Genotype-specific responses in Atlantic salmon (Salmo salar) subject to dietary fish oil replacement by vegetable oil: a liver transcriptomic analysis.
ABSTRACT Expansion of aquaculture is seriously limited by reductions in fish oil (FO) supply for aquafeeds. Terrestrial alternatives such as vegetable oils (VO) have been investigated and recently a strategy combining genetic selection with changes in diet formulations has been proposed to meet growing demands for aquaculture products. This study investigates the influence of genotype on transcriptomic responses to sustainable feeds in Atlantic salmon.
A microarray analysis was performed to investigate the liver transcriptome of two family groups selected according to their estimated breeding values (EBVs) for flesh lipid content, 'Lean' or 'Fat', fed diets containing either FO or a VO blend. Diet principally affected metabolism genes, mainly of lipid and carbohydrate, followed by immune response genes. Genotype had a much lower impact on metabolism-related genes and affected mostly signalling pathways. Replacement of dietary FO by VO caused an up-regulation of long-chain polyunsaturated fatty acid biosynthesis, but there was a clear genotype effect as fatty acyl elongase (elovl2) was only up-regulated and desaturases (Δ5 fad and Δ6 fad) showed a higher magnitude of response in Lean fish, which was reflected in liver fatty acid composition. Fatty acid synthase (FAS) was also up-regulated by VO and the effect was independent of genotype. Genetic background of the fish clearly affected regulation of lipid metabolism, as PPARα and PPARβ were down-regulated by the VO diet only in Lean fish, while in Fat salmon SREBP-1 expression was up-regulated by VO. In addition, all three genes had a lower expression in the Lean family group than in the Fat, when fed VO. Differences in muscle adiposity between family groups may have been caused by higher levels of hepatic fatty acid and glycerophospholipid synthesis in the Fat fish, as indicated by the expression of FAS, 1-acyl-sn-glycerol-3-phosphate acyltransferase and lipid phosphate phosphohydrolase 2.
This study has identified metabolic pathways and key regulators that may respond differently to alternative plant-based feeds depending on genotype. Further studies are required but data suggest that it will be possible to identify families better adapted to alternative diet formulations that might be appropriate for future genetic selection programmes.
-
Article: Omega-3 polyunsaturated fatty acids and human health outcomes.
[show abstract] [hide abstract]
ABSTRACT: Current intakes of very long chain omega-3 fatty acids, eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA) are low in most individuals living in Western countries. A good natural source of these fatty acids is seafood, especially oily fish. Fish oil capsules contain these fatty acids too. Very long chain omega-3 fatty acids are readily incorporated from capsules into transport, functional, and storage pools. This incorporation is dose-dependent and follows a kinetic pattern that is characteristic for each pool. At sufficient levels of incorporation, EPA and DHA influence the physical nature of cell membranes and membrane protein-mediated responses, eicosanoid generation, cell signaling and gene expression in many different cell types. Through these mechanisms, EPA and DHA influence cell and tissue physiology, and the way cells and tissues respond to external signals. In most cases, the effects seen are compatible with improvements in disease biomarker profiles or in health-related outcomes. As a result, very long chain omega-3 fatty acids play a role in achieving optimal health and in protection against disease. Long chain omega-3 fatty acids protect against cardiovascular morbidity and mortality, and might be beneficial in rheumatoid arthritis, inflammatory bowel diseases, childhood learning, and behavior, and adult psychiatric and neurodegenerative illnesses. DHA has an important structural role in the eye and brain, and its supply early in life is known to be of vital importance. On the basis of the recognized health improvements brought about by long chain omega-3 fatty acids, recommendations have been made to increase their intake.BioFactors 05/2009; 35(3):266-72. · 4.93 Impact Factor -
SourceAvailable from: cnr.uidaho.edu
Article: Global overview on the use of fish meal and fish oil in industrially compounded aquafeeds: Trends and future prospects
[show abstract] [hide abstract]
ABSTRACT: The finfish and crustacean aquaculture sector is still highly dependent upon marine capture fisheries for sourcing key dietary nutrient inputs, including fish meal and fish oil. This dependency is particularly strong within compound aquafeeds for farmed carnivorous finfish species and marine shrimp.Results are presented concerning the responses received from a global survey conducted between December 2006 and October 2007 concerning the use of fish meal and fish oil within compound aquafeeds using a questionnaire sent to over 800 feed manufacturers, farmers, researchers, fishery specialists, and other stakeholders in over 50 countries. On the basis of the responses received, it is estimated that in 2006 the aquaculture sector consumed 3724 thousand tonnes of fish meal (68.2% total global fish meal production in 2006) and 835 thousand tonnes of fish oil (88.5% total reported fish oil production in 2006), or the equivalent of 16.6 million tonnes of small pelagic forage fish (using a wet fish to fish meal processing yield of 22.5% and wet fish to fish oil processing yield of 5%) with an overall fish-in fish-out ratio of 0.70. At a species-group level, calculation of small pelagic forage fish input per unit of farmed fish or crustacean output showed steadily decreasing fish-in fish-out ratios for all cultivated species from 1995 to 2006, with decreases being most dramatic for carnivorous fish species such as salmon (decreasing from 7.5 to 4.9 from 1995 to 2006), trout (decreasing from 6.0 to 3.4), eel (decreasing from 5.2 to 3.5), marine fish (decreasing from 3.0 to 2.2) and to a lesser extent shrimp (decreasing by 1.9 to 1.4 from 1995 to 2006. Net fish producing species in 2006 (with fish-in fish-out ratios below 1), included herbivorous and omnivorous finfish and crustacean species, including non-filter feeding Chinese carp (0.2), milkfish (0.2), tilapia (0.4), catfish (0.5), and freshwater crustaceans (0.6).On the basis of increasing global fish meal and fish oil costs, it is predicted that dietary fish meal and fish oil inclusion levels within compound aquafeeds will decrease in the long term, with fish meal and fish oil usage increasingly being targeted for use as a high value specialty feed ingredient for use within higher value starter, finisher and broodstock feeds, and by so doing extending supply of these much sought after and limited feed ingredient commodities.Aquaculture. -
Article: Heritability and mechanisms of n−3 long chain polyunsaturated fatty acid deposition in the flesh of Atlantic salmon
Michael J. Leaver, John B. Taggart, Laure Villeneuve, James E. Bron, Derrick R. Guy, Stephen C. Bishop, Ross D. Houston, Oswald Matika, Douglas R. Tocher[show abstract] [hide abstract]
ABSTRACT: n− 3 long chain polyunsaturated fatty acids (n− 3LC-PUFA) are essential components of vertebrate membrane lipids and are now at critically low levels in modern Western diets. The main human dietary source for n− 3LC-PUFA is fish and seafood, and over 50% of global fish production is currently supplied by aquaculture. However, increasing pressure to include vegetable oils, which are devoid of n− 3LC-PUFA, in aquaculture feeds reduces their content in farmed fish flesh. The aim of this study was to measure the heritability and infer mechanisms determining flesh n− 3LC-PUFA content in Atlantic salmon. This was achieved by analysing flesh lipid parameters in 48 families of Atlantic salmon and by measuring differences, by high density microarray, in hepatic mRNA expression in families with high and low flesh n− 3LC-PUFA. The results show that flesh n− 3LC-PUFA composition is a highly heritable trait (h2 = 0.77 ± 0.14). Gene ontology analysis of differentially expressed genes indicates increased hepatic lipid transport, likely as very low density lipoprotein (VLDL), and implicates family differences in transforming growth factor β1 (Tgfβ1) signalling, activities of a transcription factor Snai1, and considered together may indicate alterations in hepatic nuclear factor 4α (HNF4α), a master controller of lipid homeostasis. This study paves the way for identification of quantitative trait loci and gene interaction networks that are associated with flesh n− 3LC-PUFA composition, which will assist the sustainable production of Atlantic salmon and provide optimal levels of critical nutrients for human consumers.Comparative Biochemistry and Physiology Part D Genomics and Proteomics 6(1):62-69. · 1.72 Impact Factor
Page 1
RESEARCH ARTICLEOpen Access
Genotype-specific responses in Atlantic salmon
(Salmo salar) subject to dietary fish oil replacement
by vegetable oil: a liver transcriptomic analysis
Sofia Morais1*, Jarunan Pratoomyot1, John B Taggart1, James E Bron1, Derrick R Guy2, J Gordon Bell1and
Douglas R Tocher1
Abstract
Background: Expansion of aquaculture is seriously limited by reductions in fish oil (FO) supply for aquafeeds.
Terrestrial alternatives such as vegetable oils (VO) have been investigated and recently a strategy combining genetic
selection with changes in diet formulations has been proposed to meet growing demands for aquaculture products.
This study investigates the influence of genotype on transcriptomic responses to sustainable feeds in Atlantic salmon.
Results: A microarray analysis was performed to investigate the liver transcriptome of two family groups selected
according to their estimated breeding values (EBVs) for flesh lipid content, ‘Lean’ or ‘Fat’, fed diets containing either FO
or a VO blend. Diet principally affected metabolism genes, mainly of lipid and carbohydrate, followed by immune
response genes. Genotype had a much lower impact on metabolism-related genes and affected mostly signalling
pathways. Replacement of dietary FO by VO caused an up-regulation of long-chain polyunsaturated fatty acid
biosynthesis, but there was a clear genotype effect as fatty acyl elongase (elovl2) was only up-regulated and
desaturases (Δ5 fad and Δ6 fad) showed a higher magnitude of response in Lean fish, which was reflected in liver fatty
acid composition. Fatty acid synthase (FAS) was also up-regulated by VO and the effect was independent of genotype.
Genetic background of the fish clearly affected regulation of lipid metabolism, as PPARa and PPARb were down-
regulated by the VO diet only in Lean fish, while in Fat salmon SREBP-1 expression was up-regulated by VO. In addition,
all three genes had a lower expression in the Lean family group than in the Fat, when fed VO. Differences in muscle
adiposity between family groups may have been caused by higher levels of hepatic fatty acid and glycerophospholipid
synthesis in the Fat fish, as indicated by the expression of FAS, 1-acyl-sn-glycerol-3-phosphate acyltransferase and lipid
phosphate phosphohydrolase 2.
Conclusions: This study has identified metabolic pathways and key regulators that may respond differently to
alternative plant-based feeds depending on genotype. Further studies are required but data suggest that it will be
possible to identify families better adapted to alternative diet formulations that might be appropriate for future
genetic selection programmes.
