Genetic Diversity of North Eurasia Populations by Genetic Markers Associated with Diseases Impairing Human Cognitive Functions

2021 ◽  
Vol 57 (9) ◽  
pp. 1082-1091
Author(s):  
A. V. Bocharova ◽  
V. A. Stepanov
Keyword(s):  
Genetic Diversity ◽  
Genetic Markers ◽  
Cognitive Functions ◽  
North Eurasia

scholarly journals Genetic diversity of Plasmodium vivax clinical isolates from southern Pakistan using pvcsp and pvmsp1 genetic markers

2013 ◽  
Vol 12 (1) ◽  
pp. 16 ◽  
Author(s):  
Afsheen Raza ◽  
Najia K Ghanchi ◽  
Ali M Thaver ◽  
Sana Jafri ◽  
Mohammad A Beg
Keyword(s):  
Genetic Diversity ◽  
Plasmodium Vivax ◽  
Genetic Markers ◽  
Clinical Isolates

scholarly journals Informational-Statistical Aspects of Genetic Diversity in Tsigai and Tsurcana Ecotypes from Romania

2017 ◽  
Vol 74 (2) ◽  
pp. 127
Author(s):  
Gheorghe HRINCĂ
Keyword(s):  
Genetic Diversity ◽  
Genetic Markers ◽  
Genetic Variants ◽  
Point Of View ◽  
Habitat Conditions ◽  
Sheep Breeds ◽  
Allelic Distribution ◽  
Biochemical Genetic ◽  
Genetic Structures ◽  
Genetic Diversity Level

The main objective of this paper is to measure the relationships between the ecotypes belonging to the Tigai and Tsurcana breeds of Romania and to quantify the genetic diversity within them from the informational statistics point of view, depending on the relief forms of the biotope in which they live, using the genetic variants of some selective genetic markers. The researches were carried out on ecotypes of the most ubiquitous sheep breeds in Romania, Tsigai and Tsurcana whose biotopes are circumscribed by more relief forms: plain, hilly, sub-mountainous and mountainous. The sheep were electrophoretically typified at the determinant loci of haemoglobin and transferrin. Using the allelic frequencies of the haemoglobin and transferrin systems that have been processed by concepts of informational statistics, the differentiation / similarity degree among ecotypes within the two breeds was quantified by the genetic distance (D) and the informational correlation coefficient (Rx,y), as well as the diversity level (d) of the genetic structures of these ecotypes on the basis of informational energy (e). Also, the heterozygosity degree (Ht) at the Hb and Tf loci was calculated in relation to the genetic diversity level. The paper analyzes the causes of genetic similarities and differentiations among the ecotypes of these two breeds at the level of the two biochemical-genetic loci: allelic distribution of haemoglobin and transferrin, altitude of relief forms, habitat conditions etc. The benefits of such studies are also presented for the improvement, breeding and conservation of the ecotypes of these two sheep breeds from Romania.

scholarly journals GENETIC DIVERSITY IN PUMMELO (CITRUS MAXIMA [BURM.] MERRILL), CITRON (C. MEDICA L.), AND TRIFOLIATE ORANGE (PONCIRUS TRIFOLIATA [L.] RAF) EVALUATED USING RFLPS

HortScience ◽  
1992 ◽  
Vol 27 (6) ◽  
pp. 624b-624
Author(s):  
Mikeal L. Roose ◽  
Claire T. Federici ◽  
Gregory P. Copenhaver
Keyword(s):  
Genetic Diversity ◽  
Disease Resistance ◽  
Genetic Markers ◽  
Biological Species ◽  
Poncirus Trifoliata ◽  
Trifoliate Orange ◽  
Citrus Germplasm ◽  
Citrus Maxima ◽  
Novel Alleles ◽  
Citrus Variety

To assess genetic diversity in the UC Riverside Citrus Variety Collection, all accessions of pummelo (59), citron (24), and trifoliate orange (48) were studied for RFLP variation using 11-18 cDNA probes that had previously been shown to reveal polymorphism in a broad range of citrus germplasm. Inheritance studies have shown that these probes hybridize to at least 20 loci. The taxa studied are believed to represent biological species rather than hybrids. Citrons were nearly monomorphic and most appeared homozygous at all of the loci studied. Pummelos were very polymorphic and highly heterozygous. Trifoliate orange, an important source of disease resistance in rootstock breeding, was nearly monomorphic but moderately heterozygous (17% of loci). Most accessions of trifoliate orange have evidently differentiated only by mutation. One multilocus probe separated trifoliate orange accessions into 3 groups. Two new trifoliate orange accessions had novel alleles at some loci. The use of genetic markers to recognize hybrid accessions classified as members of species will be discussed.

