scieee Science in your language
[en] (orig)

Genetics of microenvironmental sensitivity of body weight in rainbow trout (Oncorhynchus mykiss) selected for improved growth

Read accessible full text

Genetics of microenvironmental sensitivity of body weight in rainbow trout (Oncorhynchus mykiss) selected for improved growth

Author: Janhunen, Matti,Kause, Antti,Vehviläinen, Harri,Järvisalo, Otso
Publisher: Public Library of Science,us,San Francisco, CA
Year: 2013
Source: https://jukuri.luke.fi/bitstream/10024/479673/1/Janhunen.pdf
Gene ics o Mic oen i onmen al Sensi i i y o Body
Weigh in Rainbow T ou (
Onco hynchus mykiss
)
Selec ed o Imp o ed G ow h
Ma i Janhunen
1
*, An i Kause
1
, Ha i Veh ila
¨inen
1
, O so Ja
¨ isalo
2
1MTT Ag i ood Resea ch Finland, Biome ical Gene ics, Jokioinen, Finland, 2Finnish Game and Fishe ies Resea ch Ins i u e, Laukaa, Finland
Abs ac
Mic oen i onmen al sensi i i y o a geno ype e e s o he abili y o bu e agains non-speci ic en i onmen al ac o s, and i
can be quan i ied by he amoun o esidual a ia ion in a ai exp essed by he geno ype’s o sp ing wi hin a
(mac o)en i onmen . Due o he high deg ee o polymo phism in beha io al, g ow h and li e-his o y ai s, bo h a med and
wild salmonids a e highly suscep ible o mic oen i onmen al a ia ion, ye he he i able basis o his cha ac e is ic emains
unknown. We es ima ed he gene ic (co) a iance o body weigh and i s esidual a ia ion in 2-yea -old ainbow ou
(Onco hynchus mykiss) using a mul igene a ional da a o 45,900 indi iduals om he Finnish na ional b eeding p og amme.
We also es ed whe he o no mic oen i onmen al sensi i i y has been changed as a co ela ed gene ic esponse when
gene ic imp o emen o g ow h has been p ac iced o e i e gene a ions. The animal model analysis e ealed he p esence
o gene ic he e ogenei y bo h in body weigh and i s esidual a ia ion. He i abili y o esidual a ia ion was ema kably
lowe (0.02) han ha o body weigh (0.35). Howe e , gene ic coe icien o a ia ion was no able in bo h body weigh
(14%) and i s esidual a ia ion (37%), sugges ing a subs an ial po en ial o selec ion esponses in bo h ai s. Fu he mo e,
a signi ican nega i e gene ic co ela ion (20.16) was ound be ween body weigh and i s esidual a ia ion, i.e., apidly
g owing geno ypes a e also mo e ole an o pe u ba ions in mic oen i onmen . The gene ic ends showed ha ish
g ow h was success ully inc eased by selec i e b eeding (an a e age o 6% pe gene a ion), whe eas no gene ic change
occu ed in esidual a ia ion du ing he same pe iod. The esul s imply ha gene ic imp o emen o body weigh does no
cause a concomi an inc ease in mic oen i onmen al sensi i i y. Fo comme cial p oduc ion, howe e , he e may be high
po en ial o simul aneously imp o e weigh gain and inc ease i s uni o mi y i bo h c i e ia a e included in a selec ion index.
Ci a ion: Janhunen M, Kause A, Veh ila
¨inen H, Ja
¨ isalo O (2012) Gene ics o Mic oen i onmen al Sensi i i y o Body Weigh in Rainbow T ou (Onco hynchus
mykiss) Selec ed o Imp o ed G ow h. PLoS ONE 7(6): e38766. doi:10.1371/jou nal.pone.0038766
Edi o : S ephen Moo e, Uni e si y o Queensland, Aus alia
Recei ed Feb ua y 21, 2012; Accep ed May 14, 2012; Published June 11, 2012
Copy igh : ß2012 Janhunen e al. This is an open-access a icle dis ibu ed unde he e ms o he C ea i e Commons A ibu ion License, which pe mi s
un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided he o iginal au ho and sou ce a e c edi ed.
Funding: MTT Ag i ood Resea ch Finland (u l: www.m . i). The unde s had no ole in s udy design, da a collec ion and analysis, decision o publish, o
p epa a ion o he manusc ip .
Compe ing In e es s: The au ho s ha e decla ed ha no compe ing in e es s exis .
* E-mail: [email p o ec ed]
In oduc ion
Ea ly phases o selec i e b eeding can gene a e apid gene ic
esponses in a med animals. This ypically in ol es gene ic
imp o emen o mean pe o mance in he di ec ion o selec ion.
I is well es ablished ha many concu en imp o emen s in
animal husband y, including nu i ion, housing and e e ina y
p ac ices, accompany he gene ic enhancemen in animal pe o -
mance. Addi ionally, ai he e ogenei y can e ol e o e ime, o
example ia inc eased o educed suscep ibili y o indi iduals o
a iable and unmeasu ed mic oen i onmen al ac o s. Unde -
s anding he gene ic basis o such concu en changes in
quan i a i e ai s e eals how selec ion in luences he abili y o
indi iduals o espond o unp edic ably luc ua ing en i onmen al
condi ions ia de elopmen al mechanisms, and helps us o explain
he pe sis ence o pheno ypic a iabili y wi hin popula ions.
Mic oen i onmen al sensi i i y e e s o an indi idual’s abili y
o be bu e ed agains local non-speci ic en i onmen al ac o s
(e.g., luc ua ing wea he , ligh condi ions and ood supply, and
compe i i e social in e ac ions) and sub le de elopmen al noise,
and i is conside ed synonymous o de elopmen al ins abili y [1–
3]. Mic oen i onmen al sensi i i y o a geno ype can be
quan i ied by he amoun o esidual a ia ion in a ai
exp essed by he geno ype’s o sp ing wi hin a (mac o-)en i on-
men he o sp ing sha e. In mode n quan i a i e gene ic analysis,
esidual a iance can be bes es ima ed using an animal model
which pa i ions a pheno ype o an indi idual in o i s addi i e
gene ic and esidual componen s, he la e being he pa le
unexplained by gene ics and sys ema ic ixed e ec s such as
gende , age and managemen ea men s [4,5]. In a m animal
husband y, inc eased esidual and hus pheno ypic a ia ion is
disad an ageous because i hampe s he e iciency o p oduc ion
h oughou he supply chain om p oduce s o consume s [6,7].
Mo eo e , la ge size a ia ion in ea ing g oups p omo es he
o ma ion o beha io al dominance hie a chies which educe
animal wel a e and ele a e mo ali y [8–10]. This can be pa ly
a oided by ac i e size so ing and g ouping o animals.
