2017
DOI: 10.3389/fgene.2017.00145
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Identification of Splicing Quantitative Trait Loci (sQTL) in Drosophila melanogaster with Developmental Lead (Pb2+) Exposure

Abstract: Lead (Pb) poisoning has been a major public health issue globally and the recent Flint water crisis has drawn nation-wide attention to its effects. To better understand how lead plays a role as a neurotoxin, we utilized the Drosophila melanogaster model to study the genetic effects of lead exposure during development and identified lead-responsive genes. In our previous studies, we have successfully identified hundreds of lead-responsive expression QTLs (eQTLs) by using RNA-seq analysis on heads collected from… Show more

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Cited by 13 publications
(7 citation statements)
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References 73 publications
(91 reference statements)
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“…This enables the detection of structural variations such as alternative splicing and novel transcripts. And we successfully used this set of RNA-seq data to search for splicing QTLs (sQTLs)—QTLs that were associated with splicing events, both cis -sQTLs and trans -sQTLs (Ruden et al, 2017 ). Third, the abundant genotype information in RNA-seq data, which includes 11,768 underlying parental haplotype structures, makes it more likely to pinpoint the precise eQTL locus, while the previous microarray eQTL analysis only contain 92 genomic markers, each of which was at least 5 cM wide (Ruden et al, 2009 ).…”
Section: Discussionmentioning
confidence: 99%
“…This enables the detection of structural variations such as alternative splicing and novel transcripts. And we successfully used this set of RNA-seq data to search for splicing QTLs (sQTLs)—QTLs that were associated with splicing events, both cis -sQTLs and trans -sQTLs (Ruden et al, 2017 ). Third, the abundant genotype information in RNA-seq data, which includes 11,768 underlying parental haplotype structures, makes it more likely to pinpoint the precise eQTL locus, while the previous microarray eQTL analysis only contain 92 genomic markers, each of which was at least 5 cM wide (Ruden et al, 2009 ).…”
Section: Discussionmentioning
confidence: 99%
“…Splicing QTLs (sQTLs) have been identified in humans and in model organisms (Li et al, 2016; Hasin-Brumshtein et al, 2016; Ongen & Dermitzakis, 2015; Gutierrez-Arcelus et al, 2015; Qu, Gurdziel, Pique-Regi, & Ruden, 2017; Saha et al, 2017). Analysis of alternative splicing in LCLs, fibroblasts and T-cells from 204 individuals showed that most splicing events are shared across cell types (up to 80%) and identified genetic variants correlated with inter-individual variation in splicing (Gutierrez-Arcelus et al, 2015).…”
Section: Genetic Regulation Of Rna Processingmentioning
confidence: 99%
“…The functional relevance of these sQTLs is strengthened by an enrichment for signatures of positive selection among these sites and high overlap with SNPs associated with autoimmune and neurodegenerative diseases as assessed by genome-wide association studies (GWAS). Another study identified over 100 cis-sQTLs in response to lead exposure in Drosophila melanogaster heads (Qu et al, 2017). The study also identified a potential trans-sQTL hotspot that regulated a cluster of transcripts in response to lead, indicating that trans-acting polymorphisms may have large impacts on isoform composition in different environmental contexts.…”
Section: Genetic Regulation Of Rna Processingmentioning
confidence: 99%
“…Genetic variants, such as single nucleotide polymorphisms (SNPs), can substantially regulate the expression of transcript isoforms by modulating splice sites, which can impact phenotypic diversity and susceptibility to diseases in humans (Singh and Cooper, 2012; Takata et al, 2017). Recent studies showed that 22% of SNPs that are associated with different human diseases affect splicing (Qu et al, 2017; Park et al, 2018). The advances in RNA-Seq and genotyping have augmented the opportunities to monitor genetic variants and quantify transcriptomic features that allow us to understand the genetic landscapes of AS (Smith et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…To illuminate the role of genetic variations on AS in a large collection of highly diverse Arabidopsis lines, we sought to map sQTLs influencing AS. sQTLs spread across the genome can either act in cis - to disrupt the splicing of a proximal pre-mRNA by modulating splicing factors binding affinity to the pre-mRNA or in trans by regulating the splicing of distal pre-mRNA through altered expression of splicing regulators (Yoo et al, 2016; Qu et al, 2017).…”
Section: Introductionmentioning
confidence: 99%