Methicillin-resistant Staphylococcus aureus genotyping using a small set of polymorphisms

The aim of this study was to identify a set of genetic polymorphisms that efficiently divides methicillin-resistant Staphylococcus aureus (MRSA) strains into groups consistent with the population structure. The rationale was that such polymorphisms could underpin rapid real-time PCR or low-density array-based methods for monitoring MRSA dissemination in a cost-effective manner. Previously, the authors devised a computerized method for identifying sets of single nucleoticle polymorphisms (SNPs) with high resolving power that are defined by multilocus sequence typing (MLST) databases, and also developed a real-time PCR method for interrogating a seven-member SNP set for genotyping S. aureus. Here, it is shown that these seven SNPs efficiently resolve the major MRSA lineages and define 27 genotypes. The SNP-based genotypes are consistent with the MRSA population structure as defined by eBURST analysis. The capacity of binary markers to improve resolution was tested using 107 diverse MRSA isolates of Australian origin that encompass nine SNP-based genotypes. The addition of the virulence-associated genes cna, pvl and bbplsdrE, and the integrated plasmids pT181, p1258 and pUB110, resolved the nine SNP-based genotypes into 21 combinatorial genotypes. Subtyping of the SCCmec locus revealed new SCCmec types and increased the number of combinatorial genotypes to 24. It was concluded that these polymorphisms provide a facile means of assigning MRSA isolates into well-recognized lineages.

A Test of Association between Qualitative Trait and a Set of SNPs

2000 Mathematics Subject Classification: 62P10, 92D10, 92D30, 62F03

Frequency of mutations and polymorphisms in borderline ovarian tumors of known cancer genes.

Borderline ovarian tumors represent an understudied subset of ovarian tumors. Most studies investigating aberrations in borderline tumors have focused on KRAS/BRAF mutations. In this study, we conducted an extensive analysis of mutations and single-nucleotide polymorphisms (SNPs) in borderline ovarian tumors. Using the Sequenom MassArray platform, we investigated 160 mutations/polymorphisms in 33 genes involved in cell signaling, apoptosis, angiogenesis, cell cycle regulation and cellular senescence. Of 52 tumors analyzed, 33 were serous, 18 mucinous and 1 endometrioid. KRAS c.35G>A p.Gly12Asp mutations were detected in eight tumors (six serous and two mucinous), BRAF V600E mutations in two serous tumors, and PIK3CA H1047Y and PIK3CA E542K mutations in a serous and an endometrioid BOT, respectively. CTNNB1 mutation was detected in a serous tumor. Potentially functional polymorphisms were found in vascular endothelial growth factor (VEGF), ABCB1, FGFR2 and PHLPP2. VEGF polymorphisms were the most common and detected at four loci. PHLPP2 polymorphisms were more frequent in mucinous as compared with serous tumors (P=0.04), with allelic imbalance in one case. This study represents the largest and most comprehensive analysis of mutations and functional SNPs in borderline ovarian tumors to date. At least 25% of borderline ovarian tumors harbor somatic mutations associated with potential response to targeted therapeutics.

Development of single nucleotide polymorphism (SNP) markers from the mango (Mangifera indica) transcriptome for mapping and estimation of genetic diversity

