scholarly journals Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) allows Novel Temporal Phenotypes

2020 ◽  
Author(s):  
Alper Adak ◽  
Seth C. Murray ◽  
Clarissa Conrad ◽  
Yuanyuan Chen ◽  
Steven Anderson ◽  
...  
Keyword(s):  
Plant Height ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Phenotypic Variability ◽  
Nucleotide Polymorphisms ◽  
Heritable Variation ◽  
Functional Polymorphisms ◽  
Tropical Germplasm ◽  
Hybrid Diversity ◽  
Aerial Systems

AbstractPlant height (PHT) in maize (Zea mays L.) has been scrutinized genetically and phenotypically due to relationship with other agronomically valuable traits (e.g. yield). Heritable variation of PHT is determined by many discovered quantitative trait loci (QTLs); however, phenotypic effects of such loci often lack validation across environments and genetic backgrounds, especially in the hybrid state grown by farmers rather than the inbred state preferred by geneticists. A previous genome wide association study using a hybrid diversity panel identified two novel quantitative trait variants (QTVs) controlling both PHT and grain yield. Here, heterogeneous inbred families demonstrated that these two loci, characterized by two single nucleotide polymorphisms (SNPs), cause phenotypic variation in inbred lines, but that size of these effects were variable across four different genetic backgrounds, ranging from 1 to 10 cm. Weekly unoccupied aerial system flights demonstrated both SNPs had larger effects, varying from 10 to 25 cm, in early growth while SNPs effects decreased towards the end of the season. These results show that allelic effect sizes of economically valuable loci are both dynamic in temporal growth and dynamic across genetic backgrounds resulting in informative phenotypic variability overlooked following traditional phenotyping methods. Public genotyping data shows recent favorably selection in elite temperate germplasm with little change across tropical backgrounds. As these loci remain rare in tropical germplasm, with effects most visible early in growth, they are useful for breeding and selection to expand the genetic basis of maize.

scholarly journals Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) Discovers Novel Temporal Phenotypes

2021 ◽  
Author(s):  
Alper Adak ◽  
Clarissa Conrad ◽  
Yuanyuan Chen ◽  
Scott C Wilde ◽  
Seth C Murray ◽  
...  
Keyword(s):  
Plant Height ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Phenotypic Variability ◽  
Nucleotide Polymorphisms ◽  
Heritable Variation ◽  
Functional Polymorphisms ◽  
Tropical Germplasm ◽  
Hybrid Diversity ◽  
Aerial Systems

Abstract Plant height (PHT) in maize (Zea mays L.) has been scrutinized genetically and phenotypically due to relationship with other agronomically valuable traits (e.g. yield). Heritable variation of PHT is determined by many discovered quantitative trait loci (QTLs); however, phenotypic effects of such loci often lack validation across environments and genetic backgrounds, especially in the hybrid state grown by farmers rather than the inbred state more often used by geneticists. A previous genome wide association study using a topcrossed hybrid diversity panel identified two novel quantitative trait variants (QTVs) controlling both PHT and grain yield. Here, heterogeneous inbred families demonstrated that these two loci, characterized by two single nucleotide polymorphisms (SNPs), cause phenotypic variation in inbred lines, but that size of these effects were variable across four different genetic backgrounds, ranging from 1 to 10 cm. Weekly unoccupied aerial system flights demonstrated the two SNPs had larger effects, varying from 10 to 25 cm, in early growth while effects decreased towards the end of the season. These results show that allelic effect sizes of economically valuable loci are both dynamic in temporal growth and dynamic across genetic backgrounds, resulting in informative phenotypic variability overlooked following traditional phenotyping methods. Public genotyping data shows recent favorable allele selection in elite temperate germplasm with little change across tropical backgrounds. As these loci remain rarer in tropical germplasm, with effects most visible early in growth, they are useful for breeding and selection to expand the genetic basis of maize.

scholarly journals GWAS Mediated Elucidation of Heterosis for Metric Traits in Cotton (Gossypium hirsutum L.) Across Multiple Environments

2021 ◽  
Vol 12 ◽  
Author(s):  
Zareen Sarfraz ◽  
Muhammad Shahid Iqbal ◽  
Xiaoli Geng ◽  
Muhammad Sajid Iqbal ◽  
Mian Faisal Nazir ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Fiber Quality ◽  
Hybrid Vigor ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
A Genome ◽  
Improvement Programs ◽  
Multiple Environments

