diversity in the breadfruit complex (artocarpus, moraceae...
TRANSCRIPT
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ORIGINAL PAPER
Diversity in the breadfruit complex (Artocarpus, Moraceae):genetic characterization of critical germplasm
Nyree Zerega & Tyr Wiesner-Hanks & Diane Ragone &Brian Irish & Brian Scheffler & Sheron Simpson & Francis Zee
Received: 29 August 2014 /Revised: 7 October 2014 /Accepted: 2 December 2014# Springer-Verlag Berlin Heidelberg 2015
Abstract Breadfruit (Artocarpus altilis, Moraceae) is a tradi-tional staple crop in Oceania and has been introduced through-out the tropics. This study examines important germplasmcollections of breadfruit and its closest wild relatives and aimsto (1) characterize genetic diversity, including identification ofunknown and duplicate accessions, (2) evaluate genetic struc-ture and hybridization within the breadfruit complex, and (3)compare utility of microsatellite markers to previously report-ed amplified fragment length polymorphism (AFLP) and iso-zyme markers in differentiating among cultivars. Data for 19microsatellite loci were collected for 349 individuals
(representing 255 accessions) including breadfruit (A. altilis),two wild relatives (Artocarpus camansi and Artocarpusmariannensis) , and putat ive hybrids (A. alt i l is ×A. mariannensis). Accessions were of mixed ploidy and re-gional origin, but predominantly from Oceania. Microsatelliteloci collectively had a polymorphic information content (PIC)of 0.627 and distinguished 197 unique genotypes sorted into129 different lineages, but a single genotype accounts for49 % of all triploid breadfruit examined. Triploid hybridsand diploid A. altilis exhibited the highest levels of diversityas measured by allele number and gene diversity. Most acces-sions (75 %) of unknown origin matched either a knowngenotype or lineage group in the collection. Putative hybridsall had genetic contributions from A. mariannensis but rangedin the level of genetic contribution from A. altilis. Microsat-ellite markers were found to be more informative than iso-zyme markers and slightly less informative, with regard toaccession discrimination, than AFLP markers. This set ofmicrosatellite markers and the dataset presented here will bevaluable for breadfruit germplasm management andconservation.
Keywords Breadfruit .Artocarpus . Germplasmconservationmanagement . Microsatellites . Plant geneticresources . Underutilized crops
Introduction
Breadfruit (Artocarpus altilis (Parkinson) Fosberg, Moraceae)is a traditional staple in Oceania and has many uses rangingfrom construction, medicine, and animal feed to insect repel-lent (Ragone 1997; Jones et al. 2011). However, it is princi-pally grown as a starch food crop and is an important compo-nent of agroforestry systems. Breadfruit has been recognizedas a crop with great potential for increasing food security and
Communicated by W. Ratnam
Electronic supplementary material The online version of this article(doi:10.1007/s11295-014-0824-z) contains supplementary material,which is available to authorized users.
N. Zerega (*) : T. Wiesner-HanksPlant Biology and Conservation, Northwestern University, Evanston,IL 60208, USAe-mail: [email protected]
N. ZeregaDepartment of Plant Science, Chicago Botanic Garden, Glencoe,IL 60022, USA
D. RagoneBreadfruit Institute, National Tropical Botanical Garden, Kalaheo,HI 96741, USA
B. IrishTropical Agriculture Research Station, USDA-ARS,Mayagüez 00680, Puerto Rico
B. Scheffler : S. SimpsonGenomics and Bioinformatics Research Unit, USDA-ARS,Stoneville, MS 38776-0350, USA
F. ZeePacific Basin Agricultural Research Center (PBARC), USDA-ARS,Hilo, HI 96720, USA
Tree Genetics & Genomes (2015) 11:4 DOI 10.1007/s11295-014-0824-z
http://dx.doi.org/10.1007/s11295-014-0824-z
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alleviating malnutrition in Oceania, the Caribbean, tropicalAfrica, and beyond (Wootton and Tumaalii 1984; Morton1990; Adebowale et al. 2005; Omubuwajo 2007; Roberts-Nkrumah 2007; Taylor et al. 2009; Jones et al. 2011). Itproduces large starchy compound fruits with high yields andhigh levels of minerals and provitamin A carotenoids ascompared to other important staples like wheat, maize, andrice (Jones et al. 2011, 2013). Although most cultivars pro-duce fruit from August to January, growing a set of cultivarswith diverse fruit-bearing seasons could allow for year-roundharvest of nutrient-rich fruit (Fownes and Raynor 1991; Joneset al. 2010, 2013). Since Europeans first encountered bread-fruit in the Pacific nearly 400 years ago (Markham 1904), asmall number of cultivars have been introduced to tropicalregions throughout the tropics, including the Caribbean (Pow-ell 1977; Leakey 1977; Roberts-Nkrumah 2007), Africa(Omubuwajo 2007), and India (Ragone 1997). The geneticdiversity and importance of breadfruit, however, remaingreatest in Oceania, where breadfruit was domesticated(Zerega et al. 2004, 2005, 2006).
