Characterization of wheat-Thinopyrum bessarabicum genetic stock for stripe rust and Karnal bunt resistance

Utilization of modern breeding techniques for developing high yielding and uniform plant types ultimately narrowing the genetic makeup of most crops. Narrowed genetic makeup of these crops has made them vulnerable towards disease and insect epidemics. For sustainable crop production, genetic variability of these crops must be broadened against various biotic and abiotic stresses. One of the ways to widen genetic configuration of these crops is to identify novel additional sources of durable resistance. In this regard crops wild relatives are providing valuable sources of allelic diversity towards various biotic, abiotic stress tolerance and quality components. For incorporating novel variability from wild relative’s wide hybridization technique has become a promising breeding method. For this purpose, wheat-Th. bessarabicum amphiploid, addition and translocation lines have been screened in field and screen house conditions to get novel sources of yellow rust and Karnal bunt resistant. Stripe rust screening under field conditions has revealed addition lines 4JJ and 6JJ as resistant to moderately resistant while addition lines 3JJ, 5JJ, 7JJ and translocation lines Tr-3, Tr-6 as moderately resistant wheat-Thinopyrum-bessarabicum genetic stock. Karnal bunt screening depicted addition lines 5JJ and 4JJ as highly resistant genetic stock. These genetic stocks may be used to introgression novel stripe rust and Karnal bunt resistance from the tertiary gene pool into susceptible wheat backgrounds.

Genetic Diversity of Fig (Ficus Carica L.) Germplasm From The Mediterranean Basin As Revealed by SSR Markers

Fig (Ficus carica L.) tree is cultivated worldwide and is highly appreciated for its fruit, which is consumed fresh or dried, having high nutritional and pharmaceutical value and for these reasons there is an increasing interest for its cultivation. In the present study, an ex situ collection of 60 fig accessions (41 indigenous Greek and 19 from other Mediterranean countries) was established and its diversity was analyzed using eight simple sequence repeat (SSR) loci. Greek fig genotypes showed relatively low allelic variation (average number of SSR alleles per locus was 3.3), an excess of heterozygosity (mean He = 0.449 and Ho = 0.537), and extensive outbreeding (mean F index -0.184). Cluster analysis showed that the established fig population exhibited weak genetic structure with the majority of the genetic variation (69%) being present within individual members of the clusters. Both cluster and principal coordinate analysis confirmed that there is no correlation between genetic makeup and geographical origin of the fig accessions. Polymorphism information content (PIC) with an average of 0.398 was reasonably informative. An identification key scheme for fig cultivars that will be useful in cultivar discrimination and intellectual property protection was developed. This work will contribute to a sustainable fig production regionally and worldwide, through the establishment and conservation of a reference fig collection, providing germplasm for future breeding efforts.

Identification of Accession-Specific Variants and Development of KASP Markers for Assessing the Genetic Makeup of Crop Seeds

Background Most crop seeds are F1 hybrids. Seed providers and plant breeders must be confident that the seed supplied to growers is of known, and uniform, genetic makeup. This requires maintenance of pure genotypes of the parental lines and testing to ensure the genetic purity of the F1 seed. Traditionally, seed testing for purity was done with a grow-out test (GOT) in the field, but these tests are time consuming and costly. Seed testing with molecular markers was introduced as a replacement for GOT early in the last decade. Recently, Kompetitive allele specific PCR (KASP) markers are promising tools for genetic testing of seeds. However, the markers available at that time could be inaccurate and could be used with only a small number of accessions or varieties due to the limited genetic information and reference genomes available. Results Here, we identified 4,925,742 SNPs in 50 accessions of the Brasscia rapa core collection. Furthermore, the total 2,925 SNPs were selected as accession-specific SNPs, considering properties of flanking region harboring accession-specific SNPs and genic region conservation among accessions by NGS analysis. In total, 100 accession-specific markers were developed as accession-specific KASP markers. Based on the results of our validation experiments, the accession-specific markers successfully distinguish individuals from the mixed population including 50 target accessions from B. rapa core collection and outgroup. Conclusions This study provides efficient methods for developing KASP markers to distinguish individuals from the mixture comprised of breeding lines and germplasms from the resequencing data of Chinese cabbage (Brassica rapa spp. pekinensis).