For about a century, plant breeding has widely exploited the heterosis phenomenon–often considered as hybrid vigor–to increase agricultural productivity. The ensuing F1 hybrids can substantially outperform their progenitors due to heterozygous combinations that mitigate deleterious mutations occurring in each genome. However, only fragmented knowledge is available concerning the underlying genes and processes that foster heterosis. Although cotton is among the highly valued crops, its improvement programs that involve the exploitation of heterosis are still limited in terms of significant accomplishments to make it broadly applicable in different agro-ecological zones. Here, F1 hybrids were derived from mating a diverse Upland Cotton germplasm with commercially valuable cultivars in the Line × Tester fashion and evaluated across multiple environments for 10 measurable traits. These traits were dissected into five different heterosis types and specific combining ability (SCA). Subsequent genome-wide predictions along-with association analyses uncovered a set of 298 highly significant key single nucleotide polymorphisms (SNPs)/Quantitative Trait Nucleotides (QTNs) and 271 heterotic Quantitative Trait Nucleotides (hQTNs) related to agronomic and fiber quality traits. The integration of a genome wide association study with RNA-sequence analysis yielded 275 candidate genes in the vicinity of key SNPs/QTNs. Fiber micronaire (MIC) and lint percentage (LP) had the maximum number of associated genes, i.e., each with 45 related to QTNs/hQTNs. A total of 54 putative candidate genes were identified in association with HETEROSIS of quoted traits. The novel players in the heterosis mechanism highlighted in this study may prove to be scientifically and biologically important for cotton biologists, and for those breeders engaged in cotton fiber and yield improvement programs.

scholarly journals IDENTIFICACIÓN DE QTLs ASOCIADOS A CARACTERES DE ARQUITECTURA VEGETAL EN YUCA (Manihot esculenta)

2015 ◽  
Vol 21 (1) ◽  
Author(s):  
Camilo López ◽  
Ruben Eduardo Mora Moreno ◽  
Johana Carolina Soto
Keyword(s):  
Quantitative Trait Loci ◽  
Leaf Area ◽  
Plant Height ◽  
Quantitative Trait ◽  
Manihot Esculenta ◽  
Root Weight ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Trait Loci ◽  
Number Of Shoots

<p class="p1"><strong>RESUMEN</strong></p><p class="p2">La yuca (<em>Manihot esculenta</em>) es el cuarto cultivo en importancia a nivel mundial como fuente de calorías para la población humana después del arroz, el azúcar y el maíz, posicionándose por esta razón como un cultivo primordial para la seguridad alimentaria. Su arquitectura ha sido considerada como un factor clave que subyace a la fisiología del rendimiento, relacionando características morfológicas con productividad. En este trabajo se evaluaron diferentes características de arquitectura vegetal en yuca. Los caracteres fueron evaluados en una población F1 compuesta por 133 hermanos completos (familia K) sembrados en dos lugares biogeográficamente diferentes: La Vega (Cundinamarca) y Arauca (Arauca) en Colombia. Las características evaluadas relacionadas con la arquitectura vegetal fueron altura de la planta (AT), número de brotes (NB), longitud entrenudos (LE), número de raíces (NR), peso de raíces (PR), pigmentación del peciolo (PP), área de la hoja (AH) y tipo de hoja (TH). A partir de los datos obtenidos y empleando un mapa genético de alta densidad basado en SNPs (Single Nucleotide Polymorphisms) se llevó a cabo un análisis de QTLs (Quantitative Trait Loci). Se lograron identificar tres QTLs para La Vega asociados con los caracteres altura total, número de brotes y área de la hoja. Para Arauca se detectaron tres QTLs asociados con altura total, longitud de entrenudos y número de brotes. Los QTLs se distribuyeron en cuatro grupos de ligamiento y explicaron entre 18,93 y 41,92 % de la variación genética.</p><p class="p1"><strong>ABSTRACT</strong></p><p class="p2">Cassava (<em>Manihot esculenta</em>) is the fourth most important crop worldwide as a source of calories for the human population after rice, sugar and corn and therefore it is considered as a staple crop. Cassava’s architecture has been considered as a key factor underlying the physiology of yield, relating morphological traits with productivity. In this work different characteristics of plant architecture were evaluated in a cassava F1 population composed by 133 complete siblings (family K) planted in two biogeographically different zones: La Vega (Cundinamarca) and Arauca (Arauca) in Colombia. The characteristics evaluated related to the vegetal architecture were plant height (AT), number of shoots (NB), internodes length (LE), number of roots (NR), root weight (PR), petiole pigmentation (PP), leaf area (AH) and leaf type (TH). From the data obtained and using a SNP- (Single Nucleotide Polymorphism) high-density genetic map a QTLs analysis (Quantitative Trait Loci) was carried out. It was possible to identify three QTLs for La Vega associated with characters plant height, internodes length and leaf area. From the Arauca’s dataset, three QTLs were detected associated with plant height, number of shoots and internodes length. The QTLs were distributed into four linkage groups and explained between 18.93 and 41.92 % of genetic variation.</p><p class="p2"> </p>

scholarly journals Common Expression Quantitative Trait Loci Shared by Histone Genes

