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Abstract Genes within the secretory calcium-binding phosphoprotein locus diversified along with the formation of a calcified skeleton in vertebrates, the emergence of tooth enamel in fish, and the introduction of lactation in mammals, at each stage marking major transitions in life history. The secretory calcium-binding phosphoprotein (SCPP) locus also harbors genes expressed primarily and abundantly in the saliva of humans. Here, we explored the phylogeny and evolution of the saliva-related SCPP genes by harnessing available genomic and transcriptomic resources. We observe extensive diversification of SCPP genes within mammals, driven by gene duplications and losses, with the most pronounced changes occurring in the SCPP genes that are expressed in salivary glands. When comparing rodent and human SCPP genes, we concluded that regulatory shifts and gene turnover events likely facilitated the accelerated gain of salivary gland expression. In primate genomes, we found more recent duplication events that affected genes coding for proteins secreted in saliva. Several saliva-related SCPP genes in the primate lineage show signatures of positive selection, while the other genes in the SCPP locus remain conserved. Our results position saliva-related SCPP genes as highly malleable to evolutionary innovation. Variations shaped by dietary and pathogenic pressures likely influenced the functional properties of saliva proteins, impacting metabolic and immune-related traits in oral health among primates, including humans. 

With the recent availability of tissue-specific gene expression data, e.g., provided by the GTEx Consortium, there is interest in comparing gene co-expression patterns across tissues. One promising approach to this problem is to use a multilayer network analysis framework and perform multilayer community detection. Communities in gene co-expression networks reveal groups of genes similarly expressed across individuals, potentially involved in related biological processes responding to specific environmental stimuli or sharing common regulatory variations. We construct a multilayer network in which each of the four layers is an exocrine gland tissue-specific gene co-expression network. We develop methods for multilayer community detection with correlation matrix input and an appropriate null model. Our correlation matrix input method identifies five groups of genes that are similarly co-expressed in multiple tissues (a community that spans multiple layers, which we call a generalist community) and two groups of genes that are co-expressed in just one tissue (a community that lies primarily within just one layer, which we call a specialist community). We further found gene co-expression communities where the genes physically cluster across the genome significantly more than expected by chance (on chromosomes 1 and 11). This clustering hints at underlying regulatory elements determining similar expression patterns across individuals and cell types. We suggest thatKRTAP3-1,KRTAP3-3, andKRTAP3-5share regulatory elements in skin and pancreas. Furthermore, we find thatCELA3AandCELA3Bshare associated expression quantitative trait loci in the pancreas. The results indicate that our multilayer community detection method for correlation matrix input extracts biologically interesting communities of genes. 

Previous studies suggested that the copy number of the human salivary amylase gene,AMY1, correlates with starch-rich diets. However, evolutionary analyses are hampered by the absence of accurate, sequence-resolved haplotype variation maps. We identified 30 structurally distinct haplotypes at nucleotide resolution among 98 present-day humans, revealing that the coding sequences ofAMY1copies are evolving under negative selection. Genomic analyses of these haplotypes in archaic hominins and ancient human genomes suggest that a common three-copy haplotype, dating as far back as 800,000 years ago, has seeded rapidly evolving rearrangements through recurrent nonallelic homologous recombination. Additionally, haplotypes with more than threeAMY1copies have significantly increased in frequency among European farmers over the past 4000 years, potentially as an adaptive response to increased starch digestion. 

Necroptosis is a type of programmed cell death. It is characterized by membrane permeabilization and is associated with the release of intracellular components due to compromised membrane integrity which induces a strong inflammatory response. We recently showed that the accumulation of very long chain fatty acids (VLCFAs) contributes to membrane permeabilization during necroptosis. However, the mechanisms that result in the accumulation of these cytotoxic lipids remain unknown. Using comparative transcriptomics and digital PCR validations, we found that several target genes of sterol regulatory element-binding proteins (SREBPs) were upregulated during necroptosis, suggesting that they might be responsible for the accumulation of VLCFA in this process. We demonstrated that activation of SREBPs during necroptosis exacerbates the permeability of the plasma membrane and cell death. Consistent with these observations, targeting sterol regulatory element-binding protein cleavage-activating protein (SCAP), a protein involved in SREBP activation, reversed the accumulation of VLCFAs, and restored cell death and membrane permeabilization during necroptosis. Collectively, our results highlight a role for SREBP in regulating lipid changes during necroptosis and suggest SREBP-mediated lipid remodeling as a potential target for therapeutics to reduce membrane permeabilization during necroptosis. 

The persistence of versions of genes that cause severe disease in human populations has long perplexed scientists. It is common for many versions of a gene to exist. But scientists expect that over time natural selection will eliminate versions of genes harmful to human health. Sometimes, there are good reasons that a disease-causing gene may persist. For example, having two copies of a particular gene variant causes a condition, called sickle cell disease. But having one sickle cell-causing copy of the gene and one non-disease-causing copy protects against malaria. As a result, the version of the gene that causes sickle cell is more common in people from areas where malaria is prevalent despite the risks to people who end up with two copies. Scientists call this phenomenon balancing selection because trade-offs in the gene’s benefits and risks cause it to persist in the population. Aqil et al. show that balancing selection has likely caused many ancient gene variants to persist in human populations. In the experiments, Aqil et al. scoured the genomes of hundreds of modern humans from around the world and four groups of ancient human ancestors, including Neanderthals and Denisovans. The experiments looked for structural changes in genes, like deletions, that date back to more than 700,000 years ago – before modern humans split from their ancestors. They found large numbers of such ancient genes in modern humans. Using computer modeling, Aqil et al. showed that these ancient genes likely persist because of balancing selection. Many of these ancient genes regulate the immune response and metabolism. These genes may protect against infectious diseases outbreaks and starvation, which have occurred periodically throughout human history. But these same genes may cause immune or metabolic diseases in modern humans not currently facing these threats. The experiments show how such biological trade-offs have shaped human evolution and reveal that modern human populations, regardless of race or region of origin, share the same genetic variation that already our ancestors carried within them. 

An increasing body of archaeological and genomic evidence has hinted at a complex settlement process of the Americas by humans. This is especially true for South America, where unexpected ancestral signals have raised perplexing scenarios for the early migrations into different regions of the continent. Here, we present ancient human genomes from the archaeologically rich Northeast Brazil and compare them to ancient and present-day genomic data. We find a distinct relationship between ancient genomes from Northeast Brazil, Lagoa Santa, Uruguay and Panama, representing evidence for ancient migration routes along South America's Atlantic coast. To further add to the existing complexity, we also detect greater Denisovan than Neanderthal ancestry in ancient Uruguay and Panama individuals. Moreover, we find a strong Australasian signal in an ancient genome from Panama. This work sheds light on the deep demographic history of eastern South America and presents a starting point for future fine-scale investigations on the regional level.