scholarly journals Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Jicai Jiang ◽  
John B. Cole ◽  
Ellen Freebern ◽  
Yang Da ◽  
Paul M. VanRaden ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Fine Mapping ◽  
Functional Annotation ◽  
Agronomic Traits ◽  
Holstein Bulls

scholarly journals Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jose Miguel Soriano ◽  
Pasqualina Colasuonno ◽  
Ilaria Marcotuli ◽  
Agata Gadaleta
Keyword(s):  
Molecular Markers ◽  
Abiotic Stress ◽  
Durum Wheat ◽  
Candidate Genes ◽  
Biotic Stress ◽  
Qtl Analysis ◽  
Complex Traits ◽  
Genetic Basis ◽  
Agronomic Traits ◽  
Plant Performance

AbstractThe genetic improvement of durum wheat and enhancement of plant performance often depend on the identification of stable quantitative trait loci (QTL) and closely linked molecular markers. This is essential for better understanding the genetic basis of important agronomic traits and identifying an effective method for improving selection efficiency in breeding programmes. Meta-QTL analysis is a useful approach for dissecting the genetic basis of complex traits, providing broader allelic coverage and higher mapping resolution for the identification of putative molecular markers to be used in marker-assisted selection. In the present study, extensive QTL meta-analysis was conducted on 45 traits of durum wheat, including quality and biotic and abiotic stress-related traits. A total of 368 QTL distributed on all 14 chromosomes of genomes A and B were projected: 171 corresponded to quality-related traits, 127 to abiotic stress and 71 to biotic stress, of which 318 were grouped in 85 meta-QTL (MQTL), 24 remained as single QTL and 26 were not assigned to any MQTL. The number of MQTL per chromosome ranged from 4 in chromosomes 1A and 6A to 9 in chromosome 7B; chromosomes 3A and 7A showed the highest number of individual QTL (4), and chromosome 7B the highest number of undefined QTL (4). The recently published genome sequence of durum wheat was used to search for candidate genes within the MQTL peaks. This work will facilitate cloning and pyramiding of QTL to develop new cultivars with specific quantitative traits and speed up breeding programs.

scholarly journals Recent advances in CRISPR/Cas9 and applications for wheat functional genomics and breeding

aBIOTECH ◽  
2021 ◽  
Author(s):  
Jun Li ◽  
Yan Li ◽  
Ligeng Ma
Keyword(s):  
Functional Genomics ◽  
Genome Editing ◽  
Functional Annotation ◽  
Genome Engineering ◽  
Agronomic Traits ◽  
Wheat Breeding ◽  
Breeding Programs ◽  
Base Editing ◽  
The World ◽  
World Food Security

AbstractCommon wheat (Triticum aestivum L.) is one of the three major food crops in the world; thus, wheat breeding programs are important for world food security. Characterizing the genes that control important agronomic traits and finding new ways to alter them are necessary to improve wheat breeding. Functional genomics and breeding in polyploid wheat has been greatly accelerated by the advent of several powerful tools, especially CRISPR/Cas9 genome editing technology, which allows multiplex genome engineering. Here, we describe the development of CRISPR/Cas9, which has revolutionized the field of genome editing. In addition, we emphasize technological breakthroughs (e.g., base editing and prime editing) based on CRISPR/Cas9. We also summarize recent applications and advances in the functional annotation and breeding of wheat, and we introduce the production of CRISPR-edited DNA-free wheat. Combined with other achievements, CRISPR and CRISPR-based genome editing will speed progress in wheat biology and promote sustainable agriculture.

scholarly journals Identification of SNPs Associated with Somatic Cell Score in Candidate Genes in Italian Holstein Friesian Bulls

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 366
Author(s):  
Riccardo Moretti ◽  
Dominga Soglia ◽  
Stefania Chessa ◽  
Stefano Sartore ◽  
Raffaella Finocchiaro ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Genetic Resistance ◽  
Genetic Selection ◽  
Significant Snps ◽  
Economic Losses ◽  
Genotype Distribution ◽  
Inflammatory Reactions ◽  
Next Generation Sequencing Technology ◽  
Holstein Friesian ◽  
Holstein Bulls

Mastitis is an infectious disease affecting the mammary gland, leading to inflammatory reactions and to heavy economic losses due to milk production decrease. One possible way to tackle the antimicrobial resistance issue stemming from antimicrobial therapy is to select animals with a genetic resistance to this disease. Therefore, aim of this study was to analyze the genetic variability of the SNPs found in candidate genes related to mastitis resistance in Holstein Friesian bulls. Target regions were amplified, sequenced by Next-Generation Sequencing technology on the Illumina® MiSeq, and then analyzed to find correlation with mastitis related phenotypes in 95 Italian Holstein bulls chosen with the aid of a selective genotyping approach. On a total of 557 detected mutations, 61 showed different genotype distribution in the tails of the deregressed EBVs for SCS and 15 were identified as significantly associated with the phenotype using two different approaches. The significant SNPs were identified in intergenic or intronic regions of six genes, known to be key components in the immune system (namely CXCR1, DCK, NOD2, MBL2, MBL1 and M-SAA3.2). These SNPs could be considered as candidates for a future genetic selection for mastitis resistance, although further studies are required to assess their presence in other dairy cattle breeds and their possible negative correlation with other traits.