Background
Fish are highly nutritious components of the human diet.
In addition to providing high quality and easily digested
protein, vitamins and minerals, they are particularly
important in being the main source of essential n-3 long-
chain polyunsaturated fatty acids (LC-PUFA). The bene-
ficial effects of these fatty acids, such as eicosapentaenoic
acid (EPA) and docosahexaenoic acid (DHA), include
prevention of a range of cardiovascular and inflammatory
diseases, and neurological disorders [1]. With catches
from commercial fisheries stagnating since 2001, aqua-
culture is supplying an increasing proportion of fish for
human consumption, estimated at around 50% of total
supply in 2008 [2]. However, the expansion of aquacul-
ture and the demands it makes upon resources provide
many challenges, leading to questions concerning the
sustainability of this activity. In particular, marine and
salmonid aquaculture relies heavily on fish meal (FM)
* Correspondence: sofia.morais@stir.ac.uk
1Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK
Full list of author information is available at the end of the article
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
© 2011 Morais et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited.
Page 2
and fish oil (FO), obtained from wild fishery stocks, for
the production of fish feeds and around 88.5% of the
total global production of FO is currently used by aqua-
culture [3]. The increasing scarcity of FO supplies will
seriously limit aquaculture growth, and the future of this
activity therefore strongly depends on reducing its reli-
ance on FO by seeking to replace them with alternative,
largely terrestrial, oils. Vegetable oils (VO) represent a
potentially critical resource in this respect. However, VO
lack the n-3 LC-PUFA which are abundant in FO, and
farming fish on diets containing a high proportion of VO
results in lower levels of these omega-3 fatty acids in
flesh, compromising their health-promoting effects to the
human consumer [4].
The use of selective breeding programs to enhance
traits of commercial importance is becoming increasingly
more common in aquaculture [5]. Combining genetic
selection with changes in commercial feed formulations
(i.e., higher levels of inclusion of VO) may be a viable
strategy to meet worldwide demand for farmed fish with-
out compromising animal welfare or nutritional value.
Recently we showed that deposition and/or retention in
flesh of dietary n-3 LC-PUFA, EPA and DHA, is a highly
heritable trait in salmon [6], prompting further interest
in exploring genotype-nutrient interactions. Other recent
work has investigated potential interactions between
genetic selection for body fatness and dietary lipid level
in rainbow trout [7,8], and the effects of FM and/or FO
replacement on the liver transcriptome of both rainbow
trout and Atlantic salmon [9-11]. However, there are few
data on the interaction between genotype and dietary
fatty acid composition. In this respect, microarrays have
great potential for application as hypothesis-generating
tools. The objective of the present study was to investi-
gate nutrient-genotype interactions in two groups of
Atlantic salmon families, Lean and Fat, fed diets where
FO was completely replaced by a VO blend. The knowl-
edge gained concerning how this substitution affects
hepatic metabolism and, furthermore, how these effects
may depend on the genetic background of the fish, not
only informs our understanding of lipid metabolism
more generally but is also highly relevant to the strategy
of genetic selection for families better adapted to alterna-
tive and more sustainable feed formulations in the future.
A previous study has already focused on hepatic choles-
terol and lipoprotein metabolism [12], which was shown
to present a significant diet × genotype interaction, while
here we will present more broadly the effects of the fac-
tors ‘diet’ and ‘genotype’.
Results
Microarray results
Two-way ANOVA of the cDNA microarray dataset
returned a high number of features showing evidence of
differential expression for each factor - 713 for diet and
788 for genotype - and hence a more detailed analysis
was restricted to the top 100 most significant hits for
each factor, which were then categorised according to
function (excluding 33-35% non-annotated features)
(Figure 1). The functional category most affected by diet
was that of metabolism (mainly lipid and carbohydrate
metabolism), while immune response and intracellular
trafficking were also affected. Within lipid metabolism,
the affected genes are involved in PUFA, fatty acid and
cholesterol biosynthesis (fatty acyl desaturases - Δ5 fad
and Δ6 fad, fatty acid synthase - FAS, squalene monoox-
ygenase and possibly cytochrome P450 reductase), gly-
cerophospholipid metabolism (phospholipase D3) and
acylglycerol homeostasis (angiopoietin-like 3). Some
genes related to carbohydrate metabolism, implicated in
glycolysis, glutamine/fructose 6-phosphate and glycerol-
3-phosphate metabolism, such as alpha-enolase, gluta-
mine-fructose-6-phosphate transaminase 1(GFPT1) and
glycerol kinase, respectively, were also identified as
being significantly affected by diet. Genotype had a
lower impact on metabolism-related genes (primarily
Figure 1 Functional categories of genes differentially expressed
in Atlantic salmon liver. The top 100 most significant clones (two-
way ANOVA analysis; p < 0.05) which were differentially expressed
between the two diets (A) and family groups (B) were categorized
according to biological function. Non-annotated clones, those
representing the same gene or with a miscellaneous function (Tables
2 and 3) are not represented.
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 2 of 17
Page 3
lipid and protein metabolism) and affected mostly genes
involved in signalling. Regarding lipid metabolism, pri-
mary roles of affected genes are in glycerophospholipid
metabolism (N-acylethanolamine-hydrolyzing acid ami-
dase precursor, lipid phosphate phosphohydrolase 2 -
LPP2 and 1-acyl-sn-glycerol-3-phosphate acyltransferase
- AGPAT), fatty acid transport (intestinal fatty acid
binding protein) and lipoprotein metabolism (apolipo-
protein B - ApoB and endothelial lipase - EL). In addi-
tion, both factors had an effect on a relatively high
number of transcription-related genes. Detailed lists of
the top 100 most significant genes for diet and geno-
type, organised by biological function and including the
normalised expression ratio between treatments, are
shown in Tables 1 and 2, respectively. Gene Ontology
enrichment analysis, which enables the identification of
GO terms significantly enriched in the input entity list
when compared to the whole array dataset, was per-
formed for both factors, providing evidence for which
biological processes may be particularly altered in the
experimental conditions being compared. For diet, seven
significant GO terms, all interrelated, were identified:
oxidoreductase activity, stearoyl-CoA 9-desaturase activ-
ity, unsaturated fatty acid biosynthetic and metabolic
processes, very long chain fatty acid (VLCFA) biosyn-
thetic and metabolic processes. This is explained by the
high number of Δ5 fad and Δ6 fad features that were
significantly altered when dietary FO was replaced by
VO (Table 1). In contrast, no GO terms were signifi-
cantly enriched in the genotype list.
RT-qPCR
Quantification of gene expression by RT-qPCR was per-
formed to partially validate the microarray results and to
examine particular genes of interest in detail. The latter
included several fatty acyl desaturase and elongase genes
involved in the LC-PUFA biosynthesis pathway that were
identified by GO analysis as being significantly affected
by diet, as well as peroxisome proliferator-activated
receptors (PPAR) and sterol regulatory element binding
protein 1 (SREBP-1), which have important roles in regu-
lating the expression of multiple lipid metabolism genes
(Table 3). In spite of the generally low fold changes, a
good correspondence in terms of expression ratios or in
the direction of change (up- or down-regulation), was
obtained between the microarray and RT-qPCR results
for most quantified genes, including Δ5 fad and Δ6 fad,
FAS and heme oxygenase 1 (HOX) for the factor diet,
and ApoB, LPP2 and AGPAT for the factor genotype
(Tables 1, 2, 3). However, comparison of the microarray
and RT-qPCR expression results show an inverse change
in expression for GFPT1 and glutathione S-transferase A
(GST) in response to diet, the latter only in the Fat
group, and of EL between family groups, although only
when feeding on FO (where the fold-change in the
microarray was negligible). Nonetheless, a perfect match
was not expected given that RT-qPCR primers were
obtained either from published work (e.g., GST) or, when
available, designed on well characterized sequences such
as GenBank reference sequences or clusters on the gene
index database for Atlantic salmon (ASGI), which do not
necessarily match exactly the clone on the array. In fact,
in the case of EL there is evidence that the microarray
probe has high similarity with multiple EST’s and hence
is likely to have resulted in cross-hybridisation [12], while
the reference sequence for GFPT1 and the clone in the
microarray are only 93% identical in the aligned region.
In terms of regulation of gene expression by the factor
diet, the qPCR results confirmed the significant up-regu-
lation of Δ5 fad and Δ6 fad in fish fed VO, with a higher
fold change being measured for Δ6 fad. In addition, the
expression ratio was higher in the Lean family group
than in Fat fish, as had also been indicated in the micro-
array analysis. Of the elongase genes, only elovl2 was sig-
nificantly up-regulated by the VO diet, but just in the
Lean family group. Furthermore, quantification of PPAR
genes revealed that only PPARa was down-regulated sig-
nificantly when salmon were fed the VO diet, but only in
the Lean family group. On the other hand, expression of
SREBP-1 was only significantly affected in Fat fish, being
up-regulated in fish fed the VO diet. Other genes which
were significantly and consistently regulated were FAS
and EL (both up-regulated when VO replaced FO in the
diet), while GST, HOX and AGPAT only showed signifi-
cant regulation in Fat fish. Finally, comparison between
the two family groups showed a significantly lower
expression of Δ5 fad, Δ6 fad, PPARa, PPARb, SREBP-1
and GST in the Lean group but only when fish were fed
FO, in the case of fads, or when fed the VO diet, in the
case of PPARs, SREBP-1 and GST. In addition, FAS was
also significantly down-regulated in the Lean group, inde-
pendent of diet.
Liver fatty acid composition
Fatty acid analysis of liver showed significant differences
in all fatty acid classes related mostly to diet but also to
genotype (except for total n-3 PUFA and total PUFA)
(Table 4). The percentage of total n-6 PUFA (reflecting
mainly 18:2n-6) was significantly increased when VO
replaced FO in the diet. Levels of total n-3 PUFA were,
on the other hand, significantly higher in the FO treat-
ments independent of genotype. For EPA and DHA
there was a significant diet × genotype interaction,
resulting from the fact that, when comparing Fat and
Lean fish, higher levels of these LC-PUFA were found in
the Fat family group when fed the FO diet but the
inverse was observed when the same fish were fed the
VO diet.