The development of molecular markers for genomic studies in Mangifera indica (mango) will allow marker-assisted selection and identification of genetically diverse germplasm, greatly aiding mango breeding programs. We report here our identification of thousands of unambiguous molecular markers that can be easily assayed across genotypes of the species. With origin centered in Southeast Asia, mangos are grown throughout the tropics and subtropics as a nutritious fruit that exhibits remarkable intraspecific phenotypic diversity. With the goal of building a high density genetic map, we have undertaken discovery of sequence variation in expressed genes across a broad range of mango cultivars. A transcriptome sequence reference was built de novo from extensive sequencing and assembly of RNA from cultivar 'Tommy Atkins'. Single nucleotide polymorphisms (SNPs) in protein coding transcripts were determined from alignment of RNA reads from 24 mango cultivars of diverse origins: 'Amin Abrahimpur' (India), 'Aroemanis' (Indonesia), 'Burma' (Burma), 'CAC' (Hawaii), 'Duncan' (Florida), 'Edward' (Florida), 'Everbearing' (Florida), 'Gary' (Florida), 'Hodson' (Florida), 'Itamaraca' (Brazil), 'Jakarata' (Florida), 'Long' (Jamaica), 'M. Casturi Purple' (Borneo), 'Malindi' (Kenya), 'Mulgoba' (India), 'Neelum' (India), 'Peach' (unknown), 'Prieto' (Cuba), 'Sandersha' (India), 'Tete Nene' (Puerto Rico), 'Thai Everbearing' (Thailand), 'Toledo' (Cuba), 'Tommy Atkins' (Florida) and 'Turpentine' (West Indies). SNPs in a selected subset of protein coding transcripts are currently being converted into Fluidigm assays for genotyping of mapping populations and germplasm collections. Using an alternate approach, SNPs (144) discovered by sequencing of candidate genes in 'Kensington Pride' have already been converted and used for genotyping.

Association between common lipid metabolism genes polymorphisms and sporadic colorectal adenocarcinoma risk

Lipids can modulate the risk of developing sporadic colorectal adenocarcinoma (SCA), since alterations into lipid metabolism and transport pathways influence directly cholesterol and lipids absorption by colonic cells and indirectly reactive oxygen species (ROS) synthesis in rectum cells due to lipid accumulation. Lipid metabolism is regulated by several proteins APOA1, APOB, APOC3, APOE, CETP, NPY, PON1 and PPARG that could influence both metabolism and transport processes. Is been reported that several common single-nucleotide polymorphisms (SNPs) in these genes could influence their function and/or expression, changing lipid metabolism balance. Thus, genetic changes in those genes can influence SCA development, once the majority of them were never studied in this disease. Furthermore, there are contradictory results between some studied polymorphisms and SCA risk. Thus, the aim of this study was to explore and describe lipid metabolism-associated genes common polymorphisms (APOA1 -75 G>A; APOB R3500Q; APOC3 C3175G, APOC3 T3206G; APOE Cys112/158Arg; CETP G279A, CETP R451Q; NPY Leu7Pro; PON1 Q192R; PPARG Pro12Ala) status among SCA, and their relationship with SCA risk. Genotyping of common lipid metabolism genes polymorphisms (APOA1 75 G>A; APOB R3500Q; APOC3 C3175G, APOC3 T3206G; APOE Cys112/158Arg; CETP G279A, CETP R451Q; NPY Leu7Pro; PON1 Q192R; PPARG Pro12Ala) were done by PCR-SSP techniques, from formalin-fixed and paraffin-embedded biopsies of 100 healthy individuals and 68 SCA subjects. Mutant genotypes of APOA1 -75AA (32% vs 12%; p=0.001; OR=3.51; 95% CI 1.59-7.72); APOB 3500AA (7% vs 0%; p=0.01); APOC3 3175GG (19% vs 2%; p=0.0002; OR=11.58; 95% CI 2.52-53.22), APOC3 3206GG (19% vs 0%; p<0.0001); CETP 279AA (12% vs 1%; p=0.003; OR=13.20; 95% CI 1.61-108.17), CETP 451AA (16% vs 0%; p<0.0001); NPY 7CC (15% vs 0%; p<0.0001); PPARG 12GG (10% vs 0%; p=0.001); and heterozygote genotype PON1 192AG (56% vs 22%; p<0.0001; OR=4.49; 95% CI 2.298.80) were found associated with SCA prevalence. While, APOE E4/E4 (0% vs 8%; p=0.02) mutant haplotype seemed to have a protective effect on SCA. Moreover, it also been founded differences between APOB 3500GA, APOC3 3206TG, CETP 279AA genotypes and PPARG 12Ala allele prevalence and tissue localization (colon vs rectum). These findings suggest a positive association between most of common lipid metabolism genes polymorphisms studied and SCA prevalence. Dysregulation of APOA1, APOB, APOC3, CETP, NPY, PON1 and PPARG genes could be associated with lower cholesterol plasma levels and increase ROS among colon and rectum mucosa. Furthermore, these results also support the hypothesis that CRC is related with intestinal lipid absorption decrease and secondary bile acids production increase. Moreover, the polymorphisms studied may play an important role as biomarkers to SCA susceptibility.

