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PLOS One logoLink to PLOS One
. 2023 Nov 1;18(11):e0289221. doi: 10.1371/journal.pone.0289221

DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean, Nephrops norvegicus

Peter Shum 1,2,*, Janine Wäge-Recchioni 2,3, Graham S Sellers 2, Magnus L Johnson 4, Domino A Joyce 2
Editor: Lee W Cooper5
PMCID: PMC10619785  PMID: 37910458

Abstract

Norwegian lobster, Nephrops norvegicus, are a generalist scavenger and predator capable of short foraging excursions but can also suspension feed. Existing knowledge about their diet relies on a combination of methods including morphology-based stomach content analysis and stable isotopes, which often lack the resolution to distinguish prey items to species level particularly in species that thoroughly masticate their prey. DNA metabarcoding overcomes many of the challenges associated with traditional methods and it is an attractive approach to study the dietary profiles of animals. Here, we present the diet of the commercially valuable Nephrops norvegicus using DNA metabarcoding of gut contents. Despite difficulties associated with host amplification, our cytochrome oxidase I (COI) molecular assay successfully achieves higher resolution information than traditional approaches. We detected taxa that were likely consumed during different feeding strategies. Dinoflagellata, Chlorophyta and Bacillariophyta accounted for almost 50% of the prey items consumed, and are associated with suspension feeding, while fish with high fisheries discard rates were detected which are linked to active foraging. In addition, we were able to characterise biodiversity patterns by considering Nephrops as natural samplers, as well as detecting parasitic dinoflagellates (e.g., Hematodinium sp.), which are known to influence burrow related behaviour in infected individuals in over 50% of the samples. The metabarcoding data presented here greatly enhances a better understanding of a species’ ecological role and could be applied as a routine procedure in future studies for proper consideration in the management and decision-making of fisheries.

Introduction

Marine animals possess a diverse repertoire of feeding strategies linked to individual and species-specific foraging behaviour in complex, multifood environments. They engage in food acquisition at individual, population and community levels that shape ecosystem functioning across trophic levels. This influences biotic interactions and behaviour among species which drives phenotypic selection and eco-evolutionary feedbacks [13]. At an individual level, feeding is linked to nutrition and ecophysiology as the quantity and quality of food resources regulate individual survival, growth and fecundity. The ability to monitor these dietary profiles of animals, particularly those of commercial importance, across spatial scales is fundamental to understanding how environmental and anthropogenic activities influence nutrition. An accurate and comprehensive dietary matrix of species in marine ecosystems is an essential foundation for ecological fisheries models that are necessary for developing a better understanding of likely impacts of climate change on marine systems [4].

The methodology for studying the diet of animals is varied and considers the type of sample collection, sample processing, and the identification and quantification of prey consumption. In the marine environment, species are rarely observed to forage directly and most studies depend on the identification of prey remains in stomach contents or faeces to determine the prey items being consumed [5]. However, obtaining detailed diet information is challenging for many species because of the effort required to directly observe and physically identify food items from stomach contents [5]. This is particularly problematic in understudied species as traditional stomach content analyses rely on extensive experience to identify species specific characteristics of hard parts (e.g., otoliths, scales, cleithra, carapace) and soft contents with the aid of good references to identify items from digested, broken and finely comminuted material [6]. But diet items that have been recently consumed can be rapidly digested and become quickly indiscernible which can underestimate dietary composition. This lack of consistent information can negatively impact food web models in estimating annual catch and consumption by predators [7] and could lead to unexpected and undesirable management outcomes [8]. DNA barcoding using the universal cytochrome oxidase I (COI, ~650bp) gene can improve detection of otherwise unidentifiable individual prey items, however there is reduced success for highly digested material with time and resources needed to process separate items [9]. Another popular application is the use of carbon and nitrogen isotopic signatures (i.e., stable isotopes) in tissues to measure the differential assimilation of dietary components which can overcome some of the shortcomings of traditional dietary studies [10]. For example, Wieczorek et al. [11] studied the diet of the lesser spotted dogfish using the stomach content analysis and stable isotopes. They found that stomach content analysis presents a snapshot of the diet that overestimate hard-bodied prey species while stable isotopes revealed that soft-bodied filter feeders were by far the most important diet items, accounting for approximately 76% of the energy assimilated. This highlights the advantage of complementary approaches to provide a better overview of a species trophic position.

While stable isotope analysis is a powerful method to complement stomach content data in estimating dietary profiles, it lacks the resolution to accurately recover species level information [12, 13]. An alternative method that has quickly gained momentum in trophic ecology studies is DNA metabarcoding. DNA metabarcoding embraces DNA barcoding of short DNA fragments and next generation sequencing to identify species information from a variety of sample types, and facilitates the detection of small, soft-bodied or cryptic species which might be overlooked during traditional diet analysis [14]. The power and utility of DNA metabarcoding has become an attractive tool to identify food DNA consumed by animals to reveal dietary habits [15], parasite load [16], trophic niches [17], and local natural biodiversity [18].

Nephrops norvegicus, (also referred to as the Norwegian lobster, Dublin Bay Prawn or scampi, Nephrops hereafter), is a benthic decapod crustacean and is one of the most important economically valued fisheries in Europe generating a value of 50 M€, making it the second most valuable landed species in the North Sea (NS) and Eastern Arctic region in 2019 [19]. They are distributed over semi-isolated mud patches throughout the North-Eastern Atlantic Ocean in the North Sea as far south as the Canary Islands and extending into the Eastern Mediterranean Sea [20]. Nephrops are thought to be crepuscular opportunistic predators and scavengers, found to feed on fish, crustaceans, molluscs and other taxa [21]. Nephrops also possess a complex mode of feeding by capturing and ingesting suspended particulate organic matter (i.e., POMsusp) from the water column, i.e., suspension feeding. Suspension feeding is thought to be used especially by females for surviving starvation during the long breeding period which lasts from late spring to early autumn when they are restricted to their burrows [22]. Santana et al. [23] revealed the importance of suspension feeding through stable isotopes and found that half of their diet was made up of suspended particulate organic matter alone. This study collected samples during the spring, coinciding with the breeding season, but found no differences between male and female Nephrops in terms of their feeding habits. Fish were shown to be another important food source, but it is unclear which species contribute to their diet or whether their diet is supplemented by discards arising from inshore fisheries [23]. The link between diet and behaviour in Nephrops is particularly important to fisheries as when they are in their burrows, they cannot be captured by fishers. The fishing fleet is aware that Nephrops, as well as having a crepuscular emergence habit, will appear and disappear en masse in different grounds at different times of year, and fishers will move among the discrete fishing grounds (functional units) as they become available [24].

Here we applied DNA metabarcoding to characterise the gut contents of Nephrops norvegicus from specimens collected in the North and Irish Seas. Nephrops are a generalist forager and highly commercial benthic crustacean. Utilizing a molecular approach, we can consider them as unique natural biodiversity samplers, offering valuable insights into their ecosystem. Therefore, we aim to i) characterise their feeding strategy using DNA metabarcoding of digested material in the gut and ii) examine the biodiversity of prey consumed.

Materials and methods

Sample collection and processing

A total of 207 Nephrops norvegicus specimens were collected on board commercial fishing vessels in the East (n = 77) and West (n = 68) of the North Sea (NS-East and NS-West respectively)—Fladen Grounds and the Irish Sea (n = 63) in January 2016. Given the particularities of these catches, the specific locations were not provided to us. Instead, we received only broad, generalised areas where the collections were made, reflecting the common practice in commercial Nephrops fishing. Specimens were collected from the seafloor and were stored on ice at sea and stored at -80°C in the lab prior to dissection. In the lab, each specimen was thawed on ice after which the total contents of the gastro-intestinal tract was placed into a DNeasy PowerSoil tube using sterile forceps and DNA extraction was performed following the manufacturer’s protocol. Purified DNA extracts were quantified using dsDNA HS Assay kit Qubit fluorometer.

Data generation, library preparation and sequencing

Each sample was PCR amplified targeting the 313bp fragment of the cytochrome oxidase I gene (COI) (mICOIintF: GGWACWGGWTGAACWGTWTAYCCYCC [25], matched to jgHCO2198: TAIACYTCIGGRTGICCRAARAAYCA; [26]). Each sample was amplified in triplicate and subsequently pooled to reduce biases in individual PCRs. A single step PCR protocol was used containing indexed primers with 8 bp oligo tags differing in at least 3 bases. A variable number (2, 3 or 4) of degenerate bases (N’s) were added to the beginning of each primer to increase nucleotide diversity for sequencing. PCR reactions were carried out in 25 μL volumes containing 12.5 μL of MyFi mix (Bioline), 1 μL of each forward and reverse primer (0.5 μM), 2 μL of DNA template (0.5–10 ng/μL) and 8.5 μL of molecular grade H2O. The thermocycle condition for the PCR was 10 min at 94°C; 35 cycles at 94 °C for 1 min, 45 °C for 1 min and 72 °C for 1 min; and a final elongation at 72 °C for five minutes. The quality of all amplifications was assessed through electrophoresis, running the PCR products on a 1% Sodium borate (1X SB) gel stained with gel red (Biotium). All PCR products were purified using magnetic beads (0.8x, Omega Mag-Bind) before all samples were pooled in equimolar amounts and normalized to 45 μL containing 3 μg of total purified PCR product. Along with the samples, one positive (Astatotilapia burtoni) and one negative (purified water) control was amplified in each plate and sequenced.

The Illumina library was constructed from 3 μg of total DNA using the NextFlex PCR-free library preparation kit following the manufacturer’s instructions. The library was quantified by qPCR using NEBNext Library Quant Kit for Illumina, adjusted to a final molarity of 15 pM and with a 10% PhiX control, was sequenced on an Illumina MiSeq platform using v2 chemistry (2 x 250 bp paired-end) at the University of Hull.

