Factors Influencing Mortality in Children with Central Nervous System Tumors: A Cohort Study on Clinical Characteristics and Genetic Markers.

Multidrug resistance (MDR) commonly leads to cancer treatment failure because cancer cells often expel chemotherapeutic drugs using ATP-binding cassette (ABC) transporters, which reduce drug levels within the cells. This study investigated the clinical characteristics and single nucleotide variant (SNV) in ABCB1, ABCC1, ABCC2, ABCC4, and ABCG2, and their association with mortality in pediatric patients with central nervous system tumors (CNST). Using TaqMan probes, a real-time polymerase chain reaction genotyped 15 SNPs in 111 samples. Patients were followed up until death or the last follow-up day using the Cox proportional hazards model. An association was found between the rs1045642 (ABCB1) in the recessive model (HR = 2.433, 95% CI 1.098-5.392, p = 0.029), and the ICE scheme in the codominant model (HR = 9.810, 95% CI 2.74-35.06, p ≤ 0.001), dominant model (HR = 6.807, 95% CI 2.87-16.103, p ≤ 0.001), and recessive model (HR = 6.903, 95% CI 2.915-16.544, p = 0.038) significantly increased mortality in this cohort of patients. An association was also observed between the variant rs3114020 (ABCG2) and mortality in the codominant model (HR = 5.35, 95% CI 1.83-15.39, p = 0.002) and the dominant model (HR = 4.421, 95% CI 1.747-11.185, p = 0.002). A significant association between the ICE treatment schedule and increased mortality risk in the codominant model (HR = 6.351, 95% CI 1.831-22.02, p = 0.004, HR = 9.571, 95% CI 2.856-32.07, p ≤ 0.001), dominant model (HR = 6.592, 95% CI 2.669-16.280, p ≤ 0.001), and recessive model (HR = 5.798, 95% CI 2.411-13.940, p ≤ 0.001). The genetic variants rs3114020 in the ABCG2 gene and rs1045642 in the ABCB1 gene and the ICE chemotherapy schedule were associated with an increased mortality risk in this cohort of pediatric patients with CNST.

Assessing the reproducibility of machine-learning-based biomarker discovery in Parkinson's disease.

Feature selection and machine learning algorithms can be used to analyze Single Nucleotide Polymorphisms (SNPs) data and identify potential disease biomarkers. Reproducibility of identified biomarkers is critical for them to be useful for clinical research; however, genotyping platforms and selection criteria for individuals to be genotyped affect the reproducibility of identified biomarkers. To assess biomarkers reproducibility, we collected five SNPs datasets from the database of Genotypes and Phenotypes (dbGaP) and explored several data integration strategies. While combining datasets can lead to a reduction in classification accuracy, it has the potential to improve the reproducibility of potential biomarkers. We evaluated the agreement among different strategies in terms of the SNPs that were identified as potential Parkinson's disease (PD) biomarkers. Our findings indicate that, on average, 93% of the SNPs identified in a single dataset fail to be identified in other datasets. However, through dataset integration, this lack of replication is reduced to 62%. We discovered fifty SNPs that were identified at least twice, which could potentially serve as novel PD biomarkers. These SNPs are indirectly linked to PD in the literature but have not been directly associated with PD before. These findings open up new potential avenues of investigation.

Development and validation of a new multiplex panel using SNaPshot-based DIP-TriSNP markers for forensic DNA mixtures.

Short tandem repeat analysis is challenging when dealing with unbalanced mixtures in forensic cases due to the presence of stutter peaks and large amplicons. In this research, we propose a novel genetic marker called DIP-TriSNP, which combines deletion/insertion polymorphism (DIP) with tri-allelic single nucleotide polymorphism in less than 230 bp length of human genome. Based on multiplex PCR and SNaPShot, a panel, including 14 autosomal DIP-TriSNPs and one Y chromosomal DIP-SNP, had been developed and applied to genotyping 102 unrelated Han Chinese individuals in Sichuan of China and simulated a mixture study. The panel sensitivity can reach as low as 0.1 ng DNA template, and the minor contributor of DNA can be detected with the highest ratio of 19:1, as indicated by the obtained results. In the Sichuan Han population, the cumulative probability of informative genotypes reached 0.997092, with a combined power of discrimination of 0.999999998801. The panel was estimated to detect more than two alleles in at least one locus in 99.69% of mixtures of the Sichuan Han population. In conclusion, DIP-TriSNPs have shown promising as an innovative DNA marker for identifying the minor contributor in unbalanced DNA mixtures, offering advantages such as short amplifications, increased polymorphism, and heightened sensitivity.