scholarly journals Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

2019 ◽  
Author(s):  
Waltram Ravelombola ◽  
Jun Qin ◽  
Ainong Shi ◽  
Fengmin Wang ◽  
Yan Feng ◽  
...  
Keyword(s):  
Association Study ◽  
Genomic Selection ◽  
Candidate Genes ◽  
Plant Height ◽  
Seed Weight ◽  
Genome Wide Association Study ◽  
Agronomic Traits ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Genome Wide

Abstract Background Soybean [ Glycine max (L.) Merr.] is a legume of great interest worldwide. Enhancing genetic gain for agronomic traits via molecular approaches has been long considered as the main task for soybean breeders and geneticists. The objectives of this study were to evaluate maturity, plant height, seed weight, and yield in a diverse soybean accession panel, to conduct a genome-wide association study (GWAS) for these traits and identify SNP markers associated with the four traits, and to assess genomic selection (GS) accuracy. Results A total of 250 soybean accessions were evaluated for maturity, plant height, seed weight, and yield over three years. This panel was genotyped with a total of 10,259 high quality SNPs postulated from genotyping by sequencing (GBS). GWAS was performed using a Bayesian Information and Linkage Disequilibrium Iteratively Nested Keyway (BLINK) model, and GS was evaluated using a ridge regression best linear unbiased predictor (rrBLUP) model. The results revealed that a total of 20, 31, 37, 31, and 23 SNPs were significantly associated with the average 3-year data for maturity, plant height, seed weight, and yield, respectively; some significant SNPs were mapped into previously described loci ( E2 , E4 , and Dt1 ) affecting maturity and plant height in soybean and a new locus mapped on chromosome 20 was significantly associated with plant height; Glyma.10g228900 , Glyma.19g200800 , Glyma.09g196700 , and Glyma.09g038300 were candidate genes found in the vicinity of the top or the second best SNP for maturity, plant height, seed weight, and yield, respectively; a 11.5-Mb region of chromosome 10 was associated with both seed weight and yield; and GS accuracy was trait-, year-, and population structure-dependent. Conclusions The SNP markers identified from this study for plant height, maturity, seed weight and yield can be used to improve the four agronomic traits through marker-assisted selection (MAS) and GS in soybean breeding programs. After validation, the candidate genes can be transferred to new cultivars using SNP markers through MAS. The high GS accuracy has confirmed that the four agronomic traits can be selected in molecular breeding through GS.

scholarly journals Identification of Novel Genome-Wide Associations for Oral Inflammatory Traits

2020 ◽  
Author(s):  
Yanjiao Jin ◽  
Jie Yang ◽  
Shuyue Zhang ◽  
Jin Li ◽  
Songlin Wang
Keyword(s):  
Candidate Genes ◽  
Immune Regulation ◽  
Functional Annotation ◽  
Inflammatory Diseases ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Protein Protein Interaction ◽  
Genome Wide ◽  
Causal Variants

Abstract Background: Oral diseases impact the majority of the world’s population. The following traits are common in oral inflammatory diseases: mouth ulcers, painful gums, bleeding gums, loose teeth, and toothache. Despite the prevalence of genome-wide association studies, the associations between these traits and common genomic variants, and whether pleiotropic loci are shared by some of these traits remain poorly understood. Methods: In this work, we conducted multi-trait joint analyses based on the summary statistics of genome-wide association studies of these five oral inflammatory traits from the UK Biobank, each of which is comprised of over 10,000 cases and over 300,000 controls. We estimated the genetic correlations between the five traits. We conducted fine-mapping and functional annotation based on multi-omics data to better understand the biological functions of the potential causal variants at each locus. To identify the pathways in which the candidate genes were mainly involved, we applied gene-set enrichment analysis, and further performed protein-protein interaction (PPI) analyses.Results: We identified 39 association signals that surpassed genome-wide significance, including three that were shared between two or more oral inflammatory traits, consistent with a strong correlation. Among these genome-wide significant loci, two were novel for both painful gums and toothache. We performed fine-mapping and identified causal variants at each novel locus. Further functional annotation based on multi-omics data suggested IL10 and IL12A/TRIM59 as potential candidate genes at the novel pleiotropic loci, respectively. Subsequent analyses of pathway enrichment and protein-protein interaction networks suggested the involvement of candidate genes at genome-wide significant loci in immune regulation.Conclusions: Our results highlighted the importance of immune regulation in the pathogenesis of oral inflammatory diseases. Some common immune-related pleiotropic loci or genetic variants are shared by multiple oral inflammatory traits. These findings will be beneficial for risk prediction, prevention, and therapy of oral inflammatory diseases.

scholarly journals Identification of Genetic Loci and Candidate Genes Related to Grain Zinc and Iron Concentration Using a Zinc-Enriched Wheat ‘Zinc-Shakti’

2021 ◽  
Vol 12 ◽  
Author(s):  
Nagenahalli Dharmegowda Rathan ◽  
Deepmala Sehgal ◽  
Karthikeyan Thiyagarajan ◽  
Ravi Singh ◽  
Anju-Mahendru Singh ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Agronomic Traits ◽  
Recombinant Inbred Lines ◽  
Iron Concentration ◽  
Small Peptides ◽  
Growing Seasons ◽  
Grain Zinc ◽  
Pleiotropic Qtl ◽  
Genomic Regions ◽  
Yield Trials

The development of nutritionally enhanced wheat (Triticum aestivum L.) with higher levels of grain iron (Fe) and zinc (Zn) offers a sustainable solution to micronutrient deficiency among resource-poor wheat consumers. One hundred and ninety recombinant inbred lines (RILs) from ‘Kachu’ × ‘Zinc-Shakti’ cross were phenotyped for grain Fe and Zn concentrations and phenological and agronomically important traits at Ciudad Obregon, Mexico in the 2017–2018, 2018–2019, and 2019–2020 growing seasons and Diversity Arrays Technology (DArT) molecular marker data were used to determine genomic regions controlling grain micronutrients and agronomic traits. We identified seven new pleiotropic quantitative trait loci (QTL) for grain Zn and Fe on chromosomes 1B, 1D, 2B, 6A, and 7D. The stable pleiotropic QTL identified have expanded the diversity of QTL that could be used in breeding for wheat biofortification. Nine RILs with the best combination of pleiotropic QTL for Zn and Fe have been identified to be used in future crossing programs and to be screened in elite yield trials before releasing as biofortified varieties. In silico analysis revealed several candidate genes underlying QTL, including those belonging to the families of the transporters and kinases known to transport small peptides and minerals (thus assisting mineral uptake) and catalyzing phosphorylation processes, respectively.

scholarly journals Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Pawan Kumar ◽  
Yajun He ◽  
Rippy Singh ◽  
Richard F. Davis ◽  
Hui Guo ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Fine Mapping ◽  
Meloidogyne Incognita ◽  
Upland Cotton

Abstract 1743: Identification of a Novel Susceptibility Locus at 9q21 for Familial Bicuspid Aortic Valve Disease

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Stephen H McKellar ◽  
Marineh Yagubyan ◽  
Ramanath Majumdar ◽  
David J Tester ◽  
Mariza de Andrade ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Linkage Analysis ◽  
Microsatellite Markers ◽  
Candidate Gene ◽  
Candidate Genes ◽  
Bicuspid Aortic Valve ◽  
Fine Mapping ◽  
Aortic Valve Disease ◽  
Biological Plausibility ◽  
Genome Wide

Background: Bicuspid aortic valve disease (BAV), the most common congenital cardiovascular malformation, has an incidence of 0.5–1.0% of live births. While most cases of BAV appear to be sporadic, familial inheritance patterns have been observed consistent with autosomal dominant inheritance with variable penetrance. However, little is known about specific genetic loci responsible for familial BAV. Here, we performed linkage analysis on a large multi-generational pedigree affected with BAV. Methods: We identified a large, five-generation pedigree (136 family members) with 10 individuals having BAV. Two-dimensional echocardiography was used to assign aortic valve phenotype. Genome-wide linkage analysis using 430 microsatellite markers (Marshfield Clinic) and fine mapping using 100 single nucleotide polymorphisms (Affymetrix) on chromosome 9 was performed on genomic DNA from all available family members. Logarithm of odds (LOD) scores of >2.0 were considered suggestive of linkage. Comprehensive splice site/open reading frame mutational analysis of candidate genes residing in the putative locus is underway using PCR, DHPLC, and DNA sequencing. A candidate gene, KLF9, Krüppel-like factor 9 was analyzed for mutations because of its role in cardiogenesis. Results: Multi-point genome-wide linkage analysis demonstrated a 7 cM region on chromosome 9q21 that was suggestive of linkage for familial BAV with a maximum multipoint LOD score of 2.8 flanked by the microsatellite markers GATA7D12 and D9S1834. This region contains several candidate genes with biological plausibility for BAV phenotype. KLF9- encoded Krüppel-like factor 9, localized to chromosome 9q21, was targeted as a prime candidate gene for familial BAV. However, no mutations involving the translated exons of KLF9 were detected. Further fine mapping studies and candidate gene analysis are currently underway. Conclusions: We report a novel susceptibility locus on chromosome 9q21 for BAV in a large multi-generational family. Although coding region mutations in KLF9 are not responsible for BAV in this pedigree, several candidate genes with biological plausibility for the development of congenital BAV lie within this region and warrant further scrutiny.

Sign in / Sign up

Export Citation Format

Share Document