Literature DB >> 27752524

Transcriptomic data analysis and differential gene expression of antioxidant pathways in king penguin juveniles (Aptenodytes patagonicus) before and after acclimatization to marine life.

Benjamin Rey1, Cyril Dégletagne2, Claude Duchamp2.   

Abstract

In this article, we present differentially expressed gene profiles in the pectoralis muscle of wild juvenile king penguins that were either naturally acclimated to cold marine environment or experimentally immersed in cold water as compared with penguin juveniles that never experienced cold water immersion. Transcriptomic data were obtained by hybridizing penguins total cDNA on Affymetrix GeneChip Chicken Genome arrays and analyzed using maxRS algorithm, "Transcriptome analysis in non-model species: a new method for the analysis of heterologous hybridization on microarrays" (Dégletagne et al., 2010) [1]. We focused on genes involved in multiple antioxidant pathways. For better clarity, these differentially expressed genes were clustered into six functional groups according to their role in controlling redox homeostasis. The data are related to a comprehensive research study on the ontogeny of antioxidant functions in king penguins, "Hormetic response triggers multifaceted anti-oxidant strategies in immature king penguins (Aptenodytes patagonicus)" (Rey et al., 2016) [2]. The raw microarray dataset supporting the present analyses has been deposited at the Gene Expression Omnibus (GEO) repository under accessions GEO: GSE17725 and GEO: GSE82344.

Entities:  

Keywords:  Antioxidant pathways; Microarray; Muscle; Penguin

Year:  2016        PMID: 27752524      PMCID: PMC5061121          DOI: 10.1016/j.dib.2016.09.021

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Our transcriptomic analysis of gene expression in the pectoralis muscle of wild juveniles king penguin allows the detection of multiple antioxidant pathways. These data provided evidences that an activation of powerful and coordinated antioxidant strategies occurs in the pectoralis muscle of king penguin juveniles during the transition from a terrestrial to a marine life style. These original results can serve as a reference point for various studies related to the mechanisms controlling redox homeostasis in natural populations for which data availability remains scarce and usually restricted to the detection of few antioxidant molecules.

Data

Here, we provide the expression profile of gene involved in the control of redox homeostasis in the pectoralis muscle of three groups of king penguin juveniles (Aptenodytes patagonicus) differing in their degree of acclimation to marine environment. Targeted genes are clustered into six groups as follow: the genes encoding proteins involved in non-mitochondrial ROS generation (Cluster 1), antioxydant enzymes (cluster 2), heat choc and chaperone proteins (Cluster 3), DNA repairs processes (Cluster 4), repair or degradation of damaged proteins (Cluster 5) and lipid membrane composition remodeling (Cluster 6). For each gene we provide its symbol, its name, the corresponding Affymetrix ProbeSet identification number and the percentage change of expression as compared to never-immersed control penguins.

Experimental design, materials and methods

Animals and sample collection

We captured king penguin juveniles of 10–11 month at the breeding colony of la Baie du Marin (Crozet Archipelago; French Southern Territories). A first group of penguins was hold in an outdoor enclosure until they achieved their molt constituting the ‘never-immersed control’ group (NI, n=4). A second group of penguins received the same treatment as the NI penguins but were subjected to repeated immersions in cold water (8 °C) over 3 weeks to simulate the acclimatization to marine life; this group is refereed as artificially-acclimated penguins (AA, n=3). NI penguins were also compared to juveniles of 12–14 month that returned from a foraging trip at sea and had fully accomplished their acclimatization to marine life (sea-acclimatized, SA, n=3). We controlled for potential effect of nutritional status by feeding penguins with mackerel (Scomber vernalis) on a daily basis. At the end of the procedure, pectoralis muscle of each penguin was surgically biopsied under general anesthesia and the muscle biopsy was frozen at −80 °C. More details of the experimental procedure are given in Rey et al. [2].

RNA extraction

Total RNA was extracted following the single-step TriReagent protocol (Invitrogen, Cergy Pontoise, France). Briefly, 50 mg of pectoralis muscle was homogenized in 1 mL reagent with a Polytron homogenizer. The aqueous phase was transferred to a 2 mL Eppendorf tube containing 0.5 ml 2-propanol. Samples were incubated at room temperature for 5 min and subjected to a centrifugation at 12,000g for 10 min at 4 °C. The pellet was washed twice with ethanol 75% and was re-suspended in ultra-pure water. The quality of extracted RNA (RNA integrity>8) was assessed using a Bioanalyzer 2100 (Agilent technologies, Inc, Palto Alto, CA, USA).

