Open access peer-reviewed chapter

Applications of Omics Approaches to Decipher the Impact of Contaminants in Dolphins

Written By

Reyna Cristina Collí-Dulá and Ixchel Mariel Ruiz-Hernández

Submitted: 22 December 2021 Reviewed: 03 January 2022 Published: 15 March 2022

DOI: 10.5772/intechopen.102424

From the Edited Volume

Marine Mammals

Edited by Hussein Abdelhay Essayed Kaoud

Chapter metrics overview

224 Chapter Downloads

View Full Metrics


With the advent of omic technologies (genomic, transcriptomic, proteomic, metabolomic and lipidomic), it has been possible to identify global profiles of genes, proteins or metabolites in cells, tissues or organ systems at the same time. Key pathways can be identified associated with certain diseases, physiology processes or adverse effects in response to contaminants in marine organisms. This review focuses on underlining how the use of omics technology in dolphins has contributed to understanding its physiological responses and ambient stressors. They provide a basis for understanding dolphins’ physiology and a means for monitoring health conditions as well as furthering ecotoxicology studies.


  • omics technologies
  • contamination
  • dolphin

1. Introduction

One of the concerns in environmental matters is the continuous discharge of countless numbers of chemicals derived from human activities into aquatic systems. These include a large number of contaminants, among these commercial and industrial products (e.g., metals, industrial additives, surfactants and pesticides), personal care products, pharmaceuticals and endocrine-disrupting compounds, among others [1]. The presence of relevant concentrations in the environment has dramatic consequences to the organisms that inhabit these systems (e.g., affecting reproduction and survival), which is reflected in the decline of their populations and accumulation of pollutants [2].

A major concern about contaminants in aquatic systems is the bioaccumulation and biomagnification that can result with all organisms present in these systems including harmful effects to human health [3, 4]. Mammalian organisms, especially dolphins, are considered sentinel species for monitoring the health of coastal marine ecosystems [5, 6]. The main reason for that is (1) they are at the highest trophic level of the food chain and due to their role as predators, they can bioaccumulate contaminants, and (2) they also can live for longer periods (more than 40 years). It makes them good organisms to show long-term accumulation characteristics from contaminants like heavy metals in the marine environment [7]. Recently, with the development of new technologies within the “omic sciences” such as genomics, transcriptomics, proteomics and metabolomics, great advances have been made in the biological science disciplines, particularly in human health. In environmental areas “omics” have begun to have a large impact [8], mainly in aquatic toxicology [9, 10]. Together, new genomic sequencing and postgenomic technologies make it possible to obtain detailed information on drugs, toxicants, pollutants, nutrients and physical and psychological stressors on an omic scale [11]. The use of these omic technologies has allowed the emergence of ecotoxicogenomic disciplines [12, 13].

With these technologies, it is possible to determine the effect of a particular event in the life of a cell, organ or organism in response to contaminants. Through the characterization of the transcriptome, proteome or metabolome, one can perform global analysis to determinate transcriptional/proteomic or metabolomic changes at the same time in many samples (cells, tissues, biofluids, etc.) and be able to make the comparison among them. Omics technologies in environmental matters can help to assess the health statuses of aquatic systems, understand the mechanisms of action of the contaminants, through profiling of genes, proteins or metabolites that may enrich key pathways (molecular or biochemical). It sheds light on how dolphins respond to contaminants while helping to predict adverse effects on other marine organisms (Figure 1). This review highlights the omics studies performed on dolphins to gather information regarding contamination levels and their effects on worldwide dolphin populations (Figure 2). Applications of the omics approach help to understand the dolphins’ physiology as a way to monitor dolphin health conditions and to further ecotoxicology studies. Conclusively, it might provide a method for developing regulations for chemical discharge as well as management and conservation strategies for these kinds of ecosystems.

Figure 1.

Integration of omics technologies in marine organisms.

Figure 2.

Number of studies related with omics approach in dolphin.

The three major omics technologies that have proven to have a tremendous impact include transcriptomics, proteomics and metabolomics [14].


2. Selection of bibliographic material

We reviewed relevantly and recently published studies on the applicability and usefulness of Omics in dolphins. The selection of scientific publications was made through the use of search engines from Google Scholar, PubMed and Scopus to locate studies of interest using the keywords “transcriptomic”, “proteomic”, “metabolomic”, “lipidomic” and “dolphin”. We excluded all repeated studies. It was inevitable that some omics research was bot captured due to them not included the keywords we used. For the selection of publications, only the research studies that were related to contaminants were included in the data set (Table 1).