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 3 of 17
Page 4
Table 1 Liver transcripts corresponding to the top 100 most significant features exhibiting differential expression
between diets
Accession or probe number GeneVO/FO ANOVA p-value
LeanFat
Metabolism
Lipid metabolism
can_D6D_S1B04
can_D6D_S1B03
can_D5D_S1B01
can_D6O_S1B06
CK887422
EG647320
CK876943
can_D5D_S1B02
CK894344
EG647463
liv_lrr_01F07
can_D5O_S1B05
CK879648
Protein and amino acid metabolism
CK893821
CK884400
Carbohydrate metabolism
int_oss_T4F08
liv_lrr_01A06
CO470771
Xenobiotic and oxidant metabolism
AJ425332
EG355339
Transport/intracellular trafficking
CK886667
CN181143
DW588711
CK894482
CK887866
CO470399
EG647422
EG648286
AM083913
Regulation of transcription
CK894063
CK890154
EG648112
CK885196
CK890573
CK883722
Translation
AM402452
Signalling/Signal transduction
CK886572
CK892148
ova_opk_09K06
CK873849
Delta-6 fatty acyl desaturase
Delta-6 fatty acyl desaturase
Delta-5 fatty acyl desaturase
Delta-6 fatty acyl desaturase
Delta-6 fatty acyl desaturase
Delta-6 fatty acyl desaturase
Fatty acid synthase
Delta-5 fatty acyl desaturase
Phospholipase D3
Cytochrome P450 reductase
Angiopoietin-like 3
Delta-6 fatty acyl desaturase
Squalene monooxygenase
2.8
2.1
2.3
2.0
2.0
1.8
1.4
2.1
- 1.1
- 1.4
1.2
1.5
1.9
1.9
1.4
1.5
1.4
1.8
1.4
1.6
1.2
- 1.2
- 1.1
1.4
1.2
1.1
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
0.0001
0.0002
0.0003
0.0006
0.0017
0.0020
0.0045
0.0058
Sequestosome 1or ubiquitin-binding protein P62
Kynureninase (L-kynurenine hydrolase)
- 1.3
1.3
- 1.1
1.2
0.0022
0.0065
Alpha-enolase putative- 1.2
1.2
1.1
- 1.0
1.8
1.1
0.0007
0.0032
0.0062
Glutamine-fructose-6-phosphate transaminase 1
Glycerol kinase
Thioredoxin domain-containing protein 8
Glutathione S-transferase A
- 1.3
- 1.4
- 1.3
- 1.4
0.0024
0.0036
Na/K ATPase
Coatomer subunit alpha
Synaptic vesicle glycoprotein 2B
Taurine transporter
1.5
1.2
1.1
- 1.3
1.2
- 1.2
- 1.2
1.2
- 1.3
1.1
1.4
1.1
- 1.3
1.1
- 1.2
- 1.1
1.3
- 1.2
<0.0001
0.0004
0.0004
0.0019
0.0022
0.0044
0.0047
0.0055
0.0068
ABC-type branched-chain amino acid transport systems ATPase component
Sodium/potassium-transporting
Transferrin
ATP-binding cassette sub-family B member 10, mitochondrial
Chromatin modifying protein 2a
Zinc finger protein 183
Butyrate response factor 2
Retrovirus-related Pol polyprotein
CCAAT/enhancer binding protein delta1
MADS box protein AP1b
Y-box binding protein
- 1.5
1.5
1.1
1.2
1.2
1.1
- 1.3
1.1
1.3
1.2
1.2
1.3
0.0003
0.0043
0.0046
0.0052
0.0053
0.0067
Phenylalanyl-tRNA synthetase, alpha subunit1.41.90.0022
GSK-3-binding protein
Growth factor receptor-bound protein 7
Phosphoinositide 3-protein kinase
Receptor-type tyrosine-protein phosphatase beta precursor
1.9
- 1.5
- 1.1
- 1.1
1.0
- 1.1
- 1.3
- 1.1
0.0002
0.0028
0.0031
0.0036
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 4 of 17
Page 5
Table 1 Liver transcripts corresponding to the top 100 most significant features exhibiting differential expression
between diets (Continued)
DW590775 Myozenin-11.6 1.5 0.0055
Immune response
EG647383
AM402762
EG649410
AJ425750
CK884265
AM402841
CK886548
spl_sts_18A08
CK880083
AJ425732
Human leukocyte antigen (HLA) class II histocompatibility
Complement component C8 alpha chain
D-dopachrome tautomerase
Non-histone chromosomal protein H6
Ganglioside GM2 activator
Complement component C8 alpha chain
T cell receptor (TCR)-alpha/delta locus
Leukotriene B4 receptor 1 putative
Interleukin-15 precursor
CD97 antigen isoform 2
1.1
1.3
1.4
1.1
1.3
1.5
- 1.2
- 1.4
1.1
1.2
1.2
1.7
1.1
1.3
1.1
2.1
- 1.0
- 1.1
1.3
1.1
0.0008
0.0018
0.0019
0.0024
0.0030
0.0032
0.0041
0.0047
0.0067
0.0066
Miscellaneous and unknown function
CK897269
AM402518
CK894173
kid_cki_A1E04
CO469646
CO469710
AJ425502
CK885237
AJ425502
DW588567
CK897725
BM414485
BM414504
BI468143
CK885116
Biotinidase precursor
Biotinidase
EFHD2 (EF hand domain containing2)
S100-A1 calcium binding
beta B3-crystallin
Transmembrane protein 30A
Heme oxygenase 1
EF-hand domain-containing protein D2
Heme oxygenase 1
S100 calcium binding protein beta subunit
Type-1 growth hormone
Apoptosis-inducing factor mitochondrion-associated inducer
Syndecan 2
Anaphase-promoting complex subunit CDC26
17-beta hydroxysteroid dehydrogenase 13
1.3
1.4
1.2
1.4
- 1.1
- 1.1
- 2.7
1.1
- 2.6
1.1
1.1
1.5
- 1.2
- 1.3
- 1.1
1.7
1.9
1.1
1.1
- 1.0
- 1.2
- 1.7
1.1
- 1.4
1.1
1.1
1.4
- 1.1
- 1.3
- 1.4
0.0002
0.0006
0.0007
0.0009
0.0012
0.0019
0.0024
0.0026
0.0037
0.0042
0.0053
0.0054
0.0061
0.0064/p>
0.0065
Annotated features (65% of all clones) are arranged by categories of biological function and, within these, by decreasing significance (assessed by two-way
ANOVA). Also indicated are the GenBank accession numbers for each clone (or, when not available, the probe number is given instead) and the expression ratio
between fish fed VO and those fed FO, for each genotype (Lean and Fat).
Table 2 Liver transcripts corresponding to the top 100 most significant features exhibiting differential expression
between family groups
Accession or probe numberGeneLean/FatANOVA p-value
FOVO
Metabolism
Lipid metabolism
CK889835
can_Apo_S1A12
BM414066
CK898924
AJ425826
CO470953
N-acylethanolamine-hydrolyzing acid amidase precursor
Apolipoprotein B
Endothelial lipase precursor
Lipid phosphate phosphohydrolase 2
Intestinal fatty acid binding protein
1-acyl-sn-glycerol-3-phosphate acyltransferase
- 1.4
- 1.4
- 1.1
- 1.2
1.1
- 1.1
- 1.2
- 1.1
- 1.6
- 1.2
1.2
- 1.3
0.0001
0.0014
0.0015
0.0017
0.0032
0.0040
Energy metabolism/generation of precursor metabolites
EG649459
Protein and amino acid metabolism
CK900470
mus_mfo_15B08
EG648604
NADH dehydrogenase (ubiquinone) 1 beta subcomplex1.21.2 0.0009
26S protease regulatory subunit 7
Proteasome subunit alpha type-1
Serine protease-like protein
- 1.1
1.2
1.0
- 1.2
1.1
1.4
0.0020
0.0021
0.0023
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 5 of 17
Page 6
Table 2 Liver transcripts corresponding to the top 100 most significant features exhibiting differential expression
between family groups (Continued)
CO470297
DW592216
Transmembrane protease, serine 2
Ubiquitin carboxyl-terminal hydrolase 5
- 1.2
- 1.1
- 1.1
- 1.1
0.0032
0.0040
Transport/intracellular trafficking
CK886667
CK884193
CK890974
CK896189
CK880187
Regulation of transcription
CK881770
CK888834
CK895950
CK884953
CK888548
CK883410
int_rpk_78B12
CK876044
DW589427
Translation
AJ424434
gil_oss_G6P11
EG648403
CK893177
DW591137
EG647811
EG648956
AJ424851
Signalling/Signal transduction
CK884714
EG648400
CK888542
CK886572
CK877143
EG648399
EG648333
CK898969
DW589782
CK898590
CK897997
AJ424385
Structural proteins
AJ425204
Immune response
CK886548
CK894741
AM042439
kid_cki_A1G02
CO471904
CK894557
AM042249
bra_opk_01B08
Na/K ATPase1.1
1.1
- 1.2
- 1.3
- 1.3
1.6
1.2
- 2.2
- 2.3
- 1.1
<0.0001
0.0002
0.0002
0.0002
0.0011
Polycystin-2 (Polycystic kidney disease 2 protein homolog)
Mitochondrial solute carrier family 25 member 25
Mitochondrial solute carrier family 25 member 25
ATP-binding cassette sub-family B member 8, mitochondrial
Hematopoietically-expressed homeobox protein
BTEB transcription factor
Transcription factor CP2-like
Nuclear transcription factor Y subunit beta
Rev protein - Human immunodeficiency virus 1
Retinoic acid receptor gamma (nuclear receptor)
Sp3 transcription factor
Homeobox protein HoxB13
Cullin-associated and neddylation-dissociated 1 (CAND1)
- 1.1
- 1.4
- 1.2
- 1.2
- 1.5
- 1.1
- 1.1
- 1.2
1.4
- 1.6
- 1.5
- 1.6
- 1.1
- 1.0
- 1.1
- 1.4
- 1.2
1.1
0.0001
0.0002
0.0010
0.0015
0.0019
0.0020
0.0035
0.0041
0.0044
Ribosome production factor 1
40S ribosomal protein S23
60S ribosomal protein L7a
40S ribosomal protein S26
40S ribosomal protein S3a
60S ribosomal protein L7
Eukaryotic translation initiation factor 1A
40S ribosomal protein S18
1.1
1.3
1.2
1.1
- 1.2
1.1
1.1
1.2
1.2
1.3
1.2
1.2
- 1.1
1.1
1.1
1.2
0.0002
0.0008
0.0013
0.0013
0.0024
0.0026
0.0033
0.0034
14-3-3 protein epsilon1.1
- 1.2
- 1.2
- 1.1
- 1.1
- 1.2
1.1
- 1.1
1.1
- 1.0
- 1.1
- 1.1
1.1
- 1.2
- 2.5
1.8
- 1.4
- 1.1
1.2
- 1.1
1.2
- 1.2
- 1.1
- 1.2
0.0003
0.0004
0.0008
0.0009
0.0010
0.0016
0.0018
0.0019
0.0034
0.0035
0.0039
0.0041
Guanine nucleotide binding protein (G protein)
Insulin-like growth factor binding protein 1
GSK-3-binding protein putative
Calpain-1
PTC7 protein phosphatase homolog
Stathmin
G-protein coupled receptor 37
Amyloid beta (A4) precursor-like protein
Mitogen-activated protein kinase kinase 4
Calpastatin
Protein tyrosine phosphatase, receptor-type, zeta1
Tropomyosin-1 alpha (muscle contraction) - 1.1 - 1.20.0031
T cell receptor (TCR)-alpha/delta locus
Complement factor D (adapsin)
Major histocompatibility complex (MHC) class I antigene
Interferon-inducible protein
Major histocompatability complex (MHCI)
Major histocompatability complex (MHCI)
Major histocompatability complex (MHCI)
Scavenger receptor cysteine-rich gene
- 1.1
- 1.1
- 1.3
- 1.2
- 1.1
- 1.2
- 1.1
- 1.3
- 1.2
- 1.2
- 1.4
- 1.4
- 1.2
- 1.1
- 1.2
- 1.6
0.0005
0.0007
0.0014
0.0015
0.0019
0.0023
0.0025
0.0029
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 6 of 17
Page 7
Discussion
In the present study we analysed the effects of diets
containing high levels of plant proteins and with com-
plete replacement of FO by VO on the liver transcrip-
tome of Atlantic salmon, which is the primary metabolic
organ of fish, as well as the influence of genotype on
these responses. Here we focus on the separate effects
of diet and genotype given that interactions, indicating
pathways that were differentially affected by diet
depending on the genetic background of the fish, were
discussed in detail previously [12].