Bioinformatic pipeline

The sequence reads were analysed using the OBITools software [27]. FastQC was used to assess the quality of the reads and trimmed accordingly based on a minimum quality threshold of 28 using obicut. Pair-end reads were aligned using illuminapairend and alignments with a quality score <40 were discarded. The aligned dataset was demultiplexed using ngsfilter. The aligned reads were further filtered for length 300–320 bp (obigrep) and reads containing ambiguous bases were removed. The reads were then dereplicated using obiuniq and a chimera removal step was performed using the uchime-denovo algorithm implemented in vsearch [28]. Molecular Operational Taxonomic Unit (MOTU) clustering was carried out using Swarm (d value of 13) [29]. A reference COI database was generated by in silico PCR against the R134 release of the EMBL-EBI database using ecoPCR [30], and taxonomic assignment for each MOTU was performed using the ecotag algorithm, which implements a conservative lowest common ancestor approach.

Statistical analysis

To determine adequate sampling of the diet profiles for each Nephrops collection site, we examined species diversity (presence-absence) of the gut contents using sample-based rarefaction and extrapolation sampling curves (iNEXT, [31]). The rarefaction curves were extrapolated for each collection site to 200 samples and the total species richness (Sest) for each site was estimated [32]. Rarefaction curves were used to determine the percentage of Sest sampled for each site by dividing the cumulative number of expected species (Sest) by the estimated total species richness of each site (total Sest). We calculated indices of the relative frequency of occurrence as the occurrence per gut (O/G) index (the number of occurrences of a diet item divided by the total number of gut samples). Alpha diversity was performed using a pairwise ANOVA of diversity measure (Shannon index) of MOTUs for each site (vegan, [33]). Analyses were performed in the statistical programming environment R v.4.0.2 [34].

We employed Pianka’s Niche Overlap Index [35] to quantify the dietary overlap for each site. This method facilitated a comparative analysis of dietary trends across the East-Irish, East-West, and Irish-West collections.

Network analysis

We examined the dietary differences between Nephrops collections by generating a quantitative bipartite network [36] implemented in R (geomnet, [37]), where individuals grouped by location were linked to prey groups. The network was weighted to visualise the proportional contribution of each prey group to the diet of Nephrops at a given location. Furthermore, a unipartite network was generated to illustrate the dietary preference for MOTUs at lower taxonomic ranks (species, genus or family level) between specimens among locations. This analysis consisted of one set of nodes whereby two species can be connected through trophic interactions [38]. The network was directed from predator to prey and interactions were weighted using presence-absence abundance for each MOTU. The final visualisation of the unipartite network was performed using the Force Atlas algorithm in Gephi v0.9.2 [39].

Results

Overall, a total number of 207 Nephrops norvegicus specimens collected from three locations were screened for gut contents using DNA metabarcoding from the North Sea (NS-East (n = 77) and NS-West (n = 68)) and Irish Sea (n = 63), including one positive (Astatotilapia burtoni) and one negative (purified water) control. Illumina sequencing produced a total of 18,646,302 paired-end reads. After quality filtering (paired-end assembly, quality, length filtering and dereplication) and removing 21,592 potential chimeras (0.9%), the final table consisted of 815 MOTUs (12,228,986 reads). However, the vast majority of reads (98.6%, 12,054,773) aligned to Nephropidae which we considered host contamination and was therefore removed from further analysis. Furthermore, taxa unlikely to form the basis of Nephrops diet were removed (37 MOTUs, 5.2% reads, e.g., terrestrial species: hominid, Canidae, Insecta). We considered data with reliable taxonomic assignments 85% and greater, with each MOTU having a minimum of three reads. This resulted in a final dataset consisting of 94 N. norvegicus specimens (North Sea, East: 44, West: 25; Irish Sea: 25) with 116,154 reads in 119 MOTUs.

Rarefaction extrapolation curves were used to assess sampling effort of Nephrops diet among collections using presence-absence data (Fig 1). Rarefaction curves failed to reach saturation for each group suggesting increased sampling effort and/or sequencing depth is desirable to adequately obtain sufficient MOTU coverage. The analysis of total species richness revealed 74%, 49% and 46% of the estimated total MOTU richness was observed in diet composition from NSE (n = 44), NS-West (n = 25) and Irish Sea (n = 25) respectively. Rarefaction curves indicated that an average of 74 and 117 individuals per site were needed to detect 80% and 90% of the estimated total MOTU species richness respectively (Table 1).

Fig 1. Rarefaction and extrapolation curves for MOTU richness for diet sample estimates from three collections, with symmetric 95% confidence intervals based on [92].

Fig 1

Solid lines: rarefaction curves (observed data). Dashed lines: extrapolation curves. Shaded area for each solid line: 95% confidence interval for the expected rarefied MOTU richness. Shaded area for each dashed line: 95% confidence interval for the expected extrapolated class richness up to a sample size of 200. Points indicate observed rarefaction values for each collection.

Table 1. Number of N. norvegicus specimens needed to detect various percentages of estimated total MOTU richness at three sites in the North Sea (East and West) and the Irish Sea.

n is the total number of samples analysed and Obs is the total MOTU richness observed for each site.

% Estimated total species richness
Site n Obs 80 90 95 99
East 44 74% 62 101 130 158
West 25 49% 77 119 147 175
Irish 25 46% 84 131 163 194
Combined 94 80% 93 148 186 224

For alpha diversity analysis, we calculated the mean Shannon diversity and observed MOTUs found in the diet of N. norvegicus in each site (Fig 2). A one-way ANOVA analysis comparing diet diversity showed considerable differences across sites (F = 5.17, p = 0.0067). A Holm-Bonferroni corrected posthoc t-test showed the NS-East collection was notably different to both the NS-West and Irish Sea collections (paired t-test, p < 0.001). However, the observed number of MOTUs was higher in the NS-East (86) than the NS-West (50) and Irish Sea (43).

Fig 2.

Fig 2

a) Box plots showing alpha diversity of N. norvegicus gut contents for each site, North Sea East, West and Irish Sea. The Shannon index was computed for all 94 specimens compared across locations. Bars above plots indicate significance *** p<0.001, NS non-significant. b) Pie chart illustrating N. norvegicus feeding strategy. Food likely consumed through suspension feeding are indicated by blue and non-suspension indicated by grey.

Overall diet composition

The 119 MOTUs identified from the gastro-intestinal tract across Nephrops specimens consisted of 16 identified Phyla. The dietary overlap among Nephrops across different sites is notably high, as depicted in S1 Fig. Pairwise comparisons indicate substantial dietary overlap: 68% between East and Irish sites, 70% between East and West sites, and 87% between Irish and West sites. These high overlap percentages are likely attributable to the limited resolution of our sample collection. The bipartite plot demonstrates the broad associations of 22 prey groups between collections (Fig 3). The variety of prey sources was distributed over a diverse range of groups with Dinoflagellata as the most frequently occurring taxa in the gut content (average occurrence per gut, O/G = 0.44), followed by Chlorophyta (aO/G = 0.26), Holothuroidea (aO/G = 0.204), Malacostraca (aO/G = 0.203), Asteroidea (aO/G = 0.17), Bacillariophyta (aO/G = 0.16) and Nemertea (aO/G = 0.13) among others. While these groups appear abundant in the Nephrops diet, Fungi was found to be the most diverse with 28 MOTUs followed by Actinopterygii (12 MOTUs), Bacillariophyta (8 MOTUs), Malacostraca (5 MOTUs) and Ochrophyta (5 MOTUs) with the remaining groups showing between 1–4 MOTUs. We found instances of some groups exclusively reported for the NS-East (e.g., Aves, Mammalia), NS-West (Discosea, Florideophyceae, Oomycota) and Irish Sea (Cephalopoda, Chondrichthyes).

Fig 3. Bipartite network including 94 N. norvegicus specimens (North Sea, East: 44, West: 25 and Irish Sea: 25) and their prey items (grouped into 22 taxonomic categories, including classes and phyla).

Fig 3

The relative proportion of each prey category consumed by each N. norvegicus group corresponds with the width of each interaction bar. The pie charts show the relative proportion of each taxonomic category within each group.

Prey composition

In our analysis of the dietary profiles of Nephrops, we focused on MOTUs identified at lower taxonomic ranks with >90% identity (58 MOTUs) to construct an empirical food web. This web consisted of 61 nodes and 94 weighted edges, representing predatory interactions based on presence-absence abundance (Fig 4). We detected 17 Fungi, 15 vertebrates, 15 invertebrates, and 11 algae/protists within the samples, where algae and protists are grouped together due to their overlapping characteristics. Key species within the network were identified through weighted degree centrality metrics, with algae/protists (Suessiales sp., O/G = 0.61; Hematodinium sp., O/G = 0.60; Dinophyceae sp., O/G = 0.11) emerging as the top MOTUs, (Micromonas bravo, O/G = 0.27; Chloroparvula pacifica, O/G = 0.15) followed by invertebrates (Common starfish, Asterias rubens, O/G = 0.22; Common sunstar, Crossaster papposus O/G = 0.10).

Fig 4. Unipartite network illustrating species composition digested for N. norvegicus specimens collected at three sites.

Fig 4

Venn diagram shows the number of species level MOTUs per site.

While our study detected some less likely dietary items, such as various Fungi and vertebrates, our primary focus is on the ecologically relevant prey items to better inform management decisions. For example, in the NS-East collection, we found a high prevalence of fish species like the common dragonet (Callionymus lyra, O/G = 0.02), European plaice (Pleuronectes platessa, O/G = 0.04), Atlantic herring (Clupea harengus, O/G = 0.02), and the common dab (Limanda limanda, O/G = 0.18). Other vertebrates included a seabird species, razorbill (Alca torda, O/G = 0.02), and two mammals, white-beaked dolphin (Lagenorhynchus albirostris, O/G = 0.02) and harbour porpoise (Phocoena phocoena, O/G = 0.04). Four invertebrates detected were the black brittle star (Ophiocomina nigra, O/G = 0.02), two hydroids (Nemertesia antennina O/G = 0.02, Leuckartiara octona, O/G = 0.11) and a polychaete (Pholoe pallida, O/G = 0.04). By contrast, the NS-West was composed of eight unique MOTUs with two algae, two invertebrates, three Fungi and one amoeba detected. We detected an invertebrate hydroid MOTU in the Family Campanulariidae (O/G = 0.04) and the European lobster (Homarus gammarus, O/G = 0.04). Microalga species identified were the brown Forkweed alga (Dictyota dichotoma, O/G = 0.04) and red alga (Ahnfeltia plicata, O/G = 0.08). The Irish Sea showed the least unique MOTUs with two vertebrates (northern pike, Esox lucius, O/G = 0.04; small-spotted catshark, Scyliorhinus canicula, O/G = 0.04), one invertebrate (curled octopus, Eledone cirrhosa, O/G = 0.04) and two Fungi detected.

