scholarly journals Combination of favorable gene haplotypes plays an important role in rice hybrid grain quality traits based on genome-wide association analysis

2020 ◽  
Author(s):  
Lanzhi Li ◽  
Xingfei Zheng ◽  
Xueli Zhang ◽  
Kai Xu ◽  
Shufeng Song ◽  
...  
Keyword(s):  
Grain Quality ◽  
Genome Wide Association Study ◽  
Amylose Content ◽  
Genome Wide Association ◽  
High Yield ◽  
Quality Trait ◽  
Rice Grain ◽  
Quality Traits ◽  
Genome Wide ◽  
A Genome

SummaryYield level and grain quality determine the commercial potential of rice (Oryza sativa L.) varieties. Mining and using genes that control important rice grain quality characteristics are major tasks for plant breeders. Here, a genome-wide association study was conducted to determine the genetic bases of 12 rice grain quality traits in 113 varieties and 565 testcross hybrids. A total of 56 significant SNPs were associated with 9 of the traits in variety phenotypic, general combining ability, testcross hybrid phenotypic and mid-parental heterotic datasets, from which 45 novel loci were identified. The cumulative effects of superior alleles or favorable haplotypes of genes closest to significant quality trait-associated loci were found in the four datasets. Additionally, the favorable gene haplotypes performed better than those of superior alleles in the variety and testcross hybrid datasets. Pyramiding the favorable haplotypes of five cloned rice grain quality genes resulted in a very low amylose content and high yield in the latter. These testcross hybrids had rice grain qualities similar to their parental lines but with much higher yields. The amylose content, grain width and grain length predictions for potential hybrids among the 113 varieties using genomic selection based on the BayesB method revealed a performance trend similar to those the testcross hybrids in our study. Thus, the selection of combination of favorable rice quality-related gene haplotypes is recommended to breed hybrids with high yields and elite grain qualities.

scholarly journals The identification of 14 new genes for meat quality traits in chicken using a genome-wide association study

BMC Genomics ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 458 ◽  
Author(s):  
Yanfa Sun ◽  
Guiping Zhao ◽  
Ranran Liu ◽  
Maiqing Zheng ◽  
Yaodong Hu ◽  
...  
Keyword(s):  
Association Study ◽  
Meat Quality ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
New Genes ◽  
Genome Wide ◽  
A Genome

scholarly journals Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yanan Niu ◽  
Tianxiao Chen ◽  
Chunchao Wang ◽  
Kai Chen ◽  
Congcong Shen ◽  
...  
Keyword(s):  
Grain Yield ◽  
Association Study ◽  
Candidate Genes ◽  
Grain Quality ◽  
Genome Wide Association Study ◽  
Grain Shape ◽  
Grain Weight ◽  
Genome Wide Association ◽  
Rice Grain ◽  
Genome Wide

Abstract Background Grain weight and grain shape are important agronomic traits that affect the grain yield potential and grain quality of rice. Both grain weight and grain shape are controlled by multiple genes. The 3,000 Rice Genomes Project (3 K RGP) greatly facilitates the discovery of agriculturally important genetic variants and germplasm resources for grain weight and grain shape. Results Abundant natural variations and distinct phenotic differentiation among the subgroups in grain weight and grain shape were observed in a large population of 2,453 accessions from the 3 K RGP. A total of 21 stable quantitative trait nucleotides (QTNs) for the four traits were consistently identified in at least two of 3-year trials by genome-wide association study (GWAS), including six new QTNs (qTGW3.1, qTGW9, qTGW11, qGL4/qRLW4, qGL10, and qRLW1) for grain weight and grain shape. We further predicted seven candidate genes (Os03g0186600, Os09g0544400, Os11g0163600, Os04g0580700, Os10g0399700, Os10g0400100 and Os01g0171000) for the six new QTNs by high-density association and gene-based haplotype analyses. The favorable haplotypes of the seven candidate genes and five previously cloned genes in elite accessions with high TGW and RLW are also provided. Conclusions Our results deepen the understanding of the genetic basis of grain weight and grain shape in rice and provide valuable information for improving rice grain yield and grain quality through molecular breeding.

