scholarly journals A carnivorous plant genetic map: pitcher/insect-capture QTL on a genetic linkage map ofSarracenia

2018 ◽  
Vol 1 (6) ◽  
pp. e201800146
Author(s):  
Russell L Malmberg ◽  
Willie L Rogers ◽  
Magdy S Alabady
Keyword(s):  
Linkage Map ◽  
Genetic Basis ◽  
Hot Spot ◽  
Carnivorous Plant ◽  
Single Nucleotide ◽  
Epistatic Interactions ◽  
Multiple Loci ◽  
Eukaryotic Species ◽  
Qtl Map ◽  
Insight Into

The study of carnivorous plants can afford insight into their unique evolutionary adaptations and their interactions with prokaryotic and eukaryotic species. ForSarracenia(pitcher plants), we identified 64 quantitative trait loci (QTL) for insect-capture traits of the pitchers, providing the genetic basis for differences between the pitfall and lobster-trap strategies of insect capture. The linkage map developed here is based upon the F2 of a cross betweenSarracenia roseaandSarracenia psittacina; we mapped 437 single nucleotide polymorphism and simple sequence repeat markers. We measured pitcher traits which differ betweenS. roseaandS. psittacina, mapping 64 QTL for 17 pitcher traits; there are hot-spot locations where multiple QTL map near each other. There are epistatic interactions in many cases where there are multiple loci for a trait. The QTL map uncovered the genetic basis for the differences between pitfall- and lobster-traps, and the changes that occurred during the divergence of these species. The longevity and clonability ofSarraceniaplants make the F2 mapping population a resource for mapping more traits and for phenotype-to-genotype studies.

Insights Into Functional and Structural Impacts of nsSNPs in XPA-DNA Repairing Gene

2022 ◽  
Vol 12 (1) ◽  
pp. 1-12
Author(s):  
Nadeem Ahmad ◽  
Zubair Sharif ◽  
Sarah Bukhari ◽  
Omer Aziz
Keyword(s):  
Genetic Basis ◽  
Structure And Function ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Computational Tools ◽  
Project Hope ◽  
Structural Impacts ◽  
And Function ◽  
Protein Variants ◽  
Insight Into

Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation in people. SNPs are valuable resource for exploring the genetic basis of disease. The XPA gene provides a way to produce a protein used to repair damaged DNA. This study used the computational methods to classify SNPs and estimate their probability of being neutral or deleterious. The purpose of this analysis is to predict the effect of nsSNPs on the structure and function of XPA proteins. Data was collected from the NCBI hosted dbSNP. The authors examined the pathogenic effect of 194 nsSNPs in the XPA gene with computational tools. Four nsSNPs (C126S, C126W, R158S, and R227Q) those potentially effect on structure and function of the XPA protein were identified with combination of SIFT, PolyPhen, Provean, PHD-SNP, I-Mutant, ConSurf server and Project HOPE. This is the first comprehensive analysis in which XPA gene variants studied using in silico methods and this research able to gain further insight into XPA protein variants and function.

Phylogeny of actin and tubulin gene homologs in diverse eukaryotic species

2019 ◽  
Vol 79 (01S) ◽  
Author(s):  
Pawan Kumar Jayaswal ◽  
Asheesh Shanker ◽  
Nagendra Kumar Singh
Keyword(s):  
Evolutionary Relationship ◽  
Genomic Data ◽  
Gene Clusters ◽  
Species Trees ◽  
Model Species ◽  
Tubulin Gene ◽  
Tubulin Genes ◽  
Eukaryotic Species ◽  
Relationship Of ◽  
Insight Into

Actin and tubulin are cytoskeleton proteins, which are important components of the celland are conserved across species. Despite their crucial significance in cell motility and cell division the distribution and phylogeny of actin and tubulin genes across taxa is poorly understood. Here we used publicly available genomic data of 49 model species of plants, animals, fungi and Protista for further understanding the distribution of these genes among diverse eukaryotic species using rice as reference. The highest numbers of rice actin and tubulin gene homologs were present in plants followed by animals, fungi and Protista species, whereas ten actin and nine tubulin genes were conserved in all 49 species. Phylogenetic analysis of 19 actin and 18 tubulin genes clustered them into four major groups each. One each of the actin and tubulin gene clusters was conserved across eukaryotic species. Species trees based on the conserved actin and tubulin genes showed evolutionary relationship of 49 different taxa clustered into plants, animals, fungi and Protista. This study provides a phylogenetic insight into the evolution of actin and tubulin genes in diverse eukaryotic species.

