scholarly journals Genome-Wide Association Study of Natural Variation in Arabidopsis Exposed to Acid Mine Drainage Toxicity and Validation of Associated Genes with Reverse Genetics

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 191
Author(s):  
Bandana Ghimire ◽  
Thangasamy Saminathan ◽  
Abiodun Bodunrin ◽  
Venkata Lakshmi Abburi ◽  
Arjun Ojha Kshetry ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Association Study ◽  
Root Length ◽  
Natural Variation ◽  
Genome Wide Association Study ◽  
Mine Drainage ◽  
The United States ◽  
Genome Wide Association ◽  
Acid Mine ◽  
Genome Wide

Acid mine drainage (AMD) is a huge environmental problem in mountain-top mining regions worldwide, including the Appalachian Mountains in the United States. This study applied a genome-wide association study (GWAS) to uncover genomic loci in Arabidopsis associated with tolerance to AMD toxicity. We characterized five major root phenotypes—cumulative root length, average root diameter, root surface area, root volume, and primary root length—in 180 Arabidopsis accessions in response to AMD-supplemented growth medium. GWAS of natural variation in the panel revealed genes associated with tolerance to an acidic environment. Most of these genes were transcription factors, anion/cation transporters, metal transporters, and unknown proteins. Two T-DNA insertion mutants, At1g63005 (miR399b) and At2g05635 (DEAD helicase RAD3), showed enhanced acidity tolerance. Our GWAS and the reverse genetic approach revealed genes involved in conferring tolerance to coal AMD. Our results indicated that proton resistance in hydroponic conditions could be an important index to improve plant growth in acidic soil, at least in acid-sensitive plant species.

scholarly journals Genome-Wide Association Study Unravels LRK1 as a Dark Respiration Regulator in Rice (Oryza sativa L.)

2020 ◽  
Vol 21 (14) ◽  
pp. 4930
Author(s):  
Mingnan Qu ◽  
Jemaa Essemine ◽  
Ming Li ◽  
Shuoqi Chang ◽  
Tiangen Chang ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Association Study ◽  
Natural Variation ◽  
Genome Wide Association Study ◽  
Oryza Sativa L ◽  
Dark Respiration ◽  
Genome Wide Association ◽  
Strong Positive Correlation ◽  
Diversity Panel ◽  
Genome Wide

Respiration is a major plant physiological process that generates adenosine triphosphate (ATP) to support the various pathways involved in the plant growth and development. After decades of focused research on basic mechanisms of respiration, the processes and major proteins involved in respiration are well elucidated. However, much less is known about the natural variation of respiration. Here we conducted a survey on the natural variation of leaf dark respiration (Rd) in a global rice minicore diversity panel and applied a genome-wide association study (GWAS) in rice (Oryza sativa L.) to determine candidate loci associated with Rd. This rice minicore diversity panel consists of 206 accessions, which were grown under both growth room (GR) and field conditions. We found that Rd shows high single-nucleotide polymorphism (SNP) heritability under GR and it is significantly affected by genotype-environment interactions. Rd also exhibits strong positive correlation to the leaf thickness and chlorophyll content. GWAS results of Rd collected under GR and field show an overlapped genomic region in the chromosome 3 (Chr.3), which contains a lead SNP (3m29440628). There are 12 candidate genes within this region; among them, three genes show significantly higher expression levels in accessions with high Rd. Particularly, we observed that the LRK1 gene, annotated as leucine rich repeat receptor kinase, was up-regulated four times. We further found that a single significantly associated SNPs at the promoter region of LRK1, was strongly correlated with the mean annual temperature of the regions from where minicore accessions were collected. A rice lrk1 mutant shows only ~37% Rd of that of WT and retarded growth following exposure to 35 °C for 30 days, but only 24% reduction in growth was recorded under normal temperature (25 °C). This study demonstrates a substantial natural variation of Rd in rice and that the LRK1 gene can regulate leaf dark respiratory fluxes, especially under high temperature.

