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Applications of genotyping by sequencing in aquaculture breeding and genetics

Robledo Sánchez, Diego; Palaiokostas, Christos; Bargelloni, Luca; Martínez Portela, Paulino; Houston, Ross D.

Abstract

Selective breeding is increasingly recognized as a key component of sustainable production of aquaculture species. The uptake of genomic technology in aquaculture breeding has traditionally lagged behind terrestrial farmed animals. However, the rapid development and application of sequencing technologies has allowed aquaculture to narrow the gap, leading to substantial genomic resources for all major aquaculture species. While high‐density single‐nucleotide polymorphism (SNP) arrays for some species have been developed recently, direct genotyping by sequencing (GBS) techniques have underpinned many of the advances in aquaculture genetics and breeding to date. In particular, restriction‐site associated DNA sequencing (RAD‐Seq) and subsequent variations have been extensively applied to generate population‐level SNP genotype data. These GBS techniques are not dependent on prior genomic information such as a reference genome assembly for the species of interest. As such, they have been widely utilized by researchers and companies focussing on nonmodel aquaculture species with relatively small research communities. Applications of RAD‐Seq techniques have included generation of genetic linkage maps, performing genome‐wide association studies, improvements of reference genome assemblies and, more recently, genomic selection for traits of interest to aquaculture like growth, sex determination or disease resistance. In this review, we briefly discuss the history of GBS, the nuances of the various GBS techniques, bioinformatics approaches and application of these techniques to various aquaculture species

Full text

Applica ions o geno yping by sequencing in aquacul u e b eeding and gene ics Diego Robledo 1 , Ch is os Palaiokos as 1 , Luca Ba gelloni 2 , Paulino Ma  ınez 3 and Ross Hous on 1 1 The Roslin Ins i u e and Royal (Dick) School o Ve e ina y S udies, Uni e si y o Edinbu gh, Midlo hian, UK 2 Depa men o Compa a i e Biomedicine and Food Science, Uni e si y o Pado a, Legna o, Pado a, I aly 3 Depa men o Zoology, Gene ics and Physical An h opology, Facul y o Ve e ina y, Uni e si y o San iago de Compos ela, Lugo, Spain Co espondence Ross Hous on, The Roslin Ins i u e and Royal (Dick) School o Ve e ina y S udies, The Uni e si y o Edinbu gh, Midlo hian, EH25 9RG UK. Email: [email p o ec ed] Recei ed 12 Oc obe 2016; accep ed 27 Decembe 2016. Abs ac Selec i e b eeding is inc easingly ecognized as a key componen o sus ainable p oduc ion o aquacul u e species. The up ake o genomic echnology in aquacul- u e b eeding has adi ionally lagged behind e es ial a med animals. Howe e , he apid de elopmen and applica ion o sequencing echnologies has allowed aquacul u e o na ow he gap, leading o subs an ial genomic esou ces o all majo aquacul u e species. While high-densi y single-nucleo ide polymo phism (SNP) a ays o some species ha e been de eloped ecen ly, di ec geno yping by sequencing (GBS) echniques ha e unde pinned many o he ad ances in aqua- cul u e gene ics and b eeding o da e. In pa icula , es ic ion-si e associa ed DNA sequencing (RAD-Seq) and subsequen a ia ions ha e been ex ensi ely applied o gene a e popula ion-le el SNP geno ype da a. These GBS echniques a e no dependen on p io genomic in o ma ion such as a e e ence genome assembly o he species o in e es . As such, hey ha e been widely u ilized by esea che s and companies ocussing on nonmodel aquacul u e species wi h ela- i ely small esea ch communi ies. Applica ions o RAD-Seq echniques ha e included gene a ion o gene ic linkage maps, pe o ming genome-wide associa- ion s udies, imp o emen s o e e ence genome assemblies and, mo e ecen ly, genomic selec ion o ai s o in e es o aquacul u e like g ow h, sex de e mina- ion o disease esis ance. In his e iew, we b ie ly discuss he his o y o GBS, he nuances o he a ious GBS echniques, bioin o ma ics app oaches and applica- ion o hese echniques o a ious aquacul u e species. Key wo ds: aquacul u e, geno yping, nex -gene a ion sequencing, es ic ion-si e associa ed DNA, selec i e b eeding, single nucleo ide polymo phism. Backg ound Despi e he c i ical ole o aquacul u e in global ood secu- i y, he as majo i y o wo ld ish and shell ish p oduc ion is based on s ocks wi hou ad anced selec i e b eeding p o- g ammes (Gjed em e al. 2012; Janssen e al. 2016). Aqua- cul u e b eeding schemes end o lag behind hei e es ial li es ock coun e pa s in e ms o he up ake o genomic echnologies, and o many aquacul u e species, molecula gene ic ools a e only applied o pedig ee econs uc ion (Cha anne e al. 2016). In compa ison, mos mode n b eeding p og ammes in li es ock a e now unde pinned by genomic selec ion (GS, Meuwissen e al. 2001), he bene i s o which a e well-illus a ed in dai y ca le (Hayes e al. 2009). GS ypically equi es genome-wide gene ic ma ke da a o a la ge numbe o indi idual animals. Up un il a ew yea s ago, ob aining gene ic ma ke s was cos ly and labo ious; hence, la ge numbe s o ma ke s we e only a ail- able o a hand ul o well-s udied species. Howe e , he ecen ad ances in nex -gene a ion sequencing (NGS) ha e g ea ly educed he cos o nucleic acid sequencing, and he e o e also gene ic ma ke disco e y. This has opened he doo o apid gene a ion o genome-wide gene ic ma - ke da ase s, ei he ia gene a ion and applica ion o SNP a ays, o di ec ly ia geno yping by sequencing (GBS) echniques (Da ey e al. 2011). GBS echniques ha e e o- lu ionized he ield o e olu iona y genomics ( e iewed in And ews e al. 2016) and ha e also led o se e al ad ances in gene ics and b eeding o aquacul u e species, he subjec o his e iew. ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d670 This is an open access a icle unde he e ms o he C ea i e Commons A ibu ion License, which pe mi s use, dis ibu ion and ep oduc ion in any medium, p o ided he o iginal wo k is p ope ly ci ed. Re iews in Aquacul u e (2018) 10, 670–682 doi: 10.1111/ aq.12193 Due o he high ecundi y o aquacul u e species, he majo i y o b eeding p og ammes a e based on collec ion o ai da a on close ela i es (e.g. ull siblings) o he selec- ion candida es, pa icula ly whe e he ai o in e es can- no be measu ed on he candida es hemsel es (e.g. ille quali y, disease esis ance). Wi hou gene ic ma ke s, his se -up enables amily selec ion, whe eby amily-le el es i- ma ed b eeding alues (EBVs) o selec ion candida es a e calcula ed using he da a collec ed on he ela i es. How- e e , o u ilize he wi hin- amily gene ic a ia ion in hese ai s, gene ic ma ke s a e necessa y o dis inguish be ween selec ion candida es. Implemen a ion o ma ke s in b eed- ing can b oadly be spli in o wo ca ego ies; ma ke -assis ed selec ion (MAS) and GS. MAS is based on he use o a - ge ed ma ke s linked o majo quan i a i e ai s loci (QTL) a ec ing he ai , and one o he i s examples in aquacul u e was hos esis ance o in ec ious panc ea ic nec osis i us (IPNV) in A lan ic salmon (Salmo sala , Hous on e al. 2008; Moen e al. 2009). Fo ai s wi h a polygenic a chi ec u e, GS is a mo e app op ia e app oach, whe eby he ela i es o he selec ion candida es become he ‘ aining’ popula ion wi h geno ypes and pheno ypes, and hose da a a e used o calcula e genomic b eeding al- ues (GEBVs) o selec ion candida es wi h geno ype da a only. This applica ion o genomic selec ion in aquacul u e b eeding is a a o ma i e s age, and mos examples o da e ha e ocussed on imp o ed b eeding o esis ance o in ec- ious diseases (e.g. Ødeg  a d e al. 2014; Tsai e al. 2015, 2016b; Vallejo e al. 2016; Dou e al. 2016; Palaiokos as e al. 2016). The majo i y o high- esolu ion gene ic s udies in aquacul u e species, and applica ions o genomic selec- ion, ha e been unde pinned by GBS echniques, ei he by di ec ly p o iding geno ype da a o by disco e ing ma ke s o he design o SNP a ays, which a e cu en ly only a ail- able o a hand ul o aquacul u e species (e.g. A lan ic sal- mon, Hous on e al. 2014; Y a~ nez e al. 2016; Paci ic oys e , C assos ea gigas, and Eu opean la oys e , Os ea edulis, Lap egue e al. 2014; channel ca ish, Ic alu us punc a us, Liu e al. 2014; common ca p, Cyp inus ca pio,Xue al. 2014a; ainbow ou , Onco hynchus mykiss, Pal i e al. 2015a). The mos common GBS echniques in ol e lib a y p epa a ion s eps ha esul in deep sequence da a a a epea able subse o si es dispe sed h oughou he genome, ypically using one o wo es ic ion enzymes (RE), al hough also new GBS echniques based on a ge ed sequencing ha e been ecen ly de eloped (i.e. GT-Seq, dis- cussed below). The eason behind his genome complexi y educ ion is ha high-co e age sequencing o a ypical aquacul u e species’ genome wi h enough dep h o con i- den ly call geno ypes is s ill p ohibi i ely expensi e o he numbe o animals equi ed o high- esolu ion gene ic s udies and b eeding p og amme applica ions. Genome complexi y educ ion ia RE is as and inexpensi e. Indeed, RE-based echniques ha e been commonplace in geno yping o many yea s, wi h RFLP and AFLP being widely applied o gene a e geno yping assays o limi ed numbe s o gene ic ma ke s. The ma iage o hese ideas wi h NGS has enabled a majo b eak h ough o gene ic s udies o complex ai s in nonmodel o ganisms, and hei applica ion o imp o e aquacul u e p oduc ion. RAD sequencing Res ic ion-si e associa ed DNA sequencing (RAD sequencing o RAD-Seq) co e s a ange o GBS echniques which com- bine he use o genome complexi y educ ion wi h REs and he high sequencing ou pu o NGS echnologies. RAD-Seq was i s desc ibed by Bai d e al. (2008), ollowing on om a simila idea based on mic oa ays (Mille e al. 2007). Some o he main easons o i s ins an success a e ha RAD-Seq does no equi e any p io genomic knowledge, i allows gen- e a ion o popula ion-speci ic geno ype da a (i.e. no asce - ainmen bias) and i o e s lexibili y in e ms o desi ed ma ke densi y ac oss he genome. The use o di e en REs o inno a i emodi ica ions o hebase echniqueallowsa high le el o con ol o e he numbe o ma ke s ob ained o a speci ic s udy. RAD-Seq and simila echniques a e also amenable ools o aquacul u e b eeding, whe e gene ic ma ke s ha e ypically been used in amily assignmen and pedig ee econs uc ion (Vandepu e & Ha ay 2014). Mass spawning species a e common in aquacul u e, whe e mixed ea ing and unknown pa en al con ibu ion necessi a e he use o geno yping o amily-based b eeding. RAD-Seq po en- ially acili a es a single expe imen whe eby pedig ees a e econs uc ed, gene ic di e si y is quan i ied, QTL can be mapped and genomic b eeding alues calcula ed (Palaiokos- as e al. 2016). Since he o iginal RAD-Seq pape by Bai d e al. (2008), se e al a ian s o his me hodology ha e been desc ibed. Th ee o hem ha e been ex ensi ely used in aqua- cul u e gene ics esea ch: he o iginal RAD-Seq (Bai d e al. 2008), 2b-RAD (Wang e al. 2012) and ddRAD (Pe e son e al. 2012). O he RAD-based echniques like ezRAD (Too- nen e al. 2013) o SLAF-seq (Sun e al. 2013) in oduced mino modi ica ions, which do no con e a majo ad an age o aquacul u e applica ions. All a ailable RAD-based ech- niques ha e been ecen ly e iewed in dep h elsewhe e (And ews e al. 2016); he e o e, he e we ha e ocused on hose mos ele an in aquacul u e b eeding. The main ea- u es o o iginal RAD-Seq, 2b-RAD and ddRAD a e shown in Table 1, and hey a e b ie ly desc ibed below. O iginal RAD-Seq In o iginal RAD-Seq (Bai d e al. 2008), genomic DNA samples om se e al animals a e indi idually diges ed wi h Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 671 RAD