About one in 31 (3.2%) children in the United States has been identified with Autism Spectrum Disorder. Globally, the World Health Organization estimates that around one in 100 children have autism. From an evolutionary perspective, many scientist believe that autism and schizophrenia may be unique to humans. It is very rare to find behaviors associated with the disorders in non-human primates. In addition, behaviors associated with those disorders generally involve cognitive traits like speech production and comprehension that are either unique to or much more sophisticated in humans.
With the development of single cell RNA-sequencing, it became possible to define specific cell types across the brain. As investigators published more large-scale datasets, it became clear that the mammalian brain contains a staggering array of neuronal cell types. In addition, large-scale sequencing studies have identified extensive genetic changes in the brain unique to Homo sapiens—genomic elements that did not change much in mammalian evolution in general but evolved rapidly in humans.
While previous investigations found that some cell types have remained more consistent throughout evolution than others, the factors driving these differences in evolutionary rate remain unknown. Researchers at Stanford University have investigated recently published cross-species single-nucleus RNA sequencing datasets from three distinct regions of the mammalian brain. They found that the most abundant type of outer-layer brain neurons, L2/3 IT neurons, evolved exceptionally quickly in the human lineage compared to other apes. Surprisingly, this accelerated evolution was accompanied by dramatic changes in autism-associated genes, which was likely driven by natural selection specific to the human lineage. The researchers here explain that although the results strongly suggest natural selection for Autism Spectrum Disorder-associated genes, the reason why this conferred fitness benefits to human ancestors is unclear.
More common neuronal cell types evolve more slowly than rare types

a) Rationale for the hypothesis that more common neuronal types might evolve more slowly than rarer types. A gene expression change in a common cell type has a large negative effect on fitness, whereas the same change in a rarer cell type has a smaller effect. Made with BioRender. b) Left: outline of our data analysis strategy. SnRNA-seq from the MTG of five species (14 subclasses of neurons) was used to estimate each cell type’s proportion and pairwise divergence between species. Right: plot showing the correlation between the neuronal subclass proportion (log10 scale on the x-axis) and the subclass-specific divergence between the human and the marmoset in the MTG. A representative iteration from 100 independent down-samplings is shown. Spearman’s ρ and P-value shown are the median across 100 independent down-samplings (see Materials and Methods for details). The line and shaded region are the line of best fit from a linear regression and 95% confidence interval, respectively. c) Same as b), but snRNA-seq from the DLPFC (17 subclasses of neurons) of four species was analyzed. d) Same as b), but snRNA-seq from M1 (12 subclasses of neurons) of three species was analyzed.
Answering this is difficult because we do not know what human-specific features of cognition, brain anatomy, and neuronal wiring gave human ancestors a fitness advantage, but the investigators here speculate that many of these genes are associated with developmental delay, so their evolution could have contributed to the slower postnatal brain development in humans compared to chimpanzees. Furthermore, the capacity for speech production and comprehension unique to humans is often affected by autism and schizophrenia.
It’s possible that the rapid evolution of autism-linked genes conferred a fitness advantage by slowing postnatal brain development or increasing the capacity for language; the lengthier brain development time in early childhood was beneficial to human evolution because it led to more complex thinking.
“Our results suggest that some of the same genetic changes that make the human brain unique also made humans more neurodiverse,” said the paper’s lead author, Alexander L. Starr.
Source – Oxford University Press USA
About one in 31 (3.2%) children in the United States has been identified with Autism Spectrum Disorder. Globally, the World Health Organization estimates that around one in 100 children have autism. From an evolutionary perspective, many scientist believe that autism and schizophrenia may be unique to humans. It is very rare to find behaviors associated with the disorders in non-human primates. In addition, behaviors associated with those disorders generally involve cognitive traits like speech production and comprehension that are either unique to or much more sophisticated in humans.
With the development of single cell RNA-sequencing, it became possible to define specific cell types across the brain. As investigators published more large-scale datasets, it became clear that the mammalian brain contains a staggering array of neuronal cell types. In addition, large-scale sequencing studies have identified extensive genetic changes in the brain unique to Homo sapiens—genomic elements that did not change much in mammalian evolution in general but evolved rapidly in humans.
While previous investigations found that some cell types have remained more consistent throughout evolution than others, the factors driving these differences in evolutionary rate remain unknown. Researchers at Stanford University have investigated recently published cross-species single-nucleus RNA sequencing datasets from three distinct regions of the mammalian brain. They found that the most abundant type of outer-layer brain neurons, L2/3 IT neurons, evolved exceptionally quickly in the human lineage compared to other apes. Surprisingly, this accelerated evolution was accompanied by dramatic changes in autism-associated genes, which was likely driven by natural selection specific to the human lineage. The researchers here explain that although the results strongly suggest natural selection for Autism Spectrum Disorder-associated genes, the reason why this conferred fitness benefits to human ancestors is unclear.
