Cis-regulatory Mutations Research Articles

Genome-wide analysis of histone modifications can contribute to the identification of candidate cis-regulatory regions in the threespine stickleback fish

BackgroundCis-regulatory mutations often underlie phenotypic evolution. However, because identifying the locations of promoters and enhancers in non-coding regions is challenging, we have fewer examples of identified causative cis-regulatory mutations that underlie naturally occurring phenotypic variations than of causative amino acid-altering mutations. Because cis-regulatory elements have epigenetic marks of specific histone modifications, we can detect cis-regulatory elements by mapping and analyzing them. Here, we investigated histone modifications and chromatin accessibility with cleavage under targets and tagmentation (CUT&Tag) and assay for transposase-accessible chromatin-sequencing (ATAC-seq).ResultsUsing the threespine stickleback (Gasterosteus aculeatus) as a model, we confirmed that the genes for which nearby regions showed active marks, such as H3K4me1, H3K4me3, and high chromatin accessibility, were highly expressed. In contrast, the expression levels of genes for which nearby regions showed repressive marks, such as H3K27me3, were reduced, suggesting that our chromatin analysis protocols overall worked well. Genomic regions with peaks of histone modifications showed higher nucleotide diversity within and between populations. By comparing gene expression in the gills of the marine and stream ecotypes, we identified several insertions and deletions (indels) with transposable element fragments in the candidate cis-regulatory regions.ConclusionsThus, mapping and analyzing histone modifications can help identify cis-regulatory elements and accelerate the identification of causative mutations in the non-coding regions underlying naturally occurring phenotypic variations.

Deep molecular learning of transcriptional control of a synthetic CRE enhancer and its variants

Massively parallel reporter assay measures transcriptional activities of various cis-regulatory modules (CRMs) in a single experiment. We developed a thermodynamic computational model framework that calculates quantitative levels of gene expression directly from regulatory DNA sequences. Using the framework, we investigated the molecular mechanisms of cis-regulatory mutations of a synthetic enhancer that cause abnormal gene expression. We found that, in a human cell line, competitive binding between family transcription factors (TFs) with slightly different binding preferences significantly increases the accuracy of recapitulating the transcriptional effects of thousands of single- or multi-mutations. We also discovered that even if various harmful mutations occurred in an activator binding site, CRM could stably maintain or even increase gene expression through a certain form of competitive binding between family TFs. These findings enhance understanding the effect of SNPs and indels on CRMs and would help building robust custom-designed CRMs for biologics production and gene therapy.

Loss of collagen gene expression in the notochord of the tailless tunicate Molgula occulta.

In tunicates, several species in the Molgulidae family have convergently lost the tailed, swimming larval body plan, including the morphogenesis of the notochord, a major chordate-defining trait. Through the comparison of tailless M. occulta and a close relative, the tailed species M. oculata, we show that notochord-specific expression of the Collagen Type I/II Alpha (Col1/2a) gene appears to have been lost specifically in the tailless species. Using CRISPR/Cas9-mediated mutagenesis in the tailed laboratory model tunicate Ciona robusta, we demonstrate that Col1/2a plays a crucial role in the convergent extension of notochord cells during tail elongation. Our results suggest that the expression of Col1/2a in the notochord, although necessary for its morphogenesis in tailed species, is dispensable for tailless species. This loss is likely a result of the accumulation of cis-regulatory mutations in the absence of purifying selective pressure. More importantly, the gene itself is not lost, likely due to its roles in other developmental processes, including during the adult stage. Our study further confirms the Molgulidae as an interesting family in which to study the evolutionary loss of tissue-specific expression of indispensable genes.

Analysis of the genetic loci of pigment pattern evolution in vertebrates.