Association between common lipid metabolism genes polymorphisms and sporadic colorectal adenocarcinoma risk

Lipids can modulate the risk of developing sporadic colorectal adenocarcinoma (SCA), since alterations into lipid metabolism and transport pathways influence directly cholesterol and lipids absorption by colonic cells and indirectly reactive oxygen species (ROS) synthesis in rectum cells due to lipid accumulation. Lipid metabolism is regulated by several proteins APOA1, APOB, APOC3, APOE, CETP, NPY, PON1 and PPARG that could influence both metabolism and transport processes. Is been reported that several common single-nucleotide polymorphisms (SNPs) in these genes could influence their function and/or expression, changing lipid metabolism balance. Thus, genetic changes in those genes can influence SCA development, once the majority of them were never studied in this disease. Furthermore, there are contradictory results between some studied polymorphisms and SCA risk. Thus, the aim of this study was to explore and describe lipid metabolism-associated genes common polymorphisms (APOA1 -75 G>A; APOB R3500Q; APOC3 C3175G, APOC3 T3206G; APOE Cys112/158Arg; CETP G279A, CETP R451Q; NPY Leu7Pro; PON1 Q192R; PPARG Pro12Ala) status among SCA, and their relationship with SCA risk. Genotyping of common lipid metabolism genes polymorphisms (APOA1 75 G>A; APOB R3500Q; APOC3 C3175G, APOC3 T3206G; APOE Cys112/158Arg; CETP G279A, CETP R451Q; NPY Leu7Pro; PON1 Q192R; PPARG Pro12Ala) were done by PCR-SSP techniques, from formalin-fixed and paraffin-embedded biopsies of 100 healthy individuals and 68 SCA subjects. Mutant genotypes of APOA1 -75AA (32% vs 12%; p=0.001; OR=3.51; 95% CI 1.59-7.72); APOB 3500AA (7% vs 0%; p=0.01); APOC3 3175GG (19% vs 2%; p=0.0002; OR=11.58; 95% CI 2.52-53.22), APOC3 3206GG (19% vs 0%; p<0.0001); CETP 279AA (12% vs 1%; p=0.003; OR=13.20; 95% CI 1.61-108.17), CETP 451AA (16% vs 0%; p<0.0001); NPY 7CC (15% vs 0%; p<0.0001); PPARG 12GG (10% vs 0%; p=0.001); and heterozygote genotype PON1 192AG (56% vs 22%; p<0.0001; OR=4.49; 95% CI 2.298.80) were found associated with SCA prevalence. While, APOE E4/E4 (0% vs 8%; p=0.02) mutant haplotype seemed to have a protective effect on SCA. Moreover, it also been founded differences between APOB 3500GA, APOC3 3206TG, CETP 279AA genotypes and PPARG 12Ala allele prevalence and tissue localization (colon vs rectum). These findings suggest a positive association between most of common lipid metabolism genes polymorphisms studied and SCA prevalence. Dysregulation of APOA1, APOB, APOC3, CETP, NPY, PON1 and PPARG genes could be associated with lower cholesterol plasma levels and increase ROS among colon and rectum mucosa. Furthermore, these results also support the hypothesis that CRC is related with intestinal lipid absorption decrease and secondary bile acids production increase. Moreover, the polymorphisms studied may play an important role as biomarkers to SCA susceptibility.