Discussion

We used gut content metabarcoding of the commercially valuable Nephrops norvegicus to provide a detailed detection of specific food items to enhance traditional, broad-scale trophic assignments of prey. Our results indicate an opportunistic strategy that allows these generalist crustaceans to effectively utilize a wide range of food sources. These sources include macroalgae, phytoplankton (such as diatoms), fish, crustaceans, molluscs, echinoderms, nemerteans, polychaetes, mammals, fungi, and other taxa. The detection of these taxa in the Nephrops diet is based on the DNA extract gut contents, and while some items may be more prevalent or ecologically relevant than others, our findings present a comprehensive overview of the dietary profile for these crustaceans. In addition, a single snapshot of Nephrops diet revealed estimates of biodiversity and species distributions for a variety of food taxa in their native range, suggesting Nephrops could be used as a sentinel organism for monitoring local biodiversity. Last, we observed high rates of infection by the parasitic dinoflagellate Hematodinium in Nephrops populations from the North and Irish Sea, with over 50% of the sampled individuals found to be infected. Hematodinium is known to alter burrow-related behaviour in Nephrops, which may have a detrimental impact on predation and fishing. Our sample collection and modest sequencing data lend further support for the promise of using DNA metabarcoding as a tool for measuring dietary profiles, biodiversity and monitoring pathogens in natural Nephrops populations that are important to commercial fisheries.

Methodological considerations

DNA metabarcoding offers an enormous opportunity to observe greater taxonomic resolution to study the feeding ecology of organisms but a few drawbacks in our study require consideration to understand the dietary repertoire of Nephrops. First, isolating DNA from highly digested remains presents a methodological constraint for successful PCR amplification. Our initial objective was to include DNA metabarcoding data of the stomach contents of all Nephrops specimens, but we were unable to obtain sufficient PCR amplification and therefore we broadened our findings to gut contents which achieved greater PCR success. However, the presence of organic compounds in the stomach and gut of Nephrops (e.g., digestive enzymes, [40]) cause DNA damage which is one of the main contributors of PCR inhibition [4143]. The variation in diet will affect the secretion of the gastric juices which play a significant role in PCR inhibition at different concentrations in the gut [44]. This can be highly problematic as high levels of PCR inhibition will be present in many genomic DNA extracts that negatively influence PCR amplification [45]. For more accurate identification and quantification of diet components, the following strategies could be considered to overcome DNA degradation and PCR inhibition: 1) DNA extraction protocols with tailored inhibition removal steps [46]; 2) incorporation of alternative proteins to enhance PCR amplification such as bovine serum albumin (BSA) or T4 gene 32 protein (gp32) [3, 45, 47] performing a DNA repair procedure on genomic DNA template to allow increased PCR amplification success [4, 48, 49] targeting a shorter fragment than the COI (313bp) such as the 18S rRNA V9 (~134 bp) to account for advanced digestion and DNA damage [50].

Second, the choice of primer is an important factor that influences the quality of PCR amplification and the desired taxonomic resolution. We used a versatile primer set that is known to be highly effective in amplifying COI across invertebrate phyla [25] with an expectation that high sequencing depth would recover an adequate characterisation of diet items. Consequently, we generated high sequencing depth with over 18 million sequencing reads but found that over 98% of the data was assigned to Nephrops. Although there are reports of cannibalism between conspecifics [51], we could not confidently distinguish between true cannibalistic events and host contamination in our genetic dataset. Therefore, we conservatively treated these sequences as host contamination and disregarded them in our analysis. Thus, there is considerable scope for improvement to identify species that are concealed by amplification bias. One solution to overcome host amplification is simply to target specific taxonomic groups such as vertebrates using a well-established 12S rRNA assay [18, 52] and the 18S rRNA assay [53]. This would greatly enhance the resolution of fish species detected to distinguish the proportion of discards that might contribute to the Nephrops diet. However, a multimarker assay would be needed to obtain a holistic view of eukaryotic diversity in the diet. Therefore, an alternative solution is the design of a blocking primer which can block amplification of host DNA in a complex sample [53, 54]. This can help preferentially bind non-host DNA through incorporating nucleotide mismatches for Nephrops in the primer with a C3 spacer on the 3′ end which blocks extension of the host PCR amplification [55, 56]. Development of a blocking primer assay for Nephrops will offer increased opportunity for species detection but it will require systematic PCR testing to determine the efficiency of blocking both non-target and target DNA. Nevertheless, our rarefaction estimates illustrate our COI assay recovered between 49% and 79% of prey diversity across sites for Nephrops, and additional improvements will reveal further fine-scale dietary information.

Dietary profile of Nephrops norvegicus

Traditional diet composition analysis relies on visual observation methods of undigested remains and morphology-based stomach content analysis of Nephrops from the Mediterranean and Atlantic waters off the coast of Portugal show crustaceans and fish to be the main prey-groups [21]. However, this approach is labour-intensive, requires considerable taxonomic expertise, and the assessment of dietary items is often hampered by the variable rate of prey digestion in the gut [57], and lack of diagnostic features of digested and soft prey items, thereby underestimating the dietary assemblage. Stable carbon isotope composition of organic matter can trace the assimilation of nutrients present in animal tissue over a long period and Santana et al. [23] used stable isotope analysis of Nephrops collected in the west of Ireland and found suspended particulate organic matter and fish to be important diet components followed by plankton and invertebrate sources. Yet, this approach does not allow high-resolution analysis of species-specific diet composition.

Here we implemented DNA metabarcoding of the gastrointestinal tract using a COI primer set to characterise the diet of Nephrops from the North and Irish Sea. Overall, our molecular assessment of Nephrops gut content displays a broad omnivorous diet. This consisted of 16 Phyla and 35 Classes with 40 MOTUs (36%, ≥98% identity) identified to species level. We report the dominance of Dinoflagellata, Chlorophyta and Bacillariophyta which comprise an average of 49% of the dietary composition for Nephrops across sites and this may reflect a nutritional advantage consistent with their ability to suspension feed. Unclassified taxa alone made up an average of 8.7% of consumed prey and an average of 13% consisted of Echinodermata, Chordata and Arthropoda, while the remaining taxa (Ascomyata, Annelida, Basidiomycota, Cnidaria, Discosea, Mollusca, Nemertea, Ochrophyta, Oomycota, Rhodophyta) accounted for an average of 11%. Overall, we observed high dietary overlap among Nephrops across sites and this may reflect the common abundance of particulate organic matter and benthic organisms on which they feed. Similarly, morphological stomach content assessment of Nephrops from the Eastern and Western Mediterranean and adjacent Atlantic showed no significant differences between sites or seasons, which was explained by the great similarity of the bathyal fauna [21]. Nonetheless, we found instances of unique species in the diet of Nephrops, with 18 species exclusively found in the East of the North Sea (e.g., Actinopterygii, Aves, Mammalia), eight species in the West of the North Sea (Discosea, Florideophyceae, Oomycota) and five species found in the Irish Sea (Cephalopoda, Chondrichthyes).

Nephrops are benthic animals that burrow in soft sediment and emerge from their burrows to forage and seek mates. Fluctuations in food availability may present challenging conditions, particularly when their nutritional status is influenced by density-dependent factors. For example, in high density areas, competition for food may limit their scope for growth [20] and increased aggressive social behaviour could drive up the metabolic rate and thereby exhaust energy resources [5860]. The significance of suspension feeding allows individuals to overcome challenging scenarios related to food availability, particularly for females during the breeding season [61], and avoiding aggressive encounters between male conspecifics [62]. It is suggested that suspension feeding is energetically efficient and can be more profitable for growth compared to active feeding given that 65–68% of the daily energy intake is achieved from suspension feeding [22, 58]. Our results reveal that nearly 60% of individuals (55/94) consume 50% or more taxa that are likely as a result of suspension feeding, a pattern that mirrors stable isotope analysis from Santana et al. [23]. This finding highlights the importance of suspension feeding in Nephrops as a means of energy transfer within the ecosystem and its potential influence on local food web structure. The ability to utilize suspension feeding may also provide Nephrops with greater adaptability to changes in prey availability and enable efficient resource utilization. Additionally, the presence of parasitic or unintentionally consumed taxa in our results serves to underscore the diverse array of organisms encountered by Nephrops in their environment, offering valuable insights into the broader aspects of local biodiversity (Fig 2b). On the other hand, it is reported that females remain berried in normal environmental conditions to avoid predation during long breeding periods and depend on suspension feeding as an important strategy to survive starvation when restricted to burrows [22]. However, we found females to have similar dietary abundance as their male counterparts showing patterns of suspension and active feeding and this pattern is in line with Santana et al. [23], who revealed male and female Nephrops have remarkably similar dietary profiles. Therefore, it appears female Nephrops do not exclusively rely on suspension feeding and may experience occasional feeding excursions attracted by available food in close proximity to the burrow opening [61, 63]. Thus, the detection of active food foraging of prey such as invertebrates and fish along with other prey taxa shows the potential of Nephrops to utilise alternative, accessible, and highly nutritional prey to maximise their energy uptake.

More broadly, a combination of DNA metabarcoding and stable isotope analysis could significantly improve general data gathering to feed ecological models. The last broad scale description of diets in the North Sea (“Year of the Stomach”) was carried out by a European consortium between 1981–1991 but, because of the labour-intensive nature of dietary identification at the time, was limited to identifying diets of a few commercial fish species and results were biased towards hard-bodied species [64]. Difficulties in identifying stomach contents often mean that ecological modellers use pooled taxa such as “plankton” or “heterotrophic benthos” in their diet matrices. Given the likely complexity within these groupings in terms of variations in numbers of component species in each classification, that are predated upon and their own trophic levels, this low resolution may limit the validity and utility of some ecological models [65, 66]. Metabarcoding may contribute to a route in developing much more robust diet matrices for ecological models.