Breadfruit’s wild relatives have been identified asArtocarpus camansi Blanco and Artocarpus mariannensisTrécul, and hybrids also exist (Fosberg 1960; Zerega et al.2004, 2005). Over millennia, Pacific Islanders have select-ed and named hundreds of traditional cultivars based onfruiting season, fruit shape, color and texture of the fleshand skin, presence or absence of seeds, flavor, cooking andstorage qualities, leaf shape, and horticultural needs (Wil-der 1928; Ragone 1997). Cultivars include vegetativelypropagated seedless triploids, vegetatively or seed-propagated fertile diploids, and diploid and triploid hybrids(Ragone 2001, 2007; Zerega et al. 2004). Over 2000 nameshave been collected for breadfruit cultivars in Oceania,where breadfruit was domesticated (Ragone 1991). Be-cause names are typically based on morphological traitsof the tree and fruit, which may be environmentally influ-enced across islands (Ragone and Wiseman 2007), andbecause the same name may be used for different typesor different names may be used for the same type, geneticcharacterization of cultivars is important.
To help conserve, study, and improve breadfruit, manygermplasm collections have been assembled over the lastseveral decades throughout the tropics (Ragone 1997).Most cultivars are seedless, and even when seeds arepresent, they are recalcitrant and cannot be dried, frozen,or stored, so collections must be maintained as livingtrees in field genebanks. This is a time-consuming andexpensive task, and for this reason, many collections areno longer being maintained (Ragone 1997). Understand-ing the genetic diversity of collections is critical forinformed germplasm management and prioritizing con-servation efforts and is an important step in the increasedutilization of this crop.
The largest and most extensive collection of breadfruit ishoused at the Breadfruit Institute at the National TropicalBotanical Garden (NTBG). It contains breadfruit, hybrids,and wild relatives from throughout Oceania and beyond (Ta-ble 1, see also Online Resource 1 and www.http://ntbg.org/breadfruit). USDA-ARS National Plant Germplasm System(NPGS) repositories (Pacific Basin Agricultural ResearchCenter (PBARC) in Hilo, HI, and Tropical Agriculture Re-search Station (TARS) in Mayagüez, Puerto Rico) includeduplicates from NTBG as well as some additional uniqueaccessions (http://www.ars-grin.gov/npgs/acc/acc_queries.html) (Table 1). This study analyzed the accessions from theseimportant breadfruit collections. Previous genetic diversitystudies conducted on a subset of these collections used iso-zymes (Ragone 1991) and amplified fragment length poly-morphism (AFLPs) (Zerega et al. 2004, 2005, 2006). Thepresent study characterized 349 breadfruit individuals andwild congeners from the NTBG and NPGS collections using19 microsatellite loci (Witherup et al. 2013) in order to (1)characterize genetic diversity, including identification of un-known and replicate accessions, (2) evaluate genetic structureand hybridization within the breadfruit complex, and (3) com-pare microsatellite utility to AFLP and isozyme markers inassessing breadfruit diversity and differentiating amongcultivars.
Methods and materials
Plant materials
Leaf tissue samples from 349 individuals (representing 255accessions) were collected on silica for 229 A. altilis, 70A. altilis×A. mariannensis hybrids, 36 A. camansi, and 14A. mariannensis specimens. Samples came from the followingsites: NTBG (Kahanu Garden, Maui, and the McBryde,Allerton, and Limahuli Gardens in Kauai, HI), USDA-ARS,TARS, and USDA-ARS, PBARC (Table 1). Provenance lo-calities were predominantly in Oceania (Fig. 1, Table 1).Taxon name, cultivar name, and additional provenance infor-mation are also publicly available for most of the accessionsthrough NTBG (http://ntbg.org/breadfruit/database) and theARS’s Germplasm Resources Information Network (GRIN)databases (http://www.ars-grin.gov/npgs/acc/acc_queries.html). An accession number was frequently represented byonly one tree; however, in some cases, multiple individualswere represented from the same base accession number (thesix-digit number preceding the decimal point). If individualsshared the same base accession number, it indicated thatthey were either vegetatively propagated from the sameparent tree or that they were grown from seed from thesame mother tree.
