scholarly journals Locus architecture affects mRNA expression levels in Drosophila embryos

2014 ◽  
Author(s):  
Tara Lydiard-Martin ◽  
Meghan Bragdon ◽  
Kelly B Eckenrode ◽  
Zeba Wunderlich ◽  
Angela H DePace
Keyword(s):  
Gene Expression ◽  
Structural Variation ◽  
Regulatory Sequence ◽  
Structural Variants ◽  
Orientation Order ◽  
Highly Sensitive ◽  
Sequence Elements ◽  
Predict Gene Expression ◽  
Mrna Expression Levels ◽  
Drosophila Embryos

Structural variation in the genome is common due to insertions, deletions, duplications and rearrangements. However, little is known about the ways structural variants impact gene expression. Developmental genes are controlled by multiple regulatory sequence elements scattered over thousands of bases; developmental loci are therefore a good model to test the functional impact of structural variation on gene expression. Here, we measured the effect of rearranging two developmental enhancers from theeven-skipped(eve) locus inDrosophila melanogasterblastoderm embryos. We systematically varied orientation, order, and spacing of the enhancers in transgenic reporter constructs and measured expression quantitatively at single cell resolution in whole embryos to detect changes in both level and position of expression. We found that the position of expression was robust to changes in locus organization, but levels of expression were highly sensitive to the spacing between enhancers and order relative to the promoter. Our data demonstrate that changes in locus architecture can dramatically impact levels of gene expression. To quantitatively predict gene expression from sequence, we must therefore consider how information is integrated both within enhancers and across gene loci.

Regulatory sequence elements of mouse GLUT4 gene expression in adipose tissues

2003 ◽  
Vol 312 (2) ◽  
pp. 277-284 ◽  
Author(s):  
Shinji Miura ◽  
Nobuyo Tsunoda ◽  
Shinobu Ikeda ◽  
Yuko Kai ◽  
Misaki Ono ◽  
...  
Keyword(s):  
Gene Expression ◽  
Regulatory Sequence ◽  
Adipose Tissues ◽  
Sequence Elements ◽  
Glut4 Gene Expression

scholarly journals X chromosome-dependent disruption of placental regulatory networks in hybrid dwarf hamsters

Genetics ◽  
2021 ◽  
Author(s):  
Thomas D Brekke ◽  
Emily C Moore ◽  
Shane C Campbell-Staton ◽  
Colin M Callahan ◽  
Zachary A Cheviron ◽  
...  
Keyword(s):  
Gene Expression ◽  
X Chromosome ◽  
Regulatory Networks ◽  
Mammalian Species ◽  
Strongly Correlated ◽  
Placental Development ◽  
Substitution Lines ◽  
Genome Wide ◽  
Highly Sensitive ◽  
First And Second Generation

AbstractEmbryonic development in mammals is highly sensitive to changes in gene expression within the placenta. The placenta is also highly enriched for genes showing parent-of-origin or imprinted expression, which is predicted to evolve rapidly in response to parental conflict. However, little is known about the evolution of placental gene expression, or if divergence of placental gene expression plays an important role in mammalian speciation. We used crosses between two species of dwarf hamsters (Phodopus sungorus and Phodopus campbelli) to examine the genetic and regulatory underpinnings of severe placental overgrowth in their hybrids. Using quantitative genetic mapping and mitochondrial substitution lines, we show that overgrowth of hybrid placentas was primarily caused by genetic differences on the maternally inherited P. sungorus X chromosome. Mitochondrial interactions did not contribute to abnormal hybrid placental development, and there was only weak correspondence between placental disruption and embryonic growth. Genome-wide analyses of placental transcriptomes from the parental species and first- and second-generation hybrids revealed a central group of co-expressed X-linked and autosomal genes that were highly enriched for maternally biased expression. Expression of this gene network was strongly correlated with placental size and showed widespread misexpression dependent on epistatic interactions with X-linked hybrid incompatibilities. Collectively, our results indicate that the X chromosome is likely to play a prominent role in the evolution of placental gene expression and the accumulation of hybrid developmental barriers between mammalian species.

scholarly journals Concerted genomic and epigenomic changes accompany stabilization of Arabidopsis allopolyploids

2021 ◽  
Vol 5 (10) ◽  
pp. 1382-1393
Author(s):  
Xinyu Jiang ◽  
Qingxin Song ◽  
Wenxue Ye ◽  
Z. Jeffrey Chen
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Small Rnas ◽  
Structural Variation ◽  
Self Incompatibility ◽  
Polyploid Evolution ◽  
Genomic Variations ◽  
Conserved Gene ◽  
Arabidopsis Suecica ◽  
Affect Gene Expression