Strategies to deal with genetic analyzer-specific DNA methylation measurements.

Targeted bisulfite sequencing using single-base extension (SBE) can be used to measure DNA methylation via capillary electrophoresis on genetic analyzers in forensic labs. Several accurate age prediction models have been reported using this method. However, using different genetic analyzers with different software settings can generate different methylation values, leading to significant errors in age prediction. To address this issue, the study proposes and compares four methods as follows: (1) adjusting methylation values using numerous actual body fluid DNA samples, (2) adjusting methylation values using control DNAs with varying methylation ratios, (3) constructing new age prediction models for each genetic analyzer type, and (4) constructing new age prediction models that could be applied to all types of genetic analyzers. To test the methods for adjusting values using actual body fluid DNA samples, previously reported adjusting equations were used for blood/saliva DNA age prediction markers (ELOVL2, FHL2, KLF14, MIR29B2CHG/C1orf132, and TRIM59). New equations were generated for semen DNA age prediction markers (TTC7B, LOC401324/cg12837463, and LOC729960/NOX4) by drawing polynomial regression lines between the results of the three types of genetic analyzers (3130, 3500, and SeqStudio). The same method was applied to obtain adjustment equations using 11 control DNA samples. To develop new age prediction models for each genetic analyzer type, linear regression analysis was conducted using DNA methylation data from 150 blood, 150 saliva, and 62 semen samples. For the genetic analyzer-independent models, control DNAs were used to formulate equations for calibrating the bias of the data from each genetic analyzer, and linear regression analysis was performed using calibrated body fluid DNA data. In the comparison results, the genetic analyzer-specific models showed the highest accuracy. However, genetic analyzer-independent models through bias adjustment also provided accurate age prediction results, suggesting its use as an alternative in situations with multiple constraints.

A Scalable and Robust Chloroplast Genotyping Solution: Development and Application of SNP and InDel Markers in the Maize Chloroplast Genome.

Maize(Zea mays. L) is a globally important crop, and understanding its genetic diversity is crucial for plant breeding phylogenetic analyses and comparative genetics. While nuclear markers have been extensively used for mapping agriculturally important genes, they are limited in recognizing characteristics, such as cytoplasmic male sterility and reciprocal cross hybrids. In this study, we performed next-generation sequencing of 176samples, and the maize cultivars represented five distinct groups. A total of 89 single nucleotide polymorphisms (SNPs) and 11 insertion/deletion polymorphisms (InDels) were identified. To enable high-throughput detection, we successfully amplified and confirmed 49 SNP and InDel markers, which were defined as a Varietal Chloroplast Panel (VCP) using the Kompetitive Allele Specific PCR (KASP). The specific markers provided a valuable tool for identifying chloroplast groups. The verification experiment, focusing on the identification of reciprocal cross hybrids and cytoplasmic male sterility hybrids, demonstrated the significant advantages of VCP markers in maternal inheritance characterization. Furthermore, only a small subset of these markers is needed to provide useful information, showcasing the effectiveness of these markers in elucidating the artificial selection process of elite maize lines.

An examination of differences in epigenetic methylation of saliva type samples based on collection method.

In the context of forensic casework, it is imperative to both establish a DNA profile from biological specimens and accurately identify the specific bodily fluid source. To achieve this, DNA methylation markers have been developed for the differentiation of blood, semen, vaginal epithelial secretions, and saliva samples. Saliva, alternatively referred to as oral fluid, is recognized for its heterogeneous cellular composition, characterized by a mixture of epithelial, leukocytic, and bacterial cells. Consequently, our research has revealed variations in methylation percentages that correlate with the method employed for collecting saliva samples. To investigate these concepts, we scrutinized four CpG markers situated within or in proximity to the BCAS4, SLC12A8, SOX2OT, and FAM43A genes. Subsequently, we designed primers based on bioinformatically transformed reference sequences for these markers and rigorously assessed their quality by examining dimer and hairpin formation, melting temperature, and specificity. These loci were identified as saliva markers based on either buccal swabs or spit collection. Yet, there has been minimal or no research conducted to explore the variations in methylation between different collection methods. For this study, buccal, lip, tongue, spit, and nasal swabs were collected from 20 individuals (N = 100). Mock forensic samples, which include chewing gum (N = 10) and cigarettes (N = 10), were also tested. DNA was extracted, bisulfite converted, then amplified using in-house designed assays, and pyrosequenced. The methylation levels were compared to other body fluids (semen, blood, vaginal epithelia, and menstrual blood [N = 32]). A total of 608 pyrosequencing results demonstrated that sampling location and collection method can greatly influence the level of methylation, highlighting the importance of examining multiple collection/deposition methods for body fluids when developing epigenetic markers.

