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

Janhunen, Matti,Kause, Antti,Vehviläinen, Harri,Järvisalo, Otso

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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