Cu en ly, he e is inc easing in e es o in es iga e o wha
ex en esidual a ia ion can be gene ically educed by animal
b eeding p og ammes.
Pe manen changes in mic oen i onmen al sensi i i y a e
possible only when he e is addi i e gene ic a ia ion o esidual
a ia ion. In o he wo ds, di e en geno ypes should p oduce
PLoS ONE | www.plosone.o g 1 June 2012 | Volume 7 | Issue 6 | e38766
di e en ly a iable p ogenies. The ecen e idence om bo h wild
and a med animals imply ha geno ypes indeed di e in hei
amoun o esidual a ia ion o ai s [11]. E en hough he i abili y
o esidual a ia ion is gene ally low, i can be exploi ed o inc ease
uni o mi y by di ec selec ion [12–16]. Fu he , i has been
sugges ed ha in ense di ec ional selec ion o a ai (mean) alue
can lead o inc eased esidual (and hus pheno ypic) a ia ion
because he ex eme indi iduals wi h a highe selec ion p obabili y
a e also he geno ypes passing down high a iabili y [14,17,18].
This would be wo isome because selec ion would make indi id-
uals mo e sensi i e o hei en i onmen . The coun e hypo hesis is
ha du ing adap a ion o an en i onmen , ei he in he wild o in
human-con olled condi ions o a med species, mic oen i on-
men al sensi i i y is dec eased due o he adap ion o a ocal
en i onmen [19,20].
P e ious wo k has concen a ed on e es ial e eb a es and
labo a o y model species, which g ea ly di e om aqua ic species,
and om salmonids in pa icula . Salmonids ha e a mul i ude o
cha ac e is ics ha make he gene ic analysis o mic oen i on-
men al sensi i i y in g ow h impo an . In aquacul u e p oduc ion,
new popula ions and species a e cons an ly in oduced in in ensi e
cap i e b eeding, p o iding an oppo uni y o in es iga e he
gene ic e ec s o a i icial selec ion (o domes ica ion p ocess [21])
on bo h he ai mean alue and i s unde lying a ia ion.
Fu he mo e, salmonids exhibi an ex ao dina y polymo phism
and di e si y in mo phological, beha io al and li e-his o y ai s,
including al e na i e g ow h, mig a ion and ep oduc ion s a e-
gies exp essed ac oss and wi hin single popula ions [22–25]. Some
o hese esponses a e adap i e esponses o he highly s ochas ic
na u al condi ions. Salmonids also display s ong dominance
hie a chies, especially wi hin a med popula ions, in which ew
indi iduals can de end ood esou ces, inc easing pheno ypic
a ia ion in g ow h [26–28]. Gi en ha ish as ec o he ms a e
pa icula ly sensi i e o a ying ambien condi ions ha can
in luence on ogene ic ajec o ies, indi idual di e ences in g ow h
a e mo e p onounced in ish compa ed o a med e es ial
animals. Fo example, in cul u ed salmonids, pheno ypic coe i-
cien o a ia ion (CV) o body weigh a ies be ween 20–40%
[29], whe eas in chicken and pigs i is a ound 10–15% [30–32].
Finally, an addi ional s eng h o using salmonids o s udy gene ic
a chi ec u e o mic oen i onmen al sensi i i y is ha he es ab-
lished b eeding p og ammes gene a e la ge numbe o amilies in
successi e gene a ions, and due o hei high ecundi y, high amily
sizes can be p oduced, bo h ac o s needed o an e ec i e gene ic
analysis o esidual a ia ion.
To in es iga e he inhe i ance o mic oen i onmen al sensi i i y
and i s gene ic esponses ac oss gene a ions when di ec ional
selec ion is pe o med o imp o ed g ow h, we analyzed
mul igene a ional pedig eed da a co e ing en yea classes and
46 546 indi iduals om he Finnish b eeding p og amme o
ainbow ou , Onco hynchus mykiss (Walbaum). We i s es ima ed
he p opo ion o gene ic a ia ion in esidual a ia ion o body
weigh in ish being main ained in he same loca ion. By p o iding
a common mac oen i onmen ac oss yea classes and by using he
animal model, we ensu ed ha esidual a ia ion can be ega ded
as mic oen i onmen al sensi i i y (o de elopmen al s abili y) ha
esul s om non-sys ema ic en i onmen al ac o s and in e nal
de elopmen al noise. Second, we es ima ed he gene ic co ela ion
be ween he addi i e gene ic e ec s o body weigh and i s
esidual a ia ion. Finally, by es ima ing gene ic ends ha
quan i y gene ic esponses ac oss mul iple gene a ions, we
in es iga ed he e ec s o selec i e b eeding o body weigh on
he gene ic change in mic oen i onmen al sensi i i y.
Me hods
E hics S a emen
All p ocedu es in ol ing animals we e app o ed by he animal
ca e commi ee o he Finnish Game and Fishe ies Resea ch
Ins i u e (FGFRI).
Da a Sou ce
The da a o igina ed om he Finnish na ional ainbow ou
b eeding p og amme main ained by he FGFRI and MTT
Ag i ood Resea ch Finland. The b eeding nucleus is held a he
Te o Fishe ies Resea ch and Aquacul u e s a ion in Cen al
Finland (63u19N, 26u399E).
The pheno ypic da a included 45 900 eco ds o body weigh
om indi iduals bo n du ing 1992–2002 and ea ed a he same
eshwa e nucleus s a ion. The ish ep esen ed eigh yea classes
and belonged o wo subpopula ions wi h ou successi e
gene a ions (Pop I and Pop IIa) [33,34]. Each yea class consis ed
o 94–270 ull-sib amilies es ablished om ma ings o 37–90 si es
wi h 92–270 dams. The subpopula ions sha e a common gene ic
base om which he ounding indi iduals we e sampled in 1989
o PopI and in 1990 o PopII. E en hough he base popula ion
was p eceded by a long- e m cul i a ion backg ound, only he
s udied gene a ions belong o a sys ema ic b eeding p og amme in
which in ensi e gene ic selec ion based on es ima ed b eeding
alues has been p ac iced. The pedig ee in o ma ion ex ended
o e he i e gene a ions and comp ised 46 546 indi iduals,
including he 364 base popula ion animals wi hou pheno ypic
obse a ions.
The gene a ion in e al o he s udy popula ion was 3–4 yea s.
Annual selec ion o b eeding candida es was made using a
mul i ai selec ion index wi h main emphasis on imp o ed g ow h
The selec ion index has consis ed o bes linea unbiased
p edic ions o b eeding alues o body weigh measu ed a he
age o 2 and 3 yea s (since 1992), ma u i y age (since 2001) [35],
and body shape, skin colo and i s spo iness (since 2001) [36].
Pa en al ish we e ma ed in sp ing using ei he nes ed pa e nal
hie a chical o pa ial ac o ial designs [33].