Recycling selectable markers via Cre/loxP system for constructing Komagataella phaffii strains co-expressing multiple proteins.

OBJECTIVE: A convenient strategy was developed to recycle selectable markers using Cre/loxP system for constructing Komagataella phaffii strains co-expressing multiple proteins. RESULTS: A plasmid in this strategy was generated from pPICZαA with integration of lox71-Sh ble-lox66. Firstly, the plasmid was inserted with one target protein gene and then transformed into K. phaffii KM71. Secondly, the auxiliary plasmid pPICZαA/cre/his4 containing CRE recombinase gene was further chromosomally inserted to Sh ble gene therein. Finally, methanol induction was conducted to produce CRE for Cre/loxP-mediated recombination, and consequently, the sequence between lox71 and lox66 was deleted, leading to recycling of ZeoR and His- markers. Then the resulted strain expressing the one target protein was used as the host to which another target protein gene could be inserted by the same procedures. CONCLUSIONS: With easy manipulation, the method was effective in recycling of the selectable markers, and consequently two protein genes were sequential integrated chromosomally and successfully co-expressed in the yeast.

Plant height variation and genetic diversity between Prunus ledebouriana (Schlecht.) YY Yao and Prunus tenella Batsch based on using SSR markers in East Kazakhstan.

Background: Genetic differences between isolated endemic populations of plant species and those with widely known twin species are relevant for conserving the biological diversity of our planet's flora. Prunus ledebouriana (Schlecht.) YY Yao is an endangered and endemic species of shrub almond from central Asia. Few studies have explored this species, which is closely related and morphologically similar to the well-known Prunus tenella Batsch. In this article, we present a comparative analysis of studies of three P. ledebouriana populations and one close population of P. tenella in Eastern Kazakhstan in order to determine the particular geographic mutual replacement of the two species. Methods: The populations were collected from different ecological niches, including one steppe population near Ust-Kamenogorsk (P. tenella) and three populations (P. ledebouriana) in the mountainous area. Estimation of plant height using a t-test suggested a statistically significant difference between the populations and the two species (P < 0.0001). DNA simple sequence repeat (SSR) markers were applied to study the two species' genetic diversity and population structure. Results: A total of 19 polymorphic SSR loci were analyzed, and the results showed that the population collected in mountainous areas had a lower variation level than steppe populations. The highest level of Nei's genetic diversity index was demonstrated in the 4-UK population (0.622) of P. tenella. The lowest was recorded in population 3-KA (0.461) of P. ledebouriana, collected at the highest altitude of the four populations (2,086 meters above sea level). The total genetic variation of P. ledebouriana was distributed 73% within populations and 27% between populations. STRUCTURE results showed that two morphologically similar species diverged starting at step K = 3, with limited population mixing. The results confirmed the morphological and genetic differences between P. tenella and P. ledebouriana and described the level of genetic variation for P. ledebouriana. The study's results proved that the steppe zone and mountain altitude factor between P. tenella and isolated mountain samples of P. ledebouriana.

Development of genetic markers in Yarrowia lipolytica.

The oleaginous yeast Yarrowia lipolytica represents a potential microbial cell factory for the recombinant production of various valuable products. Currently, the commonly used selection markers for transformation in Y. lipolytica are limited, and successive genetic manipulations are often restricted by the number of available selection markers. In our study, we developed a dominant marker, dsdA, which encodes a D-serine deaminase for genetic manipulation in Y. lipolytica. In Y. lipolytica, this marker confers the ability to use D-serine as a nitrogen source. In addition, the selection conditions of several infrequently used dominant markers including bleoR (zeocin resistance), kanMX (G418 resistance), and guaB (mycophenolic acid resistance) were also analyzed. Our results demonstrated that these selection markers can be used for the genetic manipulation of Y. lipolytica and their selection conditions were different for various strains. Ultimately, the selection markers tested here will be useful to expand the genetic toolbox of Y. lipolytica. KEY POINTS: • The dsdA from Escherichia coli was developed as a dominant marker. • The applicability of several resistance markers in Y. lipolytica was determined. • We introduced the Cre/mutant lox system for marker recycling.