Vertebrate pigmentation patterns are amongst the best characterised model systems for studying the genetic basis of adaptive evolution. The wealth of available data on the genetic basis for pigmentation evolution allows for analysis of trends and quantitative testing of evolutionary hypotheses. We employed Gephebase, a database of genetic variants associated with natural and domesticated trait variation, to examine trends in how cis-regulatory and coding mutations contribute to vertebrate pigmentation phenotypes, as well as factors that favour one mutation type over the other. We found that studies with lower ascertainment bias identified higher proportions of cis-regulatory mutations, and that cis-regulatory mutations were more common amongst animals harbouring a higher number of pigment cell classes. We classified pigmentation traits firstly according to their physiological basis and secondly according to whether they affect colour or pattern, and identified that carotenoid-based pigmentation and variation in pattern boundaries are preferentially associated with cis-regulatory change. We also classified genes according to their developmental, cellular, and molecular functions. We found a greater proportion of cis-regulatory mutations in genes implicated in upstream developmental processes compared to those involved in downstream cellular functions, and that ligands were associated with a higher proportion of cis-regulatory mutations than their respective receptors. Based on these trends, we discuss future directions for research in vertebrate pigmentation evolution.

Dr.Nod: computational framework for discovery of regulatory non-coding drivers in tissue-matched distal regulatory elements.

The discovery of cancer driver mutations is a fundamental goal in cancer research. While many cancer driver mutations have been discovered in the protein-coding genome, research into potential cancer drivers in the non-coding regions showed limited success so far. Here, we present a novel comprehensive framework Dr.Nod for detection of non-coding cis-regulatory candidate driver mutations that are associated with dysregulated gene expression using tissue-matched enhancer-gene annotations. Applying the framework to data from over 1500 tumours across eight tissues revealed a 4.4-fold enrichment of candidate driver mutations in regulatory regions of known cancer driver genes. An overarching conclusion that emerges is that the non-coding driver mutations contribute to cancer by significantly altering transcription factor binding sites, leading to upregulation of tissue-matched oncogenes and down-regulation of tumour-suppressor genes. Interestingly, more than half of the detected cancer-promoting non-coding regulatory driver mutations are over 20 kb distant from the cancer-associated genes they regulate. Our results show the importance of tissue-matched enhancer-gene maps, functional impact of mutations, and complex background mutagenesis model for the prediction of non-coding regulatory drivers. In conclusion, our study demonstrates that non-coding mutations in enhancers play a previously underappreciated role in cancer and dysregulation of clinically relevant target genes.

Network Topology Can Explain Differences in Pleiotropy Between Cis- and Trans-regulatory Mutations.

A mutation's degree of pleiotropy (i.e., the number of traits it alters) is predicted to impact the probability of the mutation being detrimental to fitness. For mutations that impact gene expression, mutations acting in cis have been hypothesized to generally be less pleiotropic than mutations affecting the same gene's expression in trans, suggesting that cis-regulatory mutations should be less deleterious and more likely to fix over evolutionary time. Here, we use expression and fitness data from Saccharomyces cerevisiae gene deletion strains to test these hypotheses. By treating deletion of each gene as a cis-regulatory mutation affecting its own expression and deletions of other genes affecting expression of this focal gene as trans-regulatory mutations, we find that cis-acting mutations do indeed tend to be less pleiotropic than trans-acting mutations affecting expression of the same gene. This pattern was observed for the vast majority of genes in the data set and could be explained by the topology of the regulatory network controlling gene expression. Comparing the fitness of cis- and trans-acting mutations affecting expression of the same gene also confirmed that trans-acting deletions tend to be more deleterious. These findings provide strong support for pleiotropy playing a role in the preferential fixation of cis-regulatory alleles over evolutionary time.

Cis-regulatory mutations associate with transcriptional and post-transcriptional deregulation of gene regulatory programs in cancers.

Most cancer alterations occur in the noncoding portion of the human genome, where regulatory regions control gene expression. The discovery of noncoding mutations altering the cells' regulatory programs has been limited to few examples with high recurrence or high functional impact. Here, we show that transcription factor binding sites (TFBSs) have similar mutation loads to those in protein-coding exons. By combining cancer somatic mutations in TFBSs and expression data for protein-coding and miRNA genes, we evaluate the combined effects of transcriptional and post-transcriptional alterations on the regulatory programs in cancers. The analysis of seven TCGA cohorts culminates with the identification of protein-coding and miRNA genes linked to mutations at TFBSs that are associated with a cascading trans-effect deregulation on the cells' regulatory programs. Our analyses of cis-regulatory mutations associated with miRNAs recurrently predict 12 mature miRNAs (derived from 7 precursors) associated with the deregulation of their target gene networks. The predictions are enriched for cancer-associated protein-coding and miRNA genes and highlight cis-regulatory mutations associated with the dysregulation of key pathways associated with carcinogenesis. By combining transcriptional and post-transcriptional regulation of gene expression, our method predicts cis-regulatory mutations related to the dysregulation of key gene regulatory networks in cancer patients.