Full-sib egg ba ches we e incuba ed sepa a ely, and a he eyed-
egg s age, hey we e ans e ed o one o wo 150-li e indoo amily
anks. Ha ching o eggs occu ed in June. Du ing he ollowing
win e , a e six mon hs o g owing in he amily anks, equal amoun
o inge lings (o 50–100 g body weigh ) om each amily ank we e
haphaza dly sampled and indi idually agged wi h passi e in eg a -
ed ansponde s (T o an, L d., Ulm, Ge many) and hen ans e ed
o a low- h ough ea h-bo omed aceway a he Te o s a ion. The
ish we e ed wi h comme cial d y eed. In Finland, yea is highly
seasonal and he e ec i e g owing season las s om ea ly May o la e
Oc obe .
A e he second g owing season, he wo-yea -old ish we e
indi idually weighed o he nea es 1 g (mean 10206315 (SD) g, n
= 45 900). The numbe o indi iduals wi hin each yea class
anged be ween 2 518–10 753. The p opo ion o sexually
ma u ed (2+) males in he en i e da a-se was 14.9%, whe eas no
ma u e emales we e ound.
To imp o e he eliabili y o gene ic pa ame e s o esidual
a ia ion, only si e amilies wi h a leas 35 o sp ing (n= 457 si es)
we e selec ed o he analysis. La ge amily sizes a e needed o
ob ain accu a e and unbiased gene ic pa ame e s and es ima ed
b eeding alues (EBVs) o esidual a ia ion [14].
Gene ic Analysis
The es ima ion o gene ic pa ame e s and gene ic ends was
conduc ed using a bi a ia e animal model [31]. The ASReml 3.0
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 2 June 2012 | Volume 7 | Issue 6 | e38766
so wa e applying es ic ed maximum likelihood (REML) was
used [37]. The i s ai was body weigh o which a linea mixed
‘mean model’ was i ed:
yijk~mzyea jz an kkzAizeijk ð1Þ
whe e yijk is body weigh o an indi idual i,
m
is he o e all
popula ion mean, yea jis he ixed e ec o bi h yea (j= 8 yea s),
an kkis he andom in e ac ion e ec be ween bi h yea and
common en i onmen sha ed by ull-sibs be o e agging (k=
amily an k6yea numbe ), Aiis he andom gene ic animal
e ec wi h a pedig ee (i= numbe o animals), and eijk is he
esidual e o e m wi h sepa a e a iance s2
es o each si e amily
s . The common en i onmen e ec is modeled wi hou he
pedig ee in o ma ion. The alues o Akaike’s In o ma ion
C i e ia (AIC) [38] and Bayesian In o ma ion C i e ia (BIC)
[39] we e lowe o he model wi h he e ogeneous esidual
a iance s uc u e, sugges ing a be e i o he da a compa ed o
he model wi h homogeneous esidual a iance (AIC: 539554 and
542160; BIC: 541235 and 542171, espec i ely).
The second ai was mic oen i onmen al sensi i i y which was
quan i ied by he log- ans o med squa ed esidual alues, ln (e2
ijk),
ob ained om he mean model (1) and used as new obse a ions in
he ‘ a iance model’. Log- ans o med squa ed esidual alues
quan i y he con ibu ion o each indi idual o popula ion’s
esidual a ia ion [15,31,32,40]. In con as o si e-dam models,
he esiduals o an animal model include only unexplained
en i onmen al and de elopmen al noise, and hey a e no
con ounded by he addi i e gene ic Mendelian sampling e m.
The animal ‘ a iance model’ was:
ln (e2
ijk)~mzyea jzA esize esij ð2Þ
whe e A esiis he gene ic e ec o animal i o ln (e2
ijk)and e esij is
he andom esidual e ec . Fo he andom e ec s o ln (e2
ijk), he
assump ions we e A es*N(0, As2
A es )and e es*N(0, Is2
e es ),
whe e Ais he addi i e gene ic ela ionship ma ix wi h addi i e
gene ic a iance s2
A es and Iis he iden i y ma ix wi h
homogeneous esidual a iance s2
e es :The andom e ec o
common en i onmen 6bi h yea was omi ed om he a iance
model because i s a iance explained less han 2% o he o al
pheno ypic a iance and i did no signi ican ly di e om ze o.
Because he esiduals o he model 1 a e used as an inpu
a iable o he model 2, he model o he mean and he esidual
a ia ion was i e a i ely sol ed by conduc ing 30 consecu i e
bi a ia e analyses. A each i e a i e ound, ln (e2
ijk) o he
a iance model we e upda ed wi h esiduals om he p e ious
ound’s mean model. The esiduals eijk and e esijk we e assumed o
ollow a bi a ia e no mal dis ibu ion and be unco ela ed (i.e.,
hei esidual co a iance was se o ze o). The con e gence c i e ia
wi hin sepa a e uns we e ul illed when he REML log-likelihood
changed less han 0.002 6i e a ion numbe and he indi idual
a iance pa ame e es ima es changed less han 1% be ween
successi e i e a ions [37].
Calcula ion o Gene ic Pa ame e s and Gene ic T ends
He i abili y o weigh mean was calcula ed as h2~s2
A=s2
Pand
he common en i onmen e ec a io as c2~s2
an k=s2
Pusing he
a iance componen s om model 1. He e s2
P~s2
an kzs2
Azs2
e,
whe e s2
eis he a e age esidual a iance o si e amilies. In
addi ion o common en i onmen e ec s o ull sibs, s2
an kmay
include pa s o non-addi i e gene ic and ma e nal a iance.
Gene ic coe icien o a ia ion was calcula ed as GCV~sA=m,
whe e
m
is he pheno ypic mean o he popula ion. GCV desc ibes
he p opensi y o he ai o espond o selec ion, ha is, i s
e ol abili y [41].
He i abili y o esidual a ia ion was calcula ed as
h2
~s2
AV=(2s4
Pz3s2
A ), whe e s2
A is he ans o med addi i e
gene ic a iance o esidual a ia ion om model 2 and s2
Pis he
pheno ypic a iance o body weigh ob ained om model 1 [14].
The gene ic a iance s2
A was calcula ed as s2
A ~h2
es2(s2
e)2,whe e
h2
es~s2
A es =(s2
A es zs2
e es )is he he i abili y o ln (e2
ijk)and s2
eis he
a e age esidual a iance ob ained om model 1. Gene ic
coe icien o a ia ion o esidual a ia ion was calcula ed as:
GCVE~sA =s2
e:An es ima e o gene ic co ela ion be ween he
addi i e gene ic e ec s o body weigh and i s esidual a iance
was ob ained om he bi a ia e analysis whe e di ec es ima ion o
co- a iance be ween he wo ai s is possible.
The app oxima e s anda d e o s o es ima ed a iance
componen s and a iance a ios we e calcula ed using ASReml.