SpecieOmic approachType of sampleContaminant/stressorGenes/Proteins/Metabolites/LipidsContributionReference
Tursiops truncatusMicroarray (Custom 4x44K Agilent oligo array)Cultures SkinEx vivo assay of BPA (0.1 or 1 μg/ml) and PFOA (0.1 or 1 μg/ml)BPA: Genes involved response to stress (e.g., programmed cell death protein, tumor suppressor), immune system (e.g., complement factor H, class I histocompatibility alpha chain), lipid metabolism (e.g., adipogenesis regulatory factor, fatty aldehyde dehydrogenase isoform 2), and embryonic development and growth (e.g., titin, nuclear distribution protein nude-like 1).
PFOA: Genes involved response to stress (uv excision repair protein rad23 homolog a, heat shock protein 90), immune system (complement c5, acidic mammalian chitinase), embryonic development (vascular endothelial growth factor, Rho GTPase-activating protein)
Pathways affected: BPA: Fat (blubber)differentiation[15]
T. truncatusMicroarray (Custom 4X44K Agilent oligo array)Blood55 PCBs congenersGenes involved in cell cycle checkpoint and apoptosis, DNA damage and chromatin remodeling (e.g., DDB1, DCN and INO80). Pathway of cellular response to stressPCBs could cause epigenetic response, DNA damage and chromatin remodeling[16]
T. truncatusMicroarray (Custom 4X44K Agilent oligo array)Blood from male and femalePCBsMale: Genes involved in (1) development & differentiation (e.g., SOS1), signaling pathway to maintain cell growthand survival in thyroid cells (e.g., RAS genes), (2) Wound healing & anti-tumorigenic (e.g., DCN), (3) Inflammatory Response (IL23), (4) Xenobiotic metabolism (OXR1).
Female: Genes involved in (1) Transcription/Translation (Maf1 homolog), (2) Immune response (e.g., tyrosine–protein kinase JACK1, 3) Development/cell growth (PAR), BB1, (TRIP11), 4) Xenobiotic metabolism (OXR1).
The development and application of a microarray to monitor global gene expression in dolphin in response to contaminants[17]
T. truncatusRNA-seqSkin from two ecotypes of dolphin: offshore and coastalHOCGenes: AHR, CYPIB1, IL16, ESR2, ESRRA, THRA. GO terms: xenobiotic metabolism, immune response, hormone metabolism, DNA repair, and metal binding.It provides novel insight into contaminant exposure in two bottlenose dolphin ecotypes in the Southern California Bight and highlights potential relationships between HOC exposure and molecular biomarkers[18]
T. truncatusRNA-seqPeripheral blood mononuclear cell (PBMC) from dolphin and humanPFOA y PFOSIn both species: Overexpression of genes linked to inflammation and autoimmune diseases. Difference between species: In human the interferon Signaling pathway is negatively regulated while in dolphin it is positively regulated. Dolphins lack Mx1 and Mx2, key proteins of the Interferon signaling pathwayThis study provide a better understanding of the adverse effects of CECs (PFOA, PFOS) on both dolphin and human species[19]
Metabolomic and lipidomic
T. truncatusLC/MSExhaled breatheOil spillPhosphatidic acid, phosphatidylethanolamine, and steroids (higher abundance or uniquely in dolphins of contaminated area). Phosphatidylglycerol.Pathways affected:
Cellular bilayer degradation
DNA and cellular damage processes
Immunological protection

Table 1.

Depict of the most relevant transcriptomic, proteomic and metabolomic studies performed in dolphin in response to the contaminants.

Based on these criteria, 59 publications were selected from >250 reviewed. Transcriptomics was the most frequently applied technique (38%) followed by proteomics (30%), metabolomics (21%) and finally, lipidomic (10.2%). In general searching the omic studies selected, we identified 8 topics including “contamination”, “physiology” and “health” among others based on the type of research described in the publications. More details about each topic are given in Figure 3. Contamination studies were dominant using the transcriptomic method (31%), compared to studies focusing on proteomics (0%), metabolomics (8%) and lipidomics (0%). We noticed that proteomics and lipidomics are less used in studies related to contamination. However, proteomics is the most frequent technology applied to identifying responses associated with the physiology of dolphins (28%), followed by lipidomics (33%), metabolomics (25%), and transcriptomics (13%). With respect to studies related to health, metabolomic tools (34%) were predominant, followed by transcriptomics (26%) and proteomics (11%). Interestingly, we noticed that the number of studies selected in omics and dolphins does not show an increase over time as we expected, it was diverse (Figure 1). After 2016, the selected literature showed an increase in the application of omics in dolphin research, notably, most studies focused on using metabolomics (LC/MS) and transcriptomic high throughput RNA sequencing (RNA-seq) tools as a diagnostic method for the detection of contaminants in oil spills and with contaminants of emerging concern (CECs). In general, it seems that there is a trend toward the increased use of transcriptomics, with studies dominating the literature from 2018 to 2019, and lipidomic applications from 2020 to 2021.