The frequency of follicle stimulating hormone receptor gene polymorphisms in Iranian infertile men with azoospermia

Background: Azoospermia is the medical condition of a man not having any measurable level of sperm in his semen. Follicle stimulating hormone (FSH) is a member of the glycoprotein hormone family that plays an important role in human reproduction because of its essential role in normal spermatogenesis. Various Single Nucleotide Polymorphisms (SNPs) have been reported within FSH receptor (FSHR) gene that may affect the receptor function. Objective: The present study aimed to investigate the correlation between two FSHR SNPs at positions A919G, A2039G, and susceptibility to azoospermia in a group of Iranian azoospermic men. The association between FSH levels within the sera and A919G and A2039G alleles and genotypes were also investigated. Materials and Methods: This case control study was performed on 212 men with azoospermia (126 non-obstructive and 86 obstructive) and 200 healthy Iranian men. Two FSHR gene SNPs were genotyped using PCR-RFLP method. The relationship between FSH levels within the sera and A919G and A2039G alleles and genotypes were also investigated. Results: Statistical analysis indicated that at A919G position, AA genotype and A allele were more frequent in obstructive azoospermia cases compared to non- obstructive or normal men (p=0.001). Regarding A2039G polymorphisms, no significant difference was observed between both azoospermia groups and the controls. The mean level of serum FSH was higher in the non-obstructive men compared to the obstructive patients (23.8 versus 13.8, respectively, p= 0.04). Conclusion: The results of the present study indicated that the genetic polymorphisms in the FSHR gene might increase the susceptibility to azoospermia in Iranian men.

Impact of genetic polymorphisms determining leukocyte/neutrophil count on chemotherapy toxicity

Nous avons investigué la relation entre les polymorphismes de nucléotides simples (SNPs) chez trois gènes/loci candidats : DARC, CXCL2 et le loci ORMDL3-GSDMA-CSF3 situés sur le chromosome 17q21 et les complications neutropéniques et infectieuses qui en résultent durant la chimiothérapie chez les patients atteints de la leucémie lymphoblastique aigue. Ces loci codent pour certaines composantes du système immunitaire altérant la concentration de chémokines et leur distribution (DARC), stimulant le relâchement et la migration des neutophiles de la moelle épinière (CXCL2) et régulant la prolifération et la survie des granulocytes (G-CSF). Il est possible que des polymorphismes dans ces loci lorsqu’associés à de la chimiothérapie puissent mettre des individus suceptibles à un risque plus élevé de complication reliées à la chimiothérapie. Une sélection des marqueurs SNPs dans ces gènes ont été génotypés chez des enfants traités au CHU Ste-Justine pour une ALL entre 1989 et 2005. Après correction pour tests multiples, un polymorphisme DARC rs3027012 situé dans le 5’UTR a été associé à un compte phagocytaire peu élevé (APC<500 et <1000 cellules/µL, p=0.001 and p=0.0005, respectivement) ainsi qu’une hospitalisation due à une neutropénie (p=0.007) ou due à une infection et/ou neutropénie (p=0.007). Un effet protecteur a été identifié pour la mutation non sense Gly42Asp variant rs12075 (p=0.006). Des polymorphismes sur le chromosome 17q2 étaient associés à une hospitalisation due à une infection (rs3859192, p= 0.004) et à une neutropénie (rs17609240, p=0.006) L’infection était aussi modulée par CXCL2 (rs16850408, p=0.008) Cette étude identifie pour la première fois que les loci modulant le décompte des leucocytes et des neutrophiles pourraient jouer un rôle dans de déclenchement de complications dues à la chimiothérapie et pourraient ainsi servir de marqueurs pour un ajustement et un suivi du traitement.

Association of SNPs in LCP1 and CTIF with hearing in 11 year old children:findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort and the G-EAR consortium