Biomarkers Assessing the Role of Cumulus Cells on IVF Outcomes: A Systematic Review.

PURPOSE: Although significant improvements in assisted reproductive technology (ART) outcomes have been accomplished, a critical question remains: which embryo is most likely to result in a pregnancy? Embryo selection is currently based on morphological and genetic criteria; however, these criteria do not fully predict good-quality embryos and additional objective criteria are needed. The cumulus cells are critical for oocyte and embryo development. This systematic review assessed biomarkers in cumulus-oocyte complexes and their association with successful IVF outcomes. METHODS: A comprehensive search was conducted using PubMed, Embase, Scopus, and Web of Science from inception until November 2022. Only English-language publications were included. Inclusion criteria consisted of papers that evaluated genetic biomarkers associated with the cumulus cells (CCs) in humans and the following three outcomes of interest: oocyte quality, embryo quality, and clinical outcomes, including fertilization, implantation, pregnancy, and live birth rates. RESULTS: The search revealed 446 studies of which 42 met eligibility criteria. Nineteen studies correlated genetic and biochemical biomarkers in CCs with oocyte quality. A positive correlation was reported between oocyte quality and increased mRNA expression in CCs of genes encoding for calcium homeostasis (CAMK1D), glucose metabolism (PFKP), extracellular matrix (HAS2, VCAN), TGF-ß family (GDF9, BMP15), and prostaglandin synthesis (PTGS2). Nineteen studies correlated genetic and biochemical biomarkers in CCs with embryo quality. A positive correlation was reported between embryo quality and increased mRNA expression in CCs of genes encoding for extracellular matrix (HAS2), prostaglandin synthesis (PTGS2), steroidogenesis (GREM1), and decreased expression of gene encoding for hormone receptor (AMHR2). Twenty-two studies assessed genetic and biochemical biomarkers in CCs with clinical outcomes. Increased expression of genes encoding for extracellular matrix (VCAN), and TGF-ß family (GDF9, BMP15) were positively correlated with pregnancy rate. CONCLUSION: Genetic biomarkers from cumulus cells were associated with oocyte quality (CAMK1D, PFKP, HAS2, VCAN, GDF-9, BMP-15, PTGS2), embryo quality (GREM1, PTGS2, HAS2), and pregnancy rate (GDF9, BMP15, VCAN). These results might help guide future studies directed at tests of cumulus cells to devise objective criteria to predict IVF outcomes.

[Polymorphisms of OPRM1, OPRK1, DCC genes and non-suicidal self-injuries in adults]. / Polimorfizmy genov OPRM1, OPRK1 i DCC i nesuitsidal'nye samopovrezhdeniya u vzroslykh.

OBJECTIVE: To investigate the associations of OPRM1 gene rs179971, OPRK1 gene rs6473797 and DCC gene rs8084280 polymorphisms with non-suicidal self-injury (NSSI) characteristics and motivations in adults. MATERIAL AND METHODS: A pilot sample included 28 adult patients with history of NSSI (89.3% (n=25) women, median age (Q1-Q3) - 23 (21.25-25) years). Most patients (78.6%, n=20) had a diagnosis of bipolar disorder. NSSI characteristics and motivations were assessed using the Inventory of Statements about Self-Injury (ISAS) scale. The Childhood Trauma Questionnaire (CTQ) was used to control for childhood trauma - one of the most important environmental factors associated with NSSI. The Baratt Impulsivity Scale (BIS) and the Buss-Perry Aggression Questionnaire (BPAQ) were also used to assess impulsivity and aggression, respectively. RT-PCR was used for genotyping, a genetic effect was assessed using the dominant model. Mann-Whitney U-test, Pearson χ2-test and multiple linear regression were used for statistical analysis. RESULTS: Carriers of the minor G allele of OPRM1 gene rs1779971 had a higher level of aggression assessed by BPAQ (p=0.02). The minor C allele of OPRK1 gene rs6473797 was associated with an increase of the subjective importance of «Affect regulation¼ (B=2.23; CI 95% [0.39-4.06]; p=0.022) and «Anti-dissociation¼ (B=3.31; CI 95% [0.18-6.44]; p=0.039) motivations, whereas the minor T allele of DCC gene rs8084280, on the contrary, was associated with a decrease of the importance of «Affect regulation¼ (B=-1.74; CI 95% [-3.30 - -0.18]; p=0.032). Moreover, this effect was found after adjusting for diagnosis, sex, age, and the presence of childhood trauma. CONCLUSIONS: To our knowledge, this is the first study on the association of genetic markers with NSSI motivations. The results of this pilot study demonstrate that OPRK1 and DCC gene polymorphisms can determine differences in motivations for self-harm, however, these results require confirmation in large samples.