Figure 3.

Status of studies of omics in dolphins.


3. Omics technologies in marine organism: response to contaminants in dolphins

Omic approaches bring an integrated view of the molecules that compose a cell, tissue, or organisms in any target biological sample from a model or non-model organism. Notably, there is little information focused on proteomics, metabolomics, and lipidomics to investigate the impact of contaminants in dolphins species (Figure 2). We present a summary of the application of the three main omic technologies in dolphins associated with contaminants.

3.1 Transcriptomics

Transcriptomics has been the omic technique most used in biological areas because it represents all RNA molecules (e.g., miRNA, snoRNA), including the messenger RNA (mRNA) which constitutes the building blocks for translating DNA into amino acids to form proteins. The totality of mRNA is a reflex of the genes that are actively expressed in a cell or an organism at a given time and during a specific event. It permits deciphering how organisms respond to changes in the external environment or the presence of the contaminants [21]. The principal gene expression profiling methods used in transcriptomic are microarray and RNA-sequencing (RNA-seq). The difference between the potential of each method becomes apparent once the target sequences go beyond known genomic sequences. Hybridization-based techniques like microarray rely on and are limited to the transcripts bound to the array slides. Limitations of microarrays are due to the bioinformatic data available for the model organism’s genome and transcriptome. RNA-seq can detect annotated transcripts but also novel sequences and splice variants [22]. RNA-seq is considered a revolutionary tool for transcriptomics in non-model organisms and is powerful enough to explore the mammalian transcriptome which was not possible with microarrays [23].

With regard to the transcriptomic studies in dolphins and contaminants, there are few studies that have used microarray methods to identify genes and molecular pathways altered by bisphenol A [2,2 bis(4-hydroxyphenyl) propane (BPA), perfluoroalkyl substances (PFAS) and perfluorooctanoic acid (PFOA) in dolphin skin biopsies [15]. These contaminants can cause changes in key genes involved in pathways related to stress, immune response, development and lipid metabolism. Likewise, there are another two studies that describe the construction and validation of the use of microarrays in T. truncatus as well as using bioinformatic tools to detect polychlorinated biphenyls (PCBs) from dolphin blood during the monitoring of high-level contamination at Superfund sites on the Georgia coast in the US [16, 17], see Table 1. A limited range of sequencing data is available for dolphins from whole-genome assemblies to RNA-seq data [18, 19], however, two studies have documented the effects of halogenated organic contaminants (HOCs) at transcriptomic levels. For example, Trego and colleagues reported that 20 skin biopsys from T. truncatus dolphin collected on the Southern California Bight showed to have a positive correlation with the presence of HOCs and genes associated with the metabolism of xenobiotics and with the immune and endocrine pathways. Likewise, in another study also performed with T. truncatus, human peripheral blood mononuclear cells (PBMC) from both species were assessed to investigate the effects of contaminant exposures of CECs (PFAs; PFOA and perfluorooctane sulfonate (PFOS)) using RNA-seq. Transcriptomic analysis showed that in both human and dolphin pathways related with endocrine immune system that inflammatory responses increased (Table 1) [19].

3.2 Proteomics

The main focus of proteomics is to identify and quantify all protein content in a cell, tissue, or organism and understand their functions, structure and their modifications in response to external stimuli [24]. Based on proteomics, baseline studies have been conducted to characterize proteins from spermatozoa and seminal plasma in bottlenose dolphins [25] which has been used in zooarchaeology for species identification of cetaceans [26]. Other studies have been focused on developing bioinformatics tools or methods to obtain or analyze proteins from different samples [27, 28, 29].

Most of the proteomic studies in dolphins have focused on the physiology of proteins and peptides. These studies have provided valuable information, such as the case of the proline-rich antimicrobial peptides found in different cetacean species, where these peptides could provide useful insights for future antibiotics [30]. Through proteomics one can also identify peptides related to metabolic disorders [31] and biomarkers of infection for diagnosis of aspergillosis in dolphins [32]. Thanks to proteomics, it has been possible to identify stress proteins involved in apoptosis, proteotoxicity and inflammation on managed and wild dolphins and their relation with biological data such as serological, biochemical, hematological and endocrine variables [33]. In stressed cetaceans, 30 stress-activated proteins have been identified, where these proteins have an important role in cellular detoxification, stress response, cell growth and differentiation, apoptosis, immunologic, neurologic and hormonal signaling and oxidative stress response [34].

In toxicology, proteomic studies are important because the proteome is the link between effects at the molecular and the whole organism level and provide snapshot functional information of a cell under certain conditions, and it allows the identification of new biomarkers and pathways of toxicity [35]. However, studies related to contamination have not been reported yet.