sequencing in aquacul u e a RE o choice. The diges ed DNA is hen andomly shea ed and pooled a e liga ion o adap o s wi h nucleo ide ba - codes o unique iden i ica ion o each sample. The esul ing es ic ion agmen s a e selec ed o sui able size ange (i.e. o Illumina sequencing, ypically 300–600 bp), and a e a subsequen polyme ase chain eac ion (PCR) s ep, he ag- men s a e sequenced. The esul is high-co e age sequence da a o lanking egions o he RE cu si es, which a e ypi- cally dispe sed qui e e enly h oughou he genome. As such, a genome-wide gene ic ma ke da ase can be p oduced ac oss a popula ion o indi iduals a a ac ion o he cos o whole genome esequencing. Illumina sequencing o sho agmen s ei he in ol es sequencing one (one ead, single end) o bo h ( wo eads, pai ed end) ends o each agmen and cu en ly gi es eads o up o 300 bp in leng h. Each lanking sequence o he RE cu si e is e e ed o as a RAD locus (o RAD- ag), and he high co e age o RAD ags acil- i a es simul aneous SNP de ec ion and geno yping. The numbe o RAD ags, and he e o e SNPs, gene a ed in he expe imen is uneable ia he choice o a e o mo e e- quen cu ing RE. The mos commonly used enzyme o da e is Sb I which has an eigh base ecogni ion si e and he e o e cu s ela i ely in equen ly h oughou he genome. Online ools a e a ailable o guide he choice o he mos app op i- a e RE acco ding o he equi emen s and budge o he s udy (Lepais & Wei 2014). In addi ion o sequencing and geno yping indi iduals, he app oach is also amenable o geno yping pooled popula ions o bulk-seg egan analysis (Bai d e al. 2008; Hohenlohe e al. 2010). One o he main d awbacks o he o iginal echnique is ha shea ing by soni- ca ion is andom and a iable, po en ially hinde ing he e i- ciency and he ep oducibili y o RAD-Seq (Da ey e al. 2013). Howe e , his andom shea ing s ep can also be a bene i , as he a iable size o he genomic agmen s ancho ed a he RE cu si e acili a es he assembly o a con- ig based on he pai ed-end eads. This augmen s anno a ion o he RAD loci when he e is no e e ence genome a ailable, and also he design o speci ic p ime s o e-geno yping o a ge ed SNPs. In addi ion, he pai ed-end da a om RAD-Seq allow iden i ica ion and emo al o pu a i e PCR duplica es ( eads o igina ed om he same o iginal DNA agmen , he e o e p esen ing iden ical sequences), which can hinde analysis and in e p e a ion o Illumina sequenc- ing da a (Schweyen e al. 2014). While he e a e se e al sou ces o po en ial bias and e o in RAD-Seq echniques (see e iew by And ews e al. 2016), se e al heo e ical and empi ical s udies ha e demons a ed ha RAD-Seq does en- de ep oducible geno yping da a ac oss di e en labo a o- ies, popula ions and e en species (e.g. DaCos a & So enson 2014; Gonen e al. 2015). 2b-RAD The i s majo modi ica ion o he o iginal RAD echnique was e med 2b-RAD (Wang e al. 2012). The main inno a- ion in 2b-RAD is he use o ype IIB REs, which sha e he ea u e o cu ing he genomic DNA a bo h sides o he ecogni ion si e a a ixed dis ance, esul ing in p o uding noncohesi e ends. The esul is sho genomic DNA ag- men s o iden ical size a each IIB RE si e in he genome. Lib a y cons uc ion in he 2b-RAD p o ocol is simple. Fol- lowing DNA diges ion, adap o s a e liga ed o he agmen s, and speci ic ba codes a e added o each sample h ough PCR ampli ica ion using degene a ed linke s. Samples a e hen pooled and sequenced ypically using Illumina echnol- ogy, bu allowing o uns o sho e ead leng h due o he smalle size o he agmen s in compa ison o o iginal RAD (2b-RAD agmen s a e 33–36 bp). The use o ype IIB REs heo e ically acili a es he sampling and sequencing o iden- ical si es ac oss indi iduals, ci cum en ing he po en ial bias o RAD-Seq caused by he andom shea ing s ep. I also a oids he ime-consuming and po en ially e o -p one size- selec ion s ep, which cha ac e izes he majo i y o o he RAD me hods. Addi ionally, 2b-RAD is cu en ly he only membe o he RAD amily ha allows emo al o loci exhibi ing s and bias (Pu i z e al. 2014a). The possibili y o p oduce indi idually ba coded lib a ies allows a ge ed adjus men be o e pooling o ob ain mo e equal ep esen a- ion o indi idual samples. The main ca ea o his me hod is ha i p oduces sho sequencing eads (33–36 bp), which a e less amenable o alignmen o e e ence genome assem- blies, and hinde s ollow-up applica ions such as he design o indi idual SNP assays (due o lack o SNP lanking sequence). Howe e , his is no an issue i a d a genome sequence is a ailable o he species, as is becoming he case in many aquacul u e ish species. Table 1 Summa y o he di e en geno yping by sequencing (GBS) echniques Technique Key ea u es Ad an ages Disad an ages RAD-Seq Diges ion wi h one RE •Pai ed-end con igs •PCR duplica e emo al •Complex lib a y p epa a ion 2bRAD Diges ion wi h ype IIB REs •No size-selec ion s ep •High ep oducibili y •Easy lib a y p epa a ion •S and bias de ec ion •Sho agmen s •Remo al o PCR duplica es no possible ddRAD Diges ion wi h wo di e en REs •Can mul iplex many samples •Easy lib a y p epa a ion •Flexibili y o e SNP densi y •Repea abili y dependen on size- selec ion s ep Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 672 D. Robledo e al. ddRAD Pe e son e al. (2012) de eloped a new RAD-Seq pla o m using a double diges ion o genomic DNA wi h wo REs (ddRAD), hus elimina ing he shea ing s ep o o iginal RAD. The ddRAD p o ocol is mo e lexible han RAD-Seq o 2b-RAD in e ms o a ge ed ma ke densi y; he numbe o agmen s and SNPs can be eadily ailo ed by combin- ing di e en RE pai s. Due o he ypical use o a a e and a common cu ing enzyme, ddRAD esul s in ewe sequenced si es han RAD-Seq, acili a ing highe sequence co e age and/o mo e indi iduals mul iplexed wi hin a sin- gle sequencing lane. Highe mul iplexing is possible due o combina ional mul iplex indexing, whe eby a i s ba code is in oduced in he