Labeling and hybridization

Labeling and hybridization were performed on Affymetrix GeneChip® Chicken Genome Arrays by the ProfileXpert platform (Lyon, France) following the standard Affymetrix protocol (http://www.affymetrix.com), as described in Dégletagne et al. [1]. All arrays were scanned with a confocal laser (Genechip scanner 3000, Affymetrix).

Microarray analysis

We used the MaxRS method developed for the analysis of heterologous hybridization profiles [1], a method that has been previously applied in king penguins [3]. All results were normalized using the quantile method after log2 transformation to make them comparable across microarrays [4]. Gene expression of NI penguins, considered as control in the study, were compared to those of SA or AA groups. Differentially expressed genes between NI vs. SA or NI vs. AA were determined using the empirical Bayes moderated t-statistics implemented in the Bioconductor package limma [5]. We focused on the genes involved in the redox homeostasis and gathered them into six functional clusters according to GenOntology annotation and literature search [2], [6], [7]. All analyses were performed using the R statistical software Table 1.
Table 1

Microarray data analysis centered on the genes encoding proteins involved in the regulation of the redox homeostasis.

SymbolNamePPSetslog2SA/NIP- valuelog2AA/NIP- value
(SA/NI)%(AA/NI)%
Cluster 1: Genes encoding non mitochondrial proteins involved in Reactive Oxygen Species (ROS) generation
ANGPTL4angiopoietin-like 4GgaAffx.395.1.S1_at−0.31−19%0.033ns
AOX1aldehyde oxidase 1GgaAffx.5165.3.S1_at−0.49−29%0.031−0.49−29%0.031
AOX2aldehyde oxidase 2GgaAffx.5165.4.S1_s_at0.6861%0.0030.4234%0.037
DUOX2dual oxidase 2GgaAffx.1631.1.S1_s_at−0.35−22%0.029ns
DUOXA1dual oxidase maturation factor 1GgaAffx.1645.3.S1_s_at0.2822%0.017ns
NOX1NADPH oxidase 1GgaAffx.22036.3.S1_s_at−0.3−19%0.042ns
PXDNperoxidasin homologGga.14999.1.S1_at−1.2−56%0.004−0.94−48%0.016
SCARF1scavenger receptor class F. member 1Gga.7260.2.S1_at−0.73−40%0.000−0.42−25%0.014
SIRT1sirtuin 1GgaAffx.1802.1.S1_at0.4839%0.050ns
SIRT5sirtuin 5Gga.12456.1.S1_at0.8277%0.002ns
SIRT6sirtuin 6GgaAffx.23594.1.S1_at0.3628%0.042ns
TNFRSF11Atumor necrosis factor receptor superfamily. member 11a NFKB activatorGgaAffx.8155.1.S1_at−0.42−26%0.024ns
TNFRSF18tumor necrosis factor receptor superfamily. member 18GgaAffx.11426.1.S1_at−0.51−30%0.007ns
TNFRSF21tumor necrosis factor receptor superfamily. member 21Gga.4943.1.S1_at−1.16−55%0.012−0.79−43%0.045

















Cluster 2: Genes encoding antioxydant enzymes
BLVRAbiliverdin reductase AGgaAffx.23872.1.S1_at0.5142%0.039ns
GPX4glutathione peroxidasesGga.107.1.S1_at0.9492%0.000ns
HMOX1heme oxygenase 1Gga.2039.1.S1_at1.39162%0.0502.17350%0.006
HMOX2heme oxygenase (decycling) 2Gga.9310.1.S1_s_at−0.57−33%0.003ns
MGST3microsomal glutathione S-transferase 3Gga.7258.1.S1_at0.652%0.010ns
MT2Ametallothionein 2AGga.4210.1.S1_at2.06316%0.0011.66217%0.004
MT3metallothionein 3GgaAffx.9262.1.S1_at1.48180%0.0051.44171%0.006
PRDX3peroxiredoxin 3Gga.4515.3.S1_a_at0.4234%0.015ns
SOD1superoxide dismutase 1Gga.3346.1.S1_a_at0.4234%0.025ns
TXNDC10thioredoxin domain containing 10Gga.17473.1.S1_s_at−0.96−49%0.000−0.71−39%0.001