Regarding the methods and tools used in proteomics, initially, the way to analyze variations of protein expression was by gel electrophoresis. Now the main tool used is mass spectrometry with their different techniques: LC/MS, MALDI TOF/TOF, ESI-QUAD-TOF, iTRAQ. Protein microarray has also been used for these kinds of studies and bioinformatic tools.

Proteomics generates a large amount of data that permit furthering one’s knowledge of mechanisms of action and toxicant effect of a contaminant in organisms and thus be able to understand biological processes [35]. However, the limitations in these kinds of studies are with peptide separations, identification and that many species lack of protein sequence information [14, 36].

3.3 Metabolomics

Metabolomics is responsible for identifying and quantifying all endogenous and exogen metabolites in an organism or biological sample [37]. Metabolites are all final products of cellular processes and knowing their levels permits one to understand the responses of a biological system to environmental changes [38].

This omic tool contributes to understanding of how environmental stressors can affect human and environmental health. However, these kinds of applications have not yet been explored as often in dolphins [39]. Most of the metabolomic studies in dolphins have been focused on establishing baseline information on health [40, 41, 42, 43], and physiology [44, 45, 46] with a few studies looking at the characterization of metabolites from exhaled breath and tears [47, 48].

Regarding pollution studies, just only a single work was discovered. After the spill of the Deepwater Horizon in the Gulf of Mexico, dolphin populations were severely affected, showing adrenal and lung diseases, poor reproductive success and higher mortality [49, 50, 51]. In bottlenose dolphins, Tursiops truncatus exhaled breathe metabolites had been studied [20] from a managed collection in San Diego, from a wild population in Sarasota Bay and Barataria Bay, the latter being the contaminated site. Several metabolites, such as yiamoloside B, diacylglycerol, leptomycin B, phosphatidylglycerol and phospholipids, were correlated with pulmonary disease. Cortisol and aldosterone levels were lower in Barataria Bay, also dolphins from this population presented thin adrenal gland cortices, supporting an impaired hypothalamus-pituitary-adrenal axis. Lower amounts of glucose in the contaminated area may represent a response to stress or feeding. Besides, metabolites as steroids, phosphatidic acid and phosphatidylethanolamine were unique or found in higher abundance in the contaminated area compared to the healthy reference dolphins which suggest cellular destruction. Many of the specific metabolites found in dolphins from Barataria Bay, were markers for arachidonic acid, lipid oxidation and lung surfactant breakdown. In addition, antibiotics, such as jadomycin B, leukomycin A1 and A7, lansonolide A, chivosazole E and mycolacton, were also found in dolphins from Barataria Bay. These compounds are products of fungi and bacteria suggesting that dolphins exposed to oil spill may have pneumonia.

In metabolomics, the main tools used for analysis are mass spectrometry with their different instrumentation: chromatography/mass spectrometry (GC/MS), liquid chromatography/mass spectrometry (LC/MS) and in tandem (LC/MS/MS), high-performance liquid chromatography (HPLC), HPLC-MS/MS, reverse phase chromatography (RP)/UPLC-MS/MS, capillary electrophoresis time of flight mass spectrometer (CE-TOFMS), liquid chromatography/time-of-flight/mass spectrometry (LC-TOFMS) and the least used are nuclear resonance magnetic (NMR) and high-resolution magic angle spinning (HR-MAS) NMR spectroscopy.

Metabolomics is relatively a new tool and captures more integrated information of the physiology of an organism than transcriptomics or proteomics [52] because it represents the final cellular signaling events, resulting from transcriptional and translational changes [39]. However, it presents some limitations such as targeting metabolites that are species specific as well as libraries and software programs that are not yet sufficiently extensive [52].

3.3.1 Lipidomics

Lipidomics is a specialized subfield of metabolomics. Through lipidomics, it is possible to characterize all lipids from a cell, tissue, fluid, etc. and understand how these lipids influence a biological system and participate in several processes as well as how they interact with other molecules and respond to environmental changes [53, 54]. Lipids represent a major component of the metabolome [54], have an important role as components of cell membranes and participate in many cellular pathways and due to these being involved in many physiological mechanisms, also are excellent candidates for monitoring the effects of stress [55].

One representative area in marine mammals is their blubber. This is the most important site of fat and energy storage and also participates in different processes such as insulation, thermoregulation and buoyancy and, it represents up to 50% of the body mass [56] and due to the great quantity of lipids, it makes it a good repository for contaminants that are lipophilic [57]. For these reasons, lipidomics makes an excellent tool for studying the effects of contamination in these sentinel species. Although lipidomic studies have been increasing in recent years, until now, there are no dolphin lipidomic studies related to contamination. Indirectly, one study focused on respiratory metabolites [20], where some lipids were detected, including phosphatidylethanolamine, from oil spill exposure. These lipids were found in higher concentrations in dolphins from the contaminated area.