liga ion s ep and a second du ing he PCR. The e o e, a la ge numbe o samples can po en ially be sequenced in a single lane han wi h he o he RAD ech- niques. Compa ed o he RAD-Seq p o ocol, he wo k low o p epa a ion o ddRAD lib a ies is simple , quicke and also subs an ially cheape . Howe e , he wo k low is s ill mo e complex han he 2b-RAD p o ocol and equi es a size-selec ion s ep. To ensu e epea abili y o sampled ddRAD loci ac oss samples and lib a ies, consis ency o size selec ion is pa amoun (And ews e al. 2016). A simpli ied a ia ion o he ini ial ddRAD p o ocol, whe e bo h P1 and P2 adap o s wi h indi idual ba codes a e liga ed p io o size selec ion (Palaiokos as e al. 2015a), u he educes hands-on ime o lib a y p epa a ion. RAD bioin o ma ic analyses The ad en o NGS posed impo an challenges in e ms o da a s o age, ans e and analysis, which necessi a ed he de elopmen o specialized ha dwa e and so wa e. Conse- quen ly, he imp o emen o NGS-based sequencing pla - o ms occu ed in andem wi h con inuous de elopmen and imp o emen o sui able bioin o ma ics ools o anal- yse he la ge da ase s. A weal h o so wa e is a ailable o analysing da a o igina ing om he RAD amily o ech- niques. In he cu en e iew, a gene al amewo k o da a analysis will be desc ibed, a he han a emp ing o p o- ide a comp ehensi e o e iew o all a ailable ools. Acco dingly, he mos popula , s aigh o wa d o use and egula ly upda ed o he a ailable ools a e highligh ed in e ms o a sugges ed o de o usage ha migh o m a com- ple e RAD analysis pipeline. Expe imen al design and simula ion Sequencing and lib a y cons uc ion ypically accoun o he bulk o he cos o any expe imen u ilizing NGS. This leads o a balancing exe cise, whe eby esea che s s i e o include as many samples as possible pe sequencing lane (mul iplexing), wi hou comp omising he ead co e age equi ed o accu a e SNP geno ype calling. The e o e, wo key a iables o a RAD expe imen a e he choice o he RE (a ec ing how many si es a e sequenced), and he desi ed ead co e age pe locus. In silico simula ion is a aluable ool o any well-designed RAD expe imen . The R-based package SimRAD (Lepais & Wei 2014) can be u i- lized o simula ion-based p edic ion o he expec ed num- be o loci o each RE (o hei combina ion) and he genome o s udy. Al hough simula ion es ima es a e likely o di e om he empi ical da a, aluable in o ma ion can be gained o op imize expe imen al design be o e commi - ing o he high cos associa ed wi h lib a y cons uc ion and sequencing. Demul iplexing lib a ies The iles ha a e gene a ed by he sequence ( ypically Fas Q iles) equi e demul iplexing in o indi idual samples based on nucleo ide ba codes. The mos popula packages o his ask include S acks (Ca chen e al. 2011) and pyRAD (Ea on 2014). S anda d quali y con ol p ocedu e is o disca d sequence eads below use -de ined accep able quali y sco es, e oneous ba codes and eads missing he cha ac e is ic sequence pa e n ob ained om he RE. Fol- lowing demul iplexing, sequence iles co esponding o each indi idual a e gene a ed o downs eam analyses, including SNP calling and geno yping. SNP iden i ica ion One o he key ad an ages o RAD-Seq app oaches o non- model o ganisms (including many aquacul u e species) is he abili y o iden i y and geno ype SNPs wi hou equi ing a e e ence genome o he o ganism unde s udy. This app oach, commonly de ined in he li e a u e as de no o assembly, can be pe o med using ei he S acks (Ca chen e al. 2011), pyRAD (Ea on 2014) o dDocen (Pu i z e al. 2014b); howe e , he la e is limi ed o ddRAD o ezRAD da a. The de no o app oach in ol es iden i ica ion and assembling o RAD loci in each indi idual, based on use - de ined pa ame e s ela ed o ead co e age equi ed pe locus, and sequence di e gence be ween loci (Ca chen e al. 2011). Iden i ica ion o SNPs and in e ence o alleles wi hin RAD loci is pe o med using a maximum-likelihood-based algo i hm (Hohenlohe e al. 2010), which unde akes s a- is ical es s a each nucleo ide posi ion o assess he likeli- hood o a pa icula diploid geno ype. In doing so, he model implici ly es ima es and accoun s o sequencing e o a e (Ca chen e al. 2011). The S acks so wa e does no cu en ly suppo SNP iden i ica ion and geno yping in he pai ed-end (P2) ead, unless ancho ed o a second RE (e.g. in ddRAD). The e o e, in o iginal RAD expe imen s Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 673 RAD sequencing in aquacul u e using S acks, he P2 ead is ypically used o quali y con- ol (e.g. emo al o PCR duplica es), and o cons uc ing pai ed-end ‘mini-con igs’ which acili a e BLAST alignmen and geno yping assay design (E e e al. 2011). The simul- aneous use o P1 and P2 eads in he case o dDocen , and he applica ion o an alignmen -clus e ing algo i hm in he case o pyRAD, allow he iden i ica ion o inse ion/dele ion polymo phisms (indels) and iden i ica ion o SNPs in he P2 eads. Due o he dec easing cos o NGS, e e ence genome sequences a e becoming a ailable o many impo an aquacul u e species. The numbe o species wi h e e ence genome assemblies is apidly inc easing (A lan ic cod, Gadus mo hua, S a e al. 2011; Paci ic oys e , Zhang e al. 2012; Eu opean sea bass, Dicen a chus lab ax, Tine e al. 2014; ainbow ou , Be helo e al. 2014; Japanese eel, Anguilla japonica, Kai e al. 2014; hal -smoo h ongue sole, Cynoglossus semilae is, Chen e al. 2014; common ca p, Xu e al. 2014b; No he n pike, Esox lucius, Rondeau e al. 2014; Nile ilapia, O eoch omis nilo icus, B awand e al. 2015; Asian sea bass, La es calca i e , Vij e al. 2016; Medi e anean mussel, My ilus gallop o incialis, Mu ga ella e al. 2016; u bo , Scoph halmus maximus, Figue as e al. 2016; A lan ic salmon, Lien e al. 2016; channel ca ish, Chen e al. 2016), and new sequencing da a will imp o e genome quali y and anno a ion. The e o e, e e ence- guided RAD-Seq app oaches a e likely