Multi-genome comprehensive identification of SSR/SV and development of molecular markers database to serve Sorghum bicolor (L.) breeding.

BACKGROUND: As an important food and cash crop, identification of DNA molecular markers is of great significance for molecular marker-assisted breeding of Sorghum (Sorghum bicolor (L.) moench). Although some sorghum-related mutation databases have been published, the special SSR and SV databases still need to be constructed and updated. RESULTS: In this study, the quality of 18 different sorghum genomes was evaluated, and two genomes were assembled at chromosome level. Through the identification and comparative analysis of SSR loci in these genomes, the distribution characteristics of SSR in the above sorghum genomes were initially revealed. At the same time, five representative reference genomes were selected to identify the structural variation of sorghum. Finally, a convenient SSR/SV database of sorghum was constructed by integrating the above results ( http://www.sorghum.top:8079/ ; http://43.154.129.150:8079/ ; http://47.106.184.91:8079/ ). Users can query the information of related sites and primer pairs. CONCLUSIONS: Anyway, our research provides convenience for sorghum researchers and will play an active role in sorghum molecular marker-assisted breeding.

Discrimination of Camellia cultivars using iD-NA analysis.

Recently, many new cultivars have been taken abroad illegally, which is now considered an international issue. Botanical evidence found at a crime scene provides valuable information about the origin of the sample. However, botanical resources for forensic evidence remain underutilized because molecular markers, such as microsatellites, are not available without a limited set of species. Multiplexed intersimple sequence repeat (ISSR) genotyping by sequencing (MIG-seq) and its analysis method, identification of not applicable (iD-NA), have been used to determine several genome-wide genetic markers, making them applicable to all plant species, including those with limited available genetic information. Camellia cultivars are popular worldwide and are often planted in many gardens and bred to make new cultivars. In this study, we aimed to analyze Camellia cultivars/species through MIG-seq. MIG-seq could discriminate similar samples, such as bud mutants and closely related samples that could not be distinguished based on morphological features. This discrimination was consistent with that of a previous study that classified cultivars based on short tandem repeat (STR) markers, indicating that MIG-seq has the same or higher discrimination ability as STR markers. Furthermore, we observed unknown phylogenetic relationships. Because MIG-seq can be applied to unlimited species and low-quality DNA, it may be useful in various scientific fields.

Comparative Assessment of SSR and RAPD markers for genetic diversity in some Mango cultivars.

Genetic improvement mainly depends on the level of genetic variability present in the population, and the degree of genetic diversity in a population largely determines the rate of genetic advancement. For analyzing genetic diversity and determining cultivar identities, a molecular marker is a useful tool. Using 30 SSR (simple sequence repeat) and 30 RAPD (randomly amplified polymorphic DNA) markers, this study evaluated the genetic divergence of 17 mango cultivars. The effectiveness of the two marker systems was evaluated using their genetic diversity characteristics. Additionally, the effects of SM (simple matching) and Dice similarity coefficients and their effects on mango clustering were evaluated. The findings showed that SSR markers generated 192 alleles, all of which were polymorphic (100%). With RAPD markers, 434 bands were obtained, 361 of which were polymorphic (83%). The average polymorphic information content (PIC) for RAPD and SSR was 0.378 and 0.735, respectively. Using SSR markers resulted in much higher values for other genetic diversity parameters compared to RAPD markers. Furthermore, grouping the genotypes according to the two similarity coefficients without detailed consideration of these coefficients could not influence the study results. The RAPD markers OPA_01, OPM_12 followed by OPO_12 and SSR markers MIAC_4, MIAC_5 followed by mMiCIR_21 were the most informative in terms of describing genetic variability among the cultivars under study; they can be used in further investigations such as genetic mapping or marker-assisted selection. Overall, 'Zebda' cultivar was the most diverse of the studied cultivars.