Few lipidomic studies have been reported, with most focused on physiology [58, 59], and characterization of lipids from cardiac phospholipidome [59] of small cetaceans and lipids from the blubber of killer whales [60].

The main tool used for lipidomic studies is mass spectrometry. This analysis generally uses another instrument such as LC-electrospray ionization (ESI) quadrupole time-of-flight (Q-TOF), liquid chromatography-high-resolution mass spectrometry (LC/HRMS/MS), GC-MS and LC-MS/MS and hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-LC-MS).


4. Omics and dolphin: future considerations

This review integrates the available information on the effects of pollution using an omics approach on dolphins and other cetaceans considered as ideal organisms to assess and monitor pollution in coastal or ocean systems. Although there are wide applications of omic approaches in other model and non-model aquatic organisms involving environmental matters, there are very few studies from an omic perspective in dolphins. There is much evidence in the literature of the analytical power that these tools have their contribution in providing relevant information on the MOA of contaminants in cells, tissues, organisms or populations to help to assess the health status of marine systems, to identify potential biomarkers of exposure and response to the contaminant as well to predict adverse effects on marine organisms. Information provided from this study may be useful for risk assesment analysis that may impact future environmental regulations. However, there are still several limitations that need addressing in their application in dolphins. (1) One of the main challenges is with sampling (non-invasive/biopsy). There are prohibitive costs and time delays associated with obtaining the permits required to obtain samples in wildlife organisms in some countries. A non-ideal but possible option is the sampling of strandings. (2) The application of omic studies in ecotoxicology still has many challenges. The increase of these studies at different omic levels has grown impressively thus requiring improved bioinformatics and computational tools for better analysis regarding environmental stressors, such as pollutants. (3) Likewise, the collaboration between academic government entities and industry still needs to be improved.


5. Conclusions

This review highlights the importance of omic studies in dolphins which have contributed greatly in recognizing the presence and effect of contaminants such as HOC, CECs (BPA and PFOs) and those associated with oil spills (summarized in Table 1). Omics technologies are important to study adverse effects of contaminants or environmental changes because they provide information on the alterations of genes, proteins, metabolites and phenotypic responses [14]. Transcriptomic-based investigations were used most frequently (31%); only a few studies used a metabolomic approach (8%). The principal tool used for transcriptomic is RNA-seq and for proteomics, metabolomics and lipidomics is mass spectrometry coupled to different types of spectrometers (Figure 1).

Some of the more likely applications for omics in dolphins are characterization and physiology. Although omics studies have been used for many topics, the number of studies concerning contamination is rather low. Studies of proteomics, metabolomic and lipidomic are still lacking; therefore, these findings may give insight for future studies. This type of study contributes greatly in establishing baselines for environmental health studies of coastal and marine systems, the health status of the dolphin reflects the status of their environment. Perhaps it may allow the local as well as the scientific community to be more aware of marine ecosystem conditions and to recognize the importance and possibilities of integrate omics studies regarding pollution.


Conflict of interest

The authors declare no conflict of interest.


