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The human gut microbiome matures towards the adult composition during the first years of life and is implicated in early immune development. Here, we investigate the effects of microbial genomic diversity on gut microbiome development using integrated early childhood data sets collected in the DIABIMMUNE study in Finland, Estonia and Russian Karelia. We show that gut microbial diversity is associated with household location and linear growth of children. Single nucleotide polymorphism- and metagenomic assembly-based strain tracking revealed large and highly dynamic microbial pangenomes, especially in the genus Bacteroides, in which we identified evidence of variability deriving from Bacteroides-targeting bacteriophages. Our analyses revealed functional consequences of strain diversity; only 10% of Finnish infants harboured Bifidobacterium longum subsp. infantis, a subspecies specialized in human milk metabolism, whereas Russian infants commonly maintained a probiotic Bifidobacterium bifidum strain in infancy. Groups of bacteria contributing to diverse, characterized metabolic pathways converged to highly subject-specific configurations over the first two years of life. This longitudinal study extends the current view of early gut microbial community assembly based on strain-level genomic variation. Integration of longitudinal gut metagenomic datasets from children in Finland, Estonia and Russian Karelia reveals high strain-level diversity, which consequently impacts the functional capabilities of the early life microbiome.

In the version of this Article originally published, in the first sentence of the second paragraph of the Discussion section, the word "operingrationally" should have read "operationally". This has now been amended in all versions of the Article.

Background Y chromosomes are responsible for the initiation of male development, male fertility, and other male-related functions in diverse species. However, Y genes are rarely characterized outside a few model species due to the arduous nature of studying the repeat-rich Y. Results The chromosome quotient (CQ) is a novel approach to systematically discover Y chromosome genes. In the CQ method, genomic DNA from males and females is sequenced independently and aligned to candidate reference sequences. The female to male ratio of the number of alignments to a reference sequence, a parameter called the chromosome quotient (CQ), is used to determine whether the sequence is Y-linked. Using the CQ method, we successfully identified known Y sequences from Homo sapiens and Drosophila melanogaster. The CQ method facilitated the discovery of Y chromosome sequences from the malaria mosquitoes Anopheles stephensi and An. gambiae. Comparisons to transcriptome sequence data with blastn led to the discovery of six Anopheles Y genes, three from each species. All six genes are expressed in the early embryo. Two of the three An. stephensi Y genes were recently acquired from the autosomes or the X. Although An. stephensi and An. gambiae belong to the same subgenus, we found no evidence of Y genes shared between the species. Conclusions The CQ method can reliably identify Y chromosome sequences using the ratio of alignments from male and female sequence data. The CQ method is widely applicable to species with fragmented genome assemblies produced from next-generation sequencing data. Analysis of the six Y genes characterized in this study indicates rapid Y chromosome evolution between An. stephensi and An. gambiae. The Anopheles Y genes discovered by the CQ method provide unique markers for population and phylogenetic analysis, and opportunities for novel mosquito control measures through the manipulation of sexual dimorphism and fertility.