EpiPen: An R Package to Investigate Two-Locus Epistatic Models

2014 ◽  
Vol 17 (4) ◽  
Author(s):  
Raymond K. Walters ◽  
Charles Laurin ◽  
Gitta H. Lubke
Keyword(s):  
Power Analysis ◽  
R Package ◽  
Simulation Studies ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Epistatic Interactions ◽  
Model Interpretation ◽  
Genome Wide ◽  
Using Data ◽  
Power Analyses

Epistasis is a growing area of research in genome-wide studies, but the differences between alternative definitions of epistasis remain a source of confusion for many researchers. One problem is that models for epistasis are presented in a number of formats, some of which have difficult-to-interpret parameters. In addition, the relation between the different models is rarely explained. Existing software for testing epistatic interactions between single-nucleotide polymorphisms (SNPs) does not provide the flexibility to compare the available model parameterizations. For that reason we have developed an R package for investigating epistatic and penetrance models, EpiPen, to aid users who wish to easily compare, interpret, and utilize models for two-locus epistatic interactions. EpiPen facilitates research on SNP-SNP interactions by allowing the R user to easily convert between common parametric forms for two-locus interactions, generate data for simulation studies, and perform power analyses for the selected model with a continuous or dichotomous phenotype. The usefulness of the package for model interpretation and power analysis is illustrated using data on rheumatoid arthritis.

scholarly journals Interactions of COMT and ALDH2 Genetic Polymorphisms on Symptoms of Parkinson’s Disease

2021 ◽  
Vol 11 (3) ◽  
pp. 361
Author(s):  
Rwei-Ling Yu ◽  
Shao-Ching Tu ◽  
Ruey-Meei Wu ◽  
Pei-An Lu ◽  
Chun-Hsiang Tan
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Detrimental Effect ◽  
Personal Hygiene ◽  
Nucleotide Polymorphisms ◽  
Monoamine Neurotransmitters ◽  
Single Nucleotide ◽  
Detrimental Impact ◽  
Reduced Activity ◽  
Insight Into

(1) Background: Monoamine neurotransmitters play essential roles in the normal functioning of our nervous system. However, the metabolism of monoamine neurotransmitters is accompanied by the production of neurotoxic metabolites, and inefficient removal of the metabolites has been suggested to cause neurodegeneration. (2) Methods: To examine the effect of reduced activity of catechol-O-methyltransferase (COMT) and aldehyde dehydrogenase 2 (ALDH2) conferred by single nucleotide polymorphisms COMT rs4680(A) and ALDH2 rs671(A) on the symptoms of patients with Parkinson’s disease (PD), a total of 114 PD patients were recruited cross-sectionally and received genotyping for rs4680 and rs671 along with MDS-UPDRS evaluation. (3) Results: We found that patients carrying rs4680(A) had more severe bradykinesia in the upper extremity and rest tremor. Besides, patients carrying rs671(A) had more difficulty maintaining personal hygiene, while patients with genotype rs671(GG) had higher scores in the item “depressed mood.” More importantly, we found the effect of rs4680 to be moderated by rs671 SNP for the symptom of “hand movements.” The detrimental impact of rs4680(A) is more pronounced in the presence of genotype rs671(GG). (4) Conclusions: This study facilitates a deeper understanding of the detrimental effect of reduced activity of COMT and ALDH2 conferred by genetic variation and provides novel insight into the interactions between enzymes metabolizing monoamine neurotransmitters in the pathogenesis of PD.

scholarly journals Genetic Mapping by Sequencing More Precisely Detects Loci Responsible for Anaerobic Germination Tolerance in Rice

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 705
Author(s):  
John Carlos I. Ignacio ◽  
Maricris Zaidem ◽  
Carlos Casal ◽  
Shalabh Dixit ◽  
Tobias Kretzschmar ◽  
...  
Keyword(s):  
Genetic Basis ◽  
Snp Markers ◽  
Nucleotide Polymorphism ◽  
Rice Varieties ◽  
Single Nucleotide ◽  
Genotyping Platform ◽  
Anaerobic Germination ◽  
Direct Seeded ◽  
Mapping By Sequencing ◽  
Simple Sequence

Direct seeded rice (DSR) is a mainstay for planting rice in the Americas, and it is rapidly becoming more popular in Asia. It is essential to develop rice varieties that are suitable for this type of production system. ASD1, a landrace from India, possesses several traits desirable for direct-seeded fields, including tolerance to anaerobic germination (AG). To map the genetic basis of its tolerance, we examined a population of 200 F2:3 families derived from a cross between IR64 and ASD1 using the restriction site-associated DNA sequencing (RAD-seq) technology. This genotyping platform enabled the identification of 1921 single nucleotide polymorphism (SNP) markers to construct a high-resolution genetic linkage map with an average interval of 0.9 cM. Two significant quantitative trait loci (QTLs) were detected on chromosomes 7 and 9, qAG7 and qAG9, with LOD scores of 7.1 and 15.0 and R2 values of 15.1 and 29.4, respectively. Here, we obtained more precise locations of the QTLs than traditional simple sequence repeat and low-density SNP genotyping methods and may help further dissect the genetic factors of these QTLs.

