Museomics and phylogenomics of lovebirds (Psittaciformes, Psittaculidae, Agapornis) using low-coverage whole-genome sequencing.

Natural history collections contain specimens that provide important insights into studies of ecology and evolution. With the advancement of high-throughput sequencing, historical DNA (hDNA) from museum specimens has become a valuable source of genomic data to study the evolutionary history of organisms. Low-coverage whole genome sequencing (WGS) has been increasingly applied to museum specimens for analyzing organelle genomes, but is still uncommon for genotyping the nuclear DNA fraction. In this study, we applied low-coverage WGS to phylogenomic analyses of parrots in the genus Agapornis by including both modern samples and historical specimens of âˆ¼100-year-old. Agapornis are small-sized African and Malagasy parrots with diverse characters. Earlier phylogenetic studies failed to resolve the positions of some key lineages, prohibiting a robust interpretation of the biogeography and evolution of these African parrots. Here, we demonstrated the use of low-coverage WGS for generating both mitochondrial and nuclear genomic data, and evaluated data quality differences between modern and historical samples. Our resolved Agapornis phylogeny indicates the ancestor of Agapornis likely colonized Madagascar from Australasia by trans-oceanic dispersal events before dispersing to the African continent. Genome-wide SNPs also allowed us to identify the parental origins of hybrid Agapornis individuals. This study demonstrates the potential of applying low-coverage WGS to phylogenomics and population genomics analyses and illustrates how including historical museum specimens can address outstanding questions regarding the evolutionary history of contemporary lineages.

Development and characterization of microsatellite markers in Rosy-faced and other lovebirds (Agapornis spp.) using next-generation sequencing.

Agapornis are a group of small African parrots that are heavily traded around the world. They are invasive species in many places, but some of them are listed as Vulnerable or Near Threatened. However, the genetic tools for assessing inter-individual relationships, population structure, and genetic diversity of these birds are very limited. Therefore, we developed polymorphic microsatellite markers in A. roseicollis and tested the transferability on 5 lovebird species including A. personatus, A. nigrigenis, A. fischeri, A. pullarius, and A. canus, and two closely related outgroups (i.e. Bolbopsittacus lunulatus and Loriculus galgulus). We first performed whole-genome re-sequencing on five individuals of A. roseicollis to identify potential polymorphic loci. Out of 37 loci tested in 11 A. roseicollis, 27 loci were demonstrated to be polymorphic, with the number of the alleles ranging from 2 to 7 (mean = 3.963). The observed heterozygosity ranged from 0 to 0.875 (mean = 0.481) and expected heterozygosity ranged from 0.233 to 0.842 (mean = 0.642). Five loci (Agro-A13, p < 0.01; Agro-A15, p < 0.05; Agro-A43, p < 0.05, Agro-A65, p < 0.05; Agro-A67, p < 0.05) were detected to deviate from Hardy-Weinberg equilibrium, with the presence of null alleles suggested in locus Agro-A13 and Agro-A77. The exclusion powers for PE1 and PE2 are 0.997 and 0.999, respectively. The 27 novel polymorphic markers developed here will be useful for parentage and kinship assignment and population genetics study in Agapornis, and provide a tool for scientific research, captive breeding industry, and invasion and conservation management of these species.

Development of an SNP-based parentage verification panel for lovebirds.

The genus Agapornis, or lovebirds, are popular pet parrots worldwide. Currently, breeders are dependent on pedigree records as a selection tool as no molecular parentage verification test is available for any of the nine species. The A. roseicollis reference genome was recently assembled. This was followed by the sequencing of the whole genomes of the parents of the reference genome individual at 30× coverage. The parents' reads were mapped against the reference genome to identify SNPs. Over 1.6 million SNPs, shared between the parents, were discovered using the Genome Analysis Toolkit pipeline. SNPs were filtered to a panel of 480 SNPs based on Genome Analysis Toolkit parameters. The panel of 480 SNPs was genotyped in a population of 960 lovebirds across seven species. A panel of 262 SNPs was compiled that included SNPs successfully amplified across all species. The 262-SNP panel was reduced based on the observed heterozygosity (HO ) and minor allele frequency (MAF) values per SNP to include the lowest number of SNPs with the highest exclusion power for parentage verification. Two smaller panels consisting of 195 SNPs with MAF and HO values >0.1 and 40 SNPs with MAF and HO values >0.3, were constructed. The panels were verified using 43 families from different species with known relationships to evaluate the exclusion power of each panel. The 195 SNP panel with an average exclusion probability of 99.9% and MAF and HO values >0.1 was proposed as the routine Agapornis parentage verification panel.

Draft De Novo Genome Sequence of Agapornis roseicollis for Application in Avian Breeding.

In aviculture, lovebirds are considered one of the most popular birds to keep. This African parakeet is known for its range of plumage colors and ease to tame. Plumage variation is the most important price-determining trait of these birds, and also the main selection criterion for breeders. Currently, no genetic screening tests for traits of economic importance or to confirm pedigree data are available for any of the nine lovebird species. As a starting point to develop these tests, the de novo genome of Agapornis roseicollis (rosy-faced lovebird) was sequenced, assembled, and annotated. Sequencing was done on the Illumina HiSeq 2000 platform and the assembly was performed using SOAPdenovo v2.04. The genome was found to be 1.1 Gb in size and 16,044 genes were identified and annotated. This compared well with other previously sequenced avian genomes, such as the chicken, zebra finch, and budgerigar. To assess genome completeness, the number of benchmarking universal single-copy orthologs were identified in the genome. This was compared to other previously assembled avian genomes and the results indicated that the genome will be useful in the development of genetic screening tests to aid lovebird breeders in selecting breeding pairs.