4 Page 2 of 26 Tree Genetics & Genomes (2015) 11:4
http://www.http//ntbg.org/breadfruithttp://www.http//ntbg.org/breadfruithttp://www.ars-grin.gov/npgs/acc/acc_queries.htmlhttp://www.ars-grin.gov/npgs/acc/acc_queries.htmlhttp://ntbg.org/breadfruit/databasehttp://www.ars-grin.gov/npgs/acc/acc_queries.htmlhttp://www.ars-grin.gov/npgs/acc/acc_queries.html
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Tab
le1
Accession
dataforspecim
ensused
instudy
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
TARS6732
11
3nTA
RS
Mayaguez
Plot2
2Unk
Caribbean
Barbados
H4
Aa
890472.001
11
3nNTBG
Kahanu
W4
Enua
EPoly
CookIslands
H4
Aa
890472.002
11
3nNTBG
Kahanu
U4
Enua
EPoly
CookIslands
H4
Aa
900256.001
11
3nNTBG
Kahanu
T3
Enua
EPoly
CookIslands
H4
Aa
HART56
11
3nHART
Hilo
Kahaluu
EPoly
Haw
aii
H4
Aa
070101.001
11
3nNTBG
Kahanu
O10
Ulu
EPo
lyHaw
aii
H4
Aa
070882.002
11
3nNTBG
McB
ryde
AU2
Ulu
EPoly
Haw
aii
H4
Aa
090739.001
11
3nNTBG
Lim
ahuli
LM1
Ulu
EPo
lyHaw
aii
H4
Aa
100346.001
11
3nNTBG
Allerton
AG4
Ulu
EPo
lyHaw
aii
H4
Aa
100347.001
11
3nNTBG
Allerton
AG1
Ulu
EPo
lyHaw
aii
H4
Aa
100348.001
11
3nNTBG
Allerton
AG2
Ulu
EPo
lyHaw
aii
H4
Aa
100349.001
11
3nNTBG
Allerton
AG3
Ulu
EPo
lyHaw
aii
H4
Aa
970274.001
11
3nNTBG
McB
ryde
CG1
Ulu
EPoly
Haw
aii
H4
Aa
900240.001
11
3nNTBG
Kahanu
M8
Meikauhiva
EPoly
Marquesas
H4
Aa
900238.001
11
3nNTBG
Kahanu
F5
Meikiiahi
EPoly
Marquesas
H4
Aa
890462.001
11
3nNTBG
Kahanu
U2
Meipuau
EPo
lyMarquesas
H4
Aa
HART23
(900237)
11
3nHART
Hilo
Meipuou
EPoly
Marquesas
H4
Aa
780332.001
11
3nNTBG
Kahanu
33Aarue
EPoly
Society
Islands
H4
Aa
040051.001
11
3nNTBG
McB
ryde
McB
8Afara
EPo
lySo
cietyIslands
H4
Aa
780325.001
11
3nNTBG
Kahanu
32Afara
EPoly
Society
Islands
H4
Aa
910267.001
11
3nNTBG
Kahanu
V8
Afara
EPoly
Society
Islands
H4
Aa
780333.001
11
3nNTBG
Kahanu
30Ahani
EPoly
Society
Islands
H4
Aa
900249.002
11
3nNTBG
Kahanu
I8Anahonaho
EPoly
Society
Islands
H4
Aa
890157.001
11
3nNTBG
Kahanu
42Apu
EPoly
Society
Islands
H4
Aa
HART29
(890157)
11
3nHART
Hilo
Apu
EPoly
Society
Islands
H4
Aa
900232.001
11
3nNTBG
Kahanu
A7
Atu
EPoly
Society
Islands
H4
Aa
890147.001
11
3nNTBG
Kahanu
21Aue
EPoly
Society
Islands
H4
Aa
890147.002
11
3nNTBG
Kahanu
L7
Aue
EPoly
Society
Islands
H4
Aa
780335.001
11
3nNTBG
Kahanu
23Aum
eeEPoly
Society
Islands
H4
Aa
780330.001
11
3nNTBG
Kahanu
56Fafai
EPoly
Society
Islands
H4
Aa
890154.001
11
3nNTBG
Kahanu
Y1
Ham
oaEPoly
Society
Islands
H4
Aa
HART32
(890154)
11
3nHART
Hilo
Ham