scholarly journals Genetic Diversity Relationship Between Grain Quality and Appearance in Rice

2021 ◽  
Vol 12 ◽  
Author(s):  
Hua Zhong ◽  
Shuai Liu ◽  
Gangqing Zhao ◽  
Chenhao Zhang ◽  
Zhaohua Peng ◽  
...  
Keyword(s):  
Linkage Disequilibrium ◽  
Grain Quality ◽  
Genome Wide Association Study ◽  
Amylose Content ◽  
Mixed Linear Model ◽  
Grain Protein Content ◽  
Width Ratio ◽  
Rice Grain ◽  
A Genome ◽  
Trait Locus

Grain quality is an important breeding objective in rice, and the appearance of the grain also affects its commercial value in the market. The aim of this study was to decode the rice grain qualities and appearances, such as gelatinization temperature (GT), amylose content (AC), grain protein content (GPC), pericarp color (PC), length/width ratio (LWR), and grain volume (GV) at phenotypic and genetic levels, as well as the relationships among them. A genome-wide association study (GWAS) was used to identify the quantitative trait locus (QTLs) associated with the target traits using mixed linear model (MLM) and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK) methods. In general, AC was negatively correlated with GPC and GV, while it was positively correlated with LWR and PC. GPC was positively correlated with LWR. Using the rice diversity panel 1 (RDP1) population, we identified 11, 6, 2, 7, 11, and 6 QTLs associated with GT, AC, GPC, PC, LWR, and GV, respectively. Five germplasm lines, superior in grain qualities and appearances for basic breeding materials or improvement, were identified. Notably, an F-box gene OsFbox394 was located in the linkage disequilibrium (LD) block of qLWR7-2, which specifically expresses in endosperm and seed tissues, suggesting that this gene may regulate the seed development in rice grain. Besides, different haplotypes of OsHyPRP45 showed significant differences in AC, indicating that this gene may be related to AC in rice grain.

scholarly journals Genome-wide association mapping for agronomic and quality traits in foxtail millet

2019 ◽  
Author(s):  
Yanhong Lou ◽  
Yun Chen ◽  
Zhihao Liu ◽  
Mingjie Sun ◽  
Fei Han ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Foxtail Millet ◽  
Significant Snps ◽  
Genomic Variation ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Nucleotide Polymorphisms ◽  
High Quality ◽  
Genome Wide ◽  
A Genome

Abstract Background: Foxtail millet [Setaria italica (L.) P. Beauv.] is a particularly important cereal and fodder crop in arid and semi-arid regions. The genomic variation and alleles underpinning agronomic and quality traits are important for foxtail millet improvement. To better understand the diversity of foxtail millet and facilitate the genetic dissection of its agronomic and quality traits, we used high-quality single nucleotide polymorphisms (SNPs) to perform a genome-wide association study (GWAS). Results: Using genotyping-by-sequencing, 107 foxtail millet accessions were sequenced, and further analysis revealed 72,181 high-quality SNPs, of which 53 were significantly associated with 15 agronomic and quality traits. These SNPs were distributed across the nine chromosomes of foxtail millet; 44 were located in intergenic regions, whereas one and eight SNPs were located in exon and intron regions, respectively. The GWAS revealed that 28 SNPs were associated with a single trait. Conclusions: For some of the significant SNPs, favourable genotypes showed pyramiding effects for several traits. The 53 loci identified in this study will therefore be useful for breeding programs aimed at foxtail millet improvement.

scholarly journals Genome-Wide Association Study of Meat Quality Traits in a Three-Way Crossbred Commercial Pig Population

2021 ◽  
Vol 12 ◽  
Author(s):  
Guangxiong Gao ◽  
Ning Gao ◽  
Sicheng Li ◽  
Weijian Kuang ◽  
Lin Zhu ◽  
...  
Keyword(s):  
Association Study ◽  
Meat Quality ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Meat Color ◽  
Marbling Score ◽  
Meat Quality Traits ◽  
Genome Wide ◽  
A Genome