  1. 1. Song L, Lam PKS, Hecker M. Aquatic toxicology: History and future. Aquatic Toxicology. 2019;216(105326):1-2
  2. 2. Connell DW. Bioaccumulation of Xenobiotic Compounds. Boca Ratón, Florida: CRC Press; 1938
  3. 3. Zenker A, Cicero MR, Prestinaci F, Bottoni P, Carere M. Bioaccumulation and biomagnification potential of pharmaceuticals with a focus to the aquatic environment. Journal of Environmental Management. 2014;133:378-387. DOI: 10.1016/j.jenvman.2013.12.017
  4. 4. Ali H, Khan E. Trophic transfer, bioaccumulation, and biomagnification of non-essential hazardous heavy metals and metalloids in food chains/webs—Concepts and implications for wildlife and human health. Human and Ecological Risk Assessment. 2019;25(6):1353-1376. DOI: 10.1080/10807039.2018.1469398
  5. 5. Bossart GD. Marine mammals as sentinel species for oceans and human health. Veterinary Pathology. 2011;48(3):676-690
  6. 6. Wells RS, Rhinehart HL, Hansen LJ, Sweeney JC, Townsend FI, Stone R, et al. Bottlenose dolphins as marine ecosystem sentinels : Developing a health monitoring system. EcoHealth. 2004;1:246-254
  7. 7. Honda K, Tatsukawa R. Distribution of cadmium and zinc in tissues and organs, and their age-related changes in striped dolphins, Stenella coeruleoalba. Archives of Environmental Contamination and Toxicology. 1983;12:503-512
  8. 8. Ge Y, Wang DZ, Chiu JF, Cristobal S, Sheehan D, Silvestre F, et al. Environmental OMICS: Current status and future directions. Journal of Integrated OMICS. 2013;3(2):75-87
  9. 9. Zhang X, Xia P, Wang P, Yang J, Baird DJ. Omics advances in ecotoxicology. Environmental Science & Technology. 2018;52:3842-3851
  10. 10. Simmons DBD, Benskin JP, Cosgrove JR, Duncker BP, Ekman DR, Martyniuk CJ, et al. Omics for aquatic ecotoxicology: Control of extraneous variability to enhance the analysis of environmental effects. Environmental Toxicology and Chemistry. 2015;34(8):1693-1704
  11. 11. Niedzwiecki MM, Walker DI, Vermeulen R, Chadeau-Hyam M, Jones DP, Miller GW. The exposome: Molecules to populations. Annual Review of Pharmacology and Toxicology. 2019;59:107-127
  12. 12. Snape JR, Maund SJ, Pickford DB, Hutchinson TH. Ecotoxicogenomics: The challenge of integrating genomics into aquatic and terrestrial ecotoxicology. Aquatic Toxicology. 2004;67(2):143-154
  13. 13. Poynton HC, Wintz H, Vulpe CD. Progress in ecotoxicogenomics for environmental monitoring, mode of action, and toxicant identification. Advances in Experimental Biology. 2008;2:21-73
  14. 14. Amiard-Triquet C, Amiard J-C, Mouneyrac C. Aquatic ecotoxicology. In: Advancing Tools for Dealing with Emerging Risks. New York: Academic Press; 2015
  15. 15. Lunardi D, Abelli L, Panti C, Marsili L, Fossi MC, Mancia A. Transcriptomic analysis of bottlenose dolphin (Tursiops truncatus) skin biopsies to assess the effects of emerging contaminants. Marine Environmental Research. 2016;114(Jan):74-79. DOI: 10.1016/j.marenvres.2016.01.002
  16. 16. Mancia A, Ryan JC, Van Dolah FM, Kucklick JR, Rowles TK, Wells RS, et al. Machine learning approaches to investigate the impact of PCBs on the transcriptome of the common bottlenose dolphin (Tursiops truncatus). Marine Environmental Research. 2014;100:57-67. DOI: 10.1016/j.marenvres.2014.03.007
  17. 17. Mancia A, Abelli L, Kucklick JR, Rowles TK, Wells RS, Balmer BC, et al. Microarray applications to understand the impact of exposure to environmental contaminants in wild dolphins (Tursiops truncatus). Marine Genomics. 2015;19:47-57. DOI: 10.1016/j.margen.2014.11.002
  18. 18. Trego ML, Hoh E, Whitehead A, Kellar NM, Lauf M, Datuin DO, et al. Contaminant exposure linked to cellular and endocrine biomarkers in Southern California bottlenose dolphins. Environmental Science & Technology. 2019;53:3811-3822
  19. 19. Wolf BJ, Kamen DL, Fair P, Hardiman G. Meta-analysis of dolphin and human peripherial blood mononuclear cells reveals inflammatory signatures associated with exposure to high levels of perfluoroalkyl substances. International Journal of Advances in Science, Engineering and Technology. 2021;7(3):66-72
  20. 20. Pasamontes A, Aksenov AA,Schivo M, Rowles T, Smith CR, Schwacke LH, et al. Noninvasive respiratory metabolite analysis associated with clinical disease in cetaceans: A deepwater horizon oil spill study. Environmental Science & Technology. 2017;51(10):5737-5746
  21. 21. Schirmer K, Fischer BB, Madureira DJ, Pillai S. Transcriptomics in ecotoxicology. Analytical and Bioanalytical Chemistry. 2010;397:917-923