The s anda d e o o h2
was app oxima ed acco ding o Mulde
e al. [31].
REML log-likelihood alues and he pa ame e es ima es o
body weigh we e ound o emain ela i ely s able ac oss he 30
i e a i e ounds, whe eas s2
A es oscilla ed. The e o e, he esul s
om bi a ia e analysis a e p esen ed as a e ages o all ASReml
uns (n= 30 ounds). The obse ed oscilla ion is inhe en o he
s a is ical model used and is mainly due o an in e play be ween
Ai,A esiand he esidual eijk:An inc ease in Aicauses a dec ease
in he esidual and he eby lowe s A esi(and ice e sa).
To in es iga e whe he o no gene ic changes in mean body
weigh and i s mi c oen i onmen al sensi i i y occu ed du ing
selec i e b eeding, gene ic ends we e de e mined o bo h ai s
and o bo h subpopula ions sepa a ely. The gene ic ends we e
ob ained by plo ing he a e age es ima ed b eeding alues (i.e.,
he p edic ed gene ic le els o yijk and ln (e2
ijk)ob ained om
indi iduals’ a e ages ac oss he 30 i e a i e ounds) agains he
bi h yea o ish.
Resul s
Gene ic Va ia ion
He i abili y o body weigh was mode a e (0.35), whe eas he
common en i onmen a io was low (0.05) (Table 1). Gene ic
coe icien o a ia ion o body weigh was sligh (0.14).
He i abili y es ima e o esidual a ia ion was low (0.02), hough
i was g ea e han i s s anda d e o (Table 2). Ye , he
mode a ely high gene ic coe icien o a iance o esidual
a ia ion (GCV
E
= 0.37) sugges s ha he e is no able gene ic
po en ial in mic oen i onmen al sensi i i y o body weigh .
Gene ic Co ela ion be ween Body Weigh and i s
Residual Va ia ion
The e was a sligh bu signi ican nega i e gene ic co ela ion
be ween body weigh and i s esidual a ia ion
( G=20.15760.039 (S.E.)), indica ing ha high body weigh
was gene ically associa ed wi h dec eased mic oen i onmen al
sensi i i y.
Gene ic T ends
Body weigh showed a clea gene ic imp o emen du ing he
s udy pe iod. O e he ou gene a ions o selec ion, he
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 3 June 2012 | Volume 7 | Issue 6 | e38766
cumula i e gene ic gains in he wo sub-popula ions we e 199 g o
208 g, co esponding o an a e age o 0.83 inc ease in pheno ypic
s anda d de ia ion o 5.5% pe yea (Fig. 1a). In con as , mean
es ima ed b eeding alues o mic oen i onmen al sensi i i y
emained s able ac oss he yea classes (Fig. 1b).
Discussion
Low He i abili y bu Mode a e E ol abili y o
Mic oen i onmen al Sensi i i y
We ound a low 0.02 he i abili y es ima e o esidual a ia ion
o body weigh (i.e., mic oen i onmen al sensi i i y) in 2-yea -old
ainbow ou . This is in ma ked con as wi h he mode a e
he i abili y o 0.35 o body weigh . The low he i abili y es ima e
o mic oen i onmen al sensi i i y is somewha su p ising as la ge
wi hin- and be ween- amily a ia ion in ish g ow h is c ea ed by
mul iple ac o s, some o hem p esumably exhibi ing subs an ial
gene ic a ia ion. Howe e , he no able gene ic coe icien o
a ia ion (37%, when gene ic a ia ion o esidual a iance is
scaled by a e age esidual a iance) indica es he p esence o
subs an ial addi i e gene ic a ia ion o mic oen i onmen al
sensi i i y. Rega ding mos li e-his o y ai s, he low he i abili ies
ye pa adoxically high e ol abili y a e a ibu ed o he high
esidual a ia ion accumula ing om he a iable unde lying
physiological and beha io al ai s [41,42]. Simila ly, body weigh
and i s a ia ion can be in luenced by many unde lying
componen ai s such as eeding beha io , eed u iliza ion and
me abolism [43].
The e a e se e al ac o s ha can main ain gene ic a ia ion in
mic oen i onmen al sensi i i y in he popula ion unde s udy.
Fi s , high ini ial g ow h a es and ene gy esou ces a e ela ed o
inc eased p obabili y o ea ly ma u a ion in salmonids [44,45].
Likewise, in ainbow ou , apid g ow h is gene ically and
pheno ypically co ela ed o ea ly ma u i y age [35,46,47]. In
ou popula ion, male ish p ima ily ma u e a ages o 2 o 3 yea s.
Ma u i y age in males has a mode a e he i abili y o 0.23–0.34,
and hus he e a e amily di e ences in he equency o ma u ing
indi iduals [33,35]. This alone may c ea e gene ic a ia ion in
mic oen i onmen al sensi i i y: high esidual a ia ion would be
ound in amilies wi h bo h ea ly and la e ma u ing indi iduals,
and low esidual a ia ion in amilies wi h ei he only ea ly o only
la e ma u ing indi iduals. Acco dingly, i was logical no o include
ma u a ion as a ixed ac o in he s a is ical model because sexual
de elopmen i sel cap u es pa o he wi hin- amily a ia ion we
we e in e es ed in. Second, ollowing he o me easoning, he
gene ic a ia ion obse ed o esis ance and/o ole ance o
pa asi e-media ed ca a ac (Diplos omum spp.) in ou popula ion
may c ea e gene ic a ia ion in mic oen i onmen al sensi i i y.
Some amilies emain unin ec ed while o he s ha e bo h in ec ed
and unin ec ed indi iduals, and he in ec ed indi iduals exhibi
educed g ow h [48]. Thi d, social in e ac ions associa ed wi h
beha io and g ow h di e ences ha e also been ound o c ea e
addi ional gene ic a ia ion in chicken and pigs [49,50], and
p esumably in ish as well [51]. A la ge p opo ion o he gene ic
a ia ion unde lying socially a ec ed ai s emains hidden, i.e., is
no accoun ed o by he di ec he i abili y es ima es, and can hus
only be e ealed by unexplained esidual a ia ion. Las , i is
impo an o ecall ha e en hough he gene ic cha ac e is ics o
a med ish popula ions a e in luenced by li e his o ies o igina ing
om hei wild ances o s, he esul s om a gene ic analysis o
a med popula ions canno be ex apola ed back o wild popula-
ions [52]. Ne e heless, he es ima es o gene ic pa ame e s
ob ained om a med popula ions help us o unde s and
biologically meaning ul phenomena and also ad ance gene al
knowledge o he ac o s unde lying pheno ypic a ia ion in
quan i a i e ai s [53].
