Potential prey of Rice's whales based on seawater eDNA 2019

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、912 レコードが含まれています。

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バージョン

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引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Wilcox Talbot L, Silliman K, Applegate M, Aichinger Dias L, Garrison L, Paterson C, Thompson L, Vollmer N, Rosel P (2025). Potential prey of Rice's whales based on seawater eDNA 2019. Version 1.2. NOAA Oceanic and Atmospheric Research. Occurrence dataset. https://ipt-obis.gbif.us/resource?r=rices-diet-edna&v=1.2

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は NOAA Oceanic and Atmospheric Research。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 2fb7a0b9-1160-435e-bca9-82733c4df877が割り当てられています。   GBIF-US によって承認されたデータ パブリッシャーとして GBIF に登録されているNOAA Oceanic and Atmospheric Research が、このリソースをパブリッシュしました。

キーワード

eDNA; metabarcoding; marine biodiversity; environmental DNA; Occurrence

外部データ

リソース データは他の形式で入手可能です。

連絡先

地理的範囲

USA: Gulf of Mexico

生物分類学的範囲

Marine vertebrates identified through eDNA metabarcoding

時間的範囲

プロジェクトデータ

Understanding the foraging ecology of endangered marine mammals is crucial for their conservation yet remains challenging due to the inaccessibility of their feeding habitats. This study used environmental DNA (eDNA) metabarcoding with two complementary 12S rRNA markers (MiFish and Riaz) to characterize potential fish prey communities available to the critically endangered Rice's whale (Balaenoptera ricei) in its core habitat in the northeastern Gulf of America. Water samples (N = 21) collected during a July 2019 survey detected 99 unique fish species across 62 families. The combined metabarcoding approach revealed 74 fish species not recorded in concurrent trawl surveys, while 16 trawl-caught species went undetected by eDNA. Notably, eDNA yielded higher detection rates for several potential prey taxa previously identified through stable isotope analysis, suggesting key prey species may be more prevalent than previously documented. This study demonstrates the value of eDNA as a complementary tool for monitoring the prey community of this critically endangered cetacean.

プロジェクトに携わる要員:

収集方法

During July 2019, a fish trawl (31.7 m footrope length, 0.6 cm sq codend mesh liner) was deployed from the NOAA Ship Gordon Gunter to collect potential Rice’s whale fish prey during daylight hours within Rice’s whale feeding areas in the northeastern Gulf of America (formerly known as the Gulf of Mexico). Trawl stations were selected by locating near-bottom aggregations of backscattering organisms (i.e., fishes) based on observations from a Simrad EK80 echosounder (transducer frequencies 18 kHz, 38 kHz and 120 kHz). Seawater samples (N = 21), collected between 120-320 m depth, were collected concurrently with the trawling using Niskin bottles (5 L total capacity) attached to a conductivity, temperature, and depth sensor (CTD) unit (Figure 1). Bottles were triggered to close via remote command at the desired sampling depth (Table S1). CTDs were deployed for seawater collection at one depth immediately after the trawl was retrieved at 18 stations, except for one trawl station where CTD sampling was repeated at two depths. Two additional CTD deployments collected seawater when no trawling was occurring while Rice’s whales were in the immediate vicinity and displaying feeding behavior. After each sample was collected, approximately 2 L of seawater was transferred from the Niskin bottle into a 2 L sterile Nalgene bottle (cleaned as described for the Niskin bottles prior to use) and placed into a cooler with ice until filtration. All samples were filtered within 35 minutes of collection. Filtration, cleaning, and sample storage followed that as described in (Wilcox Talbot et al., 2025), using a 47 mm diameter mixed cellulose ester (MCE) filter with a 0.45-µm pore size. Using sterile forceps, each MCE filter was placed in a 4 mL screw cap vial containing approximately 3 mL of sterile Longmire’s lysis buffer (Longmire et al., 1997). The preserved filters were stored at room temperature and in the dark until eDNA extraction.

Method step description:

1. Sample Collection Method Seawater was collected using 5 L Niskin bottles attached to a conductivity, temperature, and depth (CTD) sensor unit. Bottles were triggered remotely at depths between 120 and 320 meters. Approximately 2 L of seawater from each Niskin bottle was transferred to a sterile 2 L Nalgene bottle, placed in a cooler with ice, and filtered within 35 minutes of collection
2. Sample Processing Filtration was conducted using a 47 mm diameter mixed cellulose ester (MCE) filter with a 0.45-µm pore size. Using sterile forceps, each filter was placed in a 4 mL screw cap vial containing approximately 3 mL of sterile Longmire’s lysis buffer. Preserved filters were stored at room temperature in the dark until extraction.
3. Molecular Methods - eDNA Extraction: eDNA was extracted from the filters using a phenol:chloroform (1:1) method, followed by DNA precipitation using 5M NaCl and ice-cold 100% ethanol . - Metabarcoding: The 12S rRNA gene was amplified using two different fish-specific primer sets: modified MiFish-U-F/R2 primers and the Riaz primers. - Sequencing: Library pools were sequenced on an Illumina MiSeq in a 2x250 bp paired-end format using a MiSeq v2 500 cycle reagent cartridge. - Bioinformatics: Raw reads were processed using cutadapt v4.4 and Tourmaline v1.1.1 (which implements QIIME2 and DADA2) to infer amplicon sequence variants (ASVs). - Taxonomic Assignment: Taxonomy was assigned using Naïve Bayes classifiers trained on custom 12S reference sequence databases for each marker. To support this, 12S rRNA gene sequences from 15 regional fish species collected in the trawls were generated for this study and added to the reference databases

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