oaEPoly
Society
Islands
H4
Aa
780291.001
11
3nNTBG
Kahanu
47Havanapataitai
EPo
lySo
cietyIslands
H4
Aa
900245.001
11
3nNTBG
Kahanu
G8
Huero
EPoly
Society
Islands
H4
Aa
890150.001
11
3nNTBG
Kahanu
Y8
Ioio
EPo
lySo
cietyIslands
H4
Aa
HART42
(890150)
11
3nHART
Hilo
IoIo
EPo
lySo
cietyIslands
H4
Aa
890149.001
11
3nNTBG
Kahanu
46Mam
aha
EPo
lySo
cietyIslands
H4
Tree Genetics & Genomes (2015) 11:4 Page 3 of 26 4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
890464.001
11
3nNTBG
Kahanu
P7
Ouo
EPoly
Society
Islands
H4
Aa
780328.001
11
3nNTBG
Kahanu
14Puaa
EPo
lySo
cietyIslands
H4
Aa
890460.001
11
3nNTBG
Kahanu
T6
Puaa
EPo
lySo
cietyIslands
H4
Aa
900244.001
11
3nNTBG
Kahanu
S8
Puaa
EPo
lySo
cietyIslands
H4
Aa
HART18
(900244)
11
3nHART
Hilo
Puaa
EPo
lySo
cietyIslands
H4
Aa
HART16
11
3nHART
Hilo
Puero
EPoly
Society
Islands
H4
Aa
890152.001
11
3nNTBG
Kahanu
W1
Puurea
EPoly
Society
Islands
H4
Aa
890152.002
11
3nNTBG
Kahanu
S7
Puurea
EPoly
Society
Islands
H4
Aa
780329.001
11
3nNTBG
Kahanu
29Rare
EPo
lySo
cietyIslands
H4
Aa
040518.001
11
3nNTBG
McB
ryde
McB
14Rareautia
EPoly
Society
Islands
H4
Aa
780345.001
11
3nNTBG
McB
ryde
BB1
Raumae
EPoly
Society
Islands
H4
Aa
780338.001
11
3nNTBG
Kahanu
51Tapehaa
EPoly
Society
Islands
H4
Aa
100370.001
11
3nNTBG
Lim
ahuli
LM3
Tuutou
EPoly
Society
Islands
H4
Aa
900246.001
11
3nNTBG
Kahanu
H7
Tuutouauena
EPo
lySo
cietyIslands
H4
Aa
900247.001
11
3nNTBG
Kahanu
I6Tuutouooa
EPoly
Society
Islands
H4
Aa
890186.001
11
3nNTBG
Kahanu
Z2
Tuutoutaatoe
EPoly
Society
Islands
H4
Aa
890186.002
11
3nNTBG
Kahanu
B7
Tuutoutaatoe
EPoly
Society
Islands
H4
Aa
890165.001
11
3nNTBG
Kahanu
Z3
Meichon
Micro
Chuuk,F
SMH
4
Aa
HART51
(890165)
11
3nHART
Hilo
Meichon
Micro
Chuuk,F
SMH
4
Aa
890162.001
11
3nNTBG
Kahanu
X4
Lem
aeMicro
Mariana
Islands
H4
Aa
890159.001
11
3nNTBG
Kahanu
X5
Meriaur
Micro
Palau
H4
Aa
HART35
(890159)
11
3nHART
Hilo
Meriaur
Micro
Palau
H4
Aa
890478.001
11
3nNTBG
Kahanu
R5
Meikalak
Micro
Pohnpei,FS
MH
4
Aa
890478.002
11
3nNTBG
Kahanu
O4
Meikalak
Micro
Pohnpei,FS
MH
4
Aa
790497.002
11
3nNTBG
Kahanu
49Meinuwe
Micro
Pohnpei,FS
MH
4
Aa
890167.001
11
3nNTBG
Kahanu
41Meisaip
Micro
Pohnpei,F
SMH
4
Aa
890167.002
11
3nNTBG
Kahanu
R6
Meisaip
Micro
Pohnpei,F
SMH
4
Aa
890479.001
11
3nNTBG
Kahanu
Q7
Meisei
Micro
Pohnpei,FS
MH
4
Aa
890479.002
11
3nNTBG
Kahanu
O7
Meisei
Micro
Pohnpei,FS
MH
4
Aa
030033.001
11
3nNTBG
McB
ryde
McB
16Meitehid
Micro
Pohnpei,FS
MH
4
Aa
910273.002
11
3nNTBG
Kahanu
G9
Meitehid