Meat quality is an important trait for pig-breeding programs aiming to meet consumers’ demands. Geneticists must improve meat quality based on their understanding of the underlying genetic mechanisms. Previous studies showed that most meat-quality indicators were low-to-moderate heritability traits; therefore, improving meat quality using conventional techniques remains a challenge. Here, we performed a genome-wide association study of meat-quality traits using the GeneSeek Porcine SNP50K BeadChip in 582 crossbred Duroc × (Landrace × Yorkshire) commercial pigs (249 males and 333 females). Meat conductivity, marbling score, moisture, meat color, pH, and intramuscular fat (IMF) content were investigated. The genome-wide association study was performed using both fixed and random model Circulating Probability Unification (FarmCPU) and a mixed linear model (MLM) with the rMVP software. The genomic heritability of the studied traits ranged from 0.13 ± 0.07 to 0.55 ± 0.08 for conductivity and meat color, respectively. Thirty-two single-nucleotide polymorphisms (SNPs) were identified for meat quality in the crossbred pigs using both FarmCPU and MLM. Among the detected SNPs, five, nine, seven, four, six, and five were significantly associated with conductivity, IMF, marbling score, meat color, moisture, and pH, respectively. Several candidate genes for meat quality were identified in the detected genomic regions. These findings will contribute to the ongoing improvement of meat quality, meeting consumer demands and improving the economic outlook for the swine industry.

scholarly journals A Genome-Wide Association Study Pinpoints Quantitative Trait Genes for Plant Height, Heading Date, Grain Quality, and Yield in Rye (Secale cereale L.)

2021 ◽  
Vol 12 ◽  
Author(s):  
Dörthe Siekmann ◽  
Gisela Jansen ◽  
Anne Zaar ◽  
Andrzej Kilian ◽  
Franz Joachim Fromme ◽  
...  
Keyword(s):  
Plant Height ◽  
Grain Quality ◽  
Genome Wide Association Study ◽  
Reference Genome ◽  
Protein Gene ◽  
Heading Date ◽  
Genome Wide Association ◽  
Hybrid Breeding ◽  
Quality Traits ◽  
Genome Wide

Rye is the only cross-pollinating Triticeae crop species. Knowledge of rye genes controlling complex-inherited traits is scarce, which, currently, largely disables the genomics assisted introgression of untapped genetic variation from self-incompatible germplasm collections in elite inbred lines for hybrid breeding. We report on the first genome-wide association study (GWAS) in rye based on the phenotypic evaluation of 526 experimental hybrids for plant height, heading date, grain quality, and yield in 2 years and up to 19 environments. We established a cross-validated NIRS calibration model as a fast, effective, and robust analytical method to determine grain quality parameters. We observed phenotypic plasticity in plant height and tiller number as a resource use strategy of rye under drought and identified increased grain arabinoxylan content as a striking phenotype in osmotically stressed rye. We used DArTseq™ as a genotyping-by-sequencing technology to reduce the complexity of the rye genome. We established a novel high-density genetic linkage map that describes the position of almost 19k markers and that allowed us to estimate a low genome-wide LD based on the assessed genetic diversity in elite germplasm. We analyzed the relationship between plant height, heading date, agronomic, as well as grain quality traits, and genotype based on 20k novel single-nucleotide polymorphism markers. In addition, we integrated the DArTseq™ markers in the recently established ‘Lo7' reference genome assembly. We identified cross-validated SNPs in ‘Lo7' protein-coding genes associated with all traits studied. These include associations of the WUSCHEL-related homeobox transcription factor DWT1 and grain yield, the DELLA protein gene SLR1 and heading date, the Ethylene overproducer 1-like protein gene ETOL1 and thousand-grain weight, protein and starch content, as well as the Lectin receptor kinase SIT2 and plant height. A Leucine-rich repeat receptor protein kinase and a Xyloglucan alpha-1,6-xylosyltransferase count among the cross-validated genes associated with water-extractable arabinoxylan content. This study demonstrates the power of GWAS, hybrid breeding, and the reference genome sequence in rye genetics research to dissect and identify the function of genes shaping genetic diversity in agronomic and grain quality traits of rye. The described links between genetic causes and phenotypic variation will accelerate genomics-enabled rye improvement.