Sentinels of biodiversity

Biodiversity baselines play an important role in understanding the impact of multiple stressors such as climate change and anthropogenic pressures on biodiversity [67]. Monitoring programmes enable the observation of ecological temporal variability and enhance our capacity to manage species and ecosystems [68]. The past decade has experienced a surge in the development of DNA-based approaches to support rapid biodiversity assessments [18, 69], with recent work harnessing the ‘natural sampler’ ability of organisms to collect DNA from the environment. For example, Mariani et al. [70] utilised the water filtering efficiency of sponges to capture environmental DNA (eDNA) to recover highly informative biodiversity assemblages of vertebrate fauna from the Mediterranean Sea and Southern ocean. The concept of natural sampling has been further implemented in a range of different organisms to assess biodiversity using DNA metabarcoding of stomach contents from predatory or scavenging crustaceans [18, 71] to filter-feeding bivalve molluscs [53]. In the case of Nephrops, their potential as a natural sampler is enhanced by their wide distribution from Iceland to as far south of the Canary Islands with their range extending into the eastern Mediterranean Sea. Nephrops have a sustainable fishery and are relatively resilient to the effects of trawling in some areas of high fishing pressure with landings maintained at historically high levels for over 40 years [72]. This means that these generalist predators and scavengers could be uniquely resourceful natural samplers in capturing benthic biodiversity.

The variation in food availability in the diet of Nephrops enhances the description of local biodiversity in the foraging area and helps build an inventory of species co-occurrence. We observed eight echinoderm species in the diet of Nephrops with overall greater occurrences of these species in the East of the North Sea (NS = East) than the NS-West and Irish Sea. Some of these echinoderms represent species with limited geographical distributions showing the centre of their abundances in the North and Irish Seas (e.g. the Spiny mudlark urchin Brissopsis lyrifera, brittlestar Amphiura filiformis and Black brittlestar Ophiocomina nigra). Other echinoderms detected have greater distribution ranges with abundances along the North Atlantic coasts of North America and Europe (Common starfish, Asterias rubens) to cosmopolitan species inhabiting cold temperate waters (Common sunstar, Crossaster papposus). Identification of these species is important to establish biodiversity baselines particularly for indicator species that help monitor ecosystem health. For example, Sea Star Wasting Disease (SSWD) is an ongoing disease epidemic that leads to behavioural changes, lesions, loss of turgor, limb autotomy, and death characterised by rapid degradation [73]. This caused mass mortality of major sea star populations along much of the west coast of North America resulting in the functional extinction of charismatic species (e.g., sunflower sea star, Pycnopodia helianthoides, [74]). Recently however, a SSWD-like outbreak has been documented and shown to be susceptible in the common sunstar (Crossaster papposus) in European waters from the Irish Sea and further research is needed to understand the geographical extent of the outbreak [75]. Although we report no detections of S. papposus in the Irish Sea, we observed an encouraging number of occurrences (n = 10) in the North Sea that illustrate Nephrops can be employed to monitor the presence of these keystone species. However, it is unclear whether the ingestion of echinoderms is a result of active predation or scavenging. For example, the Common starfish (Asterias rubens) is used as a biological indicator to assess the physical disturbance of bottom-trawl activity causing arm damage and leaving severed remains scattered along the seafloor [76]. While active predation on sea stars may occur, foraging the severed limbs can explain the occurrences in the diet of Nephrops, including the detection of other benthic species.

Fish comprise an important component of the Nephrops diet [21, 23]. The capture of certain fish may present little effort for Nephrops but it is argued that the consumption of fish is subsidised from discards of commercial fishing activity [23, 77]. However, it is unclear what species contribute to their consumption. We found twelve species of fish in the gut of Nephrops but with low occurrences across our samples. Most fish species consumed are demersal or benthopelagic that are commonly found in the Northeast Atlantic with several species also distributed throughout the Western Atlantic. These include haddock (Melanogrammus aeglefinus), whiting (Merlangius merlangus), Norway pout (Trisopterus esmarkii) and European sprat (Sprattus sprattus) which were detected in the North and Irish Seas, while Atlantic herring, (Clupea harengus), common dab (Limanda limanda), European plaice (Pleuronectes platessa) and American plaice (Hippoglossoides platessoides) were only detected in the North Sea. Many of these fish are commercially valuable and they constitute a substantial proportion of discards each year that negatively affects sustainable exploitation. For example, the mean discard rate for the European plaice between 2013–2017 accounted for a staggering 71% of the total catches from the Celtic Sea and Bristol Channel alone [78]. This high rate of discard mortality is intensified by the adverse impact of bottom trawling of non-target fish communities, and this is demonstrated from the whiting fishery as Nephrops-directed otter trawls accounted for 98% (1,030 tonnes) of discards from the Irish Sea in 2020 [79]. Therefore, a considerable proportion of fisheries discards contribute an important food source for these marine scavengers that offer favourable opportunities for growth. However, biodiversity estimates will be biased by seasonal fisheries that alter the diversity that are available to Nephrops. Nevertheless, it is reasonable to consider biodiversity estimates of other naturally occurring species as a result of active foraging such as small demersal fish species with negligible discards or commercial importance (e.g., red bandfish, Cepola macrophthalma; dragonet, Callionymus lyra).

Our findings also revealed the presence of DNA from species that are likely to have been consumed through scavenging, such as jellyfish (Leuckartiara octona), octopus (Eledone cirrhosa), catshark (Scyliorhinus canicular), and dolphins (Phocoena phocoena, Lagenorhynchus albirostris). These species are known to inhabit the North Sea and Irish Sea, indicating that they are part of the native marine biodiversity in these regions. The detection of their DNA in the gut contents of Nephrops norvegicus underscores the generalist feeding behaviour of this crustacean, which includes opportunistic consumption of various food sources, such as carcasses and detritus containing tissue from these species.

This finding highlights the potential of Nephrops norvegicus as natural samplers for assessing local biodiversity, even for species that are not their primary prey. The presence of shark and dolphin DNA in their gut contents demonstrates the complex trophic interactions within marine ecosystems and provides valuable information on the role of Nephrops in these interactions. However, there is limited information available in the literature on similar patterns of crustaceans consuming or scavenging shark and dolphin tissue, emphasizing the novelty of our findings and the need for further research in this area. Future studies could explore the extent of scavenging behaviour in crustaceans and its implications for our understanding of marine food web dynamics and biodiversity assessments.

Pathogen surveillance

Further to biodiversity monitoring, diet analyses performed using DNA metabarcoding with universal primers has an advantage of also detecting parasites as non-target identifications, demonstrating that parasites can be readily amplified from gut samples [53]. Our approach allowed a survey of parasitic dinoflagellates (e.g., Hematodinium sp.) that infect a growing number of crustacean genera globally, many of which are exploited as commercial fisheries [80]. They are considered the most significant known pathogen of N. norvegicus [81, 82]. We recovered the presence of Hematodinium in the gut of Nephrops in over 50% of individuals collected from the North and Irish Seas. The significance of these detections may indicate Hematodinium-infection which presents a negative impact on their behaviour, but the difference was marginal (overall prey observations: infected: 298, 52%; uninfected: 271, 48%). This implies infected individuals were exposed to more food resources possibly due to longer foraging durations. While the detection and presence of the parasitic dinoflagellate Hematodinium may represent a major stressor to Nephrops, further research is required to determine both the abundance of prey consumed as well as the progression and developmental stage of the parasite [83]. No attempt was made to confirm positive infection from our Nephrops collection as this finding represents a serendipitous result, but it is reasonable to expect positive detections are true infections based on the high prevalence of Hematodinium-infected Nephrops [83, 84]. Nevertheless, it is important to monitor the prevalence of this pathogen as it negatively affects swimming performance and burrowing behaviour for Nephrops individuals that experience a greater number of burrow departures and increased foraging time during illuminated periods compared to uninfected individuals [84]. This parasite is known to affect the hosts’ behaviour indirectly through energy depletion [85] and an increased foraging time is essential to provide the nutritional requirements for the host and the parasite [84, 86]. We found a higher number of prey observations in Hematodinium-infected Nephrops compared to uninfected individuals, but infected individuals have a higher risk of predation and fishing mortality, which in turn can have a pronounced impact on productivity and commercial catch quantity and value [83, 87].

Implications for fisheries management

From a practical standpoint, the present results reveal important considerations for the assessment and management of these commercially valuable stocks. First, our gut content metabarcoding data clarifies complex food web structure by generating unparalleled resolution of trophic interactions, and this helps to overcome fragmented data with low resolution that has blurred existing ecosystem models of North Sea Nephrops to support an ecosystem approach to fisheries management [4]. Previous models were unable to acknowledge the significance of Nephrops feeding strategy through both suspension and active feeding for survival, revealed here with DNA based methods. Second, fisheries discards appear to play an important role in Nephrops nutrition as the fish species consumed are also among the highest recorded in discards from commercial fishing operations. The capture method used by commercial trawling (i.e., bottom trawling) will enable the rapid exploitation of fish species and indiscriminately catch non-target species which then become discarded and can eventually supply the Nephrops diet. However, while reducing bycatch and discarding remain conservation priorities, it is also crucial to understand and anticipate the potential consequences of reducing discards for species that have become reliant on them which may play an important structuring role for Nephrops as well as other taxa [88]. Last, it is difficult to ignore the strong pattern of Hematodinium sp. abundance among samples as this parasitic dinoflagellate is known to affect the burrow emergence behaviour of Nephrops [84] and negatively impacts the quality of the meat which can render them unmarketable and cause a significant economic loss to fisheries (estimated between GBP 2–4 million, [81, 83, 84, 89]). Further study is required to investigate the spatial and temporal prevalence patterns of Hematodinium-infected Nephrops as this will be a particularly important consideration for transferability [90] and the release of hatchery reared individuals in appropriate locations [91]. Given the added value of data from gut content metabarcoding we are in a position to radically improve the biological inference of Nephrops which can be implemented in ecosystem models to provide a greater understanding of trophic links with discards and help develop tailored management of this unique component of marine biodiversity.