Al hough ainbow ou , among o he salmonids, possess a
capaci y o conside able g ow h and li e-his o y s a egy a ia ion
bo h ac oss and wi hin amilies [33,35,54], he obse ed he i abili y
es ima e o esidual a ia ion in body weigh is o simila low
magni ude ha has been epo ed o less a iable e es ial animals
[11,14]. Co espondingly, GCV
E
was in he ange o hose ound in
chickens, mice, pigs and abbi s (25–50%) [11]. Fluc ua ing
asymme y, he deg ee o andom non-di ec ional de ia ions
be ween mo phological cha ac e is ics measu ed om le and igh
hand side o indi iduals, is an al e na i e measu e o de elopmen al
ins abili y. In acco dance wi h he o iginal idea by Le ne [55],
inc eased he e ozygosi y has been ound o educe luc ua ing
asymme y in bila e al ai s o bo h wild and a med ainbow ou
[56,57]. Howe e , he es ima ed low he i abili y o luc ua ing
asymme y led he au ho s o conclude ha dominance e ec s ha e a
majo con ibu ion o he con ol o de elopmen al s abili y [58].
De elopmen al ins abili y is o en assumed o be selec i ely
disad an ageous due o he inc eased isk o d i om he
pheno ypic op imum [3,59,60], bu empi ical suppo o his iew
is la gely inconclusi e [61]. I is p obable ha in some cases, such as
he mo phological ai s o plan s, selec ion a o s inc eased
sensi i i y as a be -hedging s a egy [62].
Table 1. Es ima es o a iance componen s and a iance
a ios (6app oxima e s anda d e o s) o body weigh .
Pa ame e
a
Es ima e
s2
A20 888 (1515)
s2
ank 3 089 (286)
s2
e35 674 (7444)
s2
P59 652 (7439)
h
2
0.350 (0.051)
c
2
0.052 (0.009)
GCV 0.142
a
addi i e gene ic a iance; s2
ank common en i onmen a iance; s2
e he a e age
esidual a iance o si e amilies; s2
Ppheno ypic a iance; h2– he i abili y,
h2~s2
A=s2
P;c2– common en i onmen e ec a io, c2~s2
ank=s2
P;GCV–
coe icien o gene ic a ia ion, GCV~sA=m.
doi:10.1371/jou nal.pone.0038766. 001
Table 2. Es ima ed a iance componen s and a iance a ios
(6app oxima e s anda d e o s) o mic oen i onmen al
sensi i i y o body weigh .
Pa ame e
a
Es ima e
s2
A es 0.374 (0.028)
s2
A 1.81 E +08
h2
0.024 (0.006)
GCV
E
0.376
a
addi i e gene ic a iance in ln(e
2
) (model 2);
s2
A – ans o med gene ic a iance in he quan i a i e gene ic model o
gene ic he e ogenei y o esidual a ia ion [13], s2
A ~h2
es2(s2
e)2;h2
–
he i abili y, h2
~s2
AV=(2s4
Pz3s2
A );
GCVE– gene ic coe icien o a ia ion, GCVE~sA =s2
e.
doi:10.1371/jou nal.pone.0038766. 002
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 4 June 2012 | Volume 7 | Issue 6 | e38766
I is possible ha simila o li e-his o y ai s [63–66], de elop-
men al s abili y is inhe en ly an impo an i ness co ela e, and he
s ong di ec ional selec ion du ing he long his o y o animals has led
o i s low he i abili y [58]. Meanwhile, many unde lying en i on-
men al and gene ic ac o s a ec ing mic oen i onmen al sensi i i y
e ain i s gene ic coe icien o a ia ion a a mode a e le el.
Ne e heless, u he analyses a e needed o es whe he he gene ic
pa ame e s show simila alues in wild ish popula ions o when ish
Figu e 1. Gene ic changes in mean and esidual a ia ion o body weigh . A e age gene ic changes o A) body weigh mean and B) i s
mic oen i onmen al sensi i i y in wo subpopula ions (black and g ey box) o ainbow ou . The a e ages a e gi en in he uni s o pheno ypic
s anda d de ia ion (s
P
).
doi:10.1371/jou nal.pone.0038766.g001
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 5 June 2012 | Volume 7 | Issue 6 | e38766

popula ions a e in hei i s gene a ions o domes ica ion. The
me hods de eloped by animal b eede s and also used he e [31,32]
can be applied o wild popula ions when pedig ee in o ma ion is
es ablished using molecula gene ic ma ke s.
Di ec and Co ela ed Responses o Selec ion in
Mic oen i onmen al Sensi i i y
The low he i abili y es ima e obse ed he e does no necessa ily
indica e ha mic oen i onmen al sensi i i y would be weakly
esponsi e o selec ion. He i abili y, he a io o addi i e gene ic
a iance o pheno ypic a iance, is one p edic o o gene ic
po en ial o selec ion esponses, hough in his con ex , gene ic
coe icien o a ia ion p o ides a mo e easonable measu e o
e ol abili y, simila o GCV o ai means [41,67]. In ou s udy,
GCV
E
was o e wo imes highe han GCV o body weigh ,
sugges ing a good oppo uni y o ob ain educ ion in andom
en i onmen al a ia ion by selec ion.
Some selec ion expe imen s and b eeding p og ammes ha e
ob ained conside able gene ic esponses in ai s wi h low he i abil-
i y (e.g., de elopmen al s abili y in D osophila [68,69]; pigle su i al
[70]), suppo ing he idea ha also he amoun o esidual a ia ion
can be modi ied by selec ion. Simila ly, esidual a ia ion is
expec ed o be educed by 10% a e one gene a ion o selec ion
when i is included in a selec ion index along wi h he pheno ypic
ai alue [71]. To e ec i ely b eed o a ai wi h a low he i abili y,
pheno ypic eco ds om a la ge numbe o ela i es a e equi ed.
Con olled ma ings and la ge amily sizes inhe en o ainbow ou
and many o he aquacul u e species enhance he es ima ion o
b eeding alues wi h mode a e accu acy [14,72].
To ou knowledge, his s udy is he i s mul igene a ional
b eeding expe imen on aqua ic o ganisms o assess he co ela ed
gene ic e ec o s ong di ec ional selec ion on mic oen i onmen-
al sensi i i y o a ai . The gene ic co ela ion be ween body
weigh and i s esidual a ia ion was nega i e, implying ha a high
ai alue was linked o a sligh ly educed mic oen i onmen al
sensi i i y. This combined wi h he low he i abili y o esidual
a ia ion p edic s only a weak dec easing mic oen i onmen al
sensi i i y ac oss successi e gene a ions in esponse o selec ion o
apid g ow h. Howe e , he gene ic end o mic oen i onmen al
sensi i i y emained s able o sligh ly ele a ed o e he cou se o
he selec ion pe iod, while body weigh mean displayed a 6%
gene ic inc ease pe gene a ion. These esul s oge he indica e
ha gene ic imp o emen o body weigh does no make ainbow
ou mo e sensi i e o mic oen i onmen al pe u ba ions. This is
impo an animal wel a e issue, because inc ease in size he e o-
genei y would lead o se ious challenges in animal husband y.