  22. 22. Mantione KJ, Kream RM,Kuzelova H, Ptacek R, Raboch J, Samuel JM, et al. Comparing bioinformatic gene expression profiling methods: Microarray and RNA-Seq. Medical Science Monitor Basic Research. 2014;20:138-142
  23. 23. Wang Z, Gerstein M, Snyder M. RNA-Seq: A revolutionary tool for transcriptomics. Nature Reviews Genetics. 2009;10:57-63
  24. 24. Aslam B, Basit M, Nisar MA, Khurshid M, Rasool MH. Proteomics: Technologies and their applications. Journal of Chromatographic Science. 2017;55(2):182-196
  25. 25. Fuentes-Albero MC, González-Brusi L, Cots P, Luongo C, Abril-Sánchez S, Ros-Santaella JL, et al. Protein identification of spermatozoa and seminal plasma in bottlenose dolphin (Tursiops truncatus). Frontiers in Cell and Development Biology. 2021;9:1-17
  26. 26. Biard V, Gol’din P, Gladilina E, Vishnyakova K, McGrath K, Vieira FG, et al. Genomic and proteomic identification of Late Holocene remains: Setting baselines for Black Sea odontocetes. Journal of Archaeological Science: Reports. 2017;15:262-271
  27. 27. Yu J, Kindy MS, Ellis BC, Baatz JE, Peden-Adams M, Ellingham TJ, et al. Establishment of epidermal cell lines derived from the skin of the Atlantic bottlenose dolphin (Tursiops truncatus). The Anatomical Record. Part A, Discoveries in Molecular, Cellular, and Evolutionary Biology. 2005;287A:1246-1255
  28. 28. Dooley CT, Ferrer T, Pagán H, O’Corry-Crowe GM. Bridging immunogenetics and immunoproteomics: Model positional scanning library analysis for major histocompatibility complex class II DQ in Tursiops truncatus. PLoS One. 2018;13(8):e0201299
  29. 29. Bergfelt DR, Lippolis J, Vandenplas M, Davis S, Miller BA, Madan R, et al. Preliminary analysis of the proteome of exhaled breath condensate in bottlenose dolphins (Tursiops truncatus). Aquatic Mammals. 2018;44(3):256-266
  30. 30. Sola R, Mardirossian M, Beckert B, De Luna LS, Prickett D, Tossi A, et al. Characterization of cetacean proline-rich antimicrobial peptides displaying activity against eskape pathogens. International Journal of Molecular Sciences. 2020;21:1-17
  31. 31. Neely BA, Carlin KP, Arthur JM, McFee WE, Janech MG. Ratiometric measurements of adiponectin by mass spectrometry in bottlenose dolphins (Tursiops truncatus) with iron overload reveal an association with insulin resistance and glucagon. Frontiers in Endocrinology (Lausanne). 2013;4(132):1-13
  32. 32. Desoubeaux G, Piqueras MDC, Le-Bert C, Fravel V, Clauss T, Delaune AJ, et al. Labeled quantitative mass spectrometry to study the host response during aspergillosis in the common bottlenose dolphin (Tursiops truncatus). Veterinary Microbiology. 2019;232:42-49
  33. 33. Wilson AE, Fair PA, Carlson RI, Houde M, Cattet M, Bossart GD, et al. Environment, endocrinology, and biochemistry influence expression of stress proteins in bottlenose dolphins. Comparative Biochemistry and Physiology. Part D, Genomics & Proteomics. 2019;32:100613
  34. 34. Southern S. Molecular analysis of stress-activated proteins and genes in dolphins and whales: A new technique for monitoring environmental stress. In: Annual Conference-American Association of Zoo Veterinarians. Vol. 2000. Houston, TX: American Association of Zoo Veterinarians; 1998. pp. 240-244
  35. 35. Lemos MFL, Soares AMVM, Correia AC, Esteves AC. Proteins in ecotoxicology—How, why and why not? Proteomics. 2010;10:873-887
  36. 36. Monsinjon T, Knigge T. Proteomic applications in ecotoxicology. Proteomics. 2007;7:2997-3009
  37. 37. Idle JR, Gonzalez FJ. Metabolomics. Cell Metabolism. 2007;6:348-351
  38. 38. Fiehn O. Metabolomics—The link between genotypes and phenotypes. Plant Molecular Biology. 2002;48:155-171
  39. 39. Miller MG. Environmental metabolomics: A SWOT analysis (strengths, weaknesses, opportunities, and threats). Journal of Proteome Research. 2007;6:540-545
  40. 40. Venn-Watson S, Baird M, Novick B, Parry C, Jensen ED. Modified fish diet shifted serum metabolome and alleviated chronic anemia in bottlenose dolphins (Tursiops truncatus): Potential role of odd-chain saturated fatty acids. PLoS One. 2020;15(4):1-23
  41. 41. Ardente A, Garrett T, Wells R, Walsh M, Smith C, Colee J, et al. A targeted metabolomics assay to measure eight purines in the diet of common bottlenose dolphins, Tursiops truncates. Journal of Chromatography and Separation Techniques. 2016;7(5):1-22
  42. 42. Borras E, Aksenov AA, Baird M, Novick B, Schivo M, Zamuruyev KO, et al. Exhaled breath condensate methods adapted from human studies using longitudinal metabolomics for predicting early health alterations in dolphins. Analytical and Bioanalytical Chemistry. 2017;409:6523-6536