Conclusion

DNA metabarcoding offers enhanced taxonomic resolution in Nephrops dietary profiles beyond traditional morphology-based approaches and stable isotopes. The development of DNA metabarcoding-based inferences recently proposed using organisms to act as natural samplers for biodiversity assessments. We utilised the gut contents of Nephrops to characterise local biodiversity and estimate the prevalence of Hematodinium infected individuals. Our results show a strong dietary overlap in invertebrates, fish, algae, and other taxa from the North and Irish Seas and strengthen recent work indicating the significance of suspension feeding observed in Nephrops. Their generalist foraging behaviour allowed detection of indicator species used in routine environmental impact assessments and revealed the consumption of fish species associated with the high rate of discards. Importantly, DNA metabarcoding can complement, rather than fully replace, traditional gut content and stable isotope methodologies, as multi-trophic marker approaches provide a more holistic view of trophic dynamics. These patterns expand our understanding of Nephrops trophic ecology and offer interesting perspectives in methodological applications that indicate further avenues of research. Moreover, our findings underscore the potential importance of some "secondary" or unexpected prey items in the Nephrops diet, suggesting that further research is needed to explore these dietary components in greater detail.

Supporting information

S1 Fig. Multidimensional Scaling (MDS) plot of diet variation of Nephrops norvegicus between sites, E: East (North Sea); Ir: Irish Sea; W: West (North Sea).

(TIF)

Acknowledgments

We thank the following for their help during the project; Edward Whittle of Whitby Seafoods for providing Nephrops samples; Mike Roach (SES Hull) for help with collection and dissection of animals used in this study; Robert Donnelly for technical assistance in the lab. Finally, we thank two anonymous reviewers for their constructive comments that improved the manuscript.

Data Availability

Raw Illumina sequences can be found on NCBI’s SRA database BioProject ID: PRJNA911567. The data set including MOTUs, taxonomic assignment, abundances as well as OBITools bioinformatics scripts, R scripts, and sample barcodes are available in the GitHub repository (https://github.com/shump2/Nephrops-diet).

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Lee W Cooper

11 Apr 2023

PONE-D-23-04632DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean, Nephrops norvegicusPLOS ONE

Dear Dr. Shum,

Thank you for submitting your manuscript to PLOS ONE. I have now received two reviews of the manuscript, and I think the reviewers have provided some constructive comments that once addressed, will help improve the communication of the information in the paper. Note that one of the reviews was submitted as an attachment that should be included in this communication. I am inviting you to submit a revised version of the manuscript that addresses the points raised during the review process. While the reviewers both stated that they consider a major revision necessary, after reviewing their comments, the revisions that seem necessary may not be that difficult to accomplish and I hope you will be able to return a revised manuscript with consideration of the changes that the reviewers recommend.

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Reviewer #1: Overall, the paper is really interesting and provides evidence to fill gaps in our knowledge about the foraging strategy and food web dynamics of a commercially important species, Nephrops norvegicus. However, the major concerns are about the clarity, scope and focus of the paper and how the data are presented. It would be helpful to maintain a clear focus on the diet rather than tangents about other interesting taxa identified through metabarcoding. One suggestion is reworking the title to include trophic dynamics and host-parasite relationships revealed through DNA metabarcoding. Another suggestions is that the primary points to focus on in the discussion could be streamlined to 1) prevalence of MOTUs that support the hypothesis of suspension feeding by Nephrops, 2) evidence of the utilization of fisheries discard in Nephrops diet and 3) noting the widespread presence of a parasitic dinoflagellates known to infect lobsters. There is a lot of other information in here that just dilutes these main points, for me. Overall, the paper could use some clarity on the choice of taxonomic classifications throughout. This was particularly the case in the "prey consumption" section and Fig 3, where I provide some examples of where things got a bit confusing for me.

While the methods indicate that non-target taxa were removed, I'm not sure I agree with the decision to keep some taxa. Fungi and various vertebrates for examples - are they really dietary items or simply present in the environment? For example, could this be seabird and marine mammal fecal matter making its way into SPOM? Is there inadvertent consumption of detritus or is it more likely that they scavenge on these dead animals on the seafloor? Are the authors concerned with identifying every single thing they might have consumed (rare occurrences and highly opportunistic) or their primary prey items?

Section starting on line 248 - Although unlikely diet items were excluded (e.g. Insecta), this still reads like a laundry list of DNA fragments rather than actual prey items. How will this inform management decisions to know that occasionally these items end up being consumed or perhaps live inside of the organisms (or within the prey item) ? It is interesting to see but I think there could be another level of discrimination on what makes the cut for analysis.

Line 251 - distinction between "alga" and "protist" is not clear

Line 253 - suggest replacing alga MOTUs with "Overall, MOTUs representing various phytoplankton taxa..."

Line 258 - "algae" can also be protists (e.g. diatoms). Do you mean chlorophytes or green algae?

Line 259 - add "(common starfish)" and "(common sunstar)" after Latin names. Throughout the paper it would be more reader friendly to include the common names if they have them, especially when first introduced. I had to look up numerous species while reviewing and/or they were mentioned later in the paper.

Line 261 - I am not convinced fungi should be included as a prey item. See review of marine fungi by Gladfelter et al. 2019 (https://doi.org/10.1016/j.cub.2019.02.009). Is it more likely that the lobsters are serving as host to the marine fungi rather than consuming it as prey? Or perhaps it is a signature from the microbial loop? It seems there are interesting potential contributions from these types of studies to elucidating the presence and distribution of marine fungi but I think treating it as prey here (same for the parasitic dinoflagellates) is not appropriate - but maybe worth mentioning separately.

Line 272- Suggest replacing "alga" with "Several macroalga species were identified including the brown Forkweed".. and a "common red alga"

Line 282 - this statement is a bit of an oversimplification of what the results show. Did they effectively utilise all of these different taxa? I'm not convinced. It is clear that they are using dinoflagellates and other phytoplankton via suspension feeding and some benthic invertebrates, and opportunistically scavenging on fish and maybe other larger vertebrates. The broad use of the term "algae" throughout this paper needs attention. "Algae, diatoms". Diatoms are algae. Perhaps you could say macroalgae and phytoplankton. Is that what is meant?

Line 286 - Couldn't any suspension feeder likely be capable of showing the snapshot of local biodiversity that Nephrops has? Similar to eDNA, suspension feeders and really many other sessile benthic invertebrates are probably picking up DNA fragments from many organisms in the ecosystem including those they are not actually consuming as prey via SPOM composition.What makes Nephrops unique here (acknowledging the section in the discussion, this still would be an important point to make)? Have you looked at DNA metabarcoding studies of other animals in the region? It may be common to get this mishmash of diversity in genetic readings among the seafloor community.

Line 325 - given the prevalence of dinoflagellates and diatoms, what about a eukaryotic 18s rRNA primer?

Line 382-384 - This point is one that was most interesting for me. I would suggesting bringing Fig S2 from supplementary into the paper. This is a strong finding from this technique, which I think could be highlighted better. The other two figures show a lot of information to convey a diverse diet but perhaps contain many MOTUs that are not actually prey items but rather parasitic or were unintentionally consumed.

Line 547 - could also mention that DNA metabarcoding shows promise to enhance, not fully replace, gut content and stable isotope methodologies (i.e., multi trophic marker approaches provide a more holistic view of trophic dynamics).

Figure 3 - The taxonomic groups in the pie charts are a bit confusing. Some are classes, while some are kingdoms. The figure caption states that it shows the relative proportion of phyla in each group... I'm lost. The 22 "categories" are all classes. Could you use broader, more common names for groups ("Invertebrates", "Vertebrates", "Phytoplankton", "Macro algae", "Fungi" etc) and stick with classes for the categories?

Does the Malacostraca category here include the Nephrops assignments that were identified and likely from the organism itself? If so, this should probably be excluded (acknowledging the authors state that cannibalism is maybe possible - seems like you have solid justification to omit this). Same comments apply here related to previous about the inclusion of fungi. If the authors think that it should be included, I would prefer to see some supporting references explaining this and stronger justification.

Do the dinoflagellates include the parasitic species (Hematodinium sp.)? If so, should it? How does infection occur? Through consumption (intentional or not) or by some other means?

I get the primary point of this figure but think it is a bit complicated way of showing it.

Figure 4 - why are some but not all nodes labeled with species? Similarly, I get the point of this figure but it feels a bit complicated. Fig S1 also shows the overlap among sites and that the East (North Sea) site had more unique reads. Not quite as fancy as Fig 4 but this one is easier to understand for me (although the venn diagram helps to clarify what you are showing in Fig 4).

Reviewer #2: I have provided comments for the authors in the attached document. The document includes both minor and major comments that relate to the above questions and other components of the submitted manuscript.

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Reviewer #2: No

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Attachment

Submitted filename: PLOS Review Norwegian Lobsters.docx

PLoS One. 2023 Nov 1;18(11):e0289221. doi: 10.1371/journal.pone.0289221.r002

Author response to Decision Letter 0


1 Jun 2023

Reviewer #1: Overall, the paper is really interesting and provides evidence to fill gaps in our knowledge about the foraging strategy and food web dynamics of a commercially important species, Nephrops norvegicus. However, the major concerns are about the clarity, scope and focus of the paper and how the data are presented. It would be helpful to maintain a clear focus on the diet rather than tangents about other interesting taxa identified through metabarcoding. One suggestion is reworking the title to include trophic dynamics and host-parasite relationships revealed through DNA metabarcoding. Another suggestions is that the primary points to focus on in the discussion could be streamlined to 1) prevalence of MOTUs that support the hypothesis of suspension feeding by Nephrops, 2) evidence of the utilization of fisheries discard in Nephrops diet and 3) noting the widespread presence of a parasitic dinoflagellates known to infect lobsters. There is a lot of other information in here that just dilutes these main points, for me. Overall, the paper could use some clarity on the choice of taxonomic classifications throughout. This was particularly the case in the "prey consumption" section and Fig 3, where I provide some examples of where things got a bit confusing for me.