In ense mass selec ion based on indi iduals’ own pheno ype is
expec ed o inc ease pheno ypic a ia ion wi hin a popula ion
e en when he e is no addi i e gene ic co ela ion be ween ai
and i s esidual a ia ion [14,18]. Mo eo e , s udies on salmonid
ish sugges ha selec ion o apid g ow h may indi ec ly selec o
compe i i e abili y and agg essi eness, hus inc easing he
likelihood o inc eased size a ia ion in a med ish du ing he
b eeding p ocess [73–76]. The obse ed pa e ns in gene ic ends
do no con o m o hese assump ions. Re e ing o he o me
p oposi ion, howe e , a mul i ai selec ion me hod in ou s udy
popula ion was no only based on he pheno ypic in o ma ion o
an indi idual i sel bu also he pe o mance o i s all ela i es was
aken in o accoun . This makes he p edic ions conce ning
esponses in en i onmen al a ia ion mo e di icul . Ne e heless,
he nega i e gene ic co ela ion be ween he body weigh and i s
mic oen i onmen al sensi i i y could be expec ed o coun e bal-
ance, o some ex en , he a e o inc ease in g ow h a ia ion due
o scale e ec s. P e ious s udies on e es ial animals ha e shown
ha he gene ic co ela ion be ween quan i a i e ai s and hei
esidual a ia ions can a y om nega i e o posi i e, depending
on he species and ai analyzed [31,40,77–79]. Simila inconsis-
en esul s ha e been ound in selec ion expe imen s. Fo
example, Iba´n˜ez-Esc iche e al. [16] demons a ed a dec ease in
pheno ypic CV o body weigh ai s in mice selec ed o inc eased
g ow h. In con as , long- e m selec ion expe imen s on D osophila
ui ly showed ha pheno ypic a ia ion can be subs an ially
highe in he lines selec ed o high and low abdominal b is le
numbe ela i e o he unselec ed base popula ion [80,81].
In conclusion, he e ogenei y o esidual a ia ion in ainbow
ou g ow h was ound o be pa ly unde gene ic con ol. This
implies he possibili y o selec ion o a o geno ypes wi h low
a iabili y when cons ancy ac oss mic oen i onmen al condi ions
is impo an . The nega i e gene ic ela ionship be ween body
weigh and i s mic oen i onmen al sensi i i y p esumably acili-
a es imp o ing weigh gain and simul aneously inc easing i s
uni o mi y/ obus ness i bo h objec i es a e inco po a ed in o a
selec ion index. In addi ion, inc easing he g ow h po en ial o ish
does no seem o cause a concomi an change in he ai ’s
mic oen i onmen al sensi i i y.
Acknowledgmen s
We exp ess ou g a i ude o he s a a he Te o Fishe ies Resea ch and
Aquacul u e s a ion o he solid da a collec ion and managing he ish.
Au ho Con ibu ions
Analyzed he da a: MJ. Mainly w o e he manusc ip : MJ. Took pa in
da a analysis and w i ing: AK. Took pa in w i ing he manusc ip : HV.
Con ibu ed ma e ials: OJ. Responsible o he main enance o he
expe imen : OJ.
Re e ences
1. Thoday JM (1955) Balance, he e ozygosi y and de elopmen s abili y. Cold
Sp ing Ha bo Symp Quan Biol 20: 318–326.
2. Falcone DS, Mackay TFC (1996) In oduc ion o Quan i a i e Gene ics, 4 h
edn. Essex: Logman G oup L d. 464 p.
3. Ga ile s S, Has ings A (1994) A quan i a i e-gene ic model o selec ion on
de elopmen al noise. E olu ion 48: 1478–1486.
4. Hende son CR (1986) Es ima ion o a iances in animal model and educed
animal model o single ai s and single eco ds. J Dai y Sci 69: 1394–1402.
5. K uuk LEB (2004) Es ima ing gene ic pa ame e s in na u al popula ions using
he ‘animal model’. Phil T ans R Soc B 359: 873–890.
6. Ho enie R, B ascamp EW, Kanis E, an de We JHJ, Wassenbe g APAM
(1993) Economic alues o op imum ai s: he example o mea quali y in pigs.
J Anim Sci 71: 1429–1433.
7. Dekke s JCM, Bi ke PV, Gibson JP (1995) Op imum linea selec ion indexes o
mul iple gene a ion objec i es wi h non-linea p o i unc ions. Anim Sci 61:
165–175.
8. Poignie J, Szend o¨ ZS, Le ai A, Radnai I, Bi o-Neme h E (2000) E ec o bi h
weigh and li e size on g ow h and mo ali y in abbi . Wo ld Rabbi Sci 8:
103–109.
9. Milligan BN, F ase D, K ame DL (2002) Wi hin-li e bi h weigh a ia ion in
he domes ic pig and i s ela ion o p e-weaning su i al, weigh gain, and
a ia ion in weaning weigh s. Li es P od Sci 76: 181–191.
10. Gilmou KM, DiBa is a JD, Thomas JB (2005) Physiological causes and
consequences o social s a us in salmonid ish. In eg Comp Biol 45: 363–273.
11. Hill WG, Mulde HA (2010). Gene ic analysis o en i onmen al a ia ion. Gene
Res 92: 381–395.
12. Rendel JM, Sheldon BL, Finlay DE (1966) Selec ion o canaliza ion o he scu e
pheno ype. II. Ame Na 100: 13–31.
13. Ca din S, Min ielle F (1986) Selec ion on pheno ypic a ia ion o pupa weigh in
T ibolium cas aneum. Can J Gene Cy ol 28: 856–861.
14. Mulde HA, Bijma P, Hill WG (2007) P edic ion o b eeding alues and
selec ion esponses wi h gene ic he e ogenei y o en i onmen al a iance.
Gene ics 175: 1895–1910.
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 6 June 2012 | Volume 7 | Issue 6 | e38766
15. Ga eau H, Bole G, La zul C, Robe -G anie C, Sa eil G, e al. (2008) Resul s
on ou gene a ions o a canalizing selec ion o abbi bi h weigh . Li es Sci
119: 55–62.
16. Iba´n˜ez-Esc iche N, Mo eno A., Nie o B, Piquea s P, Salgado C, e al. (2008)
Gene ic pa ame e s ela ed o en i onmen al a iabili y o weigh ai s in a
selec ion expe imen o weigh gain in mice: signs o co ela ed canalised
esponse. Gene Selec E ol 40: 279–293.
