scholarly journals Fine mapping and discovery of candidate genes for seed size in watermelon by genome survey sequencing

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Na Li ◽  
Jianli Shang ◽  
Jiming Wang ◽  
Dan Zhou ◽  
Nannan Li ◽  
...  
2021 ◽  
Vol 12 ◽  
Author(s):  
Zhongfeng Li ◽  
Xingguo Zhang ◽  
Kunkun Zhao ◽  
Kai Zhao ◽  
Chengxin Qu ◽  
...  

Seed size/weight, a key domestication trait, is also an important selection target during peanut breeding. However, the mechanisms that regulate peanut seed development are unknown. We re-sequenced 12 RNA samples from developing seeds of two cultivated peanut accessions (Lines 8106 and 8107) and wild Arachis monticola at 15, 30, 45, and 60 days past flowering (DPF). Transcriptome analyses showed that ∼36,000 gene loci were expressed in each of the 12 RNA samples, with nearly half exhibiting moderate (2 ≤ FPKM < 10) expression levels. Of these genes, 12.2% (4,523) were specifically expressed during seed development, mainly at 15 DPF. Also, ∼12,000 genes showed significant differential expression at 30, 45, and/or 60 DPF within each of the three peanut accessions, accounting for 31.8–34.1% of the total expressed genes. Using a method that combined comprehensive transcriptome analysis and previously mapped QTLs, we identified several candidate genes that encode transcription factor TGA7, topless-related protein 2, IAA-amino acid hydrolase ILR1-like 5, and putative pentatricopeptide repeat-containing (PPR) protein. Based on sequence variations identified in these genes, SNP markers were developed and used to genotype both 30 peanut landraces and a genetic segregated population, implying that EVM0025654 encoding a PPR protein may be associated with the increased seed size/weight of the cultivated accessions in comparison with the allotetraploid wild peanut. Our results provide additional knowledge for the identification and functional research into candidate genes responsible for the seed size/weight phenotype in peanut.


BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Pawan Kumar ◽  
Yajun He ◽  
Rippy Singh ◽  
Richard F. Davis ◽  
Hui Guo ◽  
...  

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Stephen H McKellar ◽  
Marineh Yagubyan ◽  
Ramanath Majumdar ◽  
David J Tester ◽  
Mariza de Andrade ◽  
...  

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.


2019 ◽  
Vol 444 (1-2) ◽  
pp. 119-137 ◽  
Author(s):  
Zhandong Cai ◽  
Yanbo Cheng ◽  
Peiqi Xian ◽  
Rongbin Lin ◽  
Qiuju Xia ◽  
...  

2019 ◽  
Vol 64 (No. 4) ◽  
pp. 180-188
Author(s):  
Sangwook Kim ◽  
Byeonghwi Lim ◽  
Kwansuk Kim ◽  
Kyoungtag Do

Intramuscular fat (IMF) and fatty acid composition are characteristics that are used as important indicators of evaluating high quality pork and contribute to the economic benefits of the pig farming industry. In this study, quantitative trait loci (QTL) fine mapping of chromosome 12 was performed in a population of F2 intercross between Yorkshire (YS) and Korean native pigs (KNPs) by adopting combined linkage and linkage disequilibrium method using high-density SNP chips. QTLs for IMF (H3GA0034813 to H3GA0034965) and oleic acid (C18:1) (ASGA0054380 to ALGA0066299) were located at 120 cM (54.112–57.610 kb) and 85 cM (36.097–38.601 kb), respectively, within chromosome 12 (Sscrofa11.1 genomic reference). In addition, 31 candidate genes present within the IMF QTL region and 28 candidate genes existing within C18:1 QTL region were chosen. In order to understand the function of these candidate genes at the molecular level, these candidate genes were functionally categorized by studying gene ontology and analyzing network and pathway. Among the 59 candidate genes within the region of IMF QTL and C18:1 QTL, five (MYH1, MYH2, MYH4, ACACA, and RPS6KB1) directly interacting candidate genes were found. Furthermore, the RPS6KB1 gene was assumed to be an important candidate gene that is involved in leptin and insulin signaling pathway and participates in controlling adipogenic differentiation, fat deposition, and fatty acid composition, which is related to obesity of pigs.  


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