scholarly journals Genome-wide association study and population structure analysis of seed-bound amino acids and total protein in watermelon

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12343
Author(s):  
Vijay Joshi ◽  
Padma Nimmakayala ◽  
Qiushuo Song ◽  
Venkata Abburi ◽  
Purushothaman Natarajan ◽  
...  
Keyword(s):  
Amino Acids ◽  
Association Study ◽  
Total Protein ◽  
Free Amino Acids ◽  
Free Amino ◽  
Natural Variation ◽  
Genome Wide Association Study ◽  
Value Added ◽  
Genome Wide Association ◽  
Genome Wide

Background Watermelon seeds are a powerhouse of value-added traits such as proteins, free amino acids, vitamins, and essential minerals, offering a paleo-friendly dietary option. Despite the availability of substantial genetic variation, there is no sufficient information on the natural variation in seed-bound amino acids or proteins across the watermelon germplasm. This study aimed to analyze the natural variation in watermelon seed amino acids and total protein and explore underpinning genetic loci by genome-wide association study (GWAS). Methods The study evaluated the distribution of seed-bound free amino acids and total protein in 211 watermelon accessions of Citrullus spp, including 154 of Citrullus lanatus, 54 of Citrullus mucosospermus (egusi) and three of Citrullus amarus. We used the GWAS approach to associate seed phenotypes with 11,456 single nucleotide polymorphisms (SNPs) generated by genotyping-by-sequencing (GBS). Results Our results demonstrate a significant natural variation in different free amino acids and total protein content across accessions and geographic regions. The accessions with high protein content and proportion of essential amino acids warrant its use for value-added benefits in the food and feed industries via biofortification. The GWAS analysis identified 188 SNPs coinciding with 167 candidate genes associated with watermelon seed-bound amino acids and total protein. Clustering of SNPs associated with individual amino acids found by principal component analysis was independent of the speciation or cultivar groups and was not selected during the domestication of sweet watermelon. The identified candidate genes were involved in metabolic pathways associated with amino acid metabolism, such as Argininosuccinate synthase, explaining 7% of the variation in arginine content, which validate their functional relevance and potential for marker-assisted analysis selection. This study provides a platform for exploring potential gene loci involved in seed-bound amino acids metabolism, useful in genetic analysis and development of watermelon varieties with superior seed nutritional values.

scholarly journals Genome-wide association study implicates CHRNA2 in cannabis use disorder

2017 ◽  
Author(s):  
Ditte Demontis ◽  
Veera Manikandan Rajagopal ◽  
Thomas D. Als ◽  
Jakob Grove ◽  
Jonatan Pallesen ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Significant Risk ◽  
The United States ◽  
Cannabis Use ◽  
Genome Wide Association ◽  
Cannabis Use Disorder ◽  
Genome Wide ◽  
Independent Population ◽  
A Genome

Introductory paragraphCannabis is the most frequently used illicit psychoactive substance worldwide1. Life time use has been reported among 35-40% of adults in Denmark2 and the United States3. Cannabis use is increasing in the population4–6 and among users around 9% become dependent7. The genetic risk component is high with heritability estimates of 518–70%9. Here we report the first genome-wide significant risk locus for cannabis use disorder (CUD, P=9.31×10−12) that replicates in an independent population (Preplication=3.27×10−3, Pmetaanalysis=9.09×10−12). The finding is based on a genome-wide association study (GWAS) of 2,387 cases and 48,985 controls followed by replication in 5,501 cases and 301,041 controls. The index SNP (rs56372821) is a strong eQTL for CHRNA2 and analyses of the genetic regulated gene expressions identified significant association of CHRNA2 expression in cerebellum with CUD. This indicates a potential therapeutic use in CUD of compounds with agonistic effect on the neuronal acetylcholine receptor alpha-2 subunit encoded by CHRNA2. At the polygenic level analyses revealed a significant decrease in the risk of CUD with increased load of variants associated with cognitive performance.