A common methodological difficulty in this type of
nutritional experiment is that effects are typically quite
subtle although physiological and metabolic pathways can
be impacted by even small fold changes in gene expres-
sion. This has been demonstrated by several studies
Table 2 Liver transcripts corresponding to the top 100 most significant features exhibiting differential expression
between family groups (Continued)
CO469739
AJ424124
hrt_opk_07E23
T-cell receptor(TCR)-alpha/delta locus
Major histocompatibility complex (MHC class I)
Interferon alpha 1-like
- 1.1
- 1.2
- 1.1
- 1.1
- 1.1
- 1.1
0.0030
0.0037
0.0041
Miscellaneous and unknown function
CK898014
kid_cki_A2A05
EG647643
liv_lrr_07B04
AM402622
EG648147
BM414485
DW589496
Protein fuzzy homolog
Cyclin B2
Purine nucleoside phosphorylase
Nuclear protein 1
Non-POU domain containing, octamer-binding
Adhesion-regulating molecule 1
Apoptosis-inducing factor mitochondrion-associated inducer
Cyclin-dependent kinase inhibitor
- 1.1
- 1.3
- 1.1
- 1.1
- 1.7
- 1.2
1.4
- 1.2
- 1.2
- 1.4
- 2.0
- 2.1
- 1.4
- 1.1
1.5
- 1.3
0.0002
0.0006
0.0010
0.0028
0.0029
0.0037
0.0038
0.0044
Annotated features (67% of all clones) are arranged by categories of biological function and, within these, by decreasing significance (assessed by two-way
ANOVA). Also indicated are the GenBank accession numbers for each clone (or, when not available, the probe number is given instead) and the expression ratio
between Lean and Fat fish fed either FO or VO.
Table 3 Relative expression of genes assayed by RT-qPCR in liver of Atlantic salmon
VO/FO Lean/Fat
Lean FatFO VO
Genes Ratio p-valueRatio p-value Ratio p-valueRatio p-value
Δ5 fad
Δ6 fad_a
elovl5a
elovl5b
elovl2
FAS
PPARa
PPARb
PPARg
SREBP-1
GST
HOX
GFPT1
ApoB
EL
LPP2
AGPAT
3.95
8.27
1.18
1.57
2.35
1.76
-2.22
-1.92
-1.10
-1.16
-1.18
-2.69
-1.33
1.40
3.52
-1.33
1.40
0.001
0.000
0.505
0.184
0.025
0.005
0.000
0.161
0.828
0.761
0.412
0.132
0.244
0.443
0.034
0.506
0.375
2.04
4.52
-1.03
1.05
-1.04
2.11
1.10
1.56
-1.67
3.32
1.40
-1.82
-1.65
1.84
8.57
-1.31
1.42
0.002
0.004
0.817
0.758
0.841
0.003
0.643
0.169
0.251
0.004
0.010
0.013
0.090
0.152
0.002
0.606
0.041
-2.33
-1.85
-1.18
-1.25
-1.56
-1.72
-1.16
1.24
-2.00
1.82
1.29
1.83
-1.18
-1.15
1.38
-1.22
-1.05
0.009
0.049
0.420
0.471
0.098
0.001
0.358
0.659
0.214
0.332
0.210
0.271
0.619
0.791
0.494
0.754
0.906
-1.20
-1.02
1.03
1.19
1.58
-2.04
-2.86
-2.44
-1.32
-2.13
-1.28
1.24
1.05
-1.52
-1.75
-1.25
-1.07
0.317
0.942
0.908
0.416
0.112
0.011
0.001
0.002
0.229
0.022
0.028
0.120
0.783
0.076
0.115
0.516
0.574
Values are normalised (by cofilin-2) gene expression ratios between fish fed VO in relation to FO for each family group or of Lean fish in relation to the Fat group
when fed either one of the diets. Values in bold are significantly different, at p < 0.05 (REST 2008).
fad: fatty acyl desaturase (Δ5 and Δ6); elovl: elongase (three different transcripts); FAS: Fatty acid synthase; PPARs; peroxisome proliferator-activated receptors
(three isoforms); SREBP-1: Sterol regulatory element binding protein-1; GST: glutathione S-transferase A; HOX: heme oxygenase 1; GFPT1: glutamine-fructose-6-
phosphate transaminase 1; ApoB: apolipoprotein B; EL: endothelial lipase; LPP2: lipid phosphate phosphohydrolase 2; AGPAT: 1-acyl-sn-glycerol-3-phosphate
acyltransferase.
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 7 of 17
Page 8
[7,9,11] and by previously reported data from the present
study showing that low fold changes in gene expression
were associated with biochemical differences in tissue lipid
class and apolipoprotein composition [12]. Furthermore,
low fold changes observed in this study were generally cor-
roborated by RT-qPCR, even if the low expression ratios
meant that differences were not always significant. It
should also be noted that a total match between the
microarray and the RT-qPCR results is not expected due
to the approach taken to design RT-qPCR primers on bet-
ter annotated reference sequences rather than on less well
characterized microarray clones. In view of the whole gen-
ome duplication event that occurred in salmonid fishes
[13], transcriptomic and gene expression studies are often
more challenging due to the presence of duplicated and
highly similar genes whose transcripts might be differen-
tially regulated, as observed previously for lipoprotein
lipase [12]. Therefore, collectively, and in conjunction with
previous studies, data obtained in the present microarray
study enabled identification of pathways that may be dif-
ferentially affected by both dietary oil composition and
genetic background related to flesh adiposity.
Effects of diet on lipid metabolism
Within the list of genes affected by diet, those involved in
fatty acyl desaturation were prominent, leading to the
identification, through GO enrichment analysis, of
several terms related to LC-PUFA biosynthetic and meta-
bolic processes. The up-regulation of Δ5 fad and Δ6 fad
in both family groups when dietary FO was replaced by
VO was confirmed by RT-qPCR. Several studies have
previously demonstrated up-regulation of genes involved
in LC-PUFA biosynthesis in salmon when FO is replaced
by VO [10,14,15]. RT-qPCR also confirmed previous
work showing that elovl2 is responsive to dietary n-3 LC-
PUFA levels [15], being the only elongase whose expres-
sion was up-regulated when FO was replaced by VO.
However, a significant effect was only observed in the
Lean family group. In addition, both microarray and RT-
qPCR analyses indicated that the up-regulation of Δ5 fad
and Δ6 fad showed a considerably higher fold-change in
the Lean fish, due mainly to lower basal expression of
fads in Lean salmon, compared to Fat, when fed FO.
