scholarly journals Clustered brachiopod Hox genes are not expressed collinearly and are associated with lophotrochozoan novelties

2016 ◽  
Author(s):  
Sabrina M. Schiemann ◽  
José M. Martín-Durán ◽  
Aina Børve ◽  
Bruno C. Vellutini ◽  
Yale J. Passamaneck ◽  
...  

AbstractTemporal collinearity is often regarded as the force preserving Hox clusters in vertebrate genomes. Studies that combine genomic and gene expression data in invertebrates would allow generalizing this observation across all animals, but are scarce, particularly within Lophotrochozoa (e.g., snails and segmented worms). Here, we use two brachiopod species –Terebratalia transversa, Novocrania anomala– to characterize the complement, cluster and expression of their Hox genes. T. transversa has an ordered, split cluster with ten genes (lab, pb, Hox3, dfd, scr, lox5, antp, lox4, post2, post1), while N. anomala has nine (missing post1). Our in situ hybridization, qPCR and stage specific transcriptomic analyses show that brachiopod Hox genes are neither strictly temporally nor spatially collinear; only pb (in T. transversa), Hox3 and dfd (in both brachiopods) show staggered mesodermal expression. The spatial expression of the Hox genes in both brachiopod species correlates with their morphology and demonstrates cooption of Hox genes in the chaetae and shell fields, two major lophotrochozoan morphological novelties. The shared and specific expression of a subset of Hox genes, Arx and Zic orthologs in chaetae and shell-fields between brachiopods, mollusks, and annelids supports the deep conservation of the molecular basis forming these lophotrochozoan hallmarks. Our findings challenge that collinearity alone preserves lophotrochozoan Hox clusters, indicating that additional genomic traits need to be considered in understanding Hox evolution.

2017 ◽  
Vol 114 (10) ◽  
pp. E1913-E1922 ◽  
Author(s):  
Sabrina M. Schiemann ◽  
José M. Martín-Durán ◽  
Aina Børve ◽  
Bruno C. Vellutini ◽  
Yale J. Passamaneck ◽  
...  

Temporal collinearity is often considered the main force preserving Hox gene clusters in animal genomes. Studies that combine genomic and gene expression data are scarce, however, particularly in invertebrates like the Lophotrochozoa. As a result, the temporal collinearity hypothesis is currently built on poorly supported foundations. Here we characterize the complement, cluster, and expression of Hox genes in two brachiopod species,Terebratalia transversaandNovocrania anomala.T. transversahas a split cluster with 10 genes (lab,pb,Hox3,Dfd,Scr,Lox5,Antp,Lox4,Post2, andPost1), whereasN. anomalahas 9 genes (apparently missingPost1). Our in situ hybridization, real-time quantitative PCR, and stage-specific transcriptomic analyses show that brachiopod Hox genes are neither strictly temporally nor spatially collinear; onlypb(inT. transversa),Hox3(in both brachiopods), andDfd(in both brachiopods) show staggered mesodermal expression. Thus, our findings support the idea that temporal collinearity might contribute to keeping Hox genes clustered. Remarkably, expression of the Hox genes in both brachiopod species demonstrates cooption of Hox genes in the chaetae and shell fields, two major lophotrochozoan morphological novelties. The shared and specific expression of Hox genes, together withArx,Zic, and Notch pathway components in chaetae and shell fields in brachiopods, mollusks, and annelids provide molecular evidence supporting the conservation of the molecular basis for these lophotrochozoan hallmarks.


2017 ◽  
Author(s):  
Hilary K. Finucane ◽  
Yakir A. Reshef ◽  
Verneri Anttila ◽  
Kamil Slowikowski ◽  
Alexander Gusev ◽  
...  

ABSTRACTGenetics can provide a systematic approach to discovering the tissues and cell types relevant for a complex disease or trait. Identifying these tissues and cell types is critical for following up on non-coding allelic function, developing ex-vivo models, and identifying therapeutic targets. Here, we analyze gene expression data from several sources, including the GTEx and PsychENCODE consortia, together with genome-wide association study (GWAS) summary statistics for 48 diseases and traits with an average sample size of 169,331, to identify disease-relevant tissues and cell types. We develop and apply an approach that uses stratified LD score regression to test whether disease heritability is enriched in regions surrounding genes with the highest specific expression in a given tissue. We detect tissue-specific enrichments at FDR < 5% for 34 diseases and traits across a broad range of tissues that recapitulate known biology. In our analysis of traits with observed central nervous system enrichment, we detect an enrichment of neurons over other brain cell types for several brain-related traits, enrichment of inhibitory over excitatory neurons for bipolar disorder but excitatory over inhibitory neurons for schizophrenia and body mass index, and enrichments in the cortex for schizophrenia and in the striatum for migraine. In our analysis of traits with observed immunological enrichment, we identify enrichments of T cells for asthma and eczema, B cells for primary biliary cirrhosis, and myeloid cells for Alzheimer's disease, which we validated with independent chromatin data. Our results demonstrate that our polygenic approach is a powerful way to leverage gene expression data for interpreting GWAS signal.


2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Ekaterina Myasnikova ◽  
Svetlana Surkova ◽  
Grigory Stein ◽  
Andrei Pisarev ◽  
Maria Samsonova

2003 ◽  
Vol 28 (4) ◽  
pp. 269-285 ◽  
Author(s):  
Andrei Pisarev ◽  
Ekaterina Poustelnikova ◽  
Maria Samsonova ◽  
Peter Baumann

2004 ◽  
Vol 20 (14) ◽  
pp. 2212-2221 ◽  
Author(s):  
E. Poustelnikova ◽  
A. Pisarev ◽  
M. Blagov ◽  
M. Samsonova ◽  
J. Reinitz

2004 ◽  
Vol 29 (1) ◽  
pp. 93
Author(s):  
Andrei Pisarev ◽  
Ekaterina Poustelnikova ◽  
Maria Samsonova ◽  
Peter Baumann

2020 ◽  
Author(s):  
Kevin Lebrigand ◽  
Joseph Bergenstråhle ◽  
Kim Thrane ◽  
Annelie Mollbrink ◽  
Pascal Barbry ◽  
...  

ABSTRACTIn situ capturing technologies add tissue context to gene expression data, with the potential of providing a greater understanding of complex biological systems. However, splicing variants and full-length sequence heterogeneity cannot be characterized with current methods. Here, we introduce Spatial Isoform Transcriptomics (SiT), an explorative method for characterizing spatial isoform and sequence heterogeneity in tissue sections, and show how it can be used to profile isoform expression and sequence heterogeneity in a tissue context


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