o be inc easingly u ilized. Bo h S acks and dDocen can u ilize e e ence gen- ome in o ma ion, using s anda d alignmen ools ollowed by simila SNP calling algo i hms o he de no o app oach desc ibed abo e. Po en ial bias and sou ces o e o While he bioin o ma ic pipelines o he RAD-like app oaches a e becoming inc easingly s anda dized, he e emains po en ial in insic ba ie s ha mus be o e - come o ensu e he gene a ion o accu a e and epea able SNP da ase s. One example ha is pa icula ly ele an o he aquacul u e esea ch communi y is dis inguishing be ween genuine allelic SNPs and pa alogous a ian s esul ing om ances al whole genome duplica ion. This is pa icula ly a challenge o salmonid species, and s a egies o accoun o his include (i) assessing ead co e age o pa e ns sugges i e o pa alogous a ia ion, (ii) checking o excessi e he e ozygosi y a loci and (iii) sequencing (double) haploid indi iduals as he basis o il e ing ou pa alogous sequence a ian s (e.g. E e e & Seeb 2014; Hous on e al. 2014; Pal i e al. 2015a,b). Ano he po en ial sou ce o e o o all RAD-Seq s udies is he p oblem o RAD allele d opou (Gau ie e al. 2013), whe e mu a ions wi hin he ecogni ion sequence o he RE seg ega ing in he popula ion a e a common sou ce o null alleles. The ex en o he issue is ela ed o he leng h o he RE ecogni ion sequence, and i is he e o e po en ially mo e o a p oblem o ddRAD (which equi es wo REs) e sus o he me hods (Gonen e al. 2015; And ews e al. 2016). Bo h ead co e age le els and assessmen o seg ega ion dis o ion in pedi- g eed c osses can assis in iden i ying and emo ing, o accoun ing o , hese null alleles. Finally, he concep o PCR duplica es is aised abo e, and his is due o p e e - en ial ampli ica ion o ce ain clonal DNA agmen s de i ed om he o iginal genomic DNA agmen s. PCR duplica es can gi e ise o he si ua ion whe e one allele is o e ep esen ed in he esul ing sequence da a and causes p oblems wi h di e en ia ing homozygous and he e ozygous indi iduals a ha locus (Schweyen e al. 2014). Applica ions o RAD sequencing in aquacul u e Since i s i s desc ip ion by Bai d e al. (2008), RAD-Seq has quickly sp ead h ough di e en ields o gene ic esea ch, and i has been used in di e en aquacul u e spe- cies o cons uc gene ic maps (e.g. Recknagel e al. 2013; Gonen e al.2014), o compa a i e genomics (e.g. Kakioka e al. 2013; Manousaki e al. 2015), o mapping genes associa ed wi h p oduc ion ai s (e.g. Hous on e al. 2012; Shao e al. 2015; Fu e al. 2016), mapping sex de e mining loci (e.g. Palaiokos as e al. 2013a,b), s udying popula ion dynamics (e.g. B adic e al. 2013), o ishe ies manage- men (e.g. Ogden e al. 2013), assembling e e ence gen- omes (e.g. Tine e al. 2014) o gene a ing SNP esou ces o u u e SNP a ay de elopmen (e.g. Hous on e al. 2014; Pal i e al. 2014). A summa y o he s udies pe - o med di ec ly ele an o aquacul u e is de ailed below and in Table 2. Gene ic ma ke disco e y o SNP a ay de elopmen Ea ly s udies using RAD-Seq ypically ocussed on sim- ply gene a ing a gene ic ma ke esou ce o nonmodel o ganisms. When he genome size o he a ge species is la ge, hen whole genome ( e)sequencing is a guably no cos -e ec i e o SNP disco e y ac oss many indi- iduals, and genome complexi y educ ion is ad an a- geous. As such, RAD-Seq and simila echniques enabled a s ep change in he numbe o gene ic ma ke s (SNPs) a ailable o se e al species (e.g. s u geon, Aci- pense genus, Ogden e al. 2013; o ainbow ou , Pal i e al. 2014), and hese ha e subsequen ly been used o se e al high- esolu ion gene ic s udies. SNPs gene a ed by RAD echniques ha e also been applied o p oduce SNP a ays o se e al aquacul u e species, including A lan ic salmon (Hous on e al. 2014), ainbow ou Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 674 D. Robledo e al. (Pal i e al. 2015a) and Paci ic oys e (Lapegue e al. 2014). Wi h he educ ion in sequencing cos s o e ecen yea s, whole genome ( e)sequencing (i.e. pool- sequencing, Schl€ o e e e al. 2014) has become inc eas- ingly iable. Howe e , RAD-like echniques s ill hold a signi ican ad an age o SNP disco e y when (i) he e is no e e ence genome a ailable, and (ii) only a med- ium densi y SNP esou ce is equi ed. Linkage maps and e e ence genome assembly Res ic ion-si e associa ed DNA sequencing echniques ha e been widely used in aquacul u e species o cons uc - ing gene ic maps based on ecombina ion e en s in de ined c osses. Such medium densi y SNP linkage maps a e use ul ools o downs eam applica ions such as QTL mapping, compa a i e genomic and gene mining, o popula ion Table 2 Summa y o aquacul u e-o ien ed s udies using es ic ion-si e associa ed DNA sequencing (RAD-Seq) S udy Species Aim Technique Samples SNPs Families Salmonids Hous on e al. (2012) Salmo sala Disease esis ance QTL (IPNV) RAD 32 6712 Two amilies Gonen e al. (2014) Salmo sala Linkage map RAD 96 8257 Two amilies Campbell e al. (2014) Onco hynchus mykiss Disease esis ance QTL (BCWD and IHNV) RAD 456 4661 40 amilies Pal i e al. (2014) Onco hynchus mykiss SNP esou ce RAD (92) 19 145 168 19 gene ic lines Pal i e al. (2015b) Onco hynchus mykiss Disease esis ance QTL (BCWD) RAD 252 5612/4946 Two amilies Liu e al. (2015b) Onco hynchus mykiss Co isol esponse o c owding QTL RAD 234 4874 One amily Liu e al. (2015b) Onco hynchus mykiss Disease esis ance QTL (BCWD) and spleen size QTL RAD 301 7849 Two hal -sib amilies Vallejo e al. (2016) Onco hynchus mykiss Genomic selec ion (BCWD) RAD 711 24 465 81 amilies E e e and Seeb (2014) Onco hynchus shawy scha The mo ole ance and g ow h QTL RAD 422 3534 Six amilies La son e al. (2016) Onco hynchus ne ka The mo ole ance and g ow h QTL RAD 491 11 457 Fi e amilies Nonsalmonid ish Palaiokos as e al. (2013b) O eoch omis nilo icus Sex de e mina ion QTL RAD 88 3904/4477 Two amilies Palaiokos as e al. (2015a) O eoch omis nilo icus Sex de e