These results indicate that the activity of this biosynthetic
pathway may be dependent on the genetics of the fish,
with different family groups showing differences in the
magnitude of response. The liver fatty acid composition
revealed that differences in EPA and DHA levels between
fish fed either diet were smaller in the Lean fish, due to
higher n-3 LC-PUFA in fish fed VO and lower n-3 LC-
PUFA in fish fed FO, compared to the equivalent treat-
ments in the Fat group. In addition, intermediates in the
biosynthetic pathway, such as 20:4n-3 and 22:5n-3,
tended to be present at higher levels in the Lean family
Table 4 Liver fatty acid composition (percentage of total fatty acids) of Atlantic salmon Lean and Fat family groups
fed diets containing either FO or VO
ParametersFO VO ANOVA
Fat Lean Fat Lean DietGenotype Diet×Gen
Fatty acid
Total saturated
Total monoenes
18:2n-6
18:3n-6
20:2n-6
20:3n-6
20:4n-6
22:5n-6
Total n-6 PUFA
18:3n-3
18:4n-3
20:3n-3
20:4n-3
20:5n-3
22:5n-3
22:6n-3
Total n-3 PUFA
Total PUFA
25.8 ± 0.8
23.8 ± 1.3
2.9 ± 0.1
0.1 ± 0.1
0.5 ± 0.0
0.4 ± 0.0
2.2 ± 0.2
0.2 ± 0.0
6.3 ± 0.3
1.0 ± 0.0
0.4 ± 0.1
0.2 ± 0.0
1.6 ± 0.1
8.6 ± 0.3
3.6 ± 0.2
28.6 ± 1.0
44.1 ± 1.1
50.4 ± 1.2
22.1 ± 1.5
31.1 ± 2.5
3.0 ± 0.3
0.1 ± 0.1
0.7 ± 0.0
0.4 ± 0.0
1.9 ± 0.2
0.2 ± 0.1
6.3 ± 0.4
1.1 ± 0.2
0.4 ± 0.1
0.3 ± 0.0
2.3 ± 0.3
8.2 ± 0.4
4.4 ± 0.3
23.7 ± 1.9
40.5 ± 1.5
46.8 ± 1.5
19.1 ± 1.0
40.8 ± 3.3
10.1 ± 0.2
0.1 ± 0.1
1.6 ± 0.2
1.3 ± 0.1
1.2 ± 0.1
0.1 ± 0.0
14.4 ± 0.3
4.3 ± 0.2
0.3 ± 0.0
0.7 ± 0.1
1.1 ± 0.1
4.7 ± 0.4
1.9 ± 0.2
12.6 ± 1.5
25.7 ± 2.4
40.2 ± 2.6
18.3 ± 1.0
39.0 ± 2.5
10.4 ± 0.2
0.1 ± 0.0
1.9 ± 0.1
1.4 ± 0.1
1.4 ± 0.1
0.1 ± 0.0
15.3 ± 0.3
4.7 ± 0.2
0.3 ± 0.1
0.7 ± 0.3
1.3 ± 0.1
5.2 ± 0.4
2.1 ± 0.1
13.1 ± 1.1
27.4 ± 1.4
42.8 ± 1.6
<0.0001
<0.0001
<0.0001
ns
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
0.0104
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
0.0141
0.0317
ns
<0.0001
ns
ns
ns
0.0031
0.0021
ns
ns
<0.0001
ns
<0.0001
0.0011
ns
ns
0.0044
0.0002
ns
ns
ns
ns
0.0009
ns
0.0031
0.0466
ns
ns
0.0021
0.0085
0.0025
0.0002
0.0009
0.0004
Results are means ± SD (n = 6) and p-values of two-way ANOVA are presented for factors ‘diet’, ‘genotype’ and interaction between both factors. ns, not
significantly different (p > 0.05).
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 8 of 17
Page 9
group, suggesting that differences observed in the levels
of mRNA of LC-PUFA biosynthesis genes, which have
been shown to correlate with the enzymatic activity of
this pathway in salmon [16,17], were reflected in bio-
chemical composition.
Another lipid metabolism gene significantly affected by
diet was FAS, which was up-regulated in both family
groups when fed VO. A well demonstrated effect of diet-
ary FO supplementation in mammals is hypotriglyceride-
mia, resulting from a coordinated effect of n-3 LC-PUFA
in suppressing hepatic lipogenesis and enhancing fatty
acid oxidation in liver and muscle [18]. Furthermore, this
gene also appears to be regulated at a pre-translational
level and hence changes in FAS transcription are likely to
result in important effects in terms of enzyme activity
[19]. Similar mechanisms are believed to operate in fish
but, although reduced hepatic lipogenic activity modu-
lated by LC-PUFA has been demonstrated in vitro [20], a
direct relationship with dietary FO and VO has not
always been clear in vivo [21,22]. The regulation of FAS
in response to FO replacement by VO did not show an
interaction with the flesh leanness/fatness phenotype in
this study, as might have been expected. This was
because genotype also had a significant effect, with the
Lean group having lower levels of FAS expression than
the Fat fish, with a similar fold-change in both diets.
Regulation of lipid metabolism is complex and con-
trolled by several transcription factors and nuclear recep-
tors, including PPARs and SREBPs. SREBP-1c is a major
regulator of lipogenesis in mammals [18]. Here we mea-
sured the expression of SREBP-1 as there is no evidence
for the existence of alternatively spliced isoforms in sal-
mon, and primers corresponded to an identical region in
mammalian SREBP-1a and SREBP-1c [23]. Our results
agree with Minghetti et al. [23], who showed SREBP-1
was increased by cholesterol and decreased by EPA and
DHA supplementation in a salmon cell line, denoting a
similar nutritional regulation to mammals [18]. However,
there was a clear genetic effect as expression of SREBP-1
was 3-fold higher in Fat salmon fed VO, containing lower
EPA, DHA and cholesterol, than in fish fed FO, whereas
no regulation was observed in the Lean group.
PPARs have been less studied in fish than in mammals
but present evidence suggests PPARa and PPARb have
similar ligands and functions to their mammalian homo-
logues, while PPARg may present some functional differ-
ences [24,25]. LC-PUFA are well recognised enhancers of
PPARa activity in fish, and while the response of PPARb
to LC-PUFA might be variable between fish species, an
enhancement of activity in sea bass, plaice and sea bream
[24-26] and of expression in Atlantic salmon [27] has
been observed. In addition, and unlike rodents, PPARa
and PPARb have a similar pattern of expression in
response to fasting and feeding in sea bream liver,
indicating that they may be regulated similarly [25]. In
the present study, PPARa was down-regulated when VO
replaced FO but only in the Lean family group and,
although not statistically significant, PPARb showed a
similar trend, suggesting similar transcriptional regula-
tion of these nuclear receptors by dietary fatty acid com-
position. These results thus indicate that the genetic
background of the fish might affect PPAR transcriptional
responses to LC-PUFA. In contrast, no nutritional regu-
lation was observed for PPARg transcription in liver, in
accordance with previous studies in fish, including sal-
mon, and its predominant role in adipocytes [24,28].
The hypotriglyceridemic effects of n-3 LC-PUFA in
mammals involve activation of PPARa, leading to up-reg-
ulation of b-oxidation genes (including carnitine palmi-
toyltransferase I - CPT1 and acyl-CoA oxidase - ACO)
and suppression of SREBP-1c transcription that down-reg-
ulates lipogenic enzymes [29,30]. As previously reported,
FAS expression was up-regulated in both family groups
fed the VO diet but neither CPT1 nor ACO expression,
was affected [12]. As elovl2 expression was only altered in
the Lean fish and both Δ5 fad and Δ6 fad showed greater
up-regulation in Lean salmon fed VO, we may speculate
that PPARa (and potentially also PPARb) expression may
be involved in down-regulation of LC-PUFA biosynthesis.
Paradoxically, fatty acyl desaturases are regulated by both
SREBPs and PPARs in mammals [31]. In addition, PPARa
agonists regulate the transcriptional activity of elongases
in rat, although only elovl5 and not elovl2 [32]. However,
in mammals, PPARa ligands induce the transcription of
elongases and desaturases while we observed an up-regu-
lation of elovl2 and a stronger stimulation of Δ5 fad and
Δ6 fad transcription when PPARa expression was lower.
In the rat and human Δ6 fad gene promoters, both PUFA
and PPARa response regions have been identified which
suppress and induce, respectively, Δ6 fad expression [33].
The molecular mechanisms of transcriptional regulation
of these genes are complex and will require further investi-
gation in salmon [34]. In contrast, target genes of SREBP-1
remain elusive and, although it may regulate FAS expres-
sion [23], this was only observed in Fat fish whereas, in the
Lean group, another mechanism is required to explain up-
regulation of FAS in VO-fed fish as expression of SREBP-
1 was unaffected. Nonetheless, the action of SREBP-1 is
under the regulation of liver X receptor (LXR) and these
complex pathways have only recently started to be investi-
gated in fish [23].
Another gene affected by diet was squalene epoxidase
(SQLE), which was up-regulated by VO but only mark-
edly in the Lean family group. This enzyme catalyses the
first oxygenation step in sterol biosynthesis, a pathway
identified earlier as presenting a diet × genotype interac-
tion [12]. In contrast, cytochrome P450 reductase (CPR)
was down-regulated in salmon fed VO, particularly in
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 9 of 17
Page 10
Lean fish. This enzyme has multiple roles as the electron
donor for several oxygenase enzymes, such as cyto-
chrome P450 (involved in drug and xenobiotic metabo-
lism, and sterol and bile acid synthesis), HOX and
cytochrome b5 (which supports both sterol and LC-
PUFA biosynthesis pathways). In addition, it has key
roles in the biosynthesis of several signalling factors and
the regulation of oxidative response genes [reviewed by
[35]]. CPR is transcriptionally regulated by PPARa in
mouse and, given the comparable PPARa and CPR
expression in Lean salmon fed VO, similar regulation
likely occurs in salmon. However, changes in CPR
expression can be related to several processes that were
affected by FO replacement. Thus, CPR expression could
be linked to changes in both cholesterol and LC-PUFA
biosynthesis, both more marked in Lean fish, although
this is unlikely because VO induced up-regulation of
these pathways. A more likely association is with cell oxi-
dant metabolism, also suggested by the microarray
results as being possibly down-regulated in VO-fed fish.
In particular, down-regulation of HOX in salmon fed
VO, more marked for Lean fish correlating with CPR
expression, might be an indication of this.
Effect of diet on carbohydrate and intermediate
metabolism
Within the metabolism genes that were identified by the
microarray analysis as being significantly affected by diet-
ary oil substitution, a few relate to carbohydrate metabo-
lism, particularly glucose and intermediary metabolism.
Given that similar effects were observed in previous sal-
monid studies, and that a few signal transduction genes
present in the list of diet significant effects are also
potentially implicated in these pathways, these results
warrant further discussion, even if the observed fold
changes were low. An association between lipid and car-
bohydrate metabolism in salmon is not surprising given
that the pathways of lipogenesis, lipolysis, glycolysis, glu-
coneogenesis and pentose phosphate shunt are all inter-
related in the regulation of body energy homeostasis. In
mammals, the role of LC-PUFA as “fuel partitioners”
involves both directing fatty acids away from anabolic
and towards catabolic routes as well as enhancing glucose
flux to glycogen, mediated by effects on SREBP-1 and
transcription factors that regulate key genes of lipid
metabolism and glycolysis [30]. Similar mechanisms may
operate in fish but differences are likely given that carni-
vorous fish like salmon have low capacity to use carbohy-
drate and appear to show features of glucose intolerance
[36,37]. Nonetheless, dietary n-3/n-6 ratio has been
shown to influence mRNA levels of the glucose transpor-
ter GLUT4 in Atlantic salmon muscle, with some reflec-
tion in plasma glucose [38]. In addition to a decreased
hexokinase and phosphoenolpyruvate carboxykinase
expression, complete replacement of FM and FO by
vegetable alternatives in rainbow trout resulted in a
slightly increased expression of glycerol kinase, as
observed here [11]. This enzyme is at the intersection of
lipid-carbohydrate metabolism and over-expression of
this gene in human muscle and rat hepatoma cells
resulted in higher TAG synthesis and up-regulation of
the pentose phosphate pathway providing reducing
power for lipogenesis [39]. Panserat et al. [11] hypothe-
sised that the up-regulation of glycerol kinase may be
related to higher lipid biosynthesis in liver when trout
were fed plant-based diets. Similarly, our results, asso-
ciated with the observed changes in FAS mRNA when
VO replaced FO, suggest a possible relationship with
lipogenesis. Also possibly related with this was the up-
regulation of two different biotinidase clones with the
potential to increase availability of substrates for FAS
and/or gluconeogenesis in VO-fed fish. This gene,
besides being involved in the regulation of gene expres-
sion, including genes of glucose metabolism, codes for an
enzyme that recycles biotin, which is a co-factor for sev-
eral carboxylases responsible for production of substrates
for lipogenesis and gluconeogenesis [40].