Micro
Pohnpei,FS
MH
4
Aa
910271.001
11
3nNTBG
Kahanu
D9
Meiuhpw
Micro
Pohnpei,F
SMH
4
Aa(A
a×Am)
890480.003
11
3nNTBG
Kahanu
R8
Lipet2
Micro
Pohnpei,FS
MH
4
Aa
810290.002
11
3nNTBG
Kahanu
45White
Seychelles
Seychelles
H4
Aa
Unknown
11
3nTA
RS
Mayaguez
Plot1
8Unk
Unk
(Epoly
orMicro)
Unknown
H4
Aa
910290.001
11
3nNTBG
Kahanu
L10
Unk
04Unk
(Epoly
orMicro)
Unknown
H4
Aa
910287.001
11
3nNTBG
Kahanu
R9
Unk
09Unk
(Epoly
orMicro)
Unknown
H4
4 Page 4 of 26 Tree Genetics & Genomes (2015) 11:4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
910286.001
11
3nNTBG
Kahanu
T8
Unk
11Unk
(Epoly
orMicro)
Unknown
H4
Aa
800269.001
13
3nNTBG
Kahanu
36Mahani
EPo
lySo
cietyIslands
H4
Aa
TARS17990
13
3nTA
RS
Mayaguez
Plot5
Samoa
WPo
lySamoa
H4
Aa
900242.001
15
3nNTBG
Kahanu
B8
Meikopumoko
EPoly
Marquesas
H4
Aa
HART28
(900242)
15
3nHART
Hilo
Meikopumoku
EPoly
Marquesas
H4
Aa
900249.001
15
3nNTBG
Kahanu
I7Anahonaho
EPoly
Society
Islands
H4
Aa
030028.001
15
3nNTBG
McB
ryde
McB
13White
Seychelles
Seychelles
H4
Aa
810290.001
15
3nNTBG
Kahanu
43White
Seychelles
Seychelles
H4
Aa
810290.003
15
3nNTBG
Kahanu
48White
Seychelles
Seychelles
H4
Aa
810290.004
15
3nNTBG
McB
ryde
BB3
White
Seychelles
Seychelles
H4
Aa
810289.001
15
3nNTBG
McB
ryde
BB2
Yellow
Seychelles
Seychelles
H4
Aa
810289.002
15
3nNTBG
Kahanu
38Yellow
Seychelles
Seychelles
H4
Aa
890158.001
16
3nNTBG
Kahanu
Z6
Apuapua
EPoly
Society
Islands
H4
Aa
890158.002
16
3nNTBG
Kahanu
H8
Apuapua
EPoly
Society
Islands
H4
Aa
HART34
(890158)
16
3nHART
Hilo
Apuapua
EPoly
Society
Islands
H4
Aa
900243.001
17
3nNTBG
Kahanu
D7
Araarahaari
EPo
lySo
cietyIslands
H4
Aa
780330.002
19
3nNTBG
Kahanu
40Fafai
EPoly
Society
Islands
H4
Aa
100369.001
19
3nNTBG
Lim
ahuli
LM2
Fafai(unk)
EPoly
Society
Islands
H4
Aa
890162.002
114
3nNTBG
Kahanu
S4
Lem
aeMicro
Mariana
Islands
H4
Aa
HART38
(890162)
114
3nHART
Hilo
Lem
aeMicro
Mariana
Islands
H4
Aa
890459.001
115
3nNTBG
Kahanu
R7
Maire
EPoly
Society
Islands
H4
Aa
HART44
(890459)
115
3nHART
Hilo
Maire
EPoly
Society
Islands
H4
Aa
HART54
(890459)
115
3nHART
Hilo
Maire
EPoly
Society
Islands
H4
Aa
900267.001
115
3nNTBG
Kahanu
N8
Maire
(unk
05)
EPoly(unk)
SocietyIslands(unk)
H4
Aa
890459.002
116
3nNTBG
Kahanu
J7Maire
EPoly
Society
Islands
H4
Aa
900262.001
117
3nNTBG
Kahanu
M6
Manua
WPo
lySam
oaH
4
Aa
900241.001
118
3nNTBG
Kahanu
F6
Meiaueka
EPo
lyMarquesas
H4
Aa
900239.001
119
3nNTBG
Kahanu
T5
Meimaoi
EPoly
Marquesas
H4
Aa
HART11
(900239)
119
3nHART
Hilo
Meimaoi