  43. 43. Houser DS, Derous D, Douglas A, Lusseau D. Metabolic response of dolphins to short-term fasting reveals physiological changes that differ from the traditional fasting model. The Journal of Experimental Biology. 2021;224:1-12
  44. 44. Suzuki M, Yoshioka M, Ohno Y, Akune Y. Plasma metabolomic analysis in mature female common bottlenose dolphins: Profiling the characteristics of metabolites after overnight fasting by comparison with data in beagle dogs. Scientific Reports. 2018;8:1-11
  45. 45. Misra BB, Ruiz-Hernández IM, Hernández-Bolio GI, Hernández-Núñez E, Díaz-Gamboa R, Colli-Dula RC. 1H NMR metabolomic analysis of skin and blubber of bottlenose dolphins reveal a functional metabolic dichotomy. Comparative Biochemistry and Physiology Part D: Genomics and Proteomics. 2019;30:25-32. DOI: 10.1016/j.cbd.2019.02.004
  46. 46. Velasco-Martínez I del C, Hernández-Camacho CJ, Méndez-Rodríguez LC, Zenteno-Savín T. Purine metabolism in response to hypoxic conditions associated with breath-hold diving and exercise in erythrocytes and plasma from bottlenose dolphins (Tursiops truncatus). Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology. 2016;191:196-201
  47. 47. Aksenov AA, Yeates L, Pasamontes A, Siebe C, Zrodnikov Y, Simmons J, et al. Metabolite content profiling of bottlenose dolphin exhaled breath. Analytical Chemistry. 2014;86:10616-10624
  48. 48. Pinazo-Duran MD, Sanz-Gonzalez SM, Valero-Vello M, Garcia-Medina JJ, Benitez del Castilo JM. Characterization of dolphin tear metabolomics. Investigative Ophthalmology & Visual Science. 2021;62(8):1557
  49. 49. Venn-Watson S, Colegrove KM, Litz J, Kinsel M, Terio K, Saliki J, et al. Adrenal gland and lung lesions in Gulf of Mexico common bottlenose dolphins (Tursiops truncatus) found dead following the Deepwater horizon oil spill. PLoS One. 2015;10(5):1-23
  50. 50. Lane SM, Smith CR, Mitchell J, Balmer BC, Barry KP, McDonald T, et al. Reproductive outcome and survival of common bottlenose dolphins sampled in Barataria bay, Louisiana, USA, following the Deepwater horizon oil spill. Proceedings of the Royal Society B: Biological Sciences. 2015;282:1-9
  51. 51. Venn-Watson S, Garrison L, Litz J, Fougeres E, Mase B, Rappucci G, et al. Demographic clusters identified within the northern Gulf of Mexico common bottlenose dolphin (Tursiops truncates) unusual mortality event: January 2010–June 2013. PLoS One. 2015;10(2):1-13
  52. 52. Ankley GT, Daston GP, Degitz SJ, Denslow ND, Hoke RA, Kennedy SW, et al. Toxicogenomics in regulatory ecotoxicology. Environmental Science & Technology. 2006:4055-4065
  53. 53. Watson AD. Lipidomics: A global approach to lipid analysis in biological systems. Journal of Lipid Research. 2006;47:2101-2111
  54. 54. Wood P. In: Wood P, editor. Lipidomics. New York, NY: Humana Press; 2017. p. 248
  55. 55. Aristizabal-Henao JJ, Ahmadireskety A, Griffin EK, Ferreira Da Silva B, Bowden JA. Lipidomics and environmental toxicology: Recent trends. Current Opinion in Environmental Science & Health. 2020;15:26-31. DOI: 10.1016/j.coesh.2020.04.004
  56. 56. Iverson SJ. Blubber. In: Perrin WF, Würsig B, JGM T, editors. Encyclopedia of Marine Mammals. 2nd ed. Academic Press; 2009. pp. 115-120. DOI: 10.1016/B978-0-12-383832-2.00112-2
  57. 57. Reddy ML, Dierauf LA, Gulland FMD. Marine mammals as sentinels of ocean health. In: Dierauf LA, Gulland FMD, editors. Handbook of Marine Mammal Medicine. 2nd ed. Boca Ratón, FL: CRC Press; 2001. pp. 3-13
  58. 58. Sobolesky PM, Harrell TS, Parry C, Venn-Watson S, Janech MG. Feeding a modified fish diet to bottlenose dolphins leads to an increase in serum adiponectin and sphingolipids. Frontiers in Endocrinology (Lausanne). 2016;7(33):1-11
  59. 59. Monteiro JP, Maciel E, Melo T, Flanagan C, Urbani N, Neves J, et al. The plasma phospholipidome of Tursiops truncatus: From physiological insight to the design of prospective tools for managed cetacean monitorization. Lipids. 2021;56(5):461-473
  60. 60. Bories P, Rikardsen AH, Leonards P, Fisk AT, Tartu S, Vogel EF, et al. A deep dive into fat: Investigating blubber lipidomic fingerprint of killer whales and humpback whales in northern Norway. Ecology and Evolution. 2021;11:6716-6729

Written By

Reyna Cristina Collí-Dulá and Ixchel Mariel Ruiz-Hernández

Submitted: 22 December 2021 Reviewed: 03 January 2022 Published: 15 March 2022