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Hanseol Kim ◽  
Yujin Suh ◽  
Chaeyoung Lee
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Histone Genes ◽  
Expression Quantitative Trait Loci ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
A Genome ◽  
Trait Loci ◽  
Cycle Dependent

A genome-wide association study (GWAS) was conducted to examine expression quantitative trait loci (eQTLs) for histone genes. We examined common eQTLs for multiple histone genes in 373 European lymphoblastoid cell lines (LCLs). A linear regression model was employed to identify single-nucleotide polymorphisms (SNPs) associated with expression of the histone genes, and the number of eQTLs was determined by linkage disequilibrium analysis. Additional associations of the identified eQTLs with other genes were also examined. We identified 31 eQTLs for 29 histone genes through genome-wide analysis using 29 histone genes (P<2.97×10−10). Among them, 12 eQTLs were associated with the expression of multiple histone genes. Transcriptome-wide association analysis using the identified eQTLs showed their associations with additional 80 genes (P<4.75×10−6). In particular, expression of RPPH1, SCARNA2, and SCARNA7 genes was associated with 26, 25, and 23 eQTLs, respectively. This study suggests that histone genes shared 12 common eQTLs that might regulate cell cycle-dependent transcription of histone and other genes. Further investigations are needed to elucidate the transcriptional mechanisms of these genes.

scholarly journals Genome wide association study of plant height and tiller number in hulless barley

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260723
Author(s):  
Yixiong Bai ◽  
Xiaohong Zhao ◽  
Xiaohua Yao ◽  
Youhua Yao ◽  
Likun An ◽  
...  
Keyword(s):  
Association Study ◽  
Plant Height ◽  
Molecular Mechanisms ◽  
Genome Wide Association Study ◽  
Tiller Number ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Hulless Barley ◽  
Genome Wide ◽  
A Genome

Hulless barley (Hordeum vulgare L. var. nudum), also called naked barley, is a unique variety of cultivated barley. The genome-wide specific length amplified fragment sequencing (SLAF-seq) method is a rapid deep sequencing technology that is used for the selection and identification of genetic loci or markers. In this study, we collected 300 hulless barley accessions and used the SLAF-seq method to identify candidate genes involved in plant height (PH) and tiller number (TN). We obtained a total of 1407 M paired-end reads, and 228,227 SLAF tags were developed. After filtering using an integrity threshold of >0.8 and a minor allele frequency of >0.05, 14,504,892 single-nucleotide polymorphisms (SNP) loci were screened out. The remaining SNPs were used for the construction of a neighbour-joining phylogenetic tree, and the three subcluster members showed no obvious differentiation among regional varieties. We used a genome wide association study approach to identify 1006 and 113 SNPs associated with TN and PH, respectively. Based on best linear unbiased predictors (BLUP), 41 and 29 SNPs associated with TN and PH, respectively. Thus, several of genes, including Hd3a and CKX5, may be useful candidates for the future genetic breeding of hulless barley. Taken together, our results provide insight into the molecular mechanisms controlling barley architecture, which is important for breeding and yield.

scholarly journals Genome-Wide Association Analysis of Plant Height Using the Maize F1 Population

Plants ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 432 ◽  
Author(s):  
Zhang ◽  
Wan ◽  
He ◽  
Lan ◽  
Li
Keyword(s):  
Candidate Genes ◽  
Plant Height ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Plant Density ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Higher Plant ◽  
Genome Wide ◽  
A Genome

Drastic changes in plant height (PH) are observed when maize adapt to a higher plant density. Most importantly, PH is an important factor affecting maize yield. Although the genetic basis of PH has been extensively studied using different populations during the past decades, genetic basis remains unclear in the F1 population, which was a widely used population in production. In this study, a genome-wide association study (GWAS) was conducted using an F1 population consisting of 300 maize hybrids with 17,652 single nucleotide polymorphisms (SNPs) makers to identify candidate genes for controlling PH. A total of nine significant SNPs makers and two candidate genes were identified for PH. The candidate genes, Zm00001d018617 and Zm00001d023659, were the genes most probable to be involved in the development of PH. Our results provide new insights into the genetic basis of PH in maize.