17. Hill WG (1984) On selec ion among g oups wi h he e ogeneous a iance. Anim
P od 39: 473–477.
18. Hill WG, Zhang X-S (2004) E ec s on pheno ypic a iabili y o di ec ional
selec ion a ising h ough gene ic di e ences in esidual a iabili y. Gene Res 83:
121–131.
19. Wadding on CH (1960) Expe imen s o canalizing selec ion. Gene Res 1: 140–
150.
20. Lewon in RC (1957) The adap a ions o popula ions o a ying en i onmen s.
Cold Sp ing Ha b Symp Quan Biol 22: 395–408.
21. P ice EO, King JA (1968) Domes ica ion and Adap a ion. In: Haze ESE, edi o .
Adap a ion o Domes ic Animals. Philadelphia: Lea and Febige . 34–45.
22. G oss MR (1985) Dis up i e selec ion o al e na i e li e his o ies in salmon.
Na u e 313: 47–48.
23. Hend y AP, S ea ns SC (2004) (eds.). E olu ion Illumina ed: Salmon and hei
Rela i es. New Yo k: Ox o d Uni e si y P ess. 510 p.
24. Mangel M, Sa e hwai e WH (2008) Combining p oxima e and ul ima e
app oaches o unde s and li e his o y a ia ion in salmonids wi h applica ion o
ishe ies, conse a ion, and aquacul u e. Bull Ma Sci 83: 107–130.
25. Pa´ez DJ, B isson-Bonen an C, Rossignol O, Gude ley HE, Be na chez L, e al.
(2011) Al e na i e de elopmen al pa hways and he p opensi y o mig a e: a case
s udy in he A lan ic salmon. J E ol Biol 24: 245–255.
26. Abbo JC, Dunb ack RL, O CD (1985) The in e ac ion o size and expe ience
in dominance ela ionships o ju enile s eelhead ou (Salmo gai dne i). Beha iou
92: 241–253.
27. Jobling M (1985) Physiological and social cons ain s on g ow h o ish wi h
special e e ence o A c ic cha , Sal elinus alpinus L. Aquacul u e 44: 83–90.
28. McCa hy ID, Ca e CG, Houlihan DF (1992) The e ec o eeding hie a chy
on indi idual a iabili y in daily eeding o ainbow ou , Onco hynchus mykiss
(Walbaum). J Fish Biol 41: 257–263.
29. Gjed em T (2000) Gene ic imp o emen o cold-wa e ish species. Aquacul u e
Resea ch 31: 25–33.
30. Damgaa d LH, Rydhme L, Lo endahl P, G andinson K (2003) Gene ic
pa ame e s o wi hin-li e a ia ion in pigle bi h weigh and change in wi hin-
li e a ia ion du ing suckling. JAnim Sci 81: 604–610.
31. Mulde HA, Hill WG, Ve eijken A, Vee kamp RF (2009) Es ima ion o gene ic
a ia ion in esidual a iance in emale and male b oile s. Animal 3: 1673–1680.
32. Wolc A, Whi e IMS, A endano S, Hill WG (2009) Gene ic a iabili y in esidual
a ia ion o body weigh and con o ma ion sco es in b oile chickens. Poul Sci
88: 1156–1161.
33. Kause A, Ri ola O, Paananen T, Wahl oos H, Ma¨n ysaa i EA (2005) Gene ic
ends in g ow h, sexual ma u i y and skele al de o ma ions, and a e o
inb eeding in a b eeding p og amme o ainbow ou (Onco hynchus mykiss).
Aquacul u e 247: 177–187.
34. Veh ila¨inen H, Kause A, Quin on C, Koskinen H, Paananen T (2008) Su i al
o he cu en ly i es : gene ics o ainbow ou su i al ac oss ime and space.
Gene ics 180: 507–516.
35. Kause A, Ri ola O, Paananen T, Ma¨n ysaa i E, Eskelinen U (2003) Selec ion
agains ea ly ma u i y in la ge ainbow ou Onco hynchus mykiss: he quan i a i e
gene ics o sexual dimo phism and geno ype-by-en i onmen in e ac ions.
Aquacul u e 228: 53–68.
36. Kause A, Ri ola O, Paananen T, Eskelinen U, Ma¨n ysaa i E (2003) Big and
beau i ul? Quan i a i e gene ic pa ame e s o appea ance o la ge ainbow
ou . J Fish Biol 62: 610–622.
37. Gilmou AR, Gogel BJ, Cullis BR, Thompson R (2009) ASReml Use Guide
Release 3.0. VSN In e na ional L d, He nel Hemps ead, HP1 1ES, UK.
38. Akaike H (1973) In o ma ion heo y and an ex ension o he maximum
likelihood p inciple. In: Pe o BN, Csaki F, edi o s. P oceedings o he 2nd
In e na ional Symposium on In o ma ion Theo y. Budapes : Akademiai Kiado.
267–281.
39. Schwa z G (1978) Es ima ing he dimension o a model. Ann S a is 6: 461–464.
40. Ne es HHR, Ca alhei o R, Roso VM, Quei oz SA (2011) Gene ic a iabili y
on esidual a iance o p oduc ion ai s in Nello e bee ca le. Li es Sci 142:
164–169.
41. Houle D (1992) Compa ing e ol abili y and a iabili y o quan i a i e ai s.
Gene ics 130: 195–204.
42. P ice T, Schlu e D (1991) On he low he i abili y o li e-his o y ai s. E olu ion
45: 853–861.
43. Kause A, Saloniemi I, Haukioja E, Hanhima¨ki S (1999) How o become la ge
quicky: quan i a i e gene ics o g ow h and o aging in a lush eeding
lepidop e an la a. J E ol Biol 12: 471–482.
44. Rowe DK, Tho pe JE, Shanks AM (1991) The ole o a s o es in he
ma u a ion o male A lan ic salmon (Salmo sala ) pa . Can J Fish Aqua Sci 48:
405–413.
45. Shea e KD, Swanson P (2000) The e ec o whole body lipid on ea ly
ma u a ion o 1+age male Chinook salmon (Onco hynchus shawy scha).
Aquacul u e 190: 343–367.
46. C andell PA, Gall GAE (1993) The gene ics o body weigh and i s e ec on
ea ly ma u i y based on indi idually agged ainbow ou (Onco hynchus mykiss).
Aquacul u e 117: 77–93.
47. Ma yniuk CJ, Pe y GMI, Mogahadam HK, Fe guson MM, Danzmann RG
(2003) The gene ic a chi ec u e o co ela ions among g ow h- ela ed ai s and
male age a ma u a ion in ainbow ou . J Fish Biol 63: 746–764.
48. Kuukka-An ila H, Peuhku i N, Kola i I, Paananen T, Kause A (2010)
Quan i a i e gene ic a chi ec u e o pa asi e-induced ca a ac in ainbow ou ,
Onco hynchus mykiss. He edi y 104: 20–27.