Pleiotropic effects of trans-regulatory mutations on fitness and gene expression.

Variation in gene expression arises from cis- and trans-regulatory mutations, which contribute differentially to expression divergence. We compare the impacts on gene expression and fitness resulting from cis- and trans-regulatory mutations in Saccharomyces cerevisiae, with a focus on the TDH3 gene. We use the effects of cis-regulatory mutations to infer effects of trans-regulatory mutations attributable to impacts beyond the focal gene, revealing a distribution of pleiotropic effects. Cis- and trans-regulatory mutations had different effects on gene expression with pleiotropic effects of trans-regulatory mutants affecting expression of genes both in parallel to and downstream of the focal gene. The more widespread and deleterious effects of trans-regulatory mutations we observed are consistent with their decreasing relative contribution to expression differences over evolutionary time.

Genome-Wide Analysis of Allele-Specific Expression Genes in Pediatric B-Cell Precursor Acute Lymphoblastic Leukemia

Introduction. Pediatric B-cell precursor acute lymphoblastic leukemia (BCP ALL) is the most common pediatric hematological malignancy and it remains an important cause of morbidity and mortality in children. In this study, we performed an allele-specific expression (ASE) analysis of pediatric BCP ALL with the aim to investigate the relationship between cis-regulatory mutations and gene expression patterns.Materials and methods. Twenty-two high hyperdiploid ALL, twenty ETV6/RUNX1-positive ALL, seven TCF3/PBX1-positive ALL and twenty-eight genetically unclassified BCP ALL (“B-other”) were subjected to whole genome sequencing, SNP array analysis and RNA sequencing. The binomial test was applied to estimate the allelic bias of heterozygous exonic single nucleotide variants (SNVs) in the RNA sequencing data against the genomic data. Allelic ratios >2 or <0.5, and P values <0.05 were used to identify allele-specific expression protein-coding genes.Results. We identified 12,693 expressed genes, of which 9,672 (76%) had heterozygous exonic SNVs (informative genes), in multiple BCP ALL samples (n>2) in 77 of the investigated samples. Genes with ASE were distributed evenly across the autosomal chromosomes in the different subtypes with a range of 30 - 165 ASE genes per case (median number, 86). We found that 630 (6.5%) genes displayed ASE in multiple BCP ALL samples (n>2), of which only eight autosomal genes had monoallelic expression in more than two investigated samples. This suggests that ASE and monoallelic expression are relatively rare in BCP ALL. Gene enrichment analyses showed that pathways involving negative regulation of natural killer cell-mediated cytotoxicity and cell proliferation were enriched, indicating that ASE events possibly were associated with the cell proliferation and leukemia progression in BCP ALL. Furthermore, the hematopoiesis pathway was also enriched in ASE genes that showed high allelic expression bias (allelic ratios >2.5), suggesting that ASE genes might be associated with leukemia development. Somatic genomic aberrations that could cause ASE were also investigated in this study. All informative cases with TCF3/PBX1 rearrangement (n=4) showed monoallelic expression of the PBX1 gene, likely associated with the PBX1 truncation caused by the fusion. Additionally, CHP1, located in 15q15.1, displayed ASE in one case with an inversion involving that chromosome band, indicating a potential cis-acting element in the inversion region that regulated the CHP1 gene expression. Notably, PAX5 displayed various patterns of ASE in BCP ALL. One of three cases with PAX5/ZCCHC7 gene rearrangements displayed PAX5 ASE while the other two did not, indicating a potential uncovered cis-regulatory element around the PAX5/ZCCHC7 breakpoints. Furthermore, two cases with no PAX5 gene rearrangement displayed monoallelic expression of the PAX5 gene, suggesting that there are additional epigenetic alterations were also involved in the regulation of PAX5 gene expression in BCP ALL.Conclusions. In this study, we have characterized genes displaying ASE in childhood BCP ALL. Our data provide new insight into pathogenesis of BCP ALL and may be used to identify novel targets for treatment. DisclosuresNo relevant conflicts of interest to declare.