Application of molecular markers in parental selection in soybean

2008 ◽  
Vol 56 (4) ◽  
pp. 393-398 ◽  
Author(s):  
A. Sudaric ◽  
M. Vrataric ◽  
I. Rajcan ◽  
T. Duvnjak ◽  
M. Volenik
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Genetic Markers ◽  
Genetic Relationships ◽  
Field Trials ◽  
Agronomic Performance ◽  
Phenotypic Data ◽  
Parental Selection ◽  
Soybean Germplasm ◽  
Diversity Assessment

The rate of genetic gain in the quantity and quality of soybean grain depends considerably on the genetic diversity of the selected parental components. Genetic diversity assessment is a crucial aspect of breeding that maximizes genetic improvement. The objectives of this study were to evaluate the genetic diversity of the selected soybean germplasm using genetic markers, as well as to compare the effectiveness of breeding procedures with and without the use of genetic markers in parental selection. The genetic relationships within the selected soybean germplasm were estimated using 14 simple sequence repeats (SSRs). The agronomic performance (grain yield, protein and oil content in the grain) of the parental components and derived lines was determined in field trials. Based on SSR marker data and phenotypic data, an association was found between the agronomic performance of the derived lines and the genetic distance between the parental lines. Crosses between more diverse parents resulted in derived lines with greater values for grain yield and grain quality compared with the parents than crosses between similar parents. The results indicated the usefulness of genetic marker information in parental selection, contributing to breeding efficiency.

scholarly journals Genetic markers of decline human cognitive functions in Alzheimer`s disease

2018 ◽  
pp. 14-19
Author(s):  
А.В. Бочарова ◽  
А.В. Марусин ◽  
О.А. Макеева ◽  
И.А. Жукова ◽  
Н.Г. Жукова ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Genetic Markers ◽  
Cognitive Functions ◽  
Control Design ◽  
Case Control ◽  
Minor Allele ◽  
Russian Population ◽  
Polymorphic Variant ◽  
Control Group

Проведено репликативное ассоциативное исследование в дизайне случай-контроль 30 однонуклеотидных полиморфных вариантов генов, показавших высокодостоверную ассоциацию с когнитивными функциями, болезнью Альцгеймера (БА) или шизофренией по данным полногеномных ассоциативных исследований и метаанализам. Была установлена статистически достоверная ассоциация полиморфного варианта rs12922317 гена SNX29 с фенотипом БА, что в других работах не встречалось. Минорный аллель G rs12922317 гена SNX29 достоверно чаще встречался среди больных БА по сравнению с контрольной группой (OR = 1,57, 95% CI 1,14-2,16, p = 0,006). В других работах была показана роль полиморфного маркера rs12922317 гена SNX29 в развитии таких заболеваний, как шизофрения, В-клеточная лимфома яичка и эпителиальная овариальная карцинома. We have held a replication associative study in case-control design of 30 SNPs of genes that showed association with cognitive functions or Alzheimer’s disease or schizophrenia according to the data of GWAS. A statistically significant association of the polymorphic variant rs12922317 of SNX29 gene with the Alzheimer’s disease in the Russian population was established, which was not found in other studies. Minor allele G rs12922317 of SNX29 gene was significantly more frequent among patients with the Alzheimer’s disease compared with control group (OR = 1.57, 95% CI 1.14-2.16, p = 0.006), and according to GWAS this marker was associated with schizophrenia.

scholarly journals Genetic Diversity and Population Structure of 93 Rice Cultivars (Lines) (Oryza Sativa Xian Group) in Qinba in China by 3 Types of Genetic Markers

2021 ◽  
Author(s):  
Yu Zhang ◽  
Yewen Wang ◽  
Peijiang Li ◽  
Yuexing Wang ◽  
Shimao Zheng ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variation ◽  
Genetic Markers ◽  
Ssr Markers ◽  
Diversity Index ◽  
Indica Rice ◽  
Mantel Test ◽  
Phenotypic Traits ◽  
Phenotypic Analysis

Abstract Background: The Qinba region is the transition region between Indica and Japonica varieties in China. It has a long history of Indica rice planting of more than 7000 years and is also a planting area for fine-quality Indica rice. The aims of this study are to explore different genetic markers applied to the analysis population structure, genetic diversity, selection and optimization of molecular markers of Indica rice, thus providing more information for the protection and utilization on germplasm resources of Indica rice. Methods: 15 phenotypic traits, a core set of 48 SSR markers as well as SNPs data obtained by genotyping-by-sequencing (GBS, NlaIII and MseI digestion, referred to as SNPs-NlaIII and SNPs-MseI, respectively) for this panel of 93 samples using the Illumina HiSeq2000 sequencing platform, were employed to explore the genetic diversity and population structure of 93 samples.Results: The average of coefficient of variation (CV) and diversity index (He) were 29.72% and 1.83 ranging from 3.07% to 137.43%, and from 1.45 to 2.03, respectively. The correlation coefficient between 15 phenotypic traits ranged from 0.984 to -0.604. The first four PCs accounted for 70.693% phenotypic variation based on phenotypic analysis. A total of 379 alleles were obtained using SSR markers, encompassing an average of 8.0 alleles per primer. Polymorphic bands (PPB) and polymorphism information content (PIC) was 88.65% and 0.77, respectively. The Mantel test showed that the correlation between the genetic distance matrix based on SNPs-NlaIII and SNPs-MseI was the largest (R2=0.88), and that based on 15 phenotypic traits and SSR was the smallest (R2=0.09). The 93 samples could be clustered into two subgroups by 3 types of genetic markers. Molecular variance analysis revealed that the genetic variation was 2% among populations and 98% within populations (the Nm was 0.16), Tajima’s D value was 1.66, the FST between the two populations was 0.61 based on 72,824 SNPs. Conclusions: The population genetic variation explained by SNPs was larger than that explained by SSRs. The gene flow of 93 samples used in this study was larger than that of naturally self-pollinated crops, which may be caused by long-term breeding selection of Indica rice in the Qinba region. The genetic structure of the 93 samples was simple and lacked rare alleles.

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