EPoly
Marquesas
H4
Aa
900237.001
120
3nNTBG
Kahanu
B6
Meipuou
EPoly
Marquesas
H4
Aa
080439.001
123
3nNTBG
Kahanu
Heiau1
Ulu
EPoly
Haw
aii
H4
Aa
080858.001
123
3nNTBG
Kahanu
CG3
Ulu
EPo
lyHaw
aii
H4
Aa
080863.001
123
3nNTBG
Kahanu
CG8
Ulu
EPo
lyHaw
aii
H4
Aa
080881.001
123
3nNTBG
Kahanu
CG11
Ulu
EPoly
Haw
aii
H4
Aa
070132.001
123
3nNTBG
Kahanu
CG1
Ulu
EPo
lyH
4
Aa
080440.001
123
3nNTBG
Kahanu
Heiau2
Ulu
EPoly
H4
Aa
890159.002
123
3nNTBG
Kahanu
V4
Meriaur
Micro
Palau
H4
Tree Genetics & Genomes (2015) 11:4 Page 5 of 26 4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
000534.001
123
3nNTBG
Kahanu
GG4
Meikalaken
meikuet
Micro
Pohnpei,FS
MH
4
Aa
790493.001
125
3nNTBG
Kahanu
4Meitehid
Micro
Pohnpei,FS
MH
4
Aa
HART57
127
3nHART
Hilo
PoahomoPrickly
EPoly
H4
Aa
030035.001
132
3nNTBG
McB
ryde
McB
7Otea
EPoly
Society
Islands
H4
Aa
780327.001
132
3nNTBG
Kahanu
39Otea
EPo
lySo
cietyIslands
H4
Aa
910266.001
136
3nNTBG
Kahanu
H9
Piip
iiaEPoly
Society
Islands
H3
Aa
30037.001
137
3nNTBG
McB
ryde
McB
10Porohiti
EPoly
Society
Islands
H4
Aa
790486.001
138
3nNTBG
Kahanu
20Roihaa
EPo
lySo
cietyIslands
H4
Aa
890465.001
139
3nNTBG
Kahanu
V7
Teahim
atoa
EPoly
Society
Islands
H4
Aa
HART40
(890465)
139
3nHART
Hilo
Teahim
atoa
EPoly
Society
Islands
H4
Aa
070882.001
142
3nNTBG
McB
ryde
AU1
Ulu
EPoly
Haw
aii
H4
Aa
080859.001
143
3nNTBG
Kahanu
CG4
Ulu
EPo
lyHaw
aii
H4
Aa
080864.001
144
3nNTBG
Kahanu
CG9
Ulu
EPo
lyHaw
aii
H4
Aa
080864.002
144
3nNTBG
Kahanu
CG10
Ulu
EPoly
Haw
aii
H4
Aa
900268.001
146
3nNTBG
Kahanu
E4
Unk
01Unk
Unknown
H4
Aa
900225.001
148
3nNTBG
Kahanu
S5
Unk
10Unk
Unknown
H4
Aa
890148.001
150
3nNTBG
Kahanu
Y6
Meipuou
(unk
14)
EPoly
Marquesas
(Society)
H4
Aa
070883.001
152
3nNTBG
McB
ryde
Pump6
Unk
EPoly
Unknown
H4
Aa
910265.001
169
3nNTBG
Kahanu
V9
Rotum
aEPo
lySo
cietyIslands
H4
Aa
Unknown
22
3nTA
RS
Mayaguez
Plot11
Unk
Epoly
(unk)
SocietyIslands(unk)
G3
Aa
890151.001
210
3nNTBG
Kahanu
X7
Fafai
EPoly
Society
Islands
G3
Aa
880690.001
213
3nNTBG
Kahanu
P8
Kea
WPo
lyTo
nga
G3
Aa
890153.002
233
3nNTBG
Kahanu
2Paea
EPoly
CookIslands
G3
Aa
890463.001
234
3nNTBG
Kahanu
V3
Patara
EPo
lySo
cietyIslands
G3
Aa
890463.002
234
3nNTBG
Kahanu
G6
Patara
EPo
lySo
cietyIslands
G3
Aa
HART33
(890463)
234
3nHART
Hilo
Patara
EPo
lySo
cietyIslands
G3
Aa
790485.001
234
3nNTBG
Kahanu
16Puupuu
EPoly
Society
Islands
G3
Aa
790491.001
234
3nNTBG
Kahanu
13Tuutou
EPoly
Society
Islands
G3
Aa
900236.001
34
3nNTBG
Kahanu
D6
Abareba
Mela
Solomon
Islands