Microsatellites as Agents of Adaptive Change: An RNA-Seq-Based Comparative Study of Transcriptomes from Five Helianthus Species

Mutations that provide environment-dependent selective advantages drive adaptive divergence among species. Many phenotypic differences among related species are more likely to result from gene expression divergence rather than from non-synonymous mutations. In this regard, cis-regulatory mutations play an important part in generating functionally significant variation. Some proposed mechanisms that explore the role of cis-regulatory mutations in gene expression divergence involve microsatellites. Microsatellites exhibit high mutation rates achieved through symmetric or asymmetric mutation processes and are abundant in both coding and non-coding regions in positions that could influence gene function and products. Here we tested the hypothesis that microsatellites contribute to gene expression divergence among species with 50 individuals from five closely related Helianthus species using an RNA-seq approach. Differential expression analyses of the transcriptomes revealed that genes containing microsatellites in non-coding regions (UTRs and introns) are more likely to be differentially expressed among species when compared to genes with microsatellites in the coding regions and transcripts lacking microsatellites. We detected a greater proportion of shared microsatellites in 5′UTRs and coding regions compared to 3′UTRs and non-coding transcripts among Helianthus spp. Furthermore, allele frequency differences measured by pairwise FST at single nucleotide polymorphisms (SNPs), indicate greater genetic divergence in transcripts containing microsatellites compared to those lacking microsatellites. A gene ontology (GO) analysis revealed that microsatellite-containing differentially expressed genes are significantly enriched for GO terms associated with regulation of transcription and transcription factor activity. Collectively, our study provides compelling evidence to support the role of microsatellites in gene expression divergence.

Dissecting cis-regulatory control of quantitative trait variation in a plant stem cell circuit.

Cis-regulatory mutations underlie important crop domestication and improvement traits1,2. However, limited allelic diversity has hindered functional dissection of the large number of cis-regulatory elements and their potential interactions, thereby precluding a deeper understanding of how cis-regulatory variation impacts traits quantitatively. Here, we engineered over 60 promoter alleles in two tomato fruit size genes3,4 to characterize cis-regulatory sequences and study their functional relationships. We found that targeted mutations in conserved promoter sequences of SlCLV3, a repressor of stem cell proliferation5,6, have a weak impact on fruit locule number. Pairwise combinations of these mutations mildly enhance this phenotype, revealing additive and synergistic relationships between conserved regions and further suggesting even higher-order cis-regulatory interactions within the SlCLV3 promoter. In contrast, SlWUS, a positive regulator of stem cell proliferation repressed by SlCLV3 (refs. 5,6), is more tolerant to promoter perturbations. Our results show that complex interplay among cis-regulatory variants can shape quantitative variation, and suggest that empirical dissections of this hidden complexity can guide promoter engineering to predictably modify crop traits.

Conserved pleiotropy of an ancient plant homeobox gene uncovered by cis-regulatory dissection

Divergence of gene function is a hallmark of evolution, but assessing functional divergence over deep time is not trivial. The few alleles available for cross-species studies often fail to expose the entire functional spectrum of genes, potentially obscuring deeply conserved pleiotropic roles. Here, we explore the functional divergence of WUSCHEL HOMEOBOX9 (WOX9), suggested to have species-specific roles in embryo and inflorescence development. Using a cis-regulatory editing drive system, we generate a comprehensive allelic series in tomato, which revealed hidden pleiotropic roles for WOX9. Analysis of accessible chromatin and conserved cis-regulatory sequences identifies the regions responsible for this pleiotropic activity, the functions of which are conserved in groundcherry, a tomato relative. Mimicking these alleles in Arabidopsis, distantly related to tomato and groundcherry, reveals new inflorescence phenotypes, exposing a deeply conserved pleiotropy. We suggest that targeted cis-regulatory mutations can uncover conserved gene functions and reduce undesirable effects in crop improvement.

