constructed with these 3 SNP sites may be linked with the susceptibility gene of CTD.

Adolescent↗

Dog Y chromosomal DNA sequence: identification, sequencing and SNP discovery.

BACKGROUND: Population genetic studies of dogs have so far mainly been based on analysis of mitochondrial DNA, describing only the history of female dogs. To get a picture of the male history, as well as a second independent marker, there is a need for studies of biallelic Y-chromosome polymorphisms. However, there are no biallelic polymorphisms reported, and only 3200 bp of non-repetitive dog Y-chromosome sequence deposited in GenBank, necessitating the identification of dog Y chromosome sequence and the search for polymorphisms therein. The genome has been only partially sequenced for one male dog, disallowing mapping of the sequence into specific chromosomes. However, by comparing the male genome sequence to the complete female dog genome sequence, candidate Y-chromosome sequence may be identified by exclusion. RESULTS: The male dog genome sequence was analysed by Blast search against the human genome to identify sequences with a best match to the human Y chromosome and to the female dog genome to identify those absent in the female genome. Candidate sequences were then tested for male specificity by PCR of five male and five female dogs. 32 sequences from the male genome, with a total length of 24 kbp, were identified as male specific, based on a match to the human Y chromosome, absence in the female dog genome and male specific PCR results. 14437 bp were then sequenced for 10 male dogs originating from Europe, Southwest Asia, Siberia, East Asia, Africa and America. Nine haplotypes were found, which were defined by 14 substitutions. The genetic distance between the haplotypes indicates that they originate from at least five wolf haplotypes. There was no obvious trend in the geographic distribution of the haplotypes. CONCLUSION: We have identified 24159 bp of dog Y-chromosome sequence to be used for population genetic studies. We sequenced 14437 bp in a worldwide collection of dogs, identifying 14 SNPs for future SNP analyses, and giving a first description of the dog Y-chromosome phylogeny.

Animals↗

Genetic profile of an Oka varicella vaccine virus variant isolated from an infant with zoster.

Varicella virus vaccine strain Oka (V-Oka) has in rare cases caused zoster in vaccinated people. Despite broad usage of V-Oka, little is known about varicella-zoster virus genomic sequence variation of strains in vaccine and isolates from patients with vaccine adverse events. Direct sequencing of 20 regions of V-Oka-GSK was compared to the sequences of the original V-Oka-Biken, GlaxoSmithKline Oka vaccine (V-Oka-GSK), and Oka-parental (P-Oka) strains. We analyzed single nucleotide polymorphisms (SNP) differentiating the Oka parental and Oka vaccine strains identified in open reading frames (ORFs) 6, 9A, 10, 21, 31, 39, 50, 51, 52, 54, 55, and 59 and eight base substitutions within ORF 62. Sixteen of these SNP impose an amino acid change in the corresponding gene product. The genotypic analysis revealed that (i) both V-Oka-GSK and V-Oka-Biken comprise mixtures of strains represented in variable proportion from lot to lot; (ii) V-Oka-GSK/zoster isolated from the zoster patient had six wild-type SNP in ORF 9A, 10, 21, 52, 55, and 62 (mutation 108838); (iii) none of the six revertant SNP would reliably discriminate Oka vaccine from the wild type; and (iv) the genomic variation found in V-Oka/zoster might be associated with changes in the biological behavior of the virus. Further studies will be needed to identify potential virulence factors in variant vaccine strains.

Amino Acid Substitution↗

Genetic diversity, disease resistance, and environmental adaptation of Arachis duranensis L.: New insights from landscape genomics.

The genetic diversity that exists in natural populations of Arachis duranensis, the wild diploid donor of the A subgenome of cultivated tetraploid peanut, has the potential to improve crop adaptability, resilience to major pests and diseases, and drought tolerance. Despite its potential value for peanut improvement, limited research has been focused on the association between allelic variation, environmental factors, and response to early (ELS) and late leaf spot (LLS) diseases. The present study implemented a landscape genomics approach to gain a better understanding of the genetic variability of A. duranensis represented in the ex-situ peanut germplasm collection maintained at the U.S. Department of Agriculture, which spans the entire geographic range of the species in its center of origin in South America. A set of 2810 single nucleotide polymorphism (SNP) markers allowed a high-resolution genome-wide characterization of natural populations. The analysis of population structure showed a complex pattern of genetic diversity with five putative groups. The incorporation of bioclimatic variables for genotype-environment associations, using the latent factor mixed model (LFMM2) method, provided insights into the genomic signatures of environmental adaptation, and led to the identification of SNP loci whose allele frequencies were correlated with elevation, temperature, and precipitation-related variables (q < 0.05). The LFMM2 analysis for ELS and LLS detected candidate SNPs and genomic regions on chromosomes A02, A03, A04, A06, and A08. These findings highlight the importance of the application of landscape genomics in ex situ collections of peanut and other crop wild relatives to effectively identify favorable alleles and germplasm for incorporation into breeding programs. We report new sources of A. duranensis germplasm harboring adaptive allelic variation, which have the potential to be utilized in introgression breeding for a single or multiple environmental factors, as well as for resistance to leaf spot diseases.

Arachis↗