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Biology subjects

Fong, S. L.

Publications and source records attributed to Fong, S. L..

3 recordsLinked to original sources

Function and constraint in enhancers with multiple evolutionary origins

MotivationThousands of human gene regulatory enhancers are composed of sequences with multiple evolutionary origins. These evolutionarily "complex" enhancers consist of older "core" sequences and younger "derived" sequences. However, the functional relationship between the sequences of different evolutionary origins within complex enhancers is poorly understood. ResultsWe evaluated the function, selective pressures, and sequence variation across core and derived components of human complex enhancers. We find that both components are older than expected from the genomic background, and cores are enriched for derived sequences of similar evolutionary ages. Both components show strong evidence of biochemical activity in massively parallel report assays (MPRAs). However, core and derived sequences have distinct transcription factor (TF) binding preferences that are largely stable across evolutionary origins. Given these signatures of function, both core and derived sequences have substantial evidence of purifying selection. Nonetheless, derived sequences exhibit weaker purifying selection than adjacent cores. Derived sequences also tolerate more common genetic variation and are enriched compared to cores for eQTL associated with gene expression variability in human populations. ConclusionsBoth core and derived sequences have strong evidence of gene regulatory function, but derived sequences have distinct constraint profiles, TF binding preferences, and tolerance to variation compared with cores. We propose that the step-wise integration of younger derived and older core sequences has generated regulatory substrates with robust activity and the potential for functional variation. Our analyses demonstrate that synthesizing study of enhancer evolution and function can aid interpretation of regulatory sequence activity and functional variation across human populations. Significance StatementThousands of human gene regulatory enhancers are mosaics of sequences from multiple evolutionary origins, yet how these different segments contribute to enhancer function is poorly understood. By dissecting their regulatory functions, transcription factor binding, constraint, and human genetic variation, we show that both older "core" and younger "derived" sequences in complex enhancers have strong evidence of gene regulatory function, but derived sequences are more likely to harbor genetic variants that influence function. Together, our results support a model in which the integration of sequences of different origins generates regulatory substrates with robust activity and the potential for functional variation.

evolutionary biology↗

Modeling the evolutionary architectures of human enhancer sequences reveals distinct origins, functions, and associations with human-trait variation

MotivationDespite the importance of gene regulatory enhancers in human biology and evolution, we lack a comprehensive evolutionary model of enhancer sequence architecture and function. This substantially limits our understanding of the genetic basis for divergence between species and our ability to interpret the effects of non-coding variants on human traits. ResultsTo explore enhancer sequence evolution and its relationship to regulatory function, we traced the evolutionary origins of human sequences with enhancer activity defined by eRNA from diverse tissues and cellular contexts. The majority of enhancers are sequences of a single evolutionary age ("simple" enhancer architectures), likely indicating constraint against genomic rearrangements. A minority of enhancers are composites of sequences of multiple evolutionary ages ("complex" enhancer architectures). Compared to simple enhancers, complex enhancers are older, more pleiotropic, and more active across species. Genetic variants within complex enhancers are also less likely to have effects on human traits and biochemical activity. Transposable-element-derived sequences have made diverse contributions to enhancer architectures; some have nucleated enhancers with simple architectures, while others have remodeled older sequences to create complex regulatory architectures. ConclusionsBased on these results, we propose a framework for modeling enhancer sequence architecture and evolution. Applying this framework to human enhancer sequences reveals multiple, distinct trajectories of human regulatory sequence evolution. Considering these evolutionary histories can aid interpretation of the effects of variants on enhancer function.

evolutionary biology↗

Accounting for diverse evolutionary forces reveals the mosaic nature of selection on genomic regions associated with human preterm birth

Human pregnancy requires the coordinated function of multiple tissues in both mother and fetus and has evolved in concert with major human adaptations. As a result, pregnancy-associated phenotypes and related disorders are genetically complex and have likely been sculpted by diverse evolutionary forces. However, there is no framework to comprehensively evaluate how these traits evolved or to explore the relationship of evolutionary signatures on trait-associated genetic variants to molecular function. Here we develop an approach to test for signatures of diverse evolutionary forces, including multiple types of selection, and apply it to genomic regions associated with spontaneous preterm birth (sPTB), a complex disorder of global health concern. We find that sPTB-associated regions harbor diverse evolutionary signatures including evolutionary sequence conservation (consistent with the action of negative selection), excess population differentiation (local adaptation), accelerated evolution (positive selection), and balanced polymorphism (balancing selection). Furthermore, these genomic regions show diverse functional characteristics which enables us to use evolutionary and molecular lines of evidence to develop hypotheses about how these genomic regions contribute to sPTB risk. In summary, we introduce an approach for inferring the spectrum of evolutionary forces acting on genomic regions associated with complex disorders. When applied to sPTB-associated genomic regions, this approach both improves our understanding of the potential roles of these regions in pathology and illuminates the mosaic nature of evolutionary forces acting on genomic regions associated with sPTB.

evolutionary biology↗