BACKGROUND: The genetic basis of hearing loss in humans is relatively poorly understood. In recent years, experimental approaches including laboratory studies of early onset hearing loss in inbred mouse strains, or proteomic analyses of hair cells or hair bundles, have suggested new candidate molecules involved in hearing function. However, the relevance of these genes/gene products to hearing function in humans remains unknown. We investigated whether single nucleotide polymorphisms (SNPs) in the human orthologues of genes of interest arising from the above-mentioned studies correlate with hearing function in children. METHODS: 577 SNPs from 13 genes were each analysed by linear regression against averaged high (3, 4 and 8 kHz) or low frequency (0.5, 1 and 2 kHz) audiometry data from 4970 children in the Avon Longitudinal Study of Parents and Children (ALSPAC) birth-cohort at age eleven years. Genes found to contain SNPs with low p-values were then investigated in 3417 adults in the G-EAR study of hearing. RESULTS: Genotypic data were available in ALSPAC for a total of 577 SNPs from 13 genes of interest. Two SNPs approached sample-wide significance (pre-specified at p = 0.00014): rs12959910 in CBP80/20-dependent translation initiation factor (CTIF) for averaged high frequency hearing (p = 0.00079, β = 0.61 dB per minor allele); and rs10492452 in L-plastin (LCP1) for averaged low frequency hearing (p = 0.00056, β = 0.45 dB). For low frequencies, rs9567638 in LCP1 also enhanced hearing in females (p = 0.0011, β = -1.76 dB; males p = 0.23, β = 0.61 dB, likelihood-ratio test p = 0.006). SNPs in LCP1 and CTIF were then examined against low and high frequency hearing data for adults in G-EAR. Although the ALSPAC results were not replicated, a SNP in LCP1, rs17601960, is in strong LD with rs9967638, and was associated with enhanced low frequency hearing in adult females in G-EAR (p = 0.00084). CONCLUSIONS: There was evidence to suggest that multiple SNPs in CTIF may contribute a small detrimental effect to hearing, and that a sex-specific locus in LCP1 is protective of hearing. No individual SNPs reached sample-wide significance in both ALSPAC and G-EAR. This is the first report of a possible association between LCP1 and hearing function.

Impact of genetic polymorphisms determining leukocyte/neutrophil count on chemotherapy toxicity

Nous avons investigué la relation entre les polymorphismes de nucléotides simples (SNPs) chez trois gènes/loci candidats : DARC, CXCL2 et le loci ORMDL3-GSDMA-CSF3 situés sur le chromosome 17q21 et les complications neutropéniques et infectieuses qui en résultent durant la chimiothérapie chez les patients atteints de la leucémie lymphoblastique aigue. Ces loci codent pour certaines composantes du système immunitaire altérant la concentration de chémokines et leur distribution (DARC), stimulant le relâchement et la migration des neutophiles de la moelle épinière (CXCL2) et régulant la prolifération et la survie des granulocytes (G-CSF). Il est possible que des polymorphismes dans ces loci lorsqu’associés à de la chimiothérapie puissent mettre des individus suceptibles à un risque plus élevé de complication reliées à la chimiothérapie. Une sélection des marqueurs SNPs dans ces gènes ont été génotypés chez des enfants traités au CHU Ste-Justine pour une ALL entre 1989 et 2005. Après correction pour tests multiples, un polymorphisme DARC rs3027012 situé dans le 5’UTR a été associé à un compte phagocytaire peu élevé (APC<500 et <1000 cellules/µL, p=0.001 and p=0.0005, respectivement) ainsi qu’une hospitalisation due à une neutropénie (p=0.007) ou due à une infection et/ou neutropénie (p=0.007). Un effet protecteur a été identifié pour la mutation non sense Gly42Asp variant rs12075 (p=0.006). Des polymorphismes sur le chromosome 17q2 étaient associés à une hospitalisation due à une infection (rs3859192, p= 0.004) et à une neutropénie (rs17609240, p=0.006) L’infection était aussi modulée par CXCL2 (rs16850408, p=0.008) Cette étude identifie pour la première fois que les loci modulant le décompte des leucocytes et des neutrophiles pourraient jouer un rôle dans de déclenchement de complications dues à la chimiothérapie et pourraient ainsi servir de marqueurs pour un ajustement et un suivi du traitement.

A single nucleotide polymorphism in NEUROD1 is associated with production traits in nelore beef cattle.