scholarly journals Genome-Wide Association Study of Spot Form of Net Blotch Resistance in the Upper Midwest Barley Breeding Programs

2017 ◽  
Vol 107 (1) ◽  
pp. 100-108 ◽  
Author(s):  
R. R. Burlakoti ◽  
S. Gyawali ◽  
S. Chao ◽  
K. P. Smith ◽  
R. D. Horsley ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
The United States ◽  
Genome Wide Association ◽  
Net Blotch ◽  
Upper Midwest ◽  
Breeding Programs ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Genome Wide

Pyrenophora teres f. maculata, the causal agent of spot form of net blotch (SFNB), is an emerging pathogen of barley in the United States and Australia. Compared with net form of net blotch (NFNB), less is known in the U.S. Upper Midwest barley breeding programs about host resistance and quantitative trait loci (QTL) associated with SFNB in breeding lines. The main objective of this study was to identify QTL associated with SFNB resistance in the Upper Midwest two-rowed and six-rowed barley breeding programs using a genome-wide association study approach. A total of 376 breeding lines of barley were evaluated for SFNB resistance at the seedling stage in the greenhouse in Fargo in 2009. The lines were genotyped with 3,072 single nucleotide polymorphism (SNP) markers. Phenotypic evaluation showed a wide range of variability among populations from the four breeding programs and the two barley-row types. The two-rowed barley lines were more susceptible to SFNB than the six-rowed lines. Continuous distributions of SFNB severity indicate the quantitative nature of SFNB resistance. The mixed linear model (MLM) analysis, which included both population structure and kinship matrices, was used to identify significant SNP-SFNB associations. Principal component analysis was used to control false marker-trait association. The linkage disequilibrium (LD) estimates varied among chromosomes (10 to 20 cM). The MLM analysis identified 10 potential QTL in barley: SFNB-2H-8-10, SFNB-2H-38.03, SFNB-3H-58.64, SFNB-3H-78.53, SFNB-3H-91.88, SFNB-3H-117.1, SFNB-5H-155.3, SFNB-6H-5.4, SFNB-6H-33.74, and SFNB-7H-34.82. Among them, four QTL (SFNB-2H-8-10, SFNB-2H-38.03 SFNB-3H-78.53, and SFNB-3H-117.1) have not previously been published. Identification of SFNB resistant lines and QTL associated with SFNB resistance in this study will be useful in the development of barley genotypes with better SFNB resistance.

scholarly journals Genome-wide association study of rice rooting ability at the seedling stage

2020 ◽  
Author(s):  
Xin Xu ◽  
Junhua Ye ◽  
Yingying Yang ◽  
Mengchen Zhang ◽  
Qun Xu ◽  
...  
Keyword(s):  
Association Study ◽  
Root Length ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Root Number ◽  
Expression Levels ◽  
Rooting Ability ◽  
Genome Wide ◽  
Population Structure Analysis

Abstract BackgroundRice rooting ability is a complex agronomical trait that displays heterosis and plays an important role in rice growth and production. Only a few quantitative trait loci (QTLs) have been identified by bi-parental population. More genes or QTLs are required to dissect the genetic architecture of rice rooting ability.ResultsTo characterize the genetic basis for rice rooting ability, we used a natural rice population, genotyped by a 90K single nucleotide polymorphism (SNP) array, to identify the loci associated with rooting-related traits through the genome-wide association study (GWAS). Population structure analysis divided the natural population into two subgroups: indica and japonica. We measured four traits for evaluating rice rooting ability, namely root growth ability (RGA), maximum root length (MRL), root length (RL), and root number (RN). Using the association study in three panels consisting of one for the full population, one for indica, and one for japonica, 24 SNPs associated with rooting ability-related traits were identified. Through comparison of the relative expression levels and DNA sequences between germplasm with extreme phenotypes, results showed that LOC_Os05g11810 had non-synonymous variations at the coding region, which may cause differences in root number, and that the expression levels of LOC_Os04g09900 and LOC_Os04g10060 are closely associated with root length variation.ConclusionsThrough evaluation of the rice rooting ability-related traits and the association mapping, we provided useful information for understanding the genetic basis of rice rooting ability and also identified some candidate genes and molecular markers for rice root breeding.