Cis-regulatory mutations with driver hallmarks in major cancers

SummaryDespite the recent availability of complete genome sequences of tumors from thousands of patients, isolating disease-causing (driver) non-coding mutations from the plethora of somatic variants remains challenging, and only a handful of validated examples exist. By integrating whole-genome sequencing, genetic data, and allele-specific gene expression from TCGA, we identified 320 somatic non-coding mutations that affect gene expression in cis (FDR<0.25). These mutations cluster into 47 cis-regulatory elements that modulate expression of their subject genes through diverse molecular mechanisms. We further show that these mutations have hallmark features of non-coding drivers; namely, that they preferentially disrupt transcription factor binding motifs, are associated with a selective advantage, increased oncogene expression and decreased tumor suppressor expression.

MYB transcription factors drive evolutionary innovations in Arabidopsis fruit trichome patterning.

Both inter- and intra-specific diversity has been described for trichome patterning in fruits, which is presumably involved in plant adaptation. However, the mechanisms underlying this developmental trait have been hardly addressed. Here we examined natural populations of Arabidopsis (Arabidopsis thaliana) that develop trichomes in fruits and pedicels, phenotypes previously not reported in the Arabidopsis genus. Genetic analyses identified five loci, MALAMBRUNO 1-5 (MAU1-5), with MAU2, MAU3, and MAU5 showing strong epistatic interactions that are necessary and sufficient to display these traits. Functional characterization of these three loci revealed cis-regulatory mutations in TRICHOMELESS1 and TRIPTYCHON, as well as a structural mutation in GLABRA1. Therefore, the multiple mechanisms controlled by three MYB transcription factors of the core regulatory network for trichome patterning have jointly been modulated to trigger trichome development in fruits. Furthermore, analyses of worldwide accessions showed that these traits and mutations only occur in a highly differentiated relict lineage from the Iberian Peninsula. In addition, these traits and alleles were associated with low spring precipitation, which suggests that trichome development in fruits and pedicels might be involved in climatic adaptation. Thus, we show that the combination of synergistic mutations in a gene regulatory circuit has driven evolutionary innovations in fruit trichome patterning in Arabidopsis.

Spontaneous homeotic mutants and genetic control of floral organ identity in a ranunculid.

The regulation of floral organ identity was investigated using a forward genetic approach in five floral homeotic mutants of Thalictrum, a noncore eudicot. We hypothesized that these mutants carry defects in the floral patterning genes. Mutant characterization comprised comparative floral morphology and organ identity gene expression at early and late developmental stages, followed by sequence analysis of coding and intronic regions to identify transcription factor binding sites and protein-protein interaction (PPI) motifs. Mutants exhibited altered expression of floral MADS-box genes, which further informed the function of paralogs arising from gene duplications not found in reference model systems. The ensuing modified BCEmodels for the mutants supported instances of neofunctionalization (e.g., B-class genes expressed ectopically in sepals), partial redundancy (E-class), or subfunctionalization (C-class) of paralogs. A lack of deleterious mutations in the coding regions of candidate floral MADS-box genes suggested that cis-regulatory or trans-acting mutations are at play. Consistent with this hypothesis, double-flower mutants had transposon insertions or showed signs of transposon activity in the regulatory intron of AGAMOUS (AG) orthologs. Single amino acid substitutions were also found, yet they did not fall on any of the identified DNA binding or PPI motifs.In conclusion, we present evidence suggesting that transposon activity and regulatory mutations in floral homeotic genes likely underlie the striking phenotypes of these Thalictrum floral homeotic mutants.