Feed efficiency and carcass characteristics are late-measured traits. The detection of molecular markers associated with them can help breeding programs to select animals early in life, and to predict breeding values with high accuracy. The objective of this study was to identify polymorphisms in the functional and positional candidate gene NEUROD1 (neurogenic differentiation 1), and investigate their associations with production traits in reference families of Nelore cattle. A total of 585 steers were used, from 34 sires chosen to represent the variability of this breed. By sequencing 14 animals with extreme residual feed intake (RFI) values, seven single nucleotide polymorphisms (SNPs) in NEUROD1 were identified. The investigation of marker effects on the target traits RFI, backfat thickness (BFT), ribeye area (REA), average body weight (ABW), and metabolic body weight (MBW) was performed with a mixed model using the restricted maximum likelihood method. SNP1062, which changes cytosine for guanine, had no significant association with RFI or REA. However, we found an additive effect on ABW (P ≤ 0.05) and MBW (P ≤ 0.05), with an estimated allele substitution effect of -1.59 and -0.93 kg0.75, respectively. A dominant effect of this SNP for BFT was also found (P ≤ 0.010). Our results are the first that identify NEUROD1 as a candidate that affects BFT, ABW, and MBW. Once confirmed, the inclusion of this SNP in dense panels may improve the accuracy of genomic selection for these traits in Nelore beef cattle as this SNP is not currently represented on SNP chips.

De Novo Assembly And Transcriptome Analysis Of The Rubber Tree (hevea Brasiliensis) And Snp Markers Development For Rubber Biosynthesis Pathways.

Hevea brasiliensis (Willd. Ex Adr. Juss.) Muell.-Arg. is the primary source of natural rubber that is native to the Amazon rainforest. The singular properties of natural rubber make it superior to and competitive with synthetic rubber for use in several applications. Here, we performed RNA sequencing (RNA-seq) of H. brasiliensis bark on the Illumina GAIIx platform, which generated 179,326,804 raw reads on the Illumina GAIIx platform. A total of 50,384 contigs that were over 400 bp in size were obtained and subjected to further analyses. A similarity search against the non-redundant (nr) protein database returned 32,018 (63%) positive BLASTx hits. The transcriptome analysis was annotated using the clusters of orthologous groups (COG), gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Pfam databases. A search for putative molecular marker was performed to identify simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs). In total, 17,927 SSRs and 404,114 SNPs were detected. Finally, we selected sequences that were identified as belonging to the mevalonate (MVA) and 2-C-methyl-D-erythritol 4-phosphate (MEP) pathways, which are involved in rubber biosynthesis, to validate the SNP markers. A total of 78 SNPs were validated in 36 genotypes of H. brasiliensis. This new dataset represents a powerful information source for rubber tree bark genes and will be an important tool for the development of microsatellites and SNP markers for use in future genetic analyses such as genetic linkage mapping, quantitative trait loci identification, investigations of linkage disequilibrium and marker-assisted selection.

Leaf-, Panel- And Latex-expressed Sequenced Tags From The Rubber Tree (hevea Brasiliensis) Under Cold-stressed And Suboptimal Growing Conditions: The Development Of Gene-targeted Functional Markers For Stress Response.

Hevea brasiliensis is a native species of the Amazon Basin of South America and the primary source of natural rubber worldwide. Due to the occurrence of South American Leaf Blight disease in this area, rubber plantations have been extended to suboptimal regions. Rubber tree breeding is time-consuming and expensive, but molecular markers can serve as a tool for early evaluation, thus reducing time and costs. In this work, we constructed six different cDNA libraries with the aim of developing gene-targeted molecular markers for the rubber tree. A total of 8,263 reads were assembled, generating 5,025 unigenes that were analyzed; 912 expressed sequence tags (ESTs) represented new transcripts, and two sequences were highly up-regulated by cold stress. These unigenes were scanned for microsatellite (SSR) regions and single nucleotide polymorphisms (SNPs). In total, 169 novel EST-SSR markers were developed; 138 loci were polymorphic in the rubber tree, and 98 % presented transferability to six other Hevea species. Locus duplication was observed in H. brasiliensis and other species. Additionally, 43 SNP markers in 13 sequences that showed similarity to proteins involved in stress response, latex biosynthesis and developmental processes were characterized. cDNA libraries are a rich source of SSR and SNP markers and enable the identification of new transcripts. The new markers developed here will be a valuable resource for linkage mapping, QTL identification and other studies in the rubber tree and can also be used to evaluate the genetic variability of other Hevea species, which are valuable assets in rubber tree breeding.