scholarly journals Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels

2021 ◽  
Author(s):  
Matheus Baseggio ◽  
Matthew Murray ◽  
Di Wu ◽  
Gregory Ziegler ◽  
Nicholas Kaczmar ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Sweet Corn ◽  
The United States ◽  
Zinc Homeostasis ◽  
Genome Wide Association ◽  
Association Panel ◽  
Elemental Profile ◽  
Genome Wide ◽  
Corn Kernels

Abstract Despite being one of the most consumed vegetables in the United States, the elemental profile of sweet corn (Zea mays L.) is limited in its dietary contributions. To address this through genetic improvement, a genome-wide association study was conducted for the concentrations of 15 elements in fresh kernels of a sweet corn association panel. In concordance with mapping results from mature maize kernels, we detected a probable pleiotropic association of zinc and iron concentrations with nicotianamine synthase5 (nas5), which purportedly encodes an enzyme involved in synthesis of the metal chelator nicotianamine. Additionally, a pervasive association signal was identified for cadmium concentration within a recombination suppressed region on chromosome 2. The likely causal gene underlying this signal was heavy metal ATPase3 (hma3), whose counterpart in rice, OsHMA3, mediates vacuolar sequestration of cadmium and zinc in roots, whereby regulating zinc homeostasis and cadmium accumulation in grains. In our association panel, hma3 associated with cadmium but not zinc accumulation in fresh kernels. This finding implies that selection for low cadmium will not affect zinc levels in fresh kernels. Although less resolved association signals were detected for boron, nickel, and calcium, all 15 elements were shown to have moderate predictive abilities via whole-genome prediction. Collectively, these results help enhance our genomics-assisted breeding efforts centered on improving the elemental profile of fresh sweet corn kernels.

scholarly journals Genetic Diversity and Genome-Wide Association Study of Seed Aspect Ratio Using a High-Density SNP Array in Peanut (Arachis hypogaea L.)

Genes ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 2
Author(s):  
Kunyan Zou ◽  
Ki-Seung Kim ◽  
Kipoong Kim ◽  
Dongwoo Kang ◽  
Yu-Hyeon Park ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Aspect Ratio ◽  
Association Study ◽  
Arachis Hypogaea ◽  
Genome Wide Association Study ◽  
Snp Array ◽  
The United States ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Arachis Hypogaea L

Peanut (Arachis hypogaea L.) is one of the important oil crops of the world. In this study, we aimed to evaluate the genetic diversity of 384 peanut germplasms including 100 Korean germplasms and 284 core collections from the United States Department of Agriculture (USDA) using an Axiom_Arachis array with 58K single-nucleotide polymorphisms (SNPs). We evaluated the evolutionary relationships among 384 peanut germplasms using a genome-wide association study (GWAS) of seed aspect ratio data processed by ImageJ software. In total, 14,030 filtered polymorphic SNPs were identified from the peanut 58K SNP array. We identified five SNPs with significant associations to seed aspect ratio on chromosomes Aradu.A09, Aradu.A10, Araip.B08, and Araip.B09. AX-177640219 on chromosome Araip.B08 was the most significantly associated marker in GAPIT and Regularization method. Phosphoenolpyruvate carboxylase (PEPC) was found among the eleven genes within a linkage disequilibrium (LD) of the significant SNPs on Araip.B08 and could have a strong causal effect in determining seed aspect ratio. The results of the present study provide information and methods that are useful for further genetic and genomic studies as well as molecular breeding programs in peanuts.

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