Systematic Evaluation of Somatic Cis-Regulatory Mutations in Follicular Lymphoma

Background: Follicular lymphoma (FL) is an incurable indolent B cell malignancy characterized in the majority of cases by the t(14;18) translocation. While the mutational landscape of the coding genome is nearing completion, less is known about the characteristics of its noncoding genome. Our expectation is that the distribution of noncoding mutations will be non-random, determined by epigenomics features, such as chromatin modification and accessibility. Our strategy is therefore to integrate whole genome epigenomic marks and mutations in order to enrich for variants with regulatory potential and identify unique mutational processes specific to thesecis-regulatory elements (CREs).Allele-specific expression (ASE) patterns allow further refinement to resolve functional CREs and bona fide mutations associated with changes in gene expression. Methods: The H3K27Ac consensus CREs were determined using the ChIP-Seq data of 9 FL patient primary cells (Koues et al., Immunity2015). DNase I-hypersensitive sites (DHSs) and Hi-C of the B-lymphocyte cell line GM12878 was downloaded from ENCODE. Whole genome sequencing and RNA-Seq of 70 FL patients with relative high tumour cellularity (≥30% for DNA tumour purity and ≥25% for RNA B-cell content) were obtained from the International Cancer Genome Consortium project ICGC MMML-Seq. The mutation rate within CREs and DHSs in comparison to their flanking sequences was estimated using a previous pipeline (Sabarinathan et al., Nature2016). We further developed cis-ASE, an integrated analytic pipeline for the identification of recurrent ASE genes, and significantly associated CREs and mutations (Fig1.A). Results: In total 1.04 million noncoding mutations, corresponding to 14.8K mutations per sample with a median of 9,991 noncoding mutations were identified in our series of 70 FL samples. 62K (6.0%) mutations were located within H3K27Ac bound CREs and there was an elevated mutation rate in H3K27Ac CREs compared to the corresponding flanking regions of 1kb up and downstream (χ² test p = 1.95e-19, Fig1.B). For DHSs, we observed the opposite pattern, with a lower mutation rate in DHSs than in the flanking regions (p = 0.04, Fig1.C), most likely reflecting the higher accessibility to global genome repair machinery in DHSs in relation to flanking sequences. Dividing mutations into high (≥0.3) and low (&amp;lt;0.3) adjusted variant allele frequency (VAF) groups (accounting for tumour purity), we observed significantly higher mutation rate in CREs than in the flanking sequences, that was specific for mutations with higher VAFs (p= 6.95e−38), as the difference was much weaker for low VAF mutations (p= 0.02). Mutation signatures 6 and 20, linked to defective DNA mismatch repair, were highly enriched for mutations within H3K27Ac CREs (44%) versus other regions outside (27%) (p&amp;lt; 0.001). ASE was assessed using 45.6k informative SNPs (1.7%) per sample wherein matched genotype data was available from WGS and RNA-Seq profiles. Cis-ASE identified on average 480 ASE genes per sample (binomial test, adjusted p&amp;lt;0.05), corresponding to 1,943 recurrent ASE genes with a minimum threshold of ≥5 samples. These ASE events were not significantly influenced by local copy number changes or promoter methylation. KEGG pathway analysis of recurrent ASE genes identified adherens junction, B cell receptor signaling pathway and Fc gamma R-mediated phagocytosis as the most overrepresented pathways. Cis-ASE further identified 18 ASE-CRE interactions where CRE mutations were significantly correlated with an imbalance in elevated alternative allele ratios. These ASE genes included recognized lymphoma related genes including BCL2, STAT6, MAF, and additional novel targets. The pattern of aberrant somatic hypermutation (aSHM) was assessed for these 18 CREs, and we narrowed down to 15 significant ASE-CRE interactions not strongly affected by aSHM, consisting of 92 bona fide mutation candidates present in 37 FL samples of our cohort (52.9%). Conclusion: Our study identified unique mutation processes operating in H3K27Ac CREs. Using an integrated genomic approach of whole genome mutations, chromatin marks and RNA-Seq, we explored ASE-CRE interactions, and identified 15 H3K27Ac bound CREs enriched for cis-regulatory mutations significantly associated with ASE and total expression of targeted genes, deserving for further exploration to enrich our understanding of FL noncoding genome. Disclosures Okosun: BeiGene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead Sciences: Research Funding.

Allele-specific expression is widespread in Bos indicus muscle and affects meat quality candidate genes

Differences between the expression of the two alleles of a gene are known as allele-specific expression (ASE), a common event in the transcriptome of mammals. Despite ASE being a source of phenotypic variation, its occurrence and effects on genetic prediction of economically relevant traits are still unexplored in bovines. Furthermore, as ASE events are likely driven by cis-regulatory mutations, scanning them throughout the bovine genome represents a significant step to elucidate the mechanisms underlying gene expression regulation. To address this question in a Bos indicus population, we built the ASE profile of the skeletal muscle tissue of 190 Nelore steers, using RNA sequencing data and SNPs genotypes from the Illumina BovineHD BeadChip (770 K bp). After quality control, 820 SNPs showed at least one sample with ASE. These SNPs were widespread among all autosomal chromosomes, being 32.01% found in 3′UTR and 31.41% in coding regions. We observed a considerable variation of ASE profile among individuals, which highlighted the need for biological replicates in ASE studies. Functional analysis revealed that ASE genes play critical biological functions in the development and maintenance of muscle tissue. Additionally, some of these genes were previously reported as associated with beef production and quality traits in livestock, thus indicating a possible source of bias on genomic predictions for these traits.