Association of AVPR1A Polymorphism with Criminal Intent

Background: The human behavior is influenced by genetic as well as environment components. Likewise, the aggressive behavior having an intent of criminality is also governed by both environmental and genetic makeup. Aim: The genetic element has been explored by analyzing the microsatellite RS1 and RS3 of AVPRIA gene which showed strong variations in short tandem repeats (STRs) of convicted offenders when they were compared with normal population. Methods: Blood samples of 100 convicted offenders were taken and DNA was extracted using PCI protocol. The PCR was then carried out using primers and the products were send for gene sequencing. The results were compared with that of general population having no history of crime or psychological abnormality. Results: The microsatellite RS1 and RS3 of AVPRIA gene showed strong variations in short tandem repeats (STRs) of convicted offenders when they were compared with normal population. Keywords: AVPR1A, criminal intent, PCR

Genotypes and Phenotypes: A Review of Pulmonary Hypertension in Genetic Syndromes

There has been significant advancement in the understanding of the genetics of pulmonary hypertension (PH), particularly in those with heritable or idiopathic pulmonary arterial hypertension. In addition to genetic variants with a primarily pulmonary vascular disease phenotype, the prevalence of PH in other genetic syndromes is increasingly recognized. We will review the current knowledge of PH associated with multisystem genetic syndromes. There is high prevalence of coexisting cardiac and pulmonary disease, making it challenging to discern whether PH is secondary to these processes or underlying genetic makeup. There is a paucity of data on response to PH-targeted therapy and implications on overall prognosis.

Pharmacogenomics of “Core” Essential Medicines

Pharmacogenomics uses information about a person’s genetic makeup to choose the drugs dosage regimens that are likely to work best for that particular person. The genomic research has changed the “one size fits all” approach and opened the door to more personalized approaches that consider individual genetic makeup tend to enhance the efficacy and safety of drugs; thus saving time and money. Patient DNA influences multiple steps in which the drugs interact with the body and where will the drug act in the body. Genetic makeup-based prescription, design, and implementation of therapy do not only improve the outcome of treatments, but also reduce the risk of toxicity and other adverse events. The aim of the chapter is to explore the documented pharmacogenomics of essential as per pharmacogenomic biomarkers in drug labeling; and suggest efficacy and safety modifications. Polymorphism of drug metabolizing enzymes has the greatest effect on inter individual variability of drug response; affecting the response of individuals to drugs used in the treatment of diseases. Also, genetic deficiency of some enzymes limits effectiveness of drugs in treating concerned diseases. Gene testing prior to initiating concerned treatment is the best clinical practice that to enhance the efficacy and safety of drugs.

Gene-Environment Interactions in Schizophrenia: A Literature Review

Schizophrenia is a devastating mental illness with a strong genetic component that is the subject of extensive research. Despite the high heritability, it is well recognized that non-genetic factors such as certain infections, cannabis use, psychosocial stress, childhood adversity, urban environment, and immigrant status also play a role. Whenever genetic and non-genetic factors co-exist, interaction between the two is likely. This means that certain exposures would only be of consequence given a specific genetic makeup. Here, we provide a brief review of studies reporting evidence of such interactions, exploring genes and variants that moderate the effect of the environment to increase risk of developing psychosis. Discovering these interactions is crucial to our understanding of the pathogenesis of complex disorders. It can help in identifying individuals at high risk, in developing individualized treatments and prevention plans, and can influence clinical management.

Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle

The use of pharmacogenomics in clinical practice is becoming standard of care. However, due to the complex genetic makeup of pharmacogenes, not all genetic variation is currently accounted for. Here, we show the utility of long-read sequencing to resolve complex pharmacogenes by analyzing a well-characterised sample. This data consists of long reads that were processed to resolve phased haploblocks. 73% of pharmacogenes were fully covered in one phased haploblock, including 9/15 genes that are 100% complex. Variant calling accuracy in the pharmacogenes was high, with 99.8% recall and 100% precision for SNVs and 98.7% precision and 98.0% recall for Indels. For the majority of gene-drug interactions in the DPWG and CPIC guidelines, the associated genes could be fully resolved (62% and 63% respectively). Together, these findings suggest that long-read sequencing data offers promising opportunities in elucidating complex pharmacogenes and haplotype phasing while maintaining accurate variant calling.

The genomic landscape of Mexican Indigenous populations brings insights into the peopling of the Americas

The genetic makeup of Indigenous populations inhabiting Mexico has been strongly influenced by geography and demographic history. Here, we perform a genome-wide analysis of 716 newly genotyped individuals from 60 of the 68 recognized ethnic groups in Mexico. We show that the genetic structure of these populations is strongly influenced by geography, and our demographic reconstructions suggest a decline in the population size of all tested populations in the last 15–30 generations. We find evidence that Aridoamerican and Mesoamerican populations diverged roughly 4–9.9 ka, around the time when sedentary farming started in Mesoamerica. Comparisons with ancient genomes indicate that the Upward Sun River 1 (USR1) individual is an outgroup to Mexican/South American Indigenous populations, whereas Anzick-1 was more closely related to Mesoamerican/South American populations than to those from Aridoamerica, showing an even more complex history of divergence than recognized so far.