mina ion QTL ddRAD 372 1279 Fi e amilies Palaiokos as e al. (2013a) Hippoglossus hippoglossus Sex de e mina ion QTL RAD 93 7572/5954 2 hal -sib amilies Palaiokos as e al. (2015b) Dicen a chus lab ax Sex de e mina ion QTL RAD 187 6706 4 +4 hal -sib amilies Wang e al. (2015a,b) Scoph halmus maximus Sex de e mina ion and g ow h QTL RAD 151 6647 One amily B own e al. (2016) Polyp ion oxygeneios Sex de e mina ion and g ow h QTL ddRAD 59 1609 One amily Manousaki e al. (2015) Pagellus e y h inus Linkage map ddRAD 99 920 One amily Shao e al. (2015) Pa alich hys oli aceus Disease esis ance QTL (Vib io anguilla um) RAD 218 13 362 One amily Palaiokos as e al. (2016) Spa us au a a Disease esis ance genomic selec ion 2b-RAD 777 12 085 75 amilies Wang e al. (2015a,b) La es calca i e G ow h QTL ddRAD 144 3349 One amily Fu e al. (2016) Hypoph halmich hys nobilis G ow h QTL 2b-RAD 119 3323 One amily In e eb a es Jiao e al. (2014) Chlamys a e i Sex de e mina ion and g ow h QTL 2b-RAD 98 7458 One amily Li and He (2014) Pinc ada uca a G ow h QTL RAD 100 1381 One amily Shi e al. (2014) Pinc ada uca a G ow h QTL 2b-RAD 98 10 577 One amily Tian e al. (2015) Apos ichopus japonicas G ow h QTL 2b-RAD 102 11 306 One amily Lu e al. (2016) Ma supenaeus japonicus The mo ole ance and g ow h QTL RAD 152 9829 One amily Dou e al. (2016) Pa inopec en yessoensis Genomic selec ion (g ow h) 2b-RAD 349 2364 Fi e amilies Ren e al. (2016) Halio is di e sicolo G ow h QTL RAD 142 3317 One amily Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 675 RAD sequencing in aquacul u e genomic s udies. Fo example, RAD-based linkage maps ha e been c ea ed o A lan ic salmon (Gonen e al. 2014), channel ca ish (Li e al. 2014), Japanese lounde (Shao e al. 2015), u bo (Wang e al. 2015b) and Asian seabass (Wang e al. 2015a). Gene ic maps based on RAD-Seq ha e also con ibu ed o mapping and o ien a ion o sca olds o e e ence genome assemblies o key aquacul u e species such as Eu opean sea bass (Tine e al. 2014), ainbow ou (Be helo e al. 2014), Japanese eel (Kai e al. 2014), hal - smoo h ongue sole (Chen e al. 2014) and u bo (Figue as e al. 2016). While NGS echnology has enabled apid and cheap e e ence genome assemblies, hey a e ypically ag- men ed and incomple e. Fu he , assembly e o s a e qui e common, and linkage maps can also assis wi h esol ing mis-assemblies (Fie s 2015; Tsai e al. 2016a). Aquacul u e species ypically ha e an amenable amily s uc u e o high- esolu ion linkage maps, due o he high ecundi y esul ing in la ge ull and hal sibling amilies. Linkage maps can also be used in conjunc ion wi h physical e e - ence genome sequences o de ec a ia ion in ecombina- ion a es ac oss he genome, wi h implica ions o downs eam applica ions (e.g. LD be ween ma ke s and QTL in associa ion mapping s udies). Mapping QTL associa ed wi h ai s o economic impo ance The a e o applica ion o genomic echnology o aquacul- u e species ends o e lec he deg ee o scien i ic and comme cial in e es o hose species. This is ypically mo i- a ed by he in e es o unde s anding he gene ic basis o economically-impo an p oduc ion ai s, o example g ow h, disease esis ance o sex de e mina ion. Resea ch- e s wo king in he high- alue salmonid species we e amongs he i s o exploi RAD-Seq echniques, e alua - ing esis ance o di e en pa hogens causing high economic losses, including in ec ious panc ea ic nec osis in A lan ic salmon (Hous on e al. 2012), and in ec ious hema opoi- e ic nec osis (Campbell e al. 2014) and bac e ial cold wa e disease (Campbell e al. 2014; Liu e al. 2015a; Pal i e al. 2015b) in ainbow ou . Based on ea ly successes, and gi en he impo ance o disease esis ance o mode n aquacul u e b eeding p og ammes (Y a~ nez e al. 2014), la ge-scale p ojec s ha e been es ablished o apply RAD-like echniques o de ec ma ke s, and e en ually he genes and causal mu a ions in ol ed, o imp o ing esis ance. Fo example, he Eu opean Union unded FISHBOOST p ojec (www. ishboos .eu) is using RAD sequencing echniques o geno ype se e al housand animals om la ge-scale disease challenge expe imen s in ainbow ou , common ca p, Eu opean sea bass, gil head sea b eam (Spa us au a a) and u bo . These geno ype and pheno ype da a will be used o es ima e gene ic pa ame e s, map disease esis ance QTL and e alua e genomic p edic ion app oaches o disease esis ance b eeding. In addi ion o disease esis ance, RAD-Seq associa ion s udies ha e been widely applied o mapping QTL a ec - ing a ange o o he p oduc ion- ele an ai s, pa icula ly in salmonid species. These include spleen size (Liu e al. 2015a) and co isol esponse (Liu e al. 2015b) in ainbow ou , and he mal ole ance and g ow h in Onco hynchus ne ka, he sockeye salmon (La son e al. 2016). Ou wi h he salmonid gene a, RAD-Seq has been pe o med o map loci a ec ing disease esis ance in oli e lounde (Pa aly- ch hys oli aceous, Shao e al. 2015), and g ow h in bighead ca p (Hypoph halmich hys nobilis,Fue al. 2016) and u - bo (Wang e al. 2015b). In addi ion, RAD-like echniques ha e been e y popula o ma ke disco e y and QTL mapping in bi al e shell ish including Chinese scallop (A gopec en i adians; Jiao e al. 2014), Akoya pea l oys e (Pinc a a uca a; Li & He 2014; Shi e al. 2014), a iously colou ed abalone (Halio is di e sicolo ; Ren e al. 2016; Yesso scallop (Pa inopec en yessoensis; Dou e al. 2016) and ha e also been applied in he sh imp ku uma p awn (Ma - supenaeus japonicas;Lue al. 2016) and one echinode m, he sea cucumbe (Apos ichopus japonicus; Tian e al. 2015). In e es ingly, 2b-RAD has been he mos common echnique in bi al es, while in in ish, adi ional RAD has been mo e widely u ilized. Using RAD o s udy sex de e mina ion Sex de e mina ion (SD) is one o he mos c i ical ai s o many aquacul u e species, as pheno ypic sex is o en no e i- den in ju eniles and sexual dimo phism in g ow h a e is