Cluster 3: Genes encoding heat shock or chaperone proteins
HSF3heat shock factor 3Gga.5116.3.S1_a_at0.3326%0.023ns
HSF4heat shock transcription factor 4GgaAffx.2032.2.S1_s_at0.4536%0.022ns
CRYAAcrystallin. alpha AGgaAffx.10353.1.S1_at0.3931%0.027ns
CRYABcrystallin. alpha BGga.1999.1.S1_a_at0.9695%0.021ns
HSPE1heat shock 10 kDa protein 1Gga.4873.1.S1_a_at−−0.55−32%0.002−0.33−20%0.039
HSPB1heat shock 27 kDa protein 1Gga.1809.1.S1_at−0.45−27%0.008ns
HSPB7heat shock 27 kDa protein family. member 7Gga.11398.1.S1_at0.9593%0.000ns
HSPD1heat shock 60 kDa protein 1Gga.9897.1.S1_at−0.75−41%0.000−0.86−45%0.000
DNAJA4DnaJ (Hsp40) homolog. subfamily A. member 4Gga.5900.3.S1_a_at−0.51−30%0.010−0.44−26%0.021
DNAJB9DnaJ (Hsp40) homolog. subfamily B. member 9GgaAffx.12760.1.S1_s_at−0.87−45%0.019−1.10−53%0.005
DNAJC6DnaJ (Hsp40) homolog. subfamily C. member 6GgaAffx.23432.1.S1_s_at−0.48−28%0.004ns
HSP67B2similar to heat shock protein 67B2Gga.16163.1.S1_s_at1.38160%0.000ns
HSP70heat shock protein 70Gga.4942.1.S1_at−0.88−46%0.000−0.51−30%0.016
HSPA14heat shock 70 kDa protein 14Gga.19503.1.S1_at−0.61−34%0.001−0.44−27%0.011
HSPA8heat shock 70 kDa protein 8Gga.4555.1.S1_a_at−0.71−39%0.003ns

















Cluster 4: Genes encoding proteins involved in DNA repair processes
PARP6poly (ADP-ribose) polymerase family. member 6Gga.1599.1.S1_s_at0.2922%0.045ns
PARP8poly (ADP-ribose) polymerase family. member 8GgaAffx.24537.1.S1_s_at0.3124%0.0400.3427%0.024
PARP16poly (ADP-ribose) polymerase family. member 16Gga.8044.1.S1_at0.4335%0.037ns
XRCC2X-ray repair complementing defective repair cells 2Gga.12290.1.S1_at−0.55−32%0.003ns
XRCC4X-ray repair complementing defective repair cells 4GgaAffx.24733.1.S1_s_at0.2922%0.025ns
ERCC4excision repair cross-complementing group 4GgaAffx.12489.1.A1_at0.5445%0.032ns
RAD21L1RAD21-like 1GgaAffx.3857.1.S1_at0.4537%0.022ns
RAD51L3RAD51-like 3Gga.9680.1.S1_x_at0.2922%0.035ns
RAD23BRAD23 homolog BGga.1359.1.S1_at0.3124%0.0370.4334%0.008
DDB1damage-specific DNA binding protein 1. 127 kDaGga.5146.1.S1_at0.4940%0.007ns
DDB2damage-specific DNA binding protein 2. 48 kDaGgaAffx.12520.1.S1_s_at0.2721%0.0480.3124%0.031
POLEpolymerase (DNA directed). epsilonGgaAffx.4785.1.S1_at−0.44−26%0.003−0.58−33%0.000
POLE3polymerase (DNA directed). epsilon 3Gga.5487.1.S1_at−0.62−35%0.006ns
RFC1replication factor C (activator 1) 1. 145 kDaGgaAffx.20533.1.S1_s_at0.9189%0.000ns
UNGuracil-DNA glycosylaseGga.4682.1.S1_at−0.42−25%0.036−0.43−26%0.033
MBD4methyl-CpG binding domain protein 4Gga.3616.1.S1_at−0.3−19%0.034ns

