Thank you for your insightful comments and suggestions for improving the clarity, scope, and focus of our paper. We appreciate your interest in our research and your acknowledgment of its potential contribution to the knowledge of the foraging strategy and food web dynamics of Nephrops norvegicus.

While we understand your concerns about maintaining a clear focus on diet, we believe that the incorporation of the biodiversity assessment is a serendipitous result and is an important aspect of the study. The DNA metabarcoding approach used in our study allows us to investigate not only the diet but also the broader biodiversity within the sampling area, which we believe adds value to the research.

We will, however, take your suggestions into consideration and work to improve the clarity and presentation of the taxonomic classifications throughout the manuscript, particularly in the "prey consumption" section and Figure 3.

Again, we appreciate your feedback and will use it to strengthen our manuscript while maintaining the inclusion of both diet and biodiversity assessment components.

While the methods indicate that non-target taxa were removed, I'm not sure I agree with the decision to keep some taxa. Fungi and various vertebrates for examples - are they really dietary items or simply present in the environment? For example, could this be seabird and marine mammal fecal matter making its way into SPOM? Is there inadvertent consumption of detritus or is it more likely that they scavenge on these dead animals on the seafloor? Are the authors concerned with identifying every single thing they might have consumed (rare occurrences and highly opportunistic) or their primary prey items?

We appreciate the reviewer's concerns regarding the inclusion of certain taxa in our analysis. Our decision to remove non-target taxa from the dataset was based on two criteria: 1) We removed all reads assigned to N. norvegicus, considering them as host contamination. While cannibalism is a possibility, we cannot distinguish between cannibalism and host contamination based on our molecular assessment. Consequently, we adopted a conservative approach by excluding these reads. 2)We excluded MOTUs associated with terrestrial species, humans, Canidae, and insects, as these categories are frequently present in laboratory settings and their detection may indicate inadvertent contamination during the sample processing. The remaining taxa were considered dietary items, classified as either primary or secondary, after our initial screening. These items were found in the animals' guts and should therefore be considered present. However, the exact manner in which certain MOTUs, such as fungi, were consumed is unclear. It is unknown whether these items were actively ingested or inadvertently consumed through suspension feeding, and we can only speculate about their mode of consumption. We understand the reviewer's interest in focusing on primary prey items, but we believe that reporting all potential dietary items provides a more comprehensive view of the feeding habits of N. norvegicus. Further studies could investigate the ecological relevance of the identified taxa in more detail, allowing for a better understanding of their importance in the diet of these animals.

Section starting on line 248 - Although unlikely diet items were excluded (e.g. Insecta), this still reads like a laundry list of DNA fragments rather than actual prey items. How will this inform management decisions to know that occasionally these items end up being consumed or perhaps live inside of the organisms (or within the prey item) ? It is interesting to see but I think there could be another level of discrimination on what makes the cut for analysis.

Thank you for your insightful comments regarding our presentation of dietary items detected in the Nephrops samples. We have revised the prey composition paragraph in the results section, placing more emphasis on ecologically relevant prey items and providing a clearer comparison of the different collection sites. We have chosen to include less likely dietary items, such as various Fungi and vertebrates, to provide a comprehensive understanding of the feeding habits of Nephrops across different geographical locations. However, we have made it clear that our primary focus is on the most significant prey items to better inform management decisions. We appreciate your suggestion that there could be another level of discrimination on what makes the cut for analysis. Future studies could further investigate the ecological relevance of these taxa to better comprehend their importance in the diet of these animals and inform management decisions accordingly. We hope that these revisions address your concerns and improve the clarity and focus of our study.

Line 251 - distinction between "alga" and "protist" is not clear

Thank you for pointing out the unclear distinction between "alga" and "protist" in our results. We acknowledge that distinguishing between these two groups can be challenging due to their overlapping characteristics. In light of your comment, we have revised the text to combine algae and protists into a single category, now stating that we detected 17 Fungi, 15 vertebrates, 15 invertebrates, and 11 algae/protists within the samples. We believe this revision more accurately represents the findings and addresses your concerns about the distinction between these groups.

Line 253 - suggest replacing alga MOTUs with "Overall, MOTUs representing various phytoplankton taxa..."

Corrected.

Line 258 - "algae" can also be protists (e.g. diatoms). Do you mean chlorophytes or green algae?

We have adjusted this to incorporate “algae/protists”.

Line 259 - add "(common starfish)" and "(common sunstar)" after Latin names. Throughout the paper it would be more reader friendly to include the common names if they have them, especially when first introduced. I had to look up numerous species while reviewing and/or they were mentioned later in the paper.

We have added the common names to allow a better flow of reading.

Line 261 - I am not convinced fungi should be included as a prey item. See review of marine fungi by Gladfelter et al. 2019 (https://ddec1-0-en-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=https%3a%2f%2fdoi.org%2f10.1016%2fj.cub.2019.02.009&umid=7ba311a5-88ab-403a-969e-14cfefd17bbf&auth=6b639a990a359ff1d6cc8761081d57748ce3c81e-6ae644f8a94890c9e2a081dfecdf703679331ce1). Is it more likely that the lobsters are serving as host to the marine fungi rather than consuming it as prey? Or perhaps it is a signature from the microbial loop? It seems there are interesting potential contributions from these types of studies to elucidating the presence and distribution of marine fungi but I think treating it as prey here (same for the parasitic dinoflagellates) is not appropriate - but maybe worth mentioning separately.

We understand your concerns about treating Fungi as dietary components, given the possibility that they could be either hosted by the lobsters or originate from the microbial loop. However, we believe that their presence in the gut of Nephrops is an important aspect of their trophic ecology and should not be overlooked.

Although it may be more likely that some Fungi are consumed as secondary prey or through filter feeding, similar to dinoflagellates, their presence in the gut cannot be disregarded. In fact, there are studies demonstrating that Fungi are consumed by marine animals, such as the study by Mattson (1988), which reported the occurrence and abundance of eccrinaceous fungi (Trichomycetes) in brachyuran crabs from Tampa Bay, Florida.

Given the potential contributions of these types of studies to elucidating the presence and distribution of marine Fungi, we have chosen to include them in our analysis. However, we acknowledge that the interpretation of their role in the diet of Nephrops may warrant further investigation. Thank you for your insightful comments on the inclusion of Fungi as prey items in our study.

However, we believe that addressing this point in detail is beyond the scope of our current study. Our primary focus is to provide a comprehensive overview of the dietary profiles of Nephrops and their trophic ecology based on the available data. While we recognize the potential importance of Fungi and their alternative roles in the diet of Nephrops, any further comment on this subject would be speculative without additional research.

Line 272- Suggest replacing "alga" with "Several macroalga species were identified including the brown Forkweed".. and a "common red alga"

We adjusted the text to: “Microalga species identified were the brown Forkweed alga (Dictyota dichotoma, O/G = 0.04) and red alga (Ahnfeltia plicata, O/G = 0.08).”

Line 282 - this statement is a bit of an oversimplification of what the results show. Did they effectively utilise all of these different taxa? I'm not convinced. It is clear that they are using dinoflagellates and other phytoplankton via suspension feeding and some benthic invertebrates, and opportunistically scavenging on fish and maybe other larger vertebrates. The broad use of the term "algae" throughout this paper needs attention. "Algae, diatoms". Diatoms are algae. Perhaps you could say macroalgae and phytoplankton. Is that what is meant?

We understand that you may have reservations about the inclusion of certain taxa in the dietary profile of Nephrops. However, our study presents DNA evidence that supports the presence of these various taxa in the diet. While we acknowledge that some items may be more prevalent or ecologically relevant than others, the comprehensive overview provided in our findings is based on the detected DNA and cannot be disregarded.

In response to your suggestion regarding the clarification of terms, we have revised the statement in question to distinguish between macroalgae and phytoplankton, such as diatoms. The updated statement reads:

"Our results indicate an opportunistic strategy that allows these generalist crustaceans to effectively utilize a wide range of food sources. These sources include macroalgae, phytoplankton (such as diatoms), fish, crustaceans, molluscs, echinoderms, nemerteans, polychaetes, mammals, fungi, and other taxa."

We hope this revision addresses your concerns and provides a clearer representation of the diverse food sources utilized by Nephrops.

Line 286 - Couldn't any suspension feeder likely be capable of showing the snapshot of local biodiversity that Nephrops has? Similar to eDNA, suspension feeders and really many other sessile benthic invertebrates are probably picking up DNA fragments from many organisms in the ecosystem including those they are not actually consuming as prey via SPOM composition.What makes Nephrops unique here (acknowledging the section in the discussion, this still would be an important point to make)? Have you looked at DNA metabarcoding studies of other animals in the region? It may be common to get this mishmash of diversity in genetic readings among the seafloor community.

We agree that any suspension feeder could potentially show a snapshot of local biodiversity, similar to eDNA. In our study, we focus on Nephrops, as their generalist feeding behaviour allows us to explore the diversity of the surrounding ecosystem.

Indeed, there are recent studies, such as Weber et al. (2022) and Siegenthaler et al. (2019), which utilize the feeding behaviour of other organisms to sample biodiversity. We have acknowledged and discussed these studies in our manuscript. We also note that suspension feeders may consume particulate matter unintentionally, as highlighted by our reference to Santana et al. (2020).

The unique aspect of Nephrops is their ability to use both active foraging and filter-feeding strategies, allowing them to efficiently sample local biodiversity. In our study, we were able to identify taxonomic groups responsible for filter feeding and active/scavenging in the diet, demonstrating the potential for using Nephrops as a tool to study biodiversity.

Our paper's primary objective is to showcase how the dietary data of Nephrops can be conceptualized beyond just feeding ecology to provide a broader view of local biodiversity. We appreciate your input and believe that it strengthens the context of our study.

Line 325 - given the prevalence of dinoflagellates and diatoms, what about a eukaryotic 18s rRNA primer?

We have included a reference to Weber et al. 2022 who designed and tested nine 18S rRNA primer pairs for mussel natural sampler DNA.

