Some considerations for analyzing biodiversity using integrative metagenomics and gene networks

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Table 2 Inferred intra and interspecific pairwise-distances for CO1 and psbA by sampling locality.

	n =	CO1 sequences identity average	CO1 intra ESUs variation	CO1 inter ESUs variation	psbA sequences identity average	psbA intra ESUs variation	psbA inter ESUs variation
Fiji	56	84.87%	0-3 bp i < 0,0065	> 11 bp j >0,023	89.64%	0-39 bp i < 0,071 (£)	> 45 bp j >0,083
New Caledonia	46	84.73%	0-7 bp i < 0,015	> 16 bp j >0,034	89.02%	0-20 bp i < 0,036	> 48 bp j >0,088
Vanuatu	34	83.19%	0-12 bp i < 0,026 (£)	> 29 bp j >0,062	87.93%	0-19 bp i < 0,035	> 30 bp j >0,015 (£)
Chesterfield	21	84.10%	0-1 bp i < 0,0021	> 21 bp j >0,045	89.94%	0-35 bp i < 0,064	> 49 bp j >0,090
Europe	14	84.73%	0-8 bp i < 0,017 (£)	> 46 bp j >0,099	89.42%	0-1 bp i < 0,0018	> 22 bp j >0,040 (£)
Morea (French Polynesia)	12	84.05%	0-1 bp i < 0,0021	> 37 bp j >0,080	88.46%	0-19 bp i < 0,035	> 48 bp j >0,088
Philippines	10	84.79%	0-12 bp i < 0,026 (£)	> 48 bp j >0,104	89.60%	0-2 bp i < 0,0036	> 48 bp j >0,088
Caribbean	6	87.58%	0-7 bp i < 0,015	> 53 bp j >0,114	90.40%	0-3 bp i < 0,0055	> 42 bp j >0,077
Indonesia	4	87.42%	1 bp i < 0,0021	> 66 bp j >0,143	89.30%	2 bp i < 0,0036	> 64 bp j >0,118
Global	206	83.17%	0-4 bp i < 0,0087	> 7 bp j >0,015	88.15%	0-36 bp i < 0,066	> 37 bp j >0,068

For each locality, for n specimens, the table presents the average sequence identity, the inferred intraspecific (i) and interspecific (j) distances, without EM, and their corresponding variation in number of base pairs for the identified ESUs. Cells in bold indicates when intra- specific and inter-specific distances conflict, for a given marker, between different sites. Cells with a (£) indicates when intra-specific and inter-specific distances conflict, for a given marker, between a local site and the genetic threshold based on the global sampling.

ISSN: 1745-6150