Cluster 5: Genes encoding proteins involved repair or degradation of damaged proteins
MSRAmethionine sulfoxide reductase AGgaAffx.25021.1.S1_s_at0.6557%0.001ns
PSMA7proteasome subunit. alpha type. 7Gga.2045.2.S1_a_at0.5849%0.0060.5849%0.006
PSMB1proteasome subunit. beta type. 1Gga.4653.2.S1_a_at0.3831%0.043ns
PSMB3proteasome subunit. beta type. 3Gga.1459.1.S1_at0.5243%0.0000.7163%0.000
PSMC3proteasome 26S subunit. ATPase. 3Gga.4649.1.S1_s_at0.3628%0.008ns
PSMC6proteasome 26S subunit. ATPase. 6Gga.16005.1.S1_s_at0.652%0.032ns
PSMD4proteasome 26S subunit. non-ATPase. 4Gga.6030.1.S1_s_at0.3326%0.010ns
PSME3proteasome activator subunit 3Gga.5999.2.S1_at−0.42−25%0.021ns
proteasome C1 subunitGgaAffx.8554.1.S1_x_at0.3326%0.0250.4537%0.005
POMPproteasome maturation proteinGga.5765.1.S1_at0.3225%0.0200.4436%0.003
SMURF1SMAD specific E3 ubiquitin protein ligase 1GgaAffx.2883.1.S1_s_at0.8175%0.011ns
UBBubiquitin BGga.2501.2.S1_at0.4133%0.023ns
UBE2G2ubiquitin-conjugating enzyme E2G 2Gga.19739.1.S1_at0.3830%0.003ns
UBE4Bubiquitination factor E4BGgaAffx.25563.1.S1_s_at0.3931%0.014ns
UCHL1ubiquitin carboxyl-terminal esterase L1Gga.9618.1.S1_at2.22366%0.0001.84258%0.000
UCHL5ubiquitin carboxyl-terminal hydrolase L5GgaAffx.12236.1.S1_s_at0.6152%0.029ns
UFD1Lubiquitin fusion degradation 1 likeGga.3094.1.S1_at0.4436%0.010ns
UIMC1ubiquitin interaction motif containing 1GgaAffx.768.2.S1_at0.6759%0.001ns
WWP1WW domain containing E3 ubiquitin protein ligase 1GgaAffx.24796.1.S1_at0.4537%0.022ns
LONP2lon peptidase 2. peroxisomalGga.12947.1.S1_s_at0.6860%0.000ns
LONRF1LON peptidase N-terminal domain and ring finger 1GgaAffx.8741.1.S1_at0.3124%0.041ns
ATXN3ataxin 3Gga.12408.1.S2_at−0.85−44%0.000−0.48−29%0.016
NBR1neighbor of BRCA1 gene 1Gga.9984.1.S1_s_at0.4334%0.013ns

















Cluster 6: Genes encoding proteins involved in lipid membrane composition
MBOAT2membrane bound O-acyltransferase 2GgaAffx.10502.2.S1_s_at0.9289%0.027ns
SCD5stearoyl-CoA desaturase 5Gga.6052.3.S1_a_at0.3628%0.0480.4133%0.028

Differentially expressed genes are presented as percentage change of never-immersed (NI) controls versus naturally acclimated to cold marine environment (sea acclimated: SA) or experimentally immersed in cold water (artificially acclimated: AA). For each gene, we provided its symbol followed by its common name and the Affymetrix ProbeSet identification number used to measure its expression. Genes were considered significantly differentially expressed when p-value <0.05.

Conflict of interest

None.
Subject areaBiology
More specific subject areaOxidative stress physiology
Type of dataTable
How data was acquiredMicroarray data were obtained by DNA microarray hybridization (Affymetrix GeneChip® Chicken Genome Array). Tissue: pectoralis muscle biopsy of juvenile king penguins excised under general anesthesia.
Data formatAnalyzed, raw data
Experimental factorsTotal RNA was extracted from pectoralis muscle; biotin labeling and hybridization were performed following standard Affymetrix protocol.
Experimental featuresNever-immersed juvenile penguins serve as control and were compared i) to naturally acclimated penguins returning from a foraging trip at sea and ii) to naïve penguins artificially acclimated to cold water by repeated immersions.
Data source locationPort Alfred, Possession Island (Crozet Archipelago, 46°25’ S, 51°45’ E) and Lyon University (France).
Data accessibilityData is within this article and raw data is available in Gene Expression Omnibus repositories (GEO:GSE17725; http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17725and GEO:GSE82344; http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=yxibwieatzavpqv&acc=GSE82344).
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