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Netting seabirds is great fun. And it’s crucial for science and conservation.In this photo, taken in July, I’m heading out to capture birds on Inishtrahull, Ireland’s northernmost island. Lying about 10 kilometres northeast of the mainland, the island is home to thousands of seabirds during the summer nesting season, including storm petrels (Hydrobates pelagicus), Manx shearwaters (Puffinus puffinus) and fulmars (Fulmarus glacialis). The fulmars are experiencing a population crash, which I’m investigating.Migratory birds are protected here, but we need to know where they go when they leave their nests. I attach an identification band and a light-level geolocator — a sensor that helps to estimate location from day length — to every bird I catch. A few birds get GPS monitors, but we dole those out carefully, because each costs about £1,000 (US$1,368).The birds tend to nest on cliffs, and on a bad day I’ll catch just three. Some days I get as many as 12. Shearwaters are a challenge, because they nest only at night: I have to use a torch and watch my step.The birds don’t enjoy getting caught, but the stress is only temporary. The data they provide help us to understand their migration patterns. Fulmars spend almost their entire lives at sea. I’m interested in finding out how often they share waters with long-line fishers, which would be a potentially fatal scenario for the birds. That’s not the only threat: a study has found that more than half of beached North Sea fulmars have large amounts of plastic in their stomachs (see go.nature.com/3cosy8j).The lighthouse behind me is now home to the Inishtrahull Bird Observatory, a base for birdwatchers. I’m the founding chairman, but the observatory, part of a network of monitoring spots stretching 1,200 kilometres from Scotland to southern Ireland, will outlive me. It will be a centre for science and education for years to come.

Nature 599, 340 (2021)
doi: https://doi.org/10.1038/d41586-021-03055-8

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The present study compared DNA sequences in a whole genome between the long strain and standard genome samples as references or the short strain and standard ones in T. castaneum. The results of resequencing analysis showed variations of DNA sequence from the reference sequence in both long and short strains, and the variations were detected more frequently in the long strain in a whole genome. Small nucleotide variants (SNV), multi-nucleotide variants (MNV), deletion, insertion, and replacement were detected in a whole genome in long and short strains. The same DNA sequence variants sharing between long and short strains were removed for the analyses. The numbers of small variants in total were larger in long strains than short strains (Fig. 1, Tables S1 and S2). The most frequent type of small variants was SNV, and the proportions of SNV were 82.7% (93,233/112,783) in long strains and 82.8% (13,817/16,697) in short strains, respectively (Fig. 1A). The SNVs compared with the reference nucleotide occurred frequently between adenine and guanine or cytosine and thymine in both long and short strains (Fig. 1B), and the frequencies were up to three times as large as other base combinations, indicating more frequent transition and fewer transversion variants. Deletion and insertion ranged from one to nine bases in both long and short strains, with one base was frequently deleted or inserted (Fig. 1C). Homozygosity presented more frequently than heterozygosity in all linkage groups, but the rate of homozygosity to heterozygosity depended on the linkage groups (Fig. 1D). Homozygosity of variants was more frequent in linkage groups 3 (LG3), 5 (LG5) and 7 (LG7) than other linkage groups in both strains. The ratios of homozygosity to heterozygosity were the largest in LGX and LG2 in long and short strains, respectively.Figure 1Analytical results of small variants of DNA sequence in a whole genome level in long and short strains. Proportion of small variants as SNV, MNV, deletion, insertion, and replacement in long and short strains (A). The numbers of small variants are indicated as the diameter of a pie graph. Frequencies of the SNVs in both long and short strains were compared with the reference nucleotide (B). Insertion and deletion ranged from one to nine bases in both long and short strains (C). Frequency of homozygosity or heterozygosity and its ratio in all linkage groups in long and short strains (D).Full size imageThe variants distributed in cording and non-cording regions. Figure 2A shows the results of narrowing down the variants in genic region from the variants in a whole genome in the long and short strains, and then aggregating the variants information in the exon, intron, URT and other regions. In all genic region, numbers of variants were larger in long strain than short strain. Then, genes containing these variants were counted in each strain (Fig. 2B). In exon region, genes with nonsynonymous variants were more numerous in the long strain (3243) than the short strain (844), and 464 common genes containing different DNA sequence variants between the strains were detected (Fig. 2B). In the genes with synonymous variants or the genes with variants in intron or UTR, the numbers of genes in long strain were constantly larger than those in short strain (Fig. 2B). The functions of long-unique, short-unique and common genes with variants were sorted into four categories by enrichment analyses as gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) ongoloty (KO) terms (Fig. 2C, Table S3). In the biological process, cellular component, and molecular function, and KEGG pathway, characteristics of nonsynonymous variants in long-unique, short-unique and common genes did not basically overlap among them, indicating specific selection of gene characteristics for each strain. Characteristics of synonymous variants were also sorted, but the synonymous variants may not influence the amino acid sequence of the gene and structure of the protein translated, rather these characteristics may be necessary to maintain the strain and preserved under artificial selection. Variants in intron and UTR may have potential effects on the gene expression, but should be investigated in detail in future study. Analyses of cis-regulatory elements might be important to understand regulation of gene expression, but the information on this region in T. castaneum is not available, therefore, the variants in cis-regulatory elements could not be analyzed.Figure 2Analytical results of the position of small variants in a whole genome in long and short strains (A) Numbers of variants in genic region including exon region, intron, UTR and other non-cording regions were indicated. As shown in parentheses, some ncRNAs and tRNAs were contained in exon, intron, and UTR regions. In short strain, there were five regions where two different genes overlap in 5′-UTR and 3′-UTR, respectively. Numbers of genes with variants in exon, intron and UTR regions in long and short strains (B). Numbers of long-unique, short-unique and common genes were shown by Venn diagrams. Common genes contain variants with different DNA sequences between long and short strains. Enrichment analyses of the function of genes with variants sorted into four categories (biological process, cellular component, molecular function, and KEGG pathway) (C). The heatmap is generated using the R package “gplots” (version 3.1.1, https://cran.r-project.org/web/packages/gplots/index.html). The list of each ontology shows the ID and term. The KO id is shown by a three- or four-letter organism code, the first-letter of the genus name and the first two- or three-letters of the species name of the scientific name of the organism, with pathway number. For example, Neuroactive ligand-receptor interaction of Tribolium castaneum is shown as “tca04080”.Full size imageTo explore the position of genes with variants associated with duration of death feigning in linkage groups, bulk segregant analysis was carried out (Fig. 3). The red approximate lines of the plot data crossed over the green threshold lines (P  More