C3
Aa
HART45
(890186)
48
3nHART
Hilo
Tuutou
EPoly
Society
Islands
F4/1
Aa
HART30
(900245)
612
2nHART
Hilo
Huero
EPoly
Society
Islands
E3
Aa
900266.001
721
3nNTBG
Kahanu
M5
Meiarephe
Micro
Pohnpei,F
SMD
4
Aa
900266.002
721
3nNTBG
Kahanu
E5
Meiarephe
Micro
Pohnpei,F
SMD
4
Aa
000531.001
824
3nNTBG
Kahanu
58Meipw
etMicro
Pohnpei,F
SMD
4
Aa
030042.001
1140
3nNTBG
McB
ryde
McB
11To
neno
EPoly
Society
Islands
F4
Aa
790488.001
1141
3nNTBG
Kahanu
12To
neno
EPoly
Society
Islands
F4
Aa
30044.001
1245
3nNTBG
Offsite
Offsite
Ulu
tala
WPo
lySam
oaE
3
4 Page 6 of 26 Tree Genetics & Genomes (2015) 11:4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
770524.001
1245
3nNTBG
Kahanu
54Ulu
tala
WPo
lySamoa
E3
Aa
910288.001
1347
3nNTBG
Kahanu
Q8
Uto
vula(unk
08)
Mela(unk)
Fiji(unk)
F2
Aa
890476.002
1351
3nNTBG
Kahanu
S6Uto
vula
Mela
Fiji
F2
Aa
020354.001
2576
2nNTBG
Kahanu
KM1
Aveloloa
WPo
lySamoa
G3
Aa
910278.001
2677
2nNTBG
Kahanu
M9
Forari
Mela
Vanuatu
E3
Aa
910279.001
26103
2nNTBG
Kahanu
E9
Siviri2
Mela
Vanuatu
E3
Aa
910279.002
26103
2nNTBG
Kahanu
C8
Siviri2
Mela
Vanuatu
E3
Aa
890470.002
2778
2nNTBG
Kahanu
N5
Furau
Mela
Rotum
aG
2
Aa
040063.001
2778
2nNTBG
McB
ryde
McB
15Ulu
fiti
Mela
Rotum
aG
2
Aa
890258.001
2778
2nNTBG
Kahanu
35Ulu
fiti
Mela
Rotum
aG
2
Aa
890458.001
2778
2nNTBG
Kahanu
T4
Ulu
fiti
Mela
Rotum
aG
2
Aa
890458.002
2778
2nNTBG
Kahanu
Q4
Ulu
fiti
Mela
Rotum
aG
2
Aa
900368.001
2778
2nNTBG
Kahanu
C4
Ulu
fiti
Mela
Rotum
aG
2
Aa
970236.001
2778
2nNTBG
Kahanu
AA4
Ulu
fiti
Mela
Rotum
aG
2
Aa
890469.002
2778
2nNTBG
Kahanu
S3Kukum
utasi
Mela
Solom
onIslands
G2
Aa
020353.001
2778
2nNTBG
Kahanu
KM5
Unk
18W
Poly
Sam
oaG
2
Aa
020353.002
2778
2nNTBG
Kahanu
KM4
Unk
18W
Poly
Sam
oaG
2
Aa
900260.001
27110
2nNTBG
Kahanu
K7
Ulu
fiti,
Sam
oan
Mela
Rotum
aG
2
Aa
900260.002
27110
2nNTBG
Kahanu
K5
Ulu
fiti,
Sam
oan
Mela
Rotum
aG
2
Aa
890470.001
2879
2nNTBG
Kahanu
V6
Furau
Mela
Rotum
aG
2
Aa
890469.001
2879
2nNTBG
Kahanu
V1
Kukum
utasi
Mela
Solom
onIslands
G2
Aa
HART26
2980
2nHART
Hilo
G.W
ilder-Brash
EPoly
E3
Aa
900248.001
3081
2nNTBG
Kahanu
G5
Huero
ninamu
EPo
lySo
cietyIslands
E3
Aa
890461.001
3089
2nNTBG
Kahanu
W2
Meikakano
EPo
lyMarquesas
E3
Aa
890461.002
3089
2nNTBG
Kahanu
C7
Meikakano
EPo
lyMarquesas
E3
Aa
HART21
(890461)
3089
2nHART
Hilo
Meikakano
EPoly
Marquesas
E3
Aa
890457.001
3182
2nNTBG
Kahanu
W5
Karaw
aMela
Rotum
aG
2
Aa
020356.001
3182
2nNTBG
Kahanu
KM7
Ulu
fiti
Mela
Rotum
aG
2
Aa
900265.001
3283
2nNTBG
Kahanu
C5