49. Bijma P, Mui WM, an A endonk JAM (2007) Mul ile el selec ion 2:
Es ima ing he gene ic pa ame e s de e mining inhe i ance and esponse o
selec ion. Gene ics 175: 277–288.
50. Be gsma R, Kanis E, Knol EF, Bijma P (2008) The con ibu ion o social e ec s
o he i able a ia ion in inishing ai s o domes ic pigs (Sus sc o a). Gene ics 178:
1559–1570.
51. Monsen BB, Ødega˚ d J, A nesen KR, To en H, Nielsen HM, Damsga˚ d B,
Bijma P, Olesen I (2010) Gene ics o social in e ac ions in A lan ic cod (Gadus
mo hua). 9 h Wo ld Cong Gene Appl Li es P od, Augus 1–6, 2010, Leipzig,
Ge many.
52. Ca lson AM, Seamons TR (2008) A e iew o quan i a i e gene ic componen s
o i ness in salmonids: implica ions o adap a ion o u u e change. E ol Appl 1:
222–238.
53. Weigensbe g I, Ro DA (1996). Na u al he i abili ies: can hey be eliably
es ima ed in he labo a o y? E olu ion 50: 2149–2157.
54. Rasmussen RS, Os en eld T (2010) In aspeci ic g ow h a ia ion among
ainbow ou and b ook ou : impac o ini ial body weigh and eeding le el.
Aquacul In 18: 933–941.
55. Le ne IM (1954) Gene ic Homeos asis. Edinbu g: Oli e and Boyd. 134 p.
56. Lea y RF, Allendo FW, Knudsen KL (1983) De elopmen al s abili y and
enzyme he e ozygosi y in ainbow ou . Na u e 301: 71–72.
57. Lea y RF, Allendo FW, Knudsen KL (1984) Supe io de elopmen al s abili y
o he e ozygo es a enzyme loci in salmonid ishes. Am Na 124: 540–551.
58. Lea y RF, Allendo FW, Knudsen KL (1985) Inhe i ance o me is ic a ia ion
and he e olu ion o de elopmen al s abili y in ainbow ou . E olu ion 39:
308–314.
59. Mølle AP (1997) De elopmen al s abili y and i ness: a e iew. Am Na 149:
916–932.
60. Wagne GP, Boo h G, Baghe i-Chaichian H (1997) A popula ion gene ic heo y
o canaliza ion. E olu ion 51: 329–347.
61. Cla ke GM (1998) De elopmen al s abili y and i ness: he e idence is no qui e
so clea . Am Na 152: 762–766.
62. Hall MC, Dwo kin I, Unge e MC, Pu ugganan M (2007) Gene ics o
mic oen i onmen al canaliza ion in A abidopsis haliana. P oc Na l Acad Sci U S A
104: 13717–13722.
63. Mousseau TA, Ro DA (1987) Na u al selec ion and he he i abili y o i ness
componen s. He edi y 59: 181–197.
64. Houle D (1998) How should we explain a ia ion in he gene ic a iance o
ai s? Gene ica 102–103: 241–253.
65. Me ila¨ J, Sheldon BC (1999) Gene ic a chi ec u e o i ness and non i ness ai s:
empi ical pa e ns and de elopmen o ideas. He edi y 83: 103–109.
66. Me ila¨ J, Sheldon BC (2000) Li e ime ep oduc i e success and he i abili y in
na u e. Am Na 155: 301–310.
67. Hansen TF, Pe´labon C, Houle D (2011) He i abili y is no e ol abili y. E ol Biol
38: 258–277.
68. Ma he K (1953) Gene ical con ol o s abili y in de elopmen . He edi y 7: 297–
336.
69. Ree e ECR (1960) Some gene ic es s on asymme y o s e nopleu al chae a in
D osophila. Ge- ne Res 1: 151–172.
70. Knol EF (2003) Quan i a i e selec ion o pigle su i al as a sa e way o educe
he cos o weane s. Ad Po k P od 14: 59–65.
71. Mulde HA, Bijma P, Hill WG (2008) Selec ion o uni o mi y in li es ock by
exploi ing gene ic he e ogenei y o esidual a iance. Gene Selec E ol 40: 37–
59.
72. Sae-Lim P, Komen H, Kause A (2010) Bias and p ecision o es ima es o
geno ype-by-en i onmen in e ac ion: A simula ion s udy. Aquacul u e 310: 66–
73.
73. Fende son OC, E e ha WH, Mu h KM (1968) Compa a i e agonis ic and
eeding beha iou o ha che y ea ed and wild salmon in aqua ia. J Fish Res Bd
Can 25: 1–14.
74. Ruzzan e DE (1994) Domes ica ion e ec s on agg essi e and schooling
beha iou in ish. Aqacul u e 120: 1–24.
75. Johnsson JI, Pe e sson E, Jonsson E, Bjo¨ nsson BT, Ja¨ i T (1996) Domes ica ion
and g ow h ho mone al e an ip eda o beha iou and g ow h pa e ns in
ju enile b own ou Salmo u a. Can J Fish Aqua Sci 53: 1546–1554.
76. Sunds o¨m LF, Pe e sson E, Ho¨jesjo¨ J, Johnsson JI, Ja¨ i T (2004) Ha che y
selec ion p omo es boldness in newly ha ched b own ou (Salmo u a):
implica ions o dominance. Beha Ecol 15: 192–198.
77. Ros M, So ensen D, Waagepe e sen R, Dupon -Ni e M, SanC is obal M, e al.
(2004) E idence o gene ic con ol o adul weigh plas ici y in he snail Helix
aspe sa. Gene ics 168: 2089–2097.
78. Gu ie ez JP, Nie o B, Pique as P, Iba´n˜ez N, Salgado C (2006) Gene ic
pa ame e s o canaliza ion analysis o li e size and li e weigh ai s a bi h in
mice. Gene Selec E ol 38: 445–462.
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 7 June 2012 | Volume 7 | Issue 6 | e38766
79. Wolc A, Lisowski M, Hill WG, Whi e IMS (2011) Gene ic he e ogenei y o
a iance in p oduc ion ai s o laying hens. B Poul Sci 52: 537–540.
80. Clay on GA, Robe son A (1957) An expe imen al check on quan i a i e
gene ical heo y. II. The long- e m e ec s o selec ion. J Gene 55: 152–170.
81. Mackay TFC, F y JD, Lyman RF, Nuzhdin SV (1994) Polygenic mu a ion in
D osophila melanogas e : es ima es om esponse o selec ion o inb ed s ains.
Gene ics 136: 937–951.
Residual Va ia ion in Rainbow T ou Body Weigh
PLoS ONE | www.plosone.o g 8 June 2012 | Volume 7 | Issue 6 | e38766