commonly obse ed. SD is complex in many ish species, o en wi h polygenic con ol and an en i onmen al compo- nen ( e iewed in Ma  ınez e al. 2014), and he applica ion o la ge geno yping p ojec s has been s ongly ecommended o sc een o SD loci in ish (e.g. Pan e al. 2016). RAD-like echniques ha e clea ly boos ed ou knowledge o SD in aquacul u e, wi h s udies in Nile ilapia (Palaiokos as e al. 2013a, 2015a), A lan ic halibu (Hippoglossus hippoglossus, Palaiokos as e al. 2013b), Eu opean sea bass (Palaiokos as e al. 2015b) and u bo (Wang e al. 2015b) inding pu a i e sex de e mining loci. Con olling sex a io is no only in e - es ing o ob ain highe g ow h a es, bu also o a oid size dispe sion o o delay sexual ma u i y. Fu he , he e a e some clea examples, like he s u geon, whe e he comme cial ad an age o ea ing ish o one sex o e he o he is ob ious. Genomic selec ion app oaches While QTL mapping and MAS app oaches can be success- ul when he gene ic a chi ec u e o a ai sugges s a gene o majo e ec (e.g. IPNV esis ance, Hous on e al. 2008; Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 676 D. Robledo e al. Moen e al. 2009), imp o emen o polygenic ai s using genomic da a is mo e e ec i ely achie ed using genomic p edic ion o b eeding alues (Meuwissen e al. 2001). S udies o genomic selec ion in aquacul u e we e i s ca - ied ou in salmonid ish, wi h simula ed (Sonesson & Meuwissen 2009; Lillehamme e al. 2013) and empi ical (Ødeg  a d e al. 2014; Tsai e al. 2015, 2016b; Vallejo e al. 2016) da a, demons a ing he clea ad an ages o e pedi- g ee-based me hods. S udies using a ying ma ke densi ies o p edic ion in salmonids ha e highligh ed ha as ew as a housand SNPs may be adequa e o achie ing he gain in selec ion accu acy e sus pedig ee app oaches (Ødeg  a d e al. 2014; Tsai e al. 2015, 2016b). The e o e, i is eason- able o assume ha RAD-like echniques may be use ul o genomic selec ion in aquacul u e b eeding, as ypical RAD SNP da ase s comp ise a ew housand SNPs. Indeed, he po en ial o his app oach has al eady been highligh ed o esis ance o bac e ial cold wa e disease in ainbow ou (Vallejo e al. 2016), o g ow h in Yesso scallop (Dou e al. 2016), and o esis ance o pas eu ellosis in gil head sea b eam (Palaiokos as e al. 2016). Gene ic aceabili y and aquacul u e sus ainabili y One o he main conce ns o aquacul u e p oduce s and consume s is o minimize he en i onmen al impac o ish a ming. In his sense, aceabili y ools a e essen ial o assess he impac o aquacul u e escapees in na u al popula ions o dis inguish be ween a med and wild specimens. RAD-Seq has been u ilized o ob ain SNPs o s u geon aceabili y and conse a ion (Ogden e al. 2013), which will con ibu e o en o ce cu en legisla ion on aquacul u e and ishing p ac ices bu also aid on he handling o wild s ocks, c i ical o sus ainable aquacul u e. RAD-Seq is also he main ool o he Eu opean p ojec AquaT ace (aqua ace.eu), he esul s o which ha e been ecen ly p esen ed in he Eu o- pean Aquacul u e Socie y mee ing in Edinbu gh (Aquacul- u e Eu ope 2016). One o he AquaT ace objec i es was o assess he impac o escapees on na u al popula ions o Eu opean sea bass, gil head sea b eam and u bo , while also de eloping o ensically alida ed ools o aceabili y pu - poses. The esul s highligh ed he u ili y o RAD-Seq app oaches o cap u e popula ion o amily speci ic a ia ion making i a sui able ool o gene ic aceabili y and conse - a ion o na u al popula ions. This is o he ou mos impo - ance o sus ainable aquacul u e g ow h, leading o las ing economic bene i s, ood sa e y and social accep ance. RAD-Seq and SNP a ays, owa ds a peace ul co- exis ence The de elopmen o NGS has g ea ly inc eased he amoun o genomic esou ces a ailable in he mos impo an aquacul u e species, including genome assemblies o many o hem. Alongside RNA-Seq and whole genome sequenc- ing, RAD-Seq has con ibu ed signi ican ly o he a ailabil- i y o abundan gene ic ma ke s compa ed o a ew yea s ago. While RAD-Seq and simila echniques a e likely o emain he geno yping me hod o choice o species wi h ew genomic esou ces, se e al medium and high-densi y SNP a ays a e al eady a ailable o aquacul u e species (A lan ic salmon, Hous on e al. 2014; Y a~ nez e al. 2016; channel ca ish, Liu e al. 2014; common ca p, Xu e al. 2014a; ainbow ou , Pal i e al. 2015a; Paci ic oys e and Eu opean la oys e , Lap egue e al. 2014), and many mo e a e unpublished o cu en ly being p oduced and alida ed. Single nucleo ide polymo phism a ays a e a ype o DNA mic oa ay, whe e hyb idiza ion o allele-speci ic p obes esul s in a luo escen signal which can be mea- su ed o call a geno ype in a gi en loci. They ha e bo h ad an ages and disad an ages o e RAD-Seq app oaches (Table 3). Fo ins ance, he expe imen al p ocedu es and bioin o ma ic analyses a e much simple o he use o SNP a ays, equi ing less echnical knowledge and usually esul ing in a as e u na ound. The geno ype sco ing me hod is mo e obus and amenable o au oma ion, and he e o e less p one o e o s (Hong e al. 2012; Wall e al. 2014). The epea abili y and ep oducibili y a e highe o SNP a ays han RAD-Seq, and geno yped loci a e known in ad ance. Howe e , ha ing a ixed se o loci on he chip is also a disad an age, especially in species wi h s ong pop- ula ion s uc u e, because o asce ainmen bias whe eby he SNP se is biased o polymo phic ma ke s in he disco - e y popula ion(s). This p esen s a majo issue whe e aqua- cul u e s ains o a speci ic species a e highly a iable, and he u ili y o a SNP a ay will a y hugely depending on he ela ionship o he disco e y popula ion. RAD-like app oaches o e come his issue and also o e much g ea e lexibili y o he esea che in e ms o he a ge ed numbe o loci. Fu he , RAD-Seq cap u es a ia ion ha is speci ic o popula ions, amilies and indi iduals ha is likely o be missed om SNP a ay, which a e