scholarly journals Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa

2021 ◽  
Vol 22 (7) ◽  
pp. 3477
Author(s):  
Julia Zaborowska ◽  
Bartosz Łabiszak ◽  
Annika Perry ◽  
Stephen Cavers ◽  
Witold Wachowiak
Keyword(s):  
Population Structure ◽  
Candidate Genes ◽  
Genetic Basis ◽  
Redox Homeostasis ◽  
Snp Markers ◽  
Regulation Of Transcription ◽  
Single Nucleotide ◽  
Homeostasis Regulation ◽  
Genomic Regions ◽  
Mountain Plants

Mountain plants, challenged by vegetation time contractions and dynamic changes in environmental conditions, developed adaptations that help them to balance their growth, reproduction, survival, and regeneration. However, knowledge regarding the genetic basis of species adaptation to higher altitudes remain scarce for most plant species. Here, we attempted to identify such corresponding genomic regions of high evolutionary importance in two closely related European pines, Pinus mugo and P. uncinata, contrasting them with a reference lowland relative—P. sylvestris. We genotyped 438 samples at thousands of single nucleotide polymorphism (SNP) markers, tested their genetic differentiation and population structure followed by outlier detection and gene ontology annotations. Markers clearly differentiated the species and uncovered patterns of population structure in two of them. In P. uncinata three Pyrenean sites were grouped together, while two outlying populations constituted a separate cluster. In P. sylvestris, Spanish population appeared distinct from the remaining four European sites. Between mountain pines and the reference species, 35 candidate genes for altitude-dependent selection were identified, including such encoding proteins responsible for photosynthesis, photorespiration and cell redox homeostasis, regulation of transcription, and mRNA processing. In comparison between two mountain pines, 75 outlier SNPs were found in proteins involved mainly in the gene expression and metabolism.

scholarly journals Prevalence of ACSL (rs6552828) polymorphism among runners

2019 ◽  
Vol 24 ◽  
pp. 121-128
Author(s):  
Sigal Ben-Zaken ◽  
Yoav Meckel ◽  
Dan Nemet ◽  
Alon Eliakim
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Genetic Basis ◽  
Maximal Oxygen Consumption ◽  
Professional Athletes ◽  
Distance Runners ◽  
Nucleotide Polymorphism ◽  
Long Distance ◽  
Single Nucleotide ◽  
The Common

The ACSL A/G polymorphism is associated with endurance trainability. Previous studies have demonstrated that homozygotes of the minor AA allele had a reduced maximal oxygen consumption response to training compared to the common GG allele homozygotes, and that the ACSL A/G single nucleotide polymorphism explained 6.1% of the variance in the VO2max response to endurance training. The contribution of ACSL single nucleotide polymorphism to endurance trainability was shown in nonathletes, however, its potential role in professional athletes is not clear. Moreover, the genetic basis to anaerobic trainability is even less studied. Therefore, the aim of the present study was to examine the prevalence of ACSL single nucleotide polymorphism among professional Israeli long distance runners (n=59), middle distance runners (n=31), sprinters and jumpers (n=48) and non-athletic controls (n=60). The main finding of the present study was that the ACSL1 AA genotype, previously shown to be associated with reduced endurance trainability, was not higher among sprinters and jumpers (15%) compared to middle- (16%) and long-distance runners (15%). This suggests that in contrast to previous studies indicating that the ACSL1 single nucleotide polymorphism may influence endurance trainability among non-athletic individuals, the role of this polymorphism among professional athletes is still not clear.

scholarly journals Bayesian reassessment of the epigenetic architecture of complex traits

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel Trejo Banos ◽  
Daniel L. McCartney ◽  
Marion Patxot ◽  
Lucas Anchieri ◽  
Thomas Battram ◽  
...  
Keyword(s):  
Complex Traits ◽  
Complex Disease ◽  
Target Identification ◽  
Blood Cholesterol ◽  
Methylation Array ◽  
Single Nucleotide ◽  
Epigenetic Effects ◽  
Probability Prediction ◽  
Stimuli Response ◽  
Insight Into