High-throughput SNP genotyping in the highly heterozygous genome of Eucalyptus: assay success, polymorphism and transferability across species

Background: High-throughput SNP genotyping has become an essential requirement for molecular breeding and population genomics studies in plant species. Large scale SNP developments have been reported for several mainstream crops. A growing interest now exists to expand the speed and resolution of genetic analysis to outbred species with highly heterozygous genomes. When nucleotide diversity is high, a refined diagnosis of the target SNP sequence context is needed to convert queried SNPs into high-quality genotypes using the Golden Gate Genotyping Technology (GGGT). This issue becomes exacerbated when attempting to transfer SNPs across species, a scarcely explored topic in plants, and likely to become significant for population genomics and inter specific breeding applications in less domesticated and less funded plant genera. Results: We have successfully developed the first set of 768 SNPs assayed by the GGGT for the highly heterozygous genome of Eucalyptus from a mixed Sanger/454 database with 1,164,695 ESTs and the preliminary 4.5X draft genome sequence for E. grandis. A systematic assessment of in silico SNP filtering requirements showed that stringent constraints on the SNP surrounding sequences have a significant impact on SNP genotyping performance and polymorphism. SNP assay success was high for the 288 SNPs selected with more rigorous in silico constraints; 93% of them provided high quality genotype calls and 71% of them were polymorphic in a diverse panel of 96 individuals of five different species. SNP reliability was high across nine Eucalyptus species belonging to three sections within subgenus Symphomyrtus and still satisfactory across species of two additional subgenera, although polymorphism declined as phylogenetic distance increased. Conclusions: This study indicates that the GGGT performs well both within and across species of Eucalyptus notwithstanding its nucleotide diversity >= 2%. The development of a much larger array of informative SNPs across multiple Eucalyptus species is feasible, although strongly dependent on having a representative and sufficiently deep collection of sequences from many individuals of each target species. A higher density SNP platform will be instrumental to undertake genome-wide phylogenetic and population genomics studies and to implement molecular breeding by Genomic Selection in Eucalyptus.

An assessment of population structure in eight breeds of cattle using a whole genome SNP panel

Background: Analyses of population structure and breed diversity have provided insight into the origin and evolution of cattle. Previously, these studies have used a low density of microsatellite markers, however, with the large number of single nucleotide polymorphism markers that are now available, it is possible to perform genome wide population genetic analyses in cattle. In this study, we used a high-density panel of SNP markers to examine population structure and diversity among eight cattle breeds sampled from Bos indicus and Bos taurus. Results: Two thousand six hundred and forty one single nucleotide polymorphisms ( SNPs) spanning all of the bovine autosomal genome were genotyped in Angus, Brahman, Charolais, Dutch Black and White Dairy, Holstein, Japanese Black, Limousin and Nelore cattle. Population structure was examined using the linkage model in the program STRUCTURE and Fst estimates were used to construct a neighbor-joining tree to represent the phylogenetic relationship among these breeds. Conclusion: The whole-genome SNP panel identified several levels of population substructure in the set of examined cattle breeds. The greatest level of genetic differentiation was detected between the Bos taurus and Bos indicus breeds. When the Bos indicus breeds were excluded from the analysis, genetic differences among beef versus dairy and European versus Asian breeds were detected among the Bos taurus breeds. Exploration of the number of SNP loci required to differentiate between breeds showed that for 100 SNP loci, individuals could only be correctly clustered into breeds 50% of the time, thus a large number of SNP markers are required to replace the 30 microsatellite markers that are currently commonly used in genetic diversity studies.