Comparative transcriptomics of elasmobranchs and teleosts highlight important processes in adaptive immunity and regional endothermy

Table 1 Descriptive statistics of quality filtered reads and the subsequent assembly/annotation of 7 heart transcriptomes

Species	Filtered sequence reads	Trinity transcripts	n50	ORFs	Annotated ORFs	Swiss-Prot Proteins	MCL Clusters	Complete coverage of CEGs	Total Coverage of CEGs
White shark	23,288,212	174,288	2,294	46,825	34,986	11,705	7,021	95.2%	98.0%
Great hammerhead	22,977,042	179,367	2,649	49,992	37,700	10,991	6,535	96.4%	98.4%
Mako	10,802,234	101,534	779	30,354	22,491	11,135	6,980	80.2%	90.7%
Ray	12,921,908	104,957	2,004	31,672	23,265	10,651	6,437	98.0%	99.2%
Swordfish	16,524,630	144,990	2,778	63,771	50,494	11,717	6,788	98.0%	100%
Surgeonfish	8,983,274	81,222	2,864	42,302	34,302	9,530	5,999	91.1%	94.4%
Hogfish	7,665,032	64,264	2,168	28,403	24,077	10,412	6,184	87.9%	94.0%

Trinity transcripts refer to the initial number of transcripts in the Trinity assembly, which were then filtered for those containing the longest open reading frames. The translation of these transcripts was then annotated with BLASTP against the Swiss-Prot database and the number of hits to unique Swiss-Prot entries was recorded; if more than one transcript matched the same Swiss-Prot entry then the longest and most significant match was retained. A CEGMA analysis was conducted to evaluate the coverage of Core Eukaryotic Genes with complete coverage representing the proportion of CEGs with “complete” matches and the total coverage representing the percentage of CEGs that had complete or partial matches in the transcriptome