Karaw
aMela
Fiji
F2
Aa
900224.001
3283
2nNTBG
Kahanu
U7
Karaw
a(unk
12)
Mela(unk)
Fiji(unk)
F2
Aa
900234.001
32102
2nNTBG
Kahanu
N6
Samoan1
Mela
Fiji
F2
Aa
070659.021
3384
2nNTBG
McB
ryde
CHC1
Ma’afala
WPo
lySam
oaE
3
Aa
070659.022
3384
2nNTBG
McB
ryde
HQ1
Ma’afala
WPo
lySam
oaE
3
Aa
770517.001
3384
2nNTBG
Kahanu
55Ma’afala
WPo
lySam
oaE
3
Aa
HART1
3385
2nHART
Hilo
Ma’afala
E3
Aa
890454.001
3393
2nNTBG
Kahanu
W6
Niue
EPoly
CookIslands
E3
Aa
900231.001
3393
2nNTBG
Kahanu
L6
Niue
EPoly
CookIslands
E3
Tree Genetics & Genomes (2015) 11:4 Page 7 of 26 4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
890153.001
3393
2nNTBG
Kahanu
25Niue(Paea)
EPoly
CookIslands
E3
Aa
900259.001
3486
2nNTBG
Kahanu
C6
Malphang
Mela
Vanuatu
G3
Aa
890473.001
3587
2nNTBG
Kahanu
U5
Manang
Mela
Vanuatu
E3
Aa
900263.001
3688
2nNTBG
Kahanu
J8Masee
WPo
lySamoa
E3
Aa
890156.001
3790
2nNTBG
Kahanu
Y4
Tahitian
EPoly
CookIslands
E3
Aa
890156.002
3790
2nNTBG
Kahanu
W7
Tahitian
EPoly
CookIslands
E3
Aa
890477.001
3790
2nNTBG
Kahanu
R4
Uto
samoa
Mela
Fiji
E3
Aa
910275.001
3790
2nNTBG
Kahanu
K8
Puou
Mela
Vanuatu
E3
Aa
960575.001
3790
2nNTBG
McB
ryde
LF1
Mos
enSamoa
Micro
Kosrae
E3
Aa
070246.002
3790
2nNTBG
Kahanu
61Meiuhpw
enSamoa
Micro
Pohnpei,FS
ME
3
Aa
030039.001
3790
2nNTBG
McB
ryde
McB
17Pu
ouW
Poly
Sam
oaE
3
Aa
770520.001
3790
2nNTBG
Kahanu
53Pu
ouW
Poly
Sam
oaE
3
Aa
890474.001
3798
2nNTBG
Kahanu
U6
Puou
WPo
lySam
oaE
3
Aa
910289.001
3798
2nNTBG
Kahanu
O9
Puou
(unk
06)
Wpoly
(unk)
Samoa
(unk)
E3
Aa
880691.001
3799
2nNTBG
Kahanu
O8
Puou
WPo
lyTo
nga
E3
Aa
770519.001
3891
2nNTBG
Kahanu
57Mom
olega
WPo
lySam
oaE
3
Aa
HART50
(890469)
3992
2nHART
Hilo
Kukum
uTasi
Mela
Solom
onIslands
C3
Aa
910266.002
4094
2nNTBG
Kahanu
F8Piipiia
EPoly
Society
Islands
E4
Aa
790492.001
4195
2nNTBG
Kahanu
9Porohiti
EPoly
Society
Islands
C1
Aa
900261.001
4296
2nNTBG
Kahanu
F7Samoan2
Mela
Fiji
G2
Aa
900261.002
4296
2nNTBG
Kahanu
P9Samoan2
Mela
Fiji
G2
Aa
890471.001
4296
2nNTBG
Kahanu
W3
Uto
dina
Mela
Fiji
G2
Aa
890471.002
4296
2nNTBG
McB
ryde
MV4
Uto
dina
Mela
Fiji
G2
Aa
900233.002
4296
2nNTBG
Kahanu
8Pulupulu
Mela
Rotum
aG
2
Aa
900233.001
4297
2nNTBG
Kahanu
J6Pu
lupulu
Mela
Rotum
aG
2
Aa
900226.001
42114
2nNTBG
Kahanu
P5
Unk
07Mela(unk)
Fiji(unk)
G2
Aa
020352.001
42117
2nNTBG
Kahanu
KM3
Unk
17W
Poly
Samoa
G2
Aa
900264.001
42121
2nNTBG
Kahanu
A8
Uto
niviti
Mela
Fiji
G2
Aa
900257.001
43100
2nNTBG
Kahanu
A6
Rauulu
Mela
Rotum
aF
2
Aa
890475.002
44101
2nNTBG
Kahanu
S9