Another gene affected by diet was alpha-enolase, which
was slightly down regulated in Lean fish fed VO. A similar
effect was observed in liver of salmon fed rapeseed oil in
comparison to FO [9]. This glycolytic enzyme participates
in the conversion of glucose to pyruvate, a key intermedi-
ate at the intersection of multiple metabolic pathways,
including lipogenesis. Thus, this might result in lower
levels of pyruvate for conversion to acetyl-CoA in VO-fed
fish. This result does not necessarily conflict with an
increase in lipogenesis given that, in fish, carbon skeletons
for de novo fatty acid production are mainly derived from
amino acid catabolism rather than from carbohydrates,
whose main contribution towards lipogenesis is to supply
NADPH via the pentose-phosphate pathway [37].
Finally, a few signalling genes that were significantly
affected by diet might also have an effect on glucose meta-
bolism, assuming that similar cascades exist in fish. One of
these is phosphoinositide 3-protein kinase (PI3K), which
mediates insulin’s effects on glucose, lipid and protein
metabolism, and that was significantly down regulated in
VO-fed fish. Among other roles, it regulates glucose cellu-
lar uptake in mammals, recruiting GLUT4 transporters to
the cell surface [41]. In addition, it is found upstream of a
signal transduction cascade regulating glycogen synthesis
through glycogen synthase, by inactivating glycogen
synthase kinase-3 (GSK3) [41,42]. In our study, expression
of GSK3-binding protein (GBP) was significantly increased
in VO-fed Lean fish. GBP is a protein that blocks GSK3,
which in turn inactivates glycogen synthase [43]. Hence, it
is possible that the oil composition of the diet might also
affect glucose metabolism and glycogen storage.
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 10 of 17
Page 11
Effect of diet on oxidative stress and immune response
Increased oxidative stress associated with the consumption
of FO has been typically reported in fish and mammals
[27,44,45]. Accordingly, genes related to oxidant metabo-
lism were found in the significant list for diet. A thiore-
doxin domain-containing
antioxidant role [46], and GST, which detoxifies peroxi-
dised lipids and xenobiotics [47], were down-regulated in
salmon fed VO, consistent with the higher auto-oxidative
potential of LC-PUFA in FO. However, quantification of
GST by RT-qPCR was not consistent with the microarray
result, although the possibility exists that different GST
genes with differential regulation exist in salmon and this
requires clarification. In addition, the observed down-regu-
lation of HOX in VO-fed fish, validated by RT-qPCR,
might be related to a decrease in oxidative stress in these
fish. This enzyme catalyses the degradation of heme and
can be induced by oxidative stress [48] and may be
increased during pro-inflammatory states, being thought to
increase resistance to oxidative injury and ameliorate
inflammation [49]. The n-3 LC-PUFA in FO have impor-
tant anti-inflammatory actions in mammals [50], which
does not correlate with the expression of HOX and its
putative role in inflammation in this case. Inflammation is
an important mechanism in immune defence but, in fish,
the demonstrated effects of LC-PUFA on immune and
inflammatory mechanisms have been inconsistent [45].
However, a recent study has clearly shown an effect of diet-
ary oil composition on the progression of a myxosporean
parasite infection in Gilthead sea bream, with fish fed the
VO diet showing higher signs of the disease and faster
course of infection in comparison with those on a FO diet
[51]. On the other hand, the synthesis of pro-inflammatory
eicosanoids was increased in the intestine of salmon fed
vegetable-based diets in response to acute stress [52]. In the
present study immune response was the second highest
category of genes affected by diet, after metabolism.
Whether this is due to the potential anti-inflammatory role
of dietary FO or whether VO diets can have detrimental
health effects is not clear as the fold-changes were subtle,
as expected in unchallenged animals. Nonetheless, the
majority of genes related to processes of both innate and
adaptive immunity were up-regulated in fish fed VO. Only
T-cell and leukotriene B4(LTB4) receptors, that are
reduced after antigen and LTB4exposure, respectively, and,
in the case of LTB4receptor, increased after EPA adminis-
tration [53-55], were down-regulated in salmon fed VO.
protein, possessingan
Differences in gene expression between Lean and Fat
genotypes
Muscle adiposity is a trait of great importance in animal
production, aquaculture included, and hence physiologi-
cal changes induced by genetic selection for this pheno-
type have been examined in various animals, including
rainbow trout [7,8]. In the present study the main differ-
ences between family groups were associated with signal
transduction pathways, followed by metabolism. Only a
small number of lipid metabolism genes varied in rela-
tion to muscle adiposity, as reported previously in rain-
bow trout, where the main differences were related to
lipogenesis and mitochondrial oxidative metabolism
[7,8]. In our study glycerophospholipid metabolism may
have been down-regulated in the Lean family group
through AGPAT and LPP2, two enzymes acting conse-
cutively on de novo TAG and phospholipid biosynthesis
[56,57]. Quantification of AGPAT and LPP2 expression
by RT-qPCR confirmed this down-regulation but fold-
changes were too subtle to be significant. AGPAT con-
verts lysophosphatidic acid into phosphatidic acid (PA),
while LPP2 then catalyzes the conversion of PA to dia-
cylglycerol. All these molecules can function as second
messengers and are involved in the regulation of multi-
ple signalling pathways. Therefore, down-regulation of
this pathway in the Lean group has the potential to
lower lipid biosynthesis, at least partly explaining the
flesh lipid phenotype, but may also alter levels of lipid
signalling molecules. On the other hand, differences in
muscle adiposity might also be caused by higher hepatic
“de novo” fatty acid synthesis in the Fat family group, as
indicated by the expression of FAS. In a previous study,
no differences were found in the expression of ACO
and CPT1, which suggested that the phenotypes could
not be explained by differences in b-oxidation [12]. By
contrast, in rainbow trout Fat and Lean families, b-oxi-
dation and mitochondrial oxidative metabolism, but not
lipogenesis, were affected by genetic selection [7],
although another study using the same trout lines sug-
gested differences related to lipogenesis rather than fatty
acid oxidation [8]. Thus, both metabolic processes are
likely involved and discrepancies in the data are likely
due to lack of methodological sensitivity to detect the
small fold-changes that are possibly characteristic of
these biological processes and typical in this type of
experiment.
PPARa, PPARb and SREBP-1 were also regulated in
response to genotype, being down-regulated in Lean fish,
but only when fed the VO diet. In cobia, Rachycentron
canadum, a negative correlation was found between
PPARa mRNA levels in liver and body lipid deposition
[58]. Furthermore, PPARb appears to play a similar role
in fish to that in mammals, as a ubiquitous regulator of
fat burning and with a role in energy mobilisation during
early development [24,25]. Therefore, both PPARa and
PPARb might have a role in the control of adipogenesis
in fish and it may be the case that, similarly to chickens
[59], Fat salmon might have higher lipid turnover than
their Lean counterparts when fed a diet that predisposes
for hepatic fat deposition, even though the end result is
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 11 of 17
Page 12
higher lipid accumulation in liver [60]. To explain this,
Collin et al. [59] suggested that a fat chicken family is
better “equipped” to deal with higher circulating levels of
TAG when fed a high fat diet, compared to lean chicken.
On the other hand, we observed a direct relationship
between SREBP-1 and FAS expression in the Fat family
group in response to diet, as well as in VO-fed fish in
response to genotype. It thus appears that SREBP-1 may
be partly responsible for higher lipogenesis in Fat fish,
compared to Lean, when fed VO.
Conclusions
This study has enabled the identification of metabolic
pathways and key regulators that may respond differently
to more sustainable diets, in which FO is replaced by VO,
depending on genotype, thus confirming the potential of
microarrays as hypothesis-generating tools, even in these
nutritional studies where changes in gene expression are
quite subtle. Collectively, and in conjunction with previous
studies, the data indicate that dietary lipid composition
may potentially affect glucose, glycogen storage and inter-
mediary metabolism, in addition to lipogenesis, supporting
a role for LC-PUFA in “fuel partitioning” in fish as well as
in mammals. Therefore, more integrative studies investi-
gating the effects of dietary VO on energy homeostasis are
required. However, important genotype-related differences
may also exist in the regulation of metabolism. In terms of
lipid metabolism, expression of LC-PUFA and lipid bio-
synthesis genes, as well as of key regulator transcriptional
factors, was differentially affected by diet depending on the
genetic background of the fish. Although further studies
are required, the present data indicate that it will be possi-
ble to identify families better adapted to alternative diet
formulations that might be appropriate for future genetic
selection programmes.
Methods
Feeding trial and sampling
A dietary trial was conducted using two genetically char-
acterised and contrasting groups of farmed Atlantic sal-
mon post-smolts, comprising full-sib families selected
from the Landcatch Natural Selection Ltd (LNS) breed-
ing program (Argyll, Scotland). The choice of the two
family groups was based on estimated breeding values
(EBVs) of the parents for high or low flesh adiposity,
assessed by Torry Fatmeter (Distell Industries, West
Lothian, UK), a trait that was found to have a heritability
ranging from 0.17 to 0.39 in this dataset. The two groups
were created from four unrelated full-sib families; two
families from the extreme lower end of the EBV distribu-
tion for flesh lipid content (’Lean’) and two families from
the extreme upper end of the distribution (’Fat’). The
average EBV for the lipid content of the two Fat families
was 2.00 percentage units higher than that of the two
selected Lean families, representing a standardised selec-
tion differential of 2.33 standard deviations. Assessment
of the flesh and viscera lipid content at the end of the
feeding trial confirmed differences in adiposity between
the two genotypes, in spite of an interaction with diet
being also found [12].