More common neuronal cell types evolve more slowly than rare types
a) Rationale for the hypothesis that more common neuronal types might evolve more slowly than rarer types. A gene expression change in a common cell type has a large negative effect on fitness, whereas the same change in a rarer cell type has a smaller effect. Made with BioRender. b) Left: outline of our data analysis strategy. SnRNA-seq from the MTG of five species (14 subclasses of neurons) was used to estimate each cell type’s proportion and pairwise divergence between species. Right: plot showing the correlation between the neuronal subclass proportion (log10 scale on the x-axis) and the subclass-specific divergence between the human and the marmoset in the MTG. A representative iteration from 100 independent down-samplings is shown. Spearman’s ρ and P-value shown are the median across 100 independent down-samplings (see Materials and Methods for details). The line and shaded region are the line of best fit from a linear regression and 95% confidence interval, respectively. c) Same as b), but snRNA-seq from the DLPFC (17 subclasses of neurons) of four species was analyzed. d) Same as b), but snRNA-seq from M1 (12 subclasses of neurons) of three species was analyzed.
Answering this is difficult because we do not know what human-specific features of cognition, brain anatomy, and neuronal wiring gave human ancestors a fitness advantage, but the investigators here speculate that many of these genes are associated with developmental delay, so their evolution could have contributed to the slower postnatal brain development in humans compared to chimpanzees. Furthermore, the capacity for speech production and comprehension unique to humans is often affected by autism and schizophrenia.
It’s possible that the rapid evolution of autism-linked genes conferred a fitness advantage by slowing postnatal brain development or increasing the capacity for language; the lengthier brain development time in early childhood was beneficial to human evolution because it led to more complex thinking.
Source – Oxford University Press USA
Starr A, Fraser H. (2025) A general principle of neuronal evolution reveals a human-accelerated neuron type potentially underlying the high prevalence of autism in humans. Molecular Biology and Evolution 42(9): msaf189. [article]
Related Posts
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
About one in 31 (3.2%) children in the United States has been identified with Autism Spectrum Disorder. Globally, the World Health Organization estimates that around one in 100 children have autism. From an evolutionary perspective, many scientist believe that autism and schizophrenia may be unique to humans. It is very rare to find behaviors associated with the disorders in non-human primates. In addition, behaviors associated with those disorders generally involve cognitive traits like speech production and comprehension that are either unique to or much more sophisticated in humans.
With the development of single cell RNA-sequencing, it became possible to define specific cell types across the brain. As investigators published more large-scale datasets, it became clear that the mammalian brain contains a staggering array of neuronal cell types. In addition, large-scale sequencing studies have identified extensive genetic changes in the brain unique to Homo sapiens—genomic elements that did not change much in mammalian evolution in general but evolved rapidly in humans.
While previous investigations found that some cell types have remained more consistent throughout evolution than others, the factors driving these differences in evolutionary rate remain unknown. Researchers at Stanford University have investigated recently published cross-species single-nucleus RNA sequencing datasets from three distinct regions of the mammalian brain. They found that the most abundant type of outer-layer brain neurons, L2/3 IT neurons, evolved exceptionally quickly in the human lineage compared to other apes. Surprisingly, this accelerated evolution was accompanied by dramatic changes in autism-associated genes, which was likely driven by natural selection specific to the human lineage. The researchers here explain that although the results strongly suggest natural selection for Autism Spectrum Disorder-associated genes, the reason why this conferred fitness benefits to human ancestors is unclear.
More common neuronal cell types evolve more slowly than rare types
a) Rationale for the hypothesis that more common neuronal types might evolve more slowly than rarer types. A gene expression change in a common cell type has a large negative effect on fitness, whereas the same change in a rarer cell type has a smaller effect. Made with BioRender. b) Left: outline of our data analysis strategy. SnRNA-seq from the MTG of five species (14 subclasses of neurons) was used to estimate each cell type’s proportion and pairwise divergence between species. Right: plot showing the correlation between the neuronal subclass proportion (log10 scale on the x-axis) and the subclass-specific divergence between the human and the marmoset in the MTG. A representative iteration from 100 independent down-samplings is shown. Spearman’s ρ and P-value shown are the median across 100 independent down-samplings (see Materials and Methods for details). The line and shaded region are the line of best fit from a linear regression and 95% confidence interval, respectively. c) Same as b), but snRNA-seq from the DLPFC (17 subclasses of neurons) of four species was analyzed. d) Same as b), but snRNA-seq from M1 (12 subclasses of neurons) of three species was analyzed.
Answering this is difficult because we do not know what human-specific features of cognition, brain anatomy, and neuronal wiring gave human ancestors a fitness advantage, but the investigators here speculate that many of these genes are associated with developmental delay, so their evolution could have contributed to the slower postnatal brain development in humans compared to chimpanzees. Furthermore, the capacity for speech production and comprehension unique to humans is often affected by autism and schizophrenia.
It’s possible that the rapid evolution of autism-linked genes conferred a fitness advantage by slowing postnatal brain development or increasing the capacity for language; the lengthier brain development time in early childhood was beneficial to human evolution because it led to more complex thinking.
Source – Oxford University Press USA
Starr A, Fraser H. (2025) A general principle of neuronal evolution reveals a human-accelerated neuron type potentially underlying the high prevalence of autism in humans. Molecular Biology and Evolution 42(9): msaf189. [article]
Related Posts
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services