Line 382-384 - This point is one that was most interesting for me. I would suggesting bringing Fig S2 from supplementary into the paper. This is a strong finding from this technique, which I think could be highlighted better. The other two figures show a lot of information to convey a diverse diet but perhaps contain many MOTUs that are not actually prey items but rather parasitic or were unintentionally consumed.

We agree that this is a strong finding from our study and appreciate your input on highlighting it better.

In order to expand on this point, we can elaborate on the implications of suspension feeding in Nephrops, such as its role in energy transfer within the ecosystem and how it may influence the local food web structure. Furthermore, we can discuss the potential benefits of suspension feeding for Nephrops, including resource utilization and adaptability to changes in prey availability. We can also explore the idea that the presence of parasitic or unintentionally consumed taxa in our results might reflect the diverse array of organisms encountered by Nephrops in their environment, offering a broader perspective on the local biodiversity.

As suggested, we will move Figure S2 from the supplementary material to the main paper to better emphasise this finding. We appreciate your constructive feedback, and we believe incorporating these changes will strengthen our study's presentation.

Line 547 - could also mention that DNA metabarcoding shows promise to enhance, not fully replace, gut content and stable isotope methodologies (i.e., multi trophic marker approaches provide a more holistic view of trophic dynamics).

We agree that incorporating a multi-trophic marker approach can provide a more holistic view of trophic dynamics, and we revised the text accordingly.

“Importantly, DNA metabarcoding can complement, rather than fully replace, traditional gut content and stable isotope methodologies, as multi-trophic marker approaches provide a more holistic view of trophic dynamics.”

Figure 3 - The taxonomic groups in the pie charts are a bit confusing. Some are classes, while some are kingdoms. The figure caption states that it shows the relative proportion of phyla in each group... I'm lost. The 22 "categories" are all classes. Could you use broader, more common names for groups ("Invertebrates", "Vertebrates", "Phytoplankton", "Macro algae", "Fungi" etc) and stick with classes for the categories?

Thank you for pointing out the inconsistency in our figure caption. We agree that the taxonomic groups should be more consistent. We have revised the figure caption to better represent the taxonomic levels of the groups. While we understand your suggestion to use broader, more common names for groups, we have decided to maintain the current scientific groupings to avoid over cluttering the figure and to ensure consistency in presentation.

Does the Malacostraca category here include the Nephrops assignments that were identified and likely from the organism itself? If so, this should probably be excluded (acknowledging the authors state that cannibalism is maybe possible - seems like you have solid justification to omit this). Same comments apply here related to previous about the inclusion of fungi. If the authors think that it should be included, I would prefer to see some supporting references explaining this and stronger justification.

To clarify, the Malacostraca category in our analysis and figures does not include Nephrops assignments that were identified and likely from the organism itself. The sequences for Nephrops were removed from the data before analyzing their dietary items.

Regarding the inclusion of fungi, we have discussed this point in a previous response, and we have decided to include it as a consumed diet item as we are unable to disregard it as a food item. Fungi have been found in the gut contents of other marine invertebrates, supporting their potential role in the diet (e.g., Mattson, R.A., 1988. Journal of crustacean biology, 8(1), pp.20-30). As such, we believe it is essential to consider fungi in our study to provide a comprehensive understanding of Nephrops trophic ecology.

Do the dinoflagellates include the parasitic species (Hematodinium sp.)? If so, should it? How does infection occur? Through consumption (intentional or not) or by some other means?

Yes the dinoflagellates in our analysis include the parasitic species Hematodinium sp. While the exact route of infection remains unclear, there is evidence to suggest that ingestion, either intentional or unintentional, could play a role in the transmission of the parasite. For instance, Hamilton et al. (2012) observed that Hematodinium sp. can be present in the gut contents of various crustaceans, suggesting the possibility of ingestion as a transmission route.

Moreover, other studies have proposed that Hematodinium sp. may use intermediate hosts, such as copepods or other crustaceans, for transmission (e.g., Small, H.J., 2012. Advances in our understanding of the global diversity and distribution of Hematodinium spp. - significant pathogens of commercially exploited crustaceans. Journal of Invertebrate Pathology, 110(2), pp.234-246). In this case, consumption of infected intermediate hosts by Nephrops could also lead to the ingestion of the parasite.

Given the uncertainty surrounding the route of infection and the potential role of ingestion in transmission, we believe it is appropriate to include Hematodinium sp. in our analysis. However, we acknowledge the need for further research to better understand the transmission dynamics of this parasite in marine ecosystems.

I get the primary point of this figure but think it is a bit complicated way of showing it.

We appreciate your perspective and understand that the figure may appear complicated at first glance. However, with the adjusted caption, we believe it provides a comprehensive overview of the data and effectively communicates the primary point.

Figure 4 - why are some but not all nodes labeled with species? Similarly, I get the point of this figure but it feels a bit complicated. Fig S1 also shows the overlap among sites and that the East (North Sea) site had more unique reads. Not quite as fancy as Fig 4 but this one is easier to understand for me (although the venn diagram helps to clarify what you are showing in Fig 4).

The purpose of figure 4 is to emphasize certain species of interest, specifically vertebrates and some invertebrates mentioned throughout the manuscript. Figure S1 does show the overall overlap of the Nephrops diet across sites, it does not effectively convey the importance of common or unique species diet items, which is a key aspect of our research. We believe Figure 4 is essential for illustrating these relationships, and although it may appear complex, we think that it effectively conveys the necessary information. We believe that the added complexity of Figure 4 is justified by the additional information it conveys.

Reviewer #2: I have provided comments for the authors in the attached document. The document includes both minor and major comments that relate to the above questions and other components of the submitted manuscript.

Review – POME-D-23-04632 – DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean Nephrops norvegicus

Overview:

Overall, this is a nice informative manuscript that is using new techniques to provide information on the diet of an important crustacean. While the manuscript provides good data, I think there are some edits that would greatly improve it, particularly in the discussion and introduction where more details could be added. Major and minor comments are listed below.

We thank the reviewer for their interest in the study and the suggestions which will improve the manuscript.

Major comments:

Check overall reference style for PLOS submitting. I believe they use numbers to identify in text citations. Also be sure to be consistent, in some places in the in text citations you italicize et al. and in other places you don’t. Please confirm the style on the PLOS style guide.

Our revised version takes into account the PLOS style guide.

Line 127 – What defines the East and the West of the North Sea? Do you have specific coordinates that separate them? A map here would be helpful to include as a figure to show the breakdown of where the samples are coming from geographically.

Thank you for your suggestion regarding the inclusion of a map to show the geographic breakdown of the sample locations. We understand the importance of providing clear spatial information for the samples collected.

However, due to the nature of our collaboration with commercial vessels, we were not provided with specific coordinates for the catch locations. While the fishermen assured us that the samples were collected from the specified east and west regions of the North Sea, they were unable to disclose the exact coordinates due to confidentiality concerns.

In light of this, we are unable to provide a detailed map with precise locations. Nonetheless, we will make sure to clarify this limitation in the methodology section to ensure transparency and provide context to the reader.

Line 177-179 I am a little unclear here, is this the species diversity of the sites that were sampled and what you would expect to find there or the species diversity of the organisms found as prey inside of the lobsters? If it is species diversity at the overall site, where did that data come from?

The species diversity we are referring to in this section is related to the organisms found as prey inside Nephrops, not the overall site diversity. The rarefaction and extrapolation sampling curves, along with the estimation of total species richness (Sest) for each collection site, were performed based on the gut content data obtained from our Nephrops samples. We will revise the text to make this point clearer and avoid any further misunderstanding.

Line 217-219 Be careful of interpretation in the results section. Here, I would just state that the rarefaction curves failed to reach saturation for each group. Save the part of the sentence that says this implies increased sampling… for the discussion section of the paper.

We understand your concern about interpretation in the results section. However, we believe that mentioning the implication of the rarefaction curves not reaching saturation in this section provides context and facilitates a smoother flow of reading for the reader. We will ensure that further discussion and interpretation related to this point are reserved for the discussion section.

Line 234-235 How were these percentages calculated? The supplemental table and figure help, but don’t fully explain where those results come from. I would also mention the low sampling resolution in the discussion, not hear in the results section.

We have taken your feedback into account and revised our approach for greater clarity. Now, we employ Pianka's Niche Overlap Index to quantify dietary overlap between different sites, as these percentages more accurately reflect this aspect of our study.

The revised lines 234-235 now read:

"Dietary overlap among Nephrops across different sites is notably substantial, as illustrated in Figure S1. Utilizing Pianka's Niche Overlap Index, we found that pairwise dietary overlaps were 68% between the East and Irish sites, 70% between the East and West sites, and 87% between the Irish and West sites."

We retained our comment regarding the low sample resolution in the results section as this statement serves to provide context for the interpretation of our results.

White beaked dolphins were found in the prey items of the lobster? Would you expect this that they would be prey upon dolphins, or is it material they are scavenging? Is there other evidence for mammal material in lobsters or other crustaceans? Please elaborate in the discussion about finding mammal DNA in the gut contents.

We acknowledge that it is highly unlikely that Nephrops prey upon dolphins directly. Instead, we believe that the presence of dolphin DNA in the gut contents could be due to scavenging on carcasses or consumption of detritus containing dolphin tissue.

Although there is limited literature on crustaceans scavenging on marine mammals, the opportunistic feeding behavior of Nephrops norvegicus allows them to consume a wide variety of food sources. Our study provides a unique insight into the potential for crustaceans to scavenge on marine mammal remains, thus contributing to our understanding of trophic interactions in marine ecosystems.

In light of your comment, we will elaborate further on this finding in the discussion section, emphasising the potential for scavenging as the primary source of mammal DNA in the gut contents and the implications for our understanding of Nephrops norvegicus diet and its role in local biodiversity assessments.

Line 286-287 What constitutes a high rate of infection? Are their known concentrations of the diatom in the area? Is it high compared to the relative abundance of the diatom or is it high compared to other available prey items that were found from barcoding?

The high rate of infection refers to the high proportion of infected Nephrops individuals in our samples, with over 50% of the sampled individuals found to be infected by the parasitic dinoflagellate Hematodinium. This rate is not in reference to the relative abundance of the dinoflagellate in the area or in comparison to other available prey items detected through barcoding. We have clarified this in the text.