ypically biased owa ds common a ian s. Ano he pu a i e ad an age o RAD-like Table 3 Gene al compa ison o es ic ion-si e associa ed DNA sequencing (RAD-Seq) and single nucleo ide polymo phism (SNP) chips RAD-Seq SNP a ays Sample p ocessing Labo ious S aigh o wa d Bioin o ma ic analysis Complex Negligible Tu na ound ime Long Medium Accu acy Medium-high High Repea abili y Medium High Design Adjus able Fixed Cos Low Medium Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 677 RAD sequencing in aquacul u e echniques is ha he di ec cos o he expe imen is cheape , al hough he addi ional ime equi ed o lib a y p epa a ion and bioin o ma ics analyses should be consid- e ed in o any compa ison. In he nea u u e, genomic selec ion (GS) is likely o be a key echnique o b eeding p og ammes o many aquacul u e species, due o he demons able inc ease in selec ion accu acy e sus cu en pedig ee-based me hods. SNP a ays a e now ou inely used in li es ock b eeding p og ammes o GS and a e inc easingly u ilized in ech- nologically ad anced aquacul u e b eeding. Se e al s udies ha e shown ha only mode a e SNP ma ke densi y is equi ed o e ec i e GS in salmon (Ødeg  a d e al. 2014; Tsai e al. 2015, 2016b). Vallejo e al. (2016) compa ed bo h RAD-Seq and SNP a ays o GS o BCWD esis- ance in ainbow ou , inding simila selec ion accu a- cies o bo h echniques despi e highe ma ke densi y om he SNP chip (~40k SNP a ay e sus ~10k RAD- Seq). This may e lec high le els o linkage disequilib- ium in ypical aquacul u e amily selec ion p og ammes, whe eby ai eco ding is o en pe o med on close ela- i es o he selec ion candida es. The e o e, he highe ma ke densi y associa ed wi h SNP chips may be ad an- ageous when p edic ing b eeding alues in animals mo e dis an ly ela ed o he aining popula ion (Tsai e al. 2016b), o in species wi h g ea e e ec i e popula ion sizes and/o lowe le els o linkage disequilib ium. Howe e , gi en he ela i ely sho genomes o many nonsalmonid aquacul u e species (i.e. Eu opean sea bass –~763 Mb, o u bo –~658 Mb; A lan ic salmon –~2970 Mb), he ypical ma ke densi y gene a ed by RAD-like echniques may be pe ec ly adequa e o e ec- i e GS. Howe e , his needs o be es ed, as he ecombi- na ion equency and pa e ns o linkage disequilib ium ac oss he genome a e pe inen o he ques ion o ade- qua e ma ke densi y. Fu he educ ions in ma ke den- si y equi emen s a e likely o be obse ed when geno ype impu a ion app oaches a e used, o example geno yping pa en s a high densi y, and o sp ing o a small subse o he ma ke s. As al eady men ioned, RAD me hods allow o subs an ial lexibili y in e ms o numbe o geno yped ma ke s. In addi ion, lowe ing a e age sequence co e age in he o sp ing wi h pa en s sequenced a high co e age could be used o gene a e geno ype da a a a much lowe cos . Ta ge ed GBS echniques Bo h RAD-Seq and SNP a ays will also ha e o com- pe e wi h ecen ly de eloped geno yping me hods based on a ge ed geno yping by sequencing. Fo example, geno yping-in- housands by sequencing (GT-Seq, Camp- bell e al. 2015) is a me hod o a ge ed sequencing which ollows a mul iplex PCR app oach, whe e hun- d eds o housands o loci (amplicons) a e selec ed o geno yping. In his me hod, a mul iplex PCR using loci-speci ic p ime s ha also con ain Illumina sequenc- ing p ime s is used o ampli y he a ge ed egions. Unique ba codes o each sample a e added wi h a sec- ond PCR eac ion, ollowed by pooling and sequencing o samples. Unlike RAD echniques, his me hod equi es p e ious knowledge o design he assays, and he numbe o SNPs geno yped in a single un is limi ed o a ew housand. Simila echnologies a e now p o ided by majo geno yping echnology p o ide s, and i appea s likely o become one o he mos cos -e ec i e sys ems o geno yping a ge ed SNPs. O he GBS a ge ed-sequen- cing echniques ha e also been ecen ly de eloped, o example RAD cap u e (Rap u e), whe e p eselec ed RAD ags a e isola ed using cap u e p obes and hen sequenced (Ali e al. 2016). These a ge ed GBS echniques ha e he po en ial o become majo playe s in aquacul u e b eed- ing and gene ics due o hei simplici y and lexibili y. Howe e , in pa , hey su e om he same limi a ion as SNP a ays ha hey equi e p io knowledge and selec- ion o he SNPs ha a e use ul in he popula ion o in e es . Fu u e ou look Res ic ion-si e associa ed DNA sequencing echniques ha e d i en a majo inc ease in he applica ion o genomics o aquacul u e species. While he ca alogue o SNP a ays o aquacul u e species will inc ease in he coming yea s, i is likely ha RAD echniques will con inue o be widely applied. We an icipa e ha bo h echniques will co-exis o se e al yea s, and he choice o RAD-Seq o SNP chip will depend on he species and p ojec -speci ic ac o s. Fo example, i may be ha high- alue aquacul u e species wi h la ge genomes (e.g. salmonids) a e mo e sui able o SNP a ays, while lowe - alue species wi h smalle genomes (and/o highe le els o LD) a e mo e sui able o RAD echniques, al hough i will also depend on he esou ces a ailable o each pa icula p ojec . Ta ge ed GBS ech- niques like GT-Seq a e likely o ind a niche in geno yping hund eds o se e al housands o p e iously iden i ied SNPs ac oss many samples. Fu he , RAD echniques a e likely o emain he gold s anda d o new aquacul u e spe- cies and/o hose p oduced on a smalle scale, whe e SNP a ays a e no a ailable, and genomic esou ces a e sca ce. E en ually he cos o gene a ing and analysing sequence da a may d op o a le el whe e genome complexi y educ- ion is no longe equi ed, bu i seems unlikely in he sho e m. The e o e, RAD sequencing will con inue o lou ish in aquacul u e esea ch in he ollowing yea s and is likely o be ou inely applied o deli e he bene i s o genomic Re iews in Aquacul u e (2018) 10, 670–682 ©2017 The Au ho s. Re iews in Aquacul u e Published by Wiley Publishing Asia P y L d 678 D. Robledo e al.