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<p>Stratified microbial communities are central to ocean biogeochemical cycles, yet their vertical structure and functional potential remain under characterized in oligotrophic regions. We present a metagenomic dataset from surface ocean and the deep chlorophyll maximum (DCM) layers of the stratified Western Pacific Ocean, sampled at four stations spanning approximately 800 kilometres. Each of the eight samples generated over 22.9 Gb of high-quality Illumina HiSeq 2500 paired end reads (Q20 &gt; 95%, Q30 &gt; 90%). <i>De novo</i> assemblies yielded 1.3–1.9 million contigs per sample, with total assembly sizes of 948 Mb to 1.33 Gb and N50 values of 632–749 bp. Gene prediction identified ~5.26 million non-redundant genes across all samples, reflecting substantial microbial diversity and depth-specific variation. Assembly statistics, taxonomic profiles, and functional annotations of genes are included for technical validation of the dataset, demonstrating data completeness and analytical depth. This dataset offers annotated sequence data and environmental metadata suitable for benchmarking, method development, and comparative studies of marine metagenomes.</p>

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Depth Resolved Metagenomic Dataset from Surface and Deep Chlorophyll Maximum Layers in the Western Pacific Ocean

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月31日

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  • Satheeswaran Thangaraj,
  • Jun Sun

摘要

Stratified microbial communities are central to ocean biogeochemical cycles, yet their vertical structure and functional potential remain under characterized in oligotrophic regions. We present a metagenomic dataset from surface ocean and the deep chlorophyll maximum (DCM) layers of the stratified Western Pacific Ocean, sampled at four stations spanning approximately 800 kilometres. Each of the eight samples generated over 22.9 Gb of high-quality Illumina HiSeq 2500 paired end reads (Q20 > 95%, Q30 > 90%). De novo assemblies yielded 1.3–1.9 million contigs per sample, with total assembly sizes of 948 Mb to 1.33 Gb and N50 values of 632–749 bp. Gene prediction identified ~5.26 million non-redundant genes across all samples, reflecting substantial microbial diversity and depth-specific variation. Assembly statistics, taxonomic profiles, and functional annotations of genes are included for technical validation of the dataset, demonstrating data completeness and analytical depth. This dataset offers annotated sequence data and environmental metadata suitable for benchmarking, method development, and comparative studies of marine metagenomes.