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genomics

Abstractions blog

What a Newfound Kingdom Means for the Tree of Life

Neither animal, plant, fungus nor familiar protozoan, a strange microbe that sits in its own “supra-kingdom” of life foretells incredible biodiversity yet to be discovered by new sequencing technologies.

Art for "Adaptations or Neutral Changes? Evolutionary Theory Seeks a Balance"
evolution

Theorists Debate How ‘Neutral’ Evolution Really Is

For 50 years, evolutionary theory has emphasized the importance of neutral mutations rather than adaptive ones at the level of DNA. Real genomic data challenges that assumption.

Art for "‘Broadband’ Networks of Viruses May Help Bacteria Evolve Faster"
microbiology

‘Broadband’ Networks of Viruses May Help Bacteria Evolve Faster

A newly discovered mechanism may enable viruses to shuttle genes between bacteria 1,000 times as often as was thought — making them a major force in those cells’ evolution.

Photo of mice
Abstractions blog

Unexpected Diversity Found in 16 New Lab Mouse Genomes

The availability of 16 new mouse genomes will help accelerate research into the genetic underpinnings of human traits and diseases.

Photo of Trichoplax adhaerens
genomics

World’s Simplest Animal Reveals Hidden Diversity

The first animal genus defined purely by genetic characters represents a new era for the sorting and naming of animals.

Photo of an axolotl
developmental biology

Salamander’s Genome Guards Secrets of Limb Regrowth

With a fully sequenced genome in hand, scientists hope they are finally poised to learn how axolotls regenerate lost body parts.

Illustration for "Theory Suggests That All Genes Affect Every Complex Trait"
genomics

Theory Suggests That All Genes Affect Every Complex Trait

The more closely geneticists look at complex traits and diseases, the harder it gets to find active genes that don’t play some part in them.

Illustration for "How Many Genes Do Cells Need? Maybe Almost All of Them"
genomics

How Many Genes Do Cells Need? Maybe Almost All of Them

An ambitious study in yeast shows that the health of cells depends on the highly intertwined effects of many genes, few of which can be deleted together without consequence.

520px photo of Barbara Engelhardt
Q&A

A Statistical Search for Genomic Truths

The computer scientist Barbara Engelhardt develops machine-learning models and methods to scour human genomes for the elusive causes and mechanisms of disease.