scholarly journals GmBRC1 is a Candidate Gene for Branching in Soybean (Glycine max (L.) Merrill)

2019 ◽  
Vol 20 (1) ◽  
pp. 135 ◽  
Author(s):  
Sangrea Shim ◽  
Jungmin Ha ◽  
Moon Young Kim ◽  
Man Soo Choi ◽  
Sung-Taeg Kang ◽  
...  
Keyword(s):  
Glycine Max ◽  
Candidate Gene ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Nucleotide Polymorphisms ◽  
Branch Number ◽  
Factors Affecting ◽  
A Genome ◽  
Glycine Max L ◽  
Trait Locus

Branch number is one of the main factors affecting the yield of soybean (Glycine max (L.)). In this study, we conducted a genome-wide association study combined with linkage analysis for the identification of a candidate gene controlling soybean branching. Five quantitative trait nucleotides (QTNs) were associated with branch numbers in a soybean core collection. Among these QTNs, a linkage disequilibrium (LD) block qtnBR6-1 spanning 20 genes was found to overlap a previously identified major quantitative trait locus qBR6-1. To validate and narrow down qtnBR6-1, we developed a set of near-isogenic lines (NILs) harboring high-branching (HB) and low-branching (LB) alleles of qBR6-1, with 99.96% isogenicity and different branch numbers. A cluster of single nucleotide polymorphisms (SNPs) segregating between NIL-HB and NIL-LB was located within the qtnBR6-1 LD block. Among the five genes showing differential expression between NIL-HB and NIL-LB, BRANCHED1 (BRC1; Glyma.06G210600) was down-regulated in the shoot apex of NIL-HB, and one missense mutation and two SNPs upstream of BRC1 were associated with branch numbers in 59 additional soybean accessions. BRC1 encodes TEOSINTE-BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTORS 1 and 2 transcription factor and functions as a regulatory repressor of branching. On the basis of these results, we propose BRC1 as a candidate gene for branching in soybean.

scholarly journals Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean

2020 ◽  
Vol 11 ◽  
Author(s):  
Waldiodio Seck ◽  
Davoud Torkamaneh ◽  
François Belzile
Keyword(s):  
Root System ◽  
System Architecture ◽  
Phenotypic Variation ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Primary Root ◽  
Root System Architecture ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Genome Wide

Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P &lt; 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties.

EXPRESS: Effect of genetic liability to visceral adiposity on stroke and its subtypes: a Mendelian randomization study

2021 ◽  
pp. 174749302110062
Author(s):  
Bin Yan ◽  
Jian Yang ◽  
Li Qian ◽  
Fengjie Gao ◽  
Ling Bai ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Ischemic Stroke ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Visceral Adiposity ◽  
Large Artery ◽  
Nucleotide Polymorphisms ◽  
Genetic Liability ◽  
A Genome ◽  
Increased Risk

Background: Observational studies have found an association between visceral adiposity and stroke. Aims: The purpose of this study was to investigate the role and genetic effect of visceral adipose tissue (VAT) accumulation on stroke and its subtypes. Methods: In this two-sample Mendelian randomization (MR) study, genetic variants (221 single nucleotide polymorphisms; P<5×10-8) using as instrumental variables for MR analysis was obtained from a genome-wide association study (GWAS) of VAT. The outcome datasets for stroke and its subtypes were obtained from the MEGASTROKE consortium (up to 67,162 cases and 453,702 controls). MR standard analysis (inverse variance weighted method) was conducted to investigate the effect of genetic liability to visceral adiposity on stroke and its subtypes. Sensitivity analysis (MR-Egger, weighted median, MR-PRESSO) were also utilized to assess horizontal pleiotropy and remove outliers. Multi-variable MR analysis was employed to adjust potential confounders. Results: In the standard MR analysis, genetically determined visceral adiposity (per 1 SD) was significantly associated with a higher risk of stroke (odds ratio [OR] 1.30; 95% confidence interval [CI] 1.21-1.41, P=1.48×10-11), ischemic stroke (OR 1.30; 95% CI 1.20-1.41, P=4.01×10-10), and large artery stroke (OR 1.49; 95% CI 1.22-1.83, P=1.16×10-4). The significant association was also found in sensitivity analysis and multi-variable MR analysis. Conclusions: Genetic liability to visceral adiposity was significantly associated with an increased risk of stroke, ischemic stroke, and large artery stroke. The effect of genetic susceptibility to visceral adiposity on the stroke warrants further investigation.

Sign in / Sign up

Export Citation Format

Share Document