Two thousand fish of each group were stocked into
eight 12 × 5 m3net pens at the Ardnish Fish Trials Unit
(Marine Harvest Scotland, Lochailort, Highland; 500 fish
pen-1). Duplicate pens from each group of fish were fed
one of two experimental diets (Skretting ARC, Stavanger,
Norway) containing 32-25% fish meal, 40-45% plant
meals and 27.5-30% oil supplied either as northern fish
oil (FO) or as a vegetable oil (VO) blend comprising
rapeseed, palm and Camelina oils in a ratio of 5:3:2 [12].
Diets were formulated to fully satisfy the nutritional
requirements of salmonid fish [61] and contained similar
levels of PUFA (around 31%) but different n-3 and n-6
PUFA contents, 25.3% and 4.6% in the FO diet and 13.4%
and 17.1% in the VO diet, respectively. Further details
including full diet formulations, proximate and fatty acid
compositions of the feeds can be found in Bell et al. [60].
After 55 weeks on the experimental diets 25 fish were
sampled per pen. The fish were killed by a blow to the
head following anaesthesia using MS222, 24 h after the
last meal. Samples of liver were immediately frozen on
dry ice and stored at -70°C for molecular and fatty acid
analyses.
RNA extraction and purification
Liver tissue (0.2 g) from six individuals per experimental
group was rapidly homogenised in 2 mL of TRI Reagent
(Ambion, Applied Biosystems, Warrington, U.K.) using an
Ultra-Turrax tissue disrupter (Fisher Scientific, Loughbor-
ough, U.K.) and stored at -70°C. Total RNA was later iso-
lated, following manufacturer’s instructions, and RNA
quality (integrity and purity) and quantity was assessed by
gel electrophoresis and spectrophotometry (NanoDrop
ND-1000, Thermo Scientific, Wilmington, U.S.A.). One
hundred micrograms of total RNA from each individual
sample was further cleaned by mini spin-column purifica-
tion (RNeasy Mini Kit, Qiagen, Crawley, UK), and then re-
quantified and quality assessed as above.
Microarray hybridizations and image analysis
The TRAITS/SGP (v.2.1) salmon 17 k cDNA microar-
ray, described in detail by Taggart et al. [10], was used
in this experiment (ArrayExpress accession: A-MEXP-
1930). A dual-label experimental design was employed
for the microarray hybridisations. Each experimental
sample was competitively hybridised against a common
pooled-reference sample, which comprised equal
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 12 of 17
Page 13
amounts of all samples used in the study. This design
permits valid statistical comparisons across all treat-
ments to be made. The entire experiment comprised 24
hybridisations - 2 genotypes (Lean/Fat) × 2 diets (FO/
VO) × 6 biological replicates.
An indirect labelling methodology was employed in
preparing the microarray targets. Antisense amplified
RNA (aRNA) was produced from 500 ng of purified total
RNA per sample using the Amino Allyl MessageAmpTM
II aRNA Amplification Kit (Ambion, Applied Biosys-
tems), as per manufacturer’s instructions, followed
by Cy3 or Cy5 fluor incorporation mediated by a dye-
coupling reaction, as previously described in detail [12].
Experimental samples and the pooled reference sample
(batch reaction) were labelled with Cy3 and Cy5 dye sus-
pension stocks (PA23001 or PA25001, GE HealthCare,
Little Chalfont, UK), respectively. Unincorporated dye
was removed by column purification (Illustra AutoSeq
G-50 spin columns; GE Healthcare). Dye incorporation
and aRNA yield were quantified by spectrophotometry
(NanoDrop ND-1000) and further quality controlled by
separating 0.4 μL of the sample through a thin mini-agar-
ose gel and visualising products on a fluorescence scan-
ner (Typhoon Trio, GE Healthcare).
Microarray hybridisations were performed in a Lucidea
semi-automated system (GE Healthcare), without a pre-
hybridisation step. For hybridisation of each array, each
labelled biological replicate and corresponding pooled
reference (40 pmol each dye, c. 150 ng aRNA) were com-
bined and added to the hybridisation solution, compris-
ing 185 μL 0.7X UltraHyb buffer (Ambion), 20 μL poly
(A) at l0 mg/mL (Sigma-Aldrich, Dorset, UK), 10 μL her-
ring sperm at c. 10 mg/mL (Sigma-Aldrich) and 10 μL
ultra pure BSA at 10 mg/mL (Sigma-Aldrich), as detailed
previously [12]. Two post-hybridisation automatic washes
followed by six manual washes to a final stringency of
0.1× SSC (EasyDipTM Slide staining system; Canemco
Inc., Quebec, Canada) were performed before scanning.
Scanning was performed at 10 μm resolution using an
Axon GenePix 4200AL Scanner (MDS Analytical Technol-
ogies, Wokingham, Berkshire, U.K.) with laser power con-
stant (80%) and “auto PMT” enabled to adjust PMT for
each channel such that less than 0.1% of features were
saturated and that the mean intensity ratio of the Cy3 and
Cy5 signals was close to one. BlueFuse software (Blue-
Gnome, Cambridge, U.K.) was then used to identify fea-
tures and extract fluorescence intensity values from the
resultant TIF images. Following a manual spot removal
procedure and fusion of duplicate spot data (BlueFuse pro-
prietary algorithm), the resulting fluorescence intensity
data and quality annotations for the 17,102 gene features,
were exported into the GeneSpring GX version 10.0.2 ana-
lysis platform (Agilent Technologies, Wokingham, Berk-
shire, U.K.) after undergoing a block Lowess normalisation.
Data transformation and quality filtering were then per-
formed and all control features were excluded from subse-
quent analyses [12]. This returned a list of 14,772 genes
eligible for statistical analysis. Experimental annotation
complied fully with minimum information about a micro-
array experiment (MIAME) guidelines [62]. The experi-
mental hybridisations and further methodological details
are archived on the EBI ArrayExpress database (http://
www.ebi.ac.uk/arrayexpress/) under accession number
E-TABM-1089.
RT-qPCR
Expression of selected genes was determined by reverse
transcription quantitative real time PCR (RT-qPCR).
Details on the target qPCR primer sequences are given in
Table 5. In addition, amplification of three potential refer-
ence genes - cofilin-2, elongation factor-1a (elf-1a) and b-
actin - was performed. However, only cofilin-2 expression
proved to be sufficiently stable across treatments for nor-
malisation of the results. Cofilin-2 had been established in
a previous salmon cDNA microarray study as a suitable
reference gene on the basis of constant expression
between FO and VO based feeds over a wide range of
time points (’unidentified liver EST’, [10]).
For RT-qPCR, 1 μg of column-purified total RNA per
sample was reverse transcribed into cDNA using the
VersoTM cDNA kit (ABgene, Surrey, U.K.), following
manufacturer’s instructions, using a mixture of random
hexamers (400 ng/μL) and anchored oligo-dT (500 ng/
μL) at 3:1 (v/v). Negative controls (containing no
enzyme) were performed to check for genomic DNA
contamination. A similar amount of cDNA was pooled
from all samples and the remaining cDNA was then
diluted 20-fold with water. RT-qPCR analysis used rela-
tive quantification with the amplification efficiency of
the primer pairs being assessed by serial dilutions of the
cDNA pool. qPCR amplifications were carried out in
duplicate (Quantica, Techne, Cambridge, U.K.) in a final
volume of 20 μL containing either 5 μL or 2 μL (for the
reference genes and HOX) diluted (1/20) cDNA, 0.5 μM
of each primer and 10 μL AbsoluteTM QPCR SYBR®
Green mix (ABgene). Amplifications were carried out
with a systematic negative control (NTC-non template
control). The qPCR profiles contained an initial activa-
tion step at 95°C for 15 min, followed by 30 to 40 cycles
(depending on target): 15 s at 95°C, 15 s at the specific
primer pair annealing temperature (Ta; Table 5) and 15
s at 72°C. After the amplification phase, a melt curve of
0.5°C increments from 75°C to 90°C was performed,
enabling confirmation of the amplification of a single
product in each reaction. RT-qPCR product sizes were
checked by agarose gel electrophoresis and the identity
of amplicons of newly designed primers (FAS, GFPT1,
HOX, LPP2 and AGPAT) was confirmed by sequencing.
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 13 of 17
Page 14
Lipid extraction and fatty acid analyses
Total lipids from six fish per treatment were extracted and
determined gravimetrically from 1-2 g of liver by Ultra
Turrax homogenisation in 20 volumes of chloroform/
methanol (2:1 v/v) [63]. Fatty acid methyl esters (FAME)
were prepared by acid-catalysed transesterification of total
lipids [64]. Following purification, FAME were separated
and quantified by gas-liquid chromatography using a
Thermo Fisher Trace GC 2000 (Thermo Fisher, Hemel
Hempstead, UK) equipped with a fused silica capillary
column (ZB wax, 30 m×0.32 mmi.d.; Phenomenex,
Macclesfield, UK) with hydrogen as carrier gas and using
Table 5 Primers used for RT-qPCR analyses
Transcript Primer sequence (5’-3’) FragmentTa EfficiencyAccession No.
