Signatures of selection underpinning rapid coral adaptation to the world’s warmest reefs

Population genomics reveals loci associated with coral adaptation to thermally extreme reefs.

The genome of oil-Camellia and population genomics analysis provide insights into seed oil domestication

Background As a perennial crop, oil-Camellia possesses a long domestication history and produces high-quality seed oil that is beneficial to human health. Camellia oleifera Abel. is a sister species to the tea plant, which is extensively cultivated for edible oil production. However, the molecular mechanism of the domestication of oil-Camellia is still limited due to the lack of sufficient genomic information. Results To elucidate the genetic and genomic basis of evolution and domestication, here we report a chromosome-scale reference genome of wild oil-Camellia (2.95 Gb), together with transcriptome sequencing data of 221 cultivars. The oil-Camellia genome, assembled by an integrative approach of multiple sequencing technologies, consists of a large proportion of repetitive elements (76.1%) and high heterozygosity (2.52%). We construct a genetic map of high-density corrected markers by sequencing the controlled-pollination hybrids. Genome-wide association studies reveal a subset of artificially selected genes that are involved in the oil biosynthesis and phytohormone pathways. Particularly, we identify the elite alleles of genes encoding sugar-dependent triacylglycerol lipase 1, β-ketoacyl-acyl carrier protein synthase III, and stearoyl-acyl carrier protein desaturases; these alleles play important roles in enhancing the yield and quality of seed oil during oil-Camellia domestication. Conclusions We generate a chromosome-scale reference genome for oil-Camellia plants and demonstrate that the artificial selection of elite alleles of genes involved in oil biosynthesis contributes to oil-Camellia domestication.

The First High-Quality Genome Assembly and Data Analysis of the Malaysian mahseer (Tor tambroides)

The Malaysian mahseer (Tor tambroides), one of the most valuable freshwater fish in the world, is mainly targeted for human consumption. The mitogenomic data of this species is available to date, but the genomic information is still lacking. For the first time, we sequenced the whole genome of an adult fish on both Illumina and Nanopore platforms. The hybrid genome assembly had resulted in a sum of 1.5 Gb genomic sequence from the 44,726 contigs found with 44 kb N50 length and BUSCO genome completeness of 84.3%. Four types of SSRs had been detected and identified within the genome with a greater AT abundance than that of GC. Predicted protein sequences had been functionally annotated to public databases, namely GO, KEGG and COG. A maximum likelihood phylogenomic tree containing 53 Actinopterygii species and two outgroups was constructed, providing first insights into the genome-based evolutionary relationship of T. tambroides with other ray-finned fish. These data are crucial in facilitating the study of population genomics, species identification, morphological variations, and evolutionary biology, which are helpful in the conservation of this species.

Evolution of polygenic traits under global vs local adaptation

Observations about the number, frequency, effect size, and genomic distribution of alleles associated with complex traits must be interpreted in light of evolutionary process. These characteristics, which constitute a trait’s genetic architecture, can dramatically affect evolutionary outcomes in applications from agriculture to medicine, and can provide a window into how evolution works. Here, I review theoretical predictions about the evolution of genetic architecture under spatially homogeneous, global adaptation as compared with spatially heterogeneous, local adaptation. Due to the tension between divergent selection and migration, local adaptation can favor “concentrated” genetic architectures that are enriched for alleles of larger effect, clustered in a smaller number of genomic regions, relative to expectations under global adaptation. However, the evolution of such architectures may be limited by many factors, including the genotypic redundancy of the trait, mutation rate, and temporal variability of environment. I review the circumstances in which predictions differ for global vs local adaptation and discuss where progress can be made in testing hypotheses using data from natural populations and lab experiments. As the field of comparative population genomics expands in scope, differences in architecture among traits and species will provide insights into how evolution works, and such differences must be interpreted in light of which kind of selection has been operating.

A chromosome-scale genome assembly for the holly (Ilex polyneura) provides insights into genomic adaptations to elevation in Southwest China

Southwest China is a plant diversity hotspot. The near-cosmopolitan genus Ilex (c. 664 spp., Aquifoliaceae) reaches its maximum diversity in this region, with many narrow-range and a few widespread species. Divergent selection on widespread species leads to local adaptation, with consequences for both conservation and utilization, but is counteracted by geneflow. Many Ilex species are utilized as teas, medicines, ornamentals, honey plants, and timber, but variation below the species level is largely uninvestigated. We therefore studied the widespread Ilex polyneura, which occupies most of the elevational range available and is cultivated for its decorative leafless branches with persistent red fruits. We assembled a chromosome-scale genome using approximately 100x whole genome long-read and short-read sequencing combined with Hi-C sequencing. The genome is approximately 727.1 Mb, with a contig N50 size of 5 124 369 bp and a scaffold N50 size of 36 593 620 bp, for which the BUSCO score was 97.6%, and 98.9% of the assembly was anchored to 20 pseudochromosomes. Out of 32 838 genes predicted, 96.9% were assigned functions. Two whole genome duplication events were identified. Using this genome as a reference, we conducted a population genomics study of 112 individuals from 21 populations across the elevation range using restriction site-associated DNA sequencing (RADseq). Most populations clustered into four clades separated by distance and elevation. Selective sweep analyses identified 34 candidate genes potentially under selection at different elevations, with functions related to responses to abiotic and biotic stresses. This first high-quality genome in the Aquifoliales will facilitate the further domestication of the genus.

Viral population genomics reveals host and infectivity impact on SARS-CoV-2 adaptive landscape

Public health surveillance, drug treatment development, and optimization of immunological interventions all depend on understanding pathogen adaptation, which differ for specific pathogens. SARS-CoV-2 is an exceptionally successful human pathogen, yet complete understanding of the forces driving its evolution is lacking. Here, we leveraged almost four million SARS-CoV-2 sequences originating mostly from non-vaccinated naive patients to investigate the impact of functional constraints and natural immune pressures on the sequence diversity of the SARS-CoV-2 genome. Overall, we showed that the SARS-CoV-2 genome is under strong and intensifying levels of purifying selection with a minority of sites under diversifying pressure. With a particular focus on the spike protein, we showed that sites under selection were critical for protein stability and virus fitness related to increased infectivity and/or reduced neutralization by convalescent sera. We investigated the genetic diversity of SARS-CoV-2 B and T cell epitopes and determined that the currently known T cell epitope sequences were highly conserved. Outside of the spike protein, we observed that mutations under selection in variants of concern can be associated to beneficial outcomes for the virus. Altogether, the results yielded a comprehensive map of all sites under selection across the entirety of SARS-CoV-2 genome, highlighting targets for future studies to better understand the virus spread, evolution and success.