scholarly journals Identification of Gene Associated with Sweetness in Corn (Zea mays L.) by Genome-Wide Association Study (GWAS) and Development of a Functional SNP Marker for Predicting Sweet Corn

Plants ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1239
Author(s):  
Vinitchan Ruanjaichon ◽  
Kanogporn Khammona ◽  
Burin Thunnom ◽  
Khundej Suriharn ◽  
Chalong Kerdsri ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Sweet Corn ◽  
Recombinant Inbred Lines ◽  
Snp Array ◽  
Genome Wide Association ◽  
Eating Quality ◽  
Quality Trait ◽  
Genome Wide ◽  
A Genome

Sweetness is an economically important eating quality trait for sweet-corn breeding. To investigate the genetic control of the sweetness trait, we conducted a genome-wide association study (GWAS) in an association panel consisting of 250 sweet corn and waxy corn inbred and recombinant inbred lines (RILs), together with the genotypes obtained from the high-density 600K maize genotyping single-nucleotide polymorphism (SNP) array. GWAS results identified 12 significantly associated SNPs on chromosomes 3, 4, 5, and 7. The most associated SNP, AX_91849634, was found on chromosome 3 with a highly significant p-value of ≤1.53 × 10−14. The candidate gene identified within the linkage disequilibrium (LD) of this marker was shrunken2 (Zm00001d044129; sh2), which encodes ADP-glucose pyrophosphorylase (AGPase), a 60 kDa subunit enzyme that affects starch metabolism in the maize endosperm. Several SNP markers specific to variants in sh2 were developed and validated. According to the validation in a set of 81 inbred, RIL, and popular corn varieties, marker Sh2_rs844805326, which was developed on the basis of the SNP at the position 154 of exon 1, was highly efficient in classifying sh2-based sweet corn from other types of corn. This functional marker is extremely useful for marker-assisted breeding in sh2-sweet corn improvement and marketable seed production.

scholarly journals A Genome-Wide Association Study Identifying Genetic Variants Associated with Growth, Carcass and Meat Quality Traits in Rabbits

Animals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 1068
Author(s):  
Xue Yang ◽  
Feilong Deng ◽  
Zhoulin Wu ◽  
Shi-Yi Chen ◽  
Yu Shi ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Meat Quality ◽  
Genome Wide Association Study ◽  
Carcass Traits ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Genome Wide ◽  
A Genome

Growth, carcass characteristics and meat quality are the most important traits used in the rabbit industry. Identification of the candidate markers and genes significantly associated with these traits will be beneficial in rabbit breeding. In this study, we enrolled 465 rabbits, including 16 male Californian rabbits and 17 female Kangda5 line rabbits as the parental generation, along with their offspring (232 male and 200 female), in a genome-wide association study (GWAS) based on SLAF-seq technology. Bodyweight at 35, 42, 49, 56, 63 and 70 d was recorded for growth traits; and slaughter liveweight (84 d) and dressing out percentage were measured as carcass traits; and cooking loss and drip loss were measured as meat quality traits. A total of 5,223,720 SLAF markers were obtained by digesting the rabbit genome using RsaI + EcoRV-HF® restriction enzymes. After quality control, a subset of 317,503 annotated single-nucleotide polymorphisms (SNPs) was retained for subsequent analysis. A total of 28, 81 and 10 SNPs for growth, carcass and meat quality traits, respectively, were identified based on genome-wide significance (p < 3.16 × 10−7). Additionally, 16, 71 and 9 candidate genes were identified within 100 kb upstream or downstream of these SNPs. Further analysis is required to determine the biological roles of these candidate genes in determining rabbit growth, carcass traits and meat quality.

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