AF4784721
Source
Δ5fadGTGAATGGGGATCCATAGCA
AAACGAACGGACAACCAGA
CCCCAGACGTTTGTGTCAG
CCTGGATTGTTGCTTTGGAT
ACAAGACAGGAATCTCTTTCAGATTAA
TCTGGGGTTACTGTGCTATAGTGTAC
ACAAAAAGCCATGTTTATCTGAAAGA
CACAGCCCCAGAGACCCACTT
CGGGTACAAAATGTGCTGGT
TCTGTTTGCCGATAGCCATT
GTGCCCACTGAATACCATCC
ATGAACCATTAGGCGGACAG
TCCTGGTGGCCTACGGATC
CGTTGAATTTCATGGCGAACT
GAGACGGTCAGGGAGCTCAC
CCAGCAACCCGTCCTTGTT
CATTGTCAGCCTGTCCAGAC
TTGCAGCCCTCACAGACATG
GCCATGCGCAGGTTGTTTCTTCA
TCTGGCCAGGACGCATCTCACACT
ATTTTGGGACGGGCTGACA
CCTGGTGCTCTGCTCCAGTT
GTCAACGCATCACCCTTCTT
ATGGGGTCCTTCATCCTCTT
GTGGTTTGGCAGACCTCCTA
TGTACGGTGCCATCTTTCAA
AGCCTTCGATGCTGTCGGCCA
AGGAGCACAGGCAGGGTGGTT
CCGGTGCTGCTGGAGGAAGC
CGACATGCAGGTCATCGGT
TCCGGAAGAACTCGCAATAC
ACATCACGTCCACCAAGACA
GAGAGCCAGAGGTTGAGGTG
CAGAGTGAAGGCGATGTGAA
192 bp56°C 0.995
[66]
Δ6fad_a 181 bp56°C0.944AY4586521
[66]
elovl5a 137 bp60°C 0.925 AY1703271
[15]
elovl5b141 bp60°C0.940DW5461121
[15]
elovl2 145 bp 60°C0.960 TC911922
[15]
FAS 212 bp60°C0.995CK8769431
New design
PPARa
111 bp60°C0.986 DQ2942371
[67]
PPARb
151 bp60°C 0.992 AJ4169531
[67]
PPARg
144 bp 60°C0.999AJ4169511
[67]
SREBP-1 151 bp 63°C0.942 TC1484242
[20]
GST81 bp60°C0.989GE6195581
[68]
HOX 206 bp60°C0.997BT0469871
New design
GFPT1 177 bp60°C0.999NM_0011402661
New design
ApoB 153 bp60°C1.000 TC793642
[12]
EL 378 bp60°C0.962NM_0011405351
[12]
LPP2 174 bp60°C0.949NM_0011407161
New design
AGPAT 245 bp60°C0.941NM_0011417531
New design
Reference genes:
elf-1a
CTGCCCCTCCAGGACGTTTACAA
CACCGGGCATAGCCGATTCC
ACATCAAGGAGAAGCTGTGC
GACAACGGAACCTCTCGTTA
AGCCTATGACCAACCCACTG
TGTTCACAGCTCGTTTACCG
175 bp60°C0.986AF3218361
[15]
b-actin141 bp56°C0.968AF0121251
[15]
Cofilin-2 224 bp60°C0.999TC638992
[15]
1GenBank (http://www.ncbi.nlm.nih.gov/)
2Atlantic salmon Gene Index (http://compbio.dfci.harvard.edu/tgi/)
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 14 of 17
Page 15
on-column injection. The temperature gradient was from
50 to 150°C at 40°C/min and then to 195°C at 1.5°C/min
and finally to 220°C at 2°C/min. Individual methyl esters
were identified by comparison with known standards.
Data were collected and processed using the Chromcard
for Windows (version 2.00) computer package (Thermo-
quest Italia S.p.A., Milan, Italy).
Statistical analysis
Microarray hybridisation data were analysed in Gene-
Spring GX version 10.0.2 (Agilent Technologies) by two-
way ANOVA, which examined the explanatory power of
the variables ‘diet’ and ‘genotype’ (diet×genotype interac-
tion presented in [12]), followed by Gene Ontology (GO)
enrichment analysis, at a significance level of 0.05. No
multiple test correction was employed as previous ana-
lyses, confirmed by RT-qPCR, indicate that such correc-
tions are over-conservative for this type of data [14]. Gene
expression results assessed by RT-qPCR were analysed by
the ΔΔCt method using the relative expression software
tool (REST 2008, http://www.gene-quantification.info/),
employing a pair wise fixed reallocation randomisation
test (10,000 randomisations) with efficiency correction
[65], to determine the statistical significance of expression
ratios between two treatments. Finally, significant differ-
ences in liver fatty acid composition were determined by
means of two-way ANOVA, at a significance level of p <
0.05, using the Graphpad Prism™ (version 4.0) statistical
package (Graphpad Software, San Diego, CA).
Acknowledgements
This study was funded by the EU FP6 IP “AQUAMAX” (Sustainable Aquafeeds
to Maximise the Health Benefits of Farmed Fish for Consumers; 016249-2).
SM was supported by a Marie Curie Intra European Fellowship (FP7-PEOPLE-
2007-2-1-IEF, Proposal N°219667) and JP by a Royal Thai Government
Scholarship. The authors would like to acknowledge Landcatch Ltd for
provision of the Lean and Fat smolts and to thank the staff of Marine
Harvest Ltd, Ardnish FTU, for their assistance with fish husbandry and
sample collection. Technical assistance from Jacquie Ireland in microarray
hybridizations is deeply appreciated.
Author details
1Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK.
2Landcatch Natural Selection Ltd, The e-Centre, Cooperage Way, Alloa, FK10
3LP, UK.
Authors’ contributions
SM and JP performed laboratory analyses and data analysis; DRG was
responsible for family selection; JBT and JEB supported the microarray
analysis; SM wrote the first draft of the manuscript, followed by
contributions from remaining authors; SM, JGB and DRT planned and
coordinated the research; DRG, JGB and DRT were project leaders. All
authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Received: 22 March 2011 Accepted: 20 May 2011
Published: 20 May 2011
References
1.Calder PC, Yaqoob P: Omega-3 polyunsaturated fatty acids and human
health outcomes. BioFactors 2009, 35:266-272.
2.FAO: The State of World Fisheries and Aquaculture 2008 Rome: Food and
Agriculture Organization of the United Nations; 2009.
3.Tacon AGJ, Metian M: Global overview on the use of fish meal and fish
oil in industrially compounded aquafeeds: Trends and future prospects.
Aquaculture 2008, 285:146-158.
4.Rosenlund G, Corraze G, Izquierdo M, Torstensen BE: The effects of fish oil
replacement on nutritional and organoleptic qualities of farmed fish. In
Fish Oil Replacement and Alternative Lipid Sources in Aquaculture Feeds.
Edited by: Turchini GM, Ng WK, Tocher DR. Boca Raton: CRC Press;
2010:487-522.
5.Gjedrem T, Baranski M: In Selective Breeding in Aquaculture: an Introduction.
Volume 10. London: Springer Science + Business Media B.V; 2009, Series:
Reviews: Methods and Technologies in Fish Biology and Fisheries.
6.Leaver MJ, Taggart JB, Villeneuve L, Bron JE, Guy DR, Bishop SC,
Houston RD, Matika O, Tocher DR: Heritability and mechanisms of n-3
long chain polyunsaturated fatty acid deposition in the flesh of Atlantic
salmon. Comp Biochem Physiol Part D Genomics Proteomics 2011, 6:62-69.
7.Kolditz CI, Paboeuf G, Borthaire M, Esquerré D, SanCristobal M, Lefèvre F,
Médale F: Changes induced by dietary energy intake and divergent
selection for muscle fat content in rainbow trout (Oncorhynchus mykiss),
assessed by transcriptome and proteome analysis of the liver. BMC
Genomics 2008, 9:506.
8. Kolditz C, Borthaire M, Richard N, Corraze G, Panserat S, Vachot C, Lefèvre F,
Médale F: Liver and muscle metabolic changes induced by dietary
energy content and genetic selection in rainbow trout (Oncorhynchus
mykiss). Am J Physiol Regul Integr Comp Physiol 2008, 294:R1154-1164.
9.Jordal AE, Torstensen BE, Tsoi S, Tocher DR, Lall SP, Douglas SE: Dietary
rapeseed oil affects the expression of genes involved in hepatic lipid
metabolism in Atlantic salmon (Salmo salar L.). J Nutr 2005,
135:2355-2361.
10.Taggart JB, Bron JE, Martin SAM, Seear PJ, Høyheim B, Talbot R,
Carmichael SN, Villeneuve LAN, Sweeney GE, Houlihan DF, Secombes CJ,
Tocher DR, Teale AJ: A description of the origins, designs and
performance of the TRAITS-SGP Atlantic salmon Salmo salar L. cDNA
microarray. J Fish Biol 2008, 72:2071-2094.
11.Panserat S, Hortopan GA, Plagnes-Juan E, Kolditz C, Lansard M, Skiba-
Cassy S, Esquerre D, Geurden I, Médale F, Kaushik S, Corraze G: Differential
gene expression after total replacement of dietary fish meal and fish oil
by plant products in rainbow trout (Oncorhynchus mykiss) liver.
Aquaculture 2009, 294:123-131.
12. Morais S, Pratoomyot J, Torstensen BE, Taggart JB, Guy DR, Bell JG,
Tocher DR: Diet × genotype interactions in hepatic cholesterol and
lipoprotein metabolism in Atlantic salmon (Salmo salar) in response to
replacement of dietary fish oil with vegetable oil. Br J Nutr .
13.Allendorf FW, Thorgaard GH: Tetraploidy and the evolution of salmonid
fishes. In Evolutionary Genetics of Fishes. Edited by: Turner BJ. New York:
Plenum Press; 1984:55-93.
14.Leaver MJ, Villeneuve LA, Obach A, Jensen L, Bron JE, Tocher DR,
Taggart JB: Functional genomics reveals increases in cholesterol
biosynthetic genes and highly unsaturated fatty acid biosynthesis after
dietary substitution of fish oil with vegetable oils in Atlantic salmon
(Salmo salar). BMC Genomics 2008, 9:299.
15.Morais S, Monroig O, Zheng X, Leaver MJ, Tocher DR: Highly unsaturated
fatty acid synthesis in Atlantic salmon: characterization of ELOVL5- and
ELOVL2-like elongases. Mar Biotechnol 2009, 1:627-639.
16. Zheng X, Tocher DR, Dickson CA, Bell JG, Teale AJ: Effects of diets
containing vegetable oil on expression of genes involved in highly
unsaturated fatty acid biosynthesis in liver of Atlantic salmon (Salmo
salar). Aquaculture 2004, 236:467-483.
17.Zheng X, Torstensen BE, Tocher DR, Dick JR, Henderson RJ, Bell JG:
Environmental and dietary influences on highly unsaturated fatty acid
biosynthesis and expression of fatty acyl desaturase and elongase genes
in liver of Atlantic salmon (Salmo salar). Biochim Biophys Acta 2005,
1734:13-24.
18.Davidson MH: Mechanisms for the hypotriglyceridemic effect of marine
omega-3 fatty acids. Am J Cardiol 2006, 98:27i-33i.
Morais et al. BMC Genomics 2011, 12:255
http://www.biomedcentral.com/1471-2164/12/255
Page 15 of 17