Abstract Linking epigenetic marks to clinical outcomes improves insight into molecular processes, disease prediction, and therapeutic target identification. Here, a statistical approach is presented to infer the epigenetic architecture of complex disease, determine the variation captured by epigenetic effects, and estimate phenotype-epigenetic probe associations jointly. Implicitly adjusting for probe correlations, data structure (cell-count or relatedness), and single-nucleotide polymorphism (SNP) marker effects, improves association estimates and in 9,448 individuals, 75.7% (95% CI 71.70–79.3) of body mass index (BMI) variation and 45.6% (95% CI 37.3–51.9) of cigarette consumption variation was captured by whole blood methylation array data. Pathway-linked probes of blood cholesterol, lipid transport and sterol metabolism for BMI, and xenobiotic stimuli response for smoking, showed >1.5 times larger associations with >95% posterior inclusion probability. Prediction accuracy improved by 28.7% for BMI and 10.2% for smoking over a LASSO model, with age-, and tissue-specificity, implying associations are a phenotypic consequence rather than causal.

Epistatic Interactions Between smell-impaired Loci in Drosophila melanogaster

Genetics ◽  
1998 ◽  
Vol 148 (4) ◽  
pp. 1885-1891 ◽  
Author(s):  
Grażyna M Fedorowicz ◽  
James D Fry ◽  
Robert R H Anholt ◽  
Trudy F C Mackay
Keyword(s):  
Drosophila Melanogaster ◽  
Significant Variation ◽  
P Element ◽  
Olfactory Behavior ◽  
Epistatic Interactions ◽  
Combining Abilities ◽  
Multiple Loci ◽  
Quantitative Genetic ◽  
Half Diallel ◽  
Diallel Design

Abstract Odor-guided behavior is a polygenic trait determined by the concerted expression of multiple loci. Previously, P-element mutagenesis was used to identify single P[lArB] insertions, in a common isogenic background, with homozygous effects on olfactory behavior. Here, we have crossed 12 lines with these smell impaired (smi) mutations in a half-diallel design (excluding homozygous parental genotypes and reciprocal crosses) to produce all possible 66 doubly heterozygous hybrids with P[lArB] insertions at two distinct locations. The olfactory behavior of the transheterozygous progeny was measured using an assay that quantified the avoidance response to the repellent odorant benzaldehyde. There was significant variation in general combining abilities of avoidance scores among the smi mutants, indicating variation in heterozygous effects. Further, there was significant variation among specific combining abilities of each cross, indicating dependencies of heterozygous effects on the smi locus genotypes, i.e., epistasis. Significant epistatic interactions were identified for nine transheterozygote genotypes, involving 10 of the 12 smi loci. Eight of these loci form an interacting ensemble of genes that modulate expression of the behavioral phenotype. These observations illustrate the power of quantitative genetic analyses to detect subtle phenotypic effects and point to an extensive network of epistatic interactions among genes in the olfactory subgenome.

scholarly journals QTL analysis of self-selected macronutrient diet intake: fat, carbohydrate, and total kilocalories

2002 ◽  
Vol 11 (3) ◽  
pp. 205-217 ◽  
Author(s):  
Brenda K. Smith Richards ◽  
Brenda N. Belton ◽  
Angela C. Poole ◽  
James J. Mancuso ◽  
Gary A. Churchill ◽  
...  
Keyword(s):  
Body Weight ◽  
Qtl Analysis ◽  
Genetic Basis ◽  
Body Weight Gain ◽  
Macronutrient Intake ◽  
Naturally Occurring ◽  
Trait Locus ◽  
Diet Intake ◽  
Insight Into ◽  
Protein Quantitative Trait Locus

The present study investigated the inheritance of dietary fat, carbohydrate, and kilocalorie intake traits in an F2 population derived from an intercross between C57BL/6J (fat-preferring) and CAST/EiJ (carbohydrate-preferring) mice. Mice were phenotyped for self-selected food intake in a paradigm which provided for 10 days a choice between two macronutrient diets containing 78/22% of energy as a composite of either fat/protein or carbohydrate/protein. Quantitative trait locus (QTL) analysis identified six significant loci for macronutrient intake: three for fat intake on chromosomes (Chrs) 8 ( Mnif1), 18 ( Mnif2), and X ( Mnif3), and three for carbohydrate intake on Chrs 17 ( Mnic1), 6 ( Mnic2), and X ( Mnic3). An absence of interactions among these QTL suggests the existence of separate mechanisms controlling the intake of fat and carbohydrate. Two significant QTL for cumulative kilocalorie intake, adjusted for baseline body weight, were found on Chrs 17 ( Kcal1) and 18 ( Kcal2). Without body weight adjustment, another significant kcal locus appeared on distal Chr 2 ( Kcal3). These macronutrient and kilocalorie QTL, with the exception of loci on Chrs 8 and X, encompassed chromosomal regions influencing body weight gain and adiposity in this F2 population. These results provide new insight into the genetic basis of naturally occurring variation in nutrient intake phenotypes.

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