ENO regulates tomato fruit size through the floral meristem development network

A dramatic evolution of fruit size has accompanied the domestication and improvement of fruit-bearing crop species. In tomato (Solanum lycopersicum), naturally occurring cis-regulatory mutations in the genes of the CLAVATA-WUSCHEL signaling pathway have led to a significant increase in fruit size generating enlarged meristems that lead to flowers with extra organs and bigger fruits. In this work, by combining mapping-by-sequencing and CRISPR/Cas9 genome editing methods, we isolated EXCESSIVE NUMBER OF FLORAL ORGANS (ENO), an AP2/ERF transcription factor which regulates floral meristem activity. Thus, the ENO gene mutation gives rise to plants that yield larger multilocular fruits due to an increased size of the floral meristem. Genetic analyses indicate that eno exhibits synergistic effects with mutations at the LOCULE NUMBER (encoding SlWUS) and FASCIATED (encoding SlCLV3) loci, two central players in the evolution of fruit size in the domestication of cultivated tomatoes. Our findings reveal that an eno mutation causes a substantial expansion of SlWUS expression domains in a flower-specific manner. In vitro binding results show that ENO is able to interact with the GGC-box cis-regulatory element within the SlWUS promoter region, suggesting that ENO directly regulates SlWUS expression domains to maintain floral stem-cell homeostasis. Furthermore, the study of natural allelic variation of the ENO locus proved that a cis-regulatory mutation in the promoter of ENO had been targeted by positive selection during the domestication process, setting up the background for significant increases in fruit locule number and fruit size in modern tomatoes.

Evolutionary Potential of Cis-Regulatory Mutations to Cause Rapid Changes in Transcription Factor Binding.

Transcriptional regulation is crucial for all biological processes and well investigated at the molecular level for a wide range of organisms. However, it is quite unclear how innovations, such as the activity of a novel regulatory element, evolve. In the case of transcription factor (TF) binding, both a novel TF and a novel-binding site would need to evolve concertedly. Since promiscuous functions have recently been identified as important intermediate steps in creating novel specific functions in many areas such as enzyme evolution and protein–protein interactions, we ask here how promiscuous binding of TFs to TF-binding sites (TFBSs) affects the robustness and evolvability of this tightly regulated system. Specifically, we investigate the binding behavior of several hundred TFs from different species at unprecedented breadth. Our results illustrate multiple aspects of TF-binding interactions, ranging from correlations between the strength of the interaction bond and specificity, to preferences regarding TFBS nucleotide composition in relation to both domains and binding specificity. We identified a subset of high A/T binding motifs. Motifs in this subset had many functionally neutral one-error mutants, and were bound by multiple different binding domains. Our results indicate that, especially for some TF–TFBS associations, low binding specificity confers high degrees of evolvability, that is that few mutations facilitate rapid changes in transcriptional regulation, in particular for large and old TF families. In this study we identify binding motifs exhibiting behavior indicating high evolutionary potential for innovations in transcriptional regulation.

The Identification and Interpretation of cis-Regulatory Noncoding Mutations in Cancer.

In the need to characterise the genomic landscape of cancers and to establish novel biomarkers and therapeutic targets, studies have largely focused on the identification of driver mutations within the protein-coding gene regions, where the most pathogenic alterations are known to occur. However, the noncoding genome is significantly larger than its protein-coding counterpart, and evidence reveals that regulatory sequences also harbour functional mutations that significantly affect the regulation of genes and pathways implicated in cancer. Due to the sheer number of noncoding mutations (NCMs) and the limited knowledge of regulatory element functionality in cancer genomes, differentiating pathogenic mutations from background passenger noise is particularly challenging technically and computationally. Here we review various up-to-date high-throughput sequencing data/studies and in silico methods that can be employed to interrogate the noncoding genome. We aim to provide an overview of available data resources as well as computational and molecular techniques that can help and guide the search for functional NCMs in cancer genomes.