AbstractDuring evolution successful allopolyploids must overcome ‘genome shock’ between hybridizing species but the underlying process remains elusive. Here, we report concerted genomic and epigenomic changes in resynthesized and natural Arabidopsis suecica (TTAA) allotetraploids derived from Arabidopsisthaliana (TT) and Arabidopsisarenosa (AA). A. suecica shows conserved gene synteny and content with more gene family gain and loss in the A and T subgenomes than respective progenitors, although A. arenosa-derived subgenome has more structural variation and transposon distributions than A. thaliana-derived subgenome. These balanced genomic variations are accompanied by pervasive convergent and concerted changes in DNA methylation and gene expression among allotetraploids. The A subgenome is hypomethylated rapidly from F1 to resynthesized allotetraploids and convergently to the T-subgenome level in natural A. suecica, despite many other methylated loci being inherited from F1 to all allotetraploids. These changes in DNA methylation, including small RNAs, in allotetraploids may affect gene expression and phenotypic variation, including flowering, silencing of self-incompatibility and upregulation of meiosis- and mitosis-related genes. In conclusion, concerted genomic and epigenomic changes may improve stability and adaptation during polyploid evolution.

scholarly journals Olfactory expression of trace amine-associated receptors requires cooperative cis-acting enhancers

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ami Shah ◽  
Madison Ratkowski ◽  
Alessandro Rosa ◽  
Paul Feinstein ◽  
Thomas Bozza
Keyword(s):  
Gene Expression ◽  
Large Family ◽  
Sequence Motifs ◽  
Specific Expression ◽  
Cis Acting ◽  
Conserved Sequence ◽  
Trace Amine ◽  
Sequence Elements ◽  
Cell Type Specific Expression ◽  
Cell Type Specific

AbstractOlfactory sensory neurons express a large family of odorant receptors (ORs) and a small family of trace amine-associated receptors (TAARs). While both families are subject to so-called singular expression (expression of one allele of one gene), the mechanisms underlying TAAR gene choice remain obscure. Here, we report the identification of two conserved sequence elements in the mouse TAAR cluster (T-elements) that are required for TAAR gene expression. We observed that cell-type-specific expression of a TAAR-derived transgene required either T-element. Moreover, deleting either element reduced or abolished expression of a subset of TAAR genes, while deleting both elements abolished olfactory expression of all TAARs in cis with the mutation. The T-elements exhibit several features of known OR enhancers but also contain highly conserved, unique sequence motifs. Our data demonstrate that TAAR gene expression requires two cooperative cis-acting enhancers and suggest that ORs and TAARs share similar mechanisms of singular expression.

scholarly journals Candida albicans Ferric Reductases Are Differentially Regulated in Response to Distinct Forms of Iron Limitation by the Rim101 and CBF Transcription Factors

2008 ◽  
Vol 7 (7) ◽  
pp. 1168-1179 ◽  
Author(s):  
Yong-Un Baek ◽  
Mingchun Li ◽  
Dana A. Davis
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Candida Albicans ◽  
Transcription Factors ◽  
Iron Acquisition ◽  
Mammalian Host ◽  
Regulatory Sequence ◽  
Ferric Reductase ◽  
Reductase Gene ◽  
Ferric Reductases

ABSTRACT Iron is an essential nutrient that is severely limited in the mammalian host. Candida albicans encodes a family of 15 putative ferric reductases, which are required for iron acquisition and utilization. Despite the central role of ferric reductases in iron acquisition and mobilization, relatively little is known about the regulatory networks that govern ferric reductase gene expression in C. albicans. Here we have demonstrated the differential regulation of two ferric reductases, FRE2 and FRP1, in response to distinct iron-limited environments. FRE2 and FRP1 are both induced in alkaline-pH environments directly by the Rim101 transcription factor. However, FRP1 but not FRE2 is also induced by iron chelation. We have identified a CCAAT motif as the critical regulatory sequence for chelator-mediated induction and have found that the CCAAT binding factor (CBF) is essential for FRP1 expression in iron-limited environments. We found that a hap5Δ/hap5Δ mutant, which disrupts the core DNA binding activity of CBF, is unable to grow under iron-limited conditions. C. albicans encodes three CBF-dependent transcription factors, and we identified the Hap43 protein as the CBF-dependent transcription factor required for iron-limited responses. These studies provide key insights into the regulation of ferric reductase gene expression in the fungal pathogen C. albicans.