Genetic Markers Regulating Blood Pressure in Extreme Discordant Sib Pairs.

Genome-wide scans performed in affected sib pairs have revealed small and often inconsistent clues to the loci responsible for the inherited components of hypertension. Since blood pressure is a quantitative trait regulated by many loci, two siblings at opposite extremes of the blood pressure distribution are more likely to have inherited different alleles at any given locus. Hence, we investigated an extreme discordant sib pair strategy to analyse markers from two previous loci of interest: (1) the Gordons syndrome locus that includes the WNK4 gene and (2) the ROMK locus identified in our first genome-wide scan. For this study, 24 sib pairs with strong family histories of essential hypertension were selected from the top and bottom 10% of the blood pressure distribution and genotyped for highly polymorphic microsatellite markers on chromosomes 11 and 17. The mean age of the population was 39.8 ± 7.8 years. A significant inverse correlation was found between the squared difference in pulse pressure and the number of alleles shared by IBD between the siblings for the DS11925 marker (r = -0.44, p = 0.031), systolic pressure and chromosome 17 markers (D17S250: r = -0.42, p = 0.040; D17S799 (r = -0.51, p = 0.011), and this relationship persisted after correcting for age and gender. Markers on chromosome 17 (D17S250, D17S928 and D17S1301) and 11 (D11S1999) also correlated with diastolic pressure. These results illustrate the successful use of discordant sib pair analysis to detect linkage within relatively small numbers of pedigrees with hypertension. Further analysis of this cohort may be valuable in complementing findings from the large genome wide scans in affected sib pairs.

Development of a molecular marker for the Pi1 gene based on the association of the SNAP protocol with the touch-up gradient amplification method.

Genetic resistance is the most effective and eco-friendly approach to combat rice blast. The application of resistance genes may be facilitated by the availability of molecular markers that allow marker-assisted selection during the breeding process. The Pi1 gene, considered to be a broad-spectrum resistance gene, might contribute to enhancing resistance to rice blast, but it lacks a suitable marker that can be used. In this study, we investigated nucleotide polymorphism in the Pik locus and combined the SNAP protocol with the touch-up gradient amplification method to develop a SNAP marker. The Pi1 SNAP marker could distinguish Pi1 from Pik alleles, and when used for screening a germplasm bank and an F2 population, it consistently identified germplasms carrying the Pi1 gene. The P1 SNAP marker offers as advantages to involve only the presence/absence analysis of PCR amplicons resolved on an agarose gel.

Mexican Biobank advances population and medical genomics of diverse ancestries.

Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories and complex trait architectures remain hidden owing to insufficient data1. To fill this gap, the Mexican Biobank project genotyped 6,057 individuals from 898 rural and urban localities across all 32 states in Mexico at a resolution of 1.8 million genome-wide markers with linked complex trait and disease information creating a valuable nationwide genotype-phenotype database. Here, using ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral population sizes across Mesoamerican regions over time, unravelling Indigenous, colonial and postcolonial demographic dynamics2-6. We observed variation in runs of homozygosity among genomic regions with different ancestries reflecting distinct demographic histories and, in turn, different distributions of rare deleterious variants. We conducted genome-wide association studies (GWAS) for 22 complex traits and found that several traits are better predicted using the Mexican Biobank GWAS compared to the UK Biobank GWAS7,8. We identified genetic and environmental factors associating with trait variation, such as the length of the genome in runs of homozygosity as a predictor for body mass index, triglycerides, glucose and height. This study provides insights into the genetic histories of individuals in Mexico and dissects their complex trait architectures, both crucial for making precision and preventive medicine initiatives accessible worldwide.

Pyramiding resistance genes for bacterial leaf blight (Xanthomonas oryzae pv. Oryzae) into the popular rice variety, Pratikshya through marker assisted backcrossing.