Line 321-322 If there are reports of cannibalism, why assume it is host contamination? Because of the higher value (98%)? Please elaborate more on why it was appropriate to treat it as host contamination since there is evidence of cannibalism in the species.

In our initial statement, we may not have adequately explained our rationale for considering these sequences as host contamination. The primary reason for treating the high proportion of Nephrops-derived sequences (over 98% of the data) as host contamination was the inability to confidently distinguish between true cannibalistic events and host contamination in our genetic dataset. Given this uncertainty, we opted for a conservative approach by disregarding these sequences to avoid potential overestimation of cannibalistic behavior in our study.

We have updated our statement in the manuscript as follows:

"Consequently, we generated high sequencing depth with over 18 million sequencing reads but found that over 98% of the data was assigned to Nephrops. Although there are reports of cannibalism between conspecifics (Sardà & Valladares, 1990), we could not confidently distinguish between true cannibalistic events and host contamination in our genetic dataset. Therefore, we conservatively treated these sequences as host contamination and disregarded them in our analysis."

We hope this clarification addresses your concern and provides a better understanding of our decision to treat Nephrops-derived sequences as host contamination in our study.

Minor comments:

Line 59: Should faeces be feces?

It is the British-English spelling.

Line 58-62 Consider switching the order of these two sentences.

Corrected.

Line 106 Add commas around “especially by females”

We appreciate the suggestion to add commas around "especially by females." However, we believe that the current sentence structure sufficiently conveys the intended meaning without additional emphasis. The context makes it clear that the suspension feeding strategy is particularly used by female Nephrops during the breeding period. As such, we have chosen to maintain the original sentence structure.

Line 106- When is the long breeding season? Does it correspond to when the samples were collected – see if they have a discussion on sex related and timing related prey identification

We have included information about the Nephrops breeding season, which lasts from late spring to early autumn. However, it is important to note that our samples were collected in January, outside of the breeding season. Therefore, we cannot make a direct connection between sex-related or timing-related prey identification and the breeding season in this study. We hope this clarifies any concerns regarding the timing of sample collection and its relation to the breeding season.

Line 107 Did the Santana et al. 2020 paper find this on samples collected during the long breeding time? It might be nice to include what time of year their samples came from for even further context about when they suspension feed.

Santana et al. (2020) collected their samples during the spring, which coincides with the breeding season. However, their study found no differences between male and female Nephrops in terms of their feeding habits during this time. We can include this information in the manuscript for further context on the suspension feeding behavior of Nephrops during their breeding season, as you suggested

Line 118-120 This sentence seems to have two separate ideas and is a little bit hard to follow. Can you please revise, perhaps break it into two separate sentences.

We have revised it to make it easier to understand and separated it into two sentences. The revised statement reads:

"Nephrops are a generalist forager and highly commercial benthic crustacean. Utilizing a molecular approach, we can consider them as unique natural biodiversity samplers, offering valuable insights into their ecosystem."

We believe that this revision clearly conveys the two ideas and should improve the readability of the text.

Line 133 Can you provide manufacturer details beyond just the website? Location of company? Same for BIOO Scientific on line 152.

We understand the importance of providing appropriate manufacturer details. However, since the companies for BIOO Scientific have changed and to avoid any confusion, we decided to remove the website link and BIOO Scientific from the text. We believe that readers can use their initiative to look up the updated information about the products mentioned in the manuscript.

Line 182 Before using MOTU, please define what that acronym means.

We define a MOTU at line 166 in the original draft of the manuscript at first instance of the Materials and methods section.

Line 190 Is that the same version of R as previously mentioned on line 183?

Yes but our reference here is not the R core environment, it’s to the package geomnet.

Line 204 What are the positive and negative controls?

Corrected.

Line 211 Can remove “With a modest number of remaining reads” and start the sentence with “We considered data…”.

Corrected.

Line 220 Add ‘and’ between 49% and 46%

Corrected.

Attachment

Submitted filename: Response.docx

Decision Letter 1

Lee W Cooper

4 Jul 2023

PONE-D-23-04632R1DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean, Nephrops norvegicusPLOS ONE

Dear Dr. Shum,

Thank you for re-submitting your manuscript to PLOS ONE. Both of the prior reviewers have made a second evaluation and one of these reviewers has made a few additional suggestions that are primarily editorial and do not affect the scientific value of the contribution, but I agree will make the contribution more scientifically sound. Therefore, I'd ask you to consider their suggestions as a final step to improve the manuscript and make it acceptable for publication. Taking into account these suggestions, please submit a revised version of the manuscript that addresses these final points raised during the review process.

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Reviewer #1: Thank you for the chance to review this resubmission. I have a few minor editorial comments that should be addressed:

- The in-text citations need to be adjusted. There are unnecessary parentheses and the number order is inconsistent. For example ((46), (44)) should be (44, 46). Please correct this throughout the manuscript.

- I recommend abbreviating the site names for the North Sea. East North Sea to ENS and West North Sea to WNS. The way it is written at times makes it seem like you could be referring to a "West Sea". For examples, "the West and Irish Sea". There also several instances throughout where a direction (West of Ireland) is capitalised and does not need to be.

- Species should be italicised in the references.

- When referencing a specific paper in the text such as Santana et al. 2020, leave out the year and just insert the citation number. "Santana et al. (23) showed that...." See line 102 but there are at least one or two other occurrences.

- Line 100: put a period after "i.e., suspension feeding". Then start a new sentence "Suspension feeding is thought to be used especially by females..."

- Line 424: Should be "Southern Ocean" not "Antarctica ocean"

- Figure S2 was removed entirely rather than brought into the manuscript as was noted in a response to a previous comment. Was this intentional? I can't access the previous version or see tracked changes but believe the figures are the same as the original submission.

- In order to address concerns raised by both reviewers, it may also be useful to add a statement in the conclusion that suggests further research is needed to explore the role of some of the "secondary" or unexpected prey items found in the Nephrops diet in greater detail.

Reviewer #2: All of my original concerns have been addressed and this paper should be considered for acceptance.

**********

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Reviewer #1: Yes: Chelsea W. Koch

Reviewer #2: No

**********

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PLoS One. 2023 Nov 1;18(11):e0289221. doi: 10.1371/journal.pone.0289221.r004

Author response to Decision Letter 1


12 Jul 2023

Thank you for re-submitting your manuscript to PLOS ONE. Both of the prior reviewers have made a second evaluation, and one of these reviewers has made a few additional suggestions that are primarily editorial and do not affect the scientific value of the contribution, but I agree will make the contribution more scientifically sound. Therefore, I ask you to consider their suggestions as a final step to improve the manuscript and make it acceptable for publication. Taking into account these suggestions, please submit a revised version of the manuscript that addresses these final points raised during the review process.

We have now evaluated the reviewers' comments (as per below) and believe the points raised are now satisfactory. In light of the review process, we acknowledge the reviewers anonymously for their comments.

Comments to the Author

Reviewer #1: Thank you for the chance to review this resubmission. I have a few minor editorial comments that should be addressed:

• The in-text citations need to be adjusted. There are unnecessary parentheses, and the number order is inconsistent. For example, [(46), (44)] should be [44, 46]. Please correct this throughout the manuscript.

We have made corrections with citations enclosed in square brackets [].

• I recommend abbreviating the site names for the North Sea. East North Sea to ENS and West North Sea to WNS. The way it is written at times makes it seem like you could be referring to a "West Sea". For example, "the West and Irish Sea". There also several instances throughout where a direction (West of Ireland) is capitalized and does not need to be.

We have taken this suggestion into account and corrected the names to North Sea East (NS-East) and North Sea West (NS-West).

• Species should be italicized in the references.

Corrected.

• When referencing a specific paper in the text such as Santana et al. 2020, leave out the year and just insert the citation number. "Santana et al. [23] showed that...." See line 102, but there are at least one or two other occurrences.

Corrected.

• Line 100: put a period after "i.e., suspension feeding". Then start a new sentence "Suspension feeding is thought to be used especially by females..."

Corrected.

• Line 424: Should be "Southern Ocean" not "Antarctica ocean"

Corrected.

• Figure S2 was removed entirely rather than brought into the manuscript as was noted in a response to a previous comment. Was this intentional? I can't access the previous version or see tracked changes but believe the figures are the same as the original submission.

This figure was implemented into Figure 2. It is cited as Figure 2B.

• In order to address concerns raised by both reviewers, it may also be useful to add a statement in the conclusion that suggests further research is needed to explore the role of some of the "secondary" or unexpected prey items found in the Nephrops diet in greater detail.

We have added a statement into the final sentence.

Reviewer #2: All of my original concerns have been addressed, and this paper should be considered for acceptance.

We thank the reviewer for their thorough evaluation and positive feedback.

Attachment

Submitted filename: Reviewer_comments_R2.docx

Decision Letter 2

Lee W Cooper

14 Jul 2023

DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean, Nephrops norvegicus

PONE-D-23-04632R2

Dear Dr. Shum,

Thank you for making those final changes to the manuscript. I am pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Lee W Cooper, Ph.D.

Section Editor

PLOS ONE

Acceptance letter

Lee W Cooper

18 Jul 2023

PONE-D-23-04632R2

DNA metabarcoding reveals the dietary profiles of a benthic marine crustacean, Nephrops norvegicus

Dear Dr. Shum:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Lee W Cooper

Section Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Multidimensional Scaling (MDS) plot of diet variation of Nephrops norvegicus between sites, E: East (North Sea); Ir: Irish Sea; W: West (North Sea).

    (TIF)

    Attachment

    Submitted filename: PLOS Review Norwegian Lobsters.docx

    Attachment

    Submitted filename: Response.docx

    Attachment

    Submitted filename: Reviewer_comments_R2.docx

    Data Availability Statement

    Raw Illumina sequences can be found on NCBI’s SRA database BioProject ID: PRJNA911567. The data set including MOTUs, taxonomic assignment, abundances as well as OBITools bioinformatics scripts, R scripts, and sample barcodes are available in the GitHub repository (https://github.com/shump2/Nephrops-diet).


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