scholarly journals The Effect of Regulatory Sequence Elements upon the Initiation of DNA Replication of the Minute Virus of Mice

Virology ◽  
1996 ◽  
Vol 224 (1) ◽  
pp. 320-325 ◽  
Author(s):  
Nandini Cossons ◽  
Maria Zannis-Hadjopoulos ◽  
Patrick Tam ◽  
Caroline R. Astell ◽  
Emmanuel A. Faust
Keyword(s):  
Dna Replication ◽  
Regulatory Sequence ◽  
Minute Virus Of Mice ◽  
Sequence Elements ◽  
Minute Virus ◽  
Initiation Of Dna Replication

scholarly journals stLFRsv: A Germline Structural Variant Analysis Pipeline Using Co-barcoded Reads

2021 ◽  
Vol 12 ◽  
Author(s):  
Junfu Guo ◽  
Chang Shi ◽  
Xi Chen ◽  
Ou Wang ◽  
Ping Liu ◽  
...  
Keyword(s):  
Structural Variation ◽  
Signal To Noise Ratio ◽  
Recall Rate ◽  
Structural Variants ◽  
Analysis Pipeline ◽  
Haplotype Phasing ◽  
Base Level ◽  
Long Reads ◽  
Variant Analysis ◽  
Complex Structural

Co-barcoded reads originating from long DNA fragments (mean length >30 kbp) maintain both single base level accuracy and long-range genomic information. We propose a pipeline, stLFRsv, to detect structural variation using co-barcoded reads. stLFRsv identifies abnormal large gaps between co-barcoded reads to detect potential breakpoints and reconstruct complex structural variants (SVs). Haplotype phasing by co-barcoded reads increases the signal to noise ratio, and barcode sharing profiles are used to filter out false positives. We integrate the short read SV caller smoove for smaller variants with stLFRsv. The integrated pipeline was evaluated on the well-characterized genome HG002/NA24385, and 74.5% precision and a 22.4% recall rate were obtained for deletions. stLFRsv revealed some large variants not included in the benchmark set that were verified by long reads or assembly. For the HG001/NA12878 genome, stLFRsv also achieved the best performance for both resource usage and the detection of large variants. Our work indicates that co-barcoded read technology has the potential to improve genome completeness.

scholarly journals Optical Biopsy Using a Neural Network to Predict Gene Expression From Photos of Wounds

2022 ◽  
Vol 270 ◽  
pp. 547-554
Author(s):  
Grant Schumaker ◽  
Andrew Becker ◽  
Gary An ◽  
Stephen Badylak ◽  
Scott Johnson ◽  
...  
Keyword(s):  
Neural Network ◽  
Gene Expression ◽  
Optical Biopsy ◽  
Predict Gene Expression

scholarly journals Evaluation of Genotype-Based Gene Expression Model Performance: A Cross-Framework and Cross-Dataset Study

Genes ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1531
Author(s):  
Vânia Tavares ◽  
Joana Monteiro ◽  
Evangelos Vassos ◽  
Jonathan Coleman ◽  
Diana Prata
Keyword(s):  
Gene Expression ◽  
Frontal Cortex ◽  
Model Performance ◽  
Variation Method ◽  
Expression Model ◽  
The Brain ◽  
Gene Expression Model ◽  
And Training ◽  
Predict Gene Expression ◽  
Fold Cross Validation

Predicting gene expression from genotyped data is valuable for studying inaccessible tissues such as the brain. Herein we present eGenScore, a polygenic/poly-variation method, and compare it with PrediXcan, a method based on regularized linear regression using elastic nets. While both methods have the same purpose of predicting gene expression based on genotype, they carry important methodological differences. We compared the performance of expression quantitative trait loci (eQTL) models to predict gene expression in the frontal cortex, comparing across these frameworks (eGenScore vs. PrediXcan) and training datasets (BrainEAC, which is brain-specific, vs. GTEx, which has data across multiple tissues). In addition to internal five-fold cross-validation, we externally validated the gene expression models using the CommonMind Consortium database. Our results showed that (1) PrediXcan outperforms eGenScore regardless of the training database used; and (2) when using PrediXcan, the performance of the eQTL models in frontal cortex is higher when trained with GTEx than with BrainEAC.

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