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Maternal effect killing by a supergene controlling ant social organization

Significance Supergenes are clusters of linked loci producing complex alternative phenotypes. In a series of experiments, we demonstrate that a supergene controlling ant social organization distorts Mendel’s laws to enhance its transmission to adult offspring. One supergene haplotype is specific to multiple-queen colonies. This haplotype kills half of the offspring from heterozygous mothers—all eggs that do not inherit the haplotype fail to hatch. Hence, the haplotype associated with multiple-queen colonies is a selfish genetic element favoring its transmission to the detriment of the alternate haplotype associated with single-queen colonies. Selfish gene drive by a large group of linked genes impacts the social organization of ant colonies, which illustrates the intricate multilevel effects of supergenes. Supergenes underlie striking polymorphisms in nature, yet the evolutionary mechanisms by which they arise and persist remain enigmatic. These clusters of linked loci can spread in populations because they captured coadapted alleles or by selfishly distorting the laws of Mendelian inheritance. Here, we show that the supergene haplotype associated with multiple-queen colonies in Alpine silver ants is a maternal effect killer. All eggs from heterozygous queens failed to hatch when they did not inherit this haplotype. Hence, the haplotype specific to multiple-queen colonies is a selfish genetic element that enhances its own transmission by causing developmental arrest of progeny that do not carry it. At the population level, such transmission ratio distortion favors the spread of multiple-queen colonies, to the detriment of the alternative haplotype associated with single-queen colonies. Hence, selfish gene drive by one haplotype will impact the evolutionary dynamics of alternative forms of colony social organization. This killer hidden in a social supergene shows that large nonrecombining genomic regions are prone to cause multifarious effects across levels of biological organization.