BACKGROUND: Bacterial leaf blight (BLB) is one of the major biotic stress in rice cultivation. Management techniques, such as the development of BLB-resistant cultivars, are required to lessen the severity of the disease attack and yield losses. Pratikshya was selected in the present investigation as the recipient parent, as it is one of the popular high-yielding rice varieties of Odisha, India, which is having excellent grain as well as cooking quality. However, Pratikshya is highly susceptible to BLB which is prevalent in Eastern Indian region. METHODS AND RESULTS: Three major BLB resistance genes xa5, xa13, and Xa21 from the donor source Swarna MAS (CR Dhan 800) were attempted to introduce into Pratikshya through a marker-assisted backcross breeding program. Those markers closely linked to the target genes were employed for foreground selection in the segregating generations till BC2F3. In each backcross generation, progenies containing all three targeted resistance genes and phenotypically more similar to the recipient parent, Pratikshya were selected and backcrossed. Screening of 1,598 plants of the BC2F2 population was conducted against BLB using Xoo inoculum and 35 resistant plants similar to Pratikshya were carried forward to the next generation. In the BC2F3 generation, 31 plants were found to possess all the three resistance genes. For background selection of plants carrying resistance genes 45 polymorphic SSR markers were employed. Evaluation of the pyramided lines at BC2F4 generation exhibited that, most pyramided lines were similar to Pratikshya in terms of morphological features and yield parameters, and some lines were superior to the recurrent parent in terms of morphological features and yield parameters. CONCLUSION: The three-gene pyramided lines showed a high level of resistance to BLB infection and are anticipated to offer a significant yield advantage over the recipient parent Pratikshya. The pyramided lines can further be used for multi-location trial, so as to be released as a variety or can be used as a potential donor for BLB resistance genes.

DNA Markers, Pathogenicity Test, and Multilocus Sequence Analysis to Differentiate and Characterize Cereal-Specific Xanthomonas translucens Strains.

Xanthomonas translucens contains a group of bacterial pathogens that are closely related and have been divided into several pathovars based on their host range. X. translucens pv. undulosa (Xtu) and X. translucens pv. translucens (Xtt) are two important pathovars that cause bacterial leaf streak disease on wheat and barley, respectively. In this study, DNA markers were developed to differentiate Xtu and Xtt and were then used to characterize a collection of X. translucens strains with diverse origins, followed by confirmation and characterization with pathogenicity tests and multilocus sequence analysis/typing (MLSA/MLST). We first developed cleaved amplified polymorphic sequence markers based on the single-nucleotide polymorphisms within a cereal pathovar-specific DNA sequence. In addition, two Xtt-specific markers, designated Xtt-XopM and Xtt-SP1, were developed from comparative genomics among the sequenced Xtt/Xtu genomes. Using the developed markers, a collection of X. translucens strains were successfully identified as Xtu or Xtt. Pathogenicity tests on wheat and barley plants and MLSA of four housekeeping genes validated the pathovar assignation of those strains. Furthermore, MLSA revealed distinct subclades within both Xtu and Xtt groups. Seven and three sequence types were identified from MLST for Xtu and Xtt strains, respectively. The establishment of efficient Xtt/Xtu differentiation methods and characterization of those strains will be useful in studying disease epidemiology and host-pathogen interactions and breeding programs when screening for sources of resistance for these two important bacterial pathogens.

Refinement of Rf1-gene localization and development of the new molecular markers for fertility restoration in sunflower.

BACKGROUND: Ability to restore male fertility is important trait for sunflower breeding. The most commonly used fertility restoration gene in the production of sunflower hybrids is Rf1. The localization of Rf1 on the linkage group 13 has been previously shown, however, its exact position, its sequence and molecular mechanism for fertility restoration remain unknown. Therefore, several markers linked to Rf1 gene, commonly used for MAS, don't always allow to identify the genotype of plants. For this reason, the search for new markers and precise localization of the Rf1 gene is an urgent task. METHODS AND RESULTS: Based on previously identified single nucleotide polymorphisms (SNPs) at LG13, significantly associated with the ability to restore male fertility, two markers have been developed that have performed well after careful evaluation. These markers, together with other Rf1 markers, were applied for genotyping 72 diversity panel accessions and 291 individuals of F2 segregating population, obtained from crossing the cytoplasmic male sterility (CMS) AHO33 and restorer RT085HO lines. The analysis revealed no recombinants between Rf1 gene and SRF833 marker, the distance between Rf1 and SRF122 marker was 1.0 cM. CONCLUSIONS: Data obtained made it possible to specify the localization of the Rf1 gene and reduce the list of candidate genes to the 3 closely linked PPR-genes spanning a total of 59 Kb. However, it cannot be ruled out that analysis of the candidate region in the genome of fertility restorer lines can reveal new candidate genes in this locus that are absent in the cytoplasmic male sterility maintainer reference sequence.