Decryption of favourable haplotypes and potential candidate genes for five fibre quality properties using a relatively novel genome-wide association study procedure in upland cotton

2020 ◽  
Vol 158 ◽  
pp. 113004
Author(s):  
Junji Su ◽  
Caixiang Wang ◽  
Delong Yang ◽  
Chunhui Shi ◽  
Ai Zhang ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Upland Cotton ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Potential Candidate ◽  
Fibre Quality ◽  
Quality Properties ◽  
Genome Wide

scholarly journals Genome-Wide Association Study and Pathway Analysis for Female Fertility Traits in Iranian Holstein Cattle

2020 ◽  
Vol 20 (3) ◽  
pp. 825-851
Author(s):  
Ali Mohammadi ◽  
Sadegh Alijani ◽  
Seyed Abbas Rafat ◽  
Rostam Abdollahi-Arpanahi
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Female Fertility ◽  
Gene Set Enrichment Analysis ◽  
Genome Wide Association ◽  
Holstein Cattle ◽  
Potential Candidate ◽  
Genome Wide ◽  
Fertility Traits

AbstractFemale fertility is an important trait that contributes to cow’s profitability and it can be improved by genomic information. The objective of this study was to detect genomic regions and variants affecting fertility traits in Iranian Holstein cattle. A data set comprised of female fertility records and 3,452,730 pedigree information from Iranian Holstein cattle were used to predict the breeding values, which were then employed to estimate the de-regressed proofs (DRP) of genotyped animals. A total of 878 animals with DRP records and 54k SNP markers were utilized in the genome-wide association study (GWAS). The GWAS was performed using a linear regression model with SNP genotype as a linear covariate. The results showed that an SNP on BTA19, ARS-BFGL-NGS-33473, was the most significant SNP associated with days from calving to first service. In total, [69] significant SNPs were located within 27 candidate genes. Novel potential candidate genes include OSTN, DPP6, EphA5, CADPS2, Rfc1, ADGRB3, Myo3a, C10H14orf93, KIAA1217, RBPJL, SLC18A2, GARNL3, NCALD, ASPH, ASIC2, OR3A1, CHRNB4, CACNA2D2, DLGAP1, GRIN2A and ME3. These genes are involved in different pathways relevant to female fertility and other characteristics in mammals. Gene set enrichment analysis showed that thirteen GO terms had significant overrepresentation of genes statistically associated with female fertility traits. The results of network analysis identified CCNB1 gene as a hub gene in the progesterone-mediated oocyte maturation pathway, significantly associated with age at first calving. The candidate genes identified in this study can be utilized in genomic tests to improve reproductive performance in Holstein cattle.

scholarly journals Genome-Wide Association Study Identifies Candidate Genes Related to the Linoleic Acid Content in Soybean Seeds

2021 ◽  
Vol 23 (1) ◽  
pp. 454
Author(s):  
Qin Di ◽  
Angela Piersanti ◽  
Qi Zhang ◽  
Cristina Miceli ◽  
Hui Li ◽  
...  
Keyword(s):  
Linoleic Acid ◽  
Association Study ◽  
Candidate Genes ◽  
Acid Content ◽  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Soybean Seeds ◽  
Potential Candidate ◽  
Genome Wide

Soybean (Glycine max (L.) Merrill) oil is a complex mixture of five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic). The high content of linoleic acid (LA) contributes to the oil having poor oxidative stability. Therefore, soybean seed with a lower LA content is desirable. To investigate the genetic architecture of LA, we performed a genome-wide association study (GWAS) using 510 soybean cultivars collected from China. The phenotypic identification results showed that the content of LA varied from 36.22% to 72.18%. The GWAS analysis showed that there were 37 genes related to oleic acid content, with a contribution rate of 7%. The candidate gene Glyma.04G116500.1 (GmWRI14) on chromosome 4 was detected in three consecutive years. The GmWRI14 showed a negative correlation with the LA content and the correlation coefficient was −0.912. To test whether GmWRI14 can lead to a lower LA content in soybean, we introduced GmWRI14 into the soybean genome. Matrix-assisted laser desorption/ionization time-of-flight imaging mass spectrometry (MALDI-TOF IMS) showed that the overexpression of GmWRI14 leads to a lower LA content in soybean seeds. Meanwhile, RNA-seq verified that GmWRI14-overexpressed soybean lines showed a lower accumulation of GmFAD2-1A and GmFAD2-1B than control lines. Our results indicate that the down-regulation of the FAD2 gene triggered by the transcription factor GmWRI14 is the underlying mechanism reducing the LA level of seed. Our results provide novel insights into the genetic architecture of LA and pinpoint potential candidate genes for further in-depth studies.

scholarly journals Genome-wide Association Study Reveals Novel Quantitative Trait Loci and Candidate Genes of Lint Percentage in Upland Cotton Based on the CottonSNP80K Array

2021 ◽  
Author(s):  
Yu Chen ◽  
Yang Gao ◽  
Pengyun Chen ◽  
Juan Zhou ◽  
Chuanyun Zhang ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Upland Cotton ◽  
Molecular Mechanisms ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Oilseed Crop ◽  
Cotton Production ◽  
Lint Percentage ◽  
Genome Wide

Abstract Cotton (Gossypium spp.) is an important natural textile fiber and oilseed crop widely cultivated in the world. Lint percentage (LP, %) is one of the important yield factor, thus increasing lint percentage is a core goal of cotton breeding improvement. However, the underlying genetic and molecular mechanisms that control lint percentage in upland cotton remain largely unknown. Here, we performed a Genome-wide association study (GWAS) for LP based on phenotypic tests of 254 upland cotton accessions in four environments and BLUPs using the high-density CottonSNP80K array. A total of 41,413 high-quality single-nucleotide polymorphisms (SNPs) were screened and 34 SNPs within 22 QTLs were identified as significantly associated with lint percentage trait in different environments. In total, 175 candidate genes were identified from two major genomic loci (GR1 and GR2) of upland cotton and 50 hub genes were identified through GO enrichment and WGCNA analysis. Furthermore, two candidate/causal genes, Gh_D01G0162 and Gh_D07G0463, which pleiotropically increased lint percentage were identified and further verified its function through LD blocks, haplotypes and qRT-PCR analysis. Co-expression network analysis showed that the candidate/causal and hub gene, Gh_D07G0463, was significantly related to another candidate gene, Gh_D01G0162, and the simultaneous pyramid of the two genes lays the foundation for a more efficient increase in cotton production. Our study provides crucial insights into the genetic and molecular mechanisms underlying variations of yield traits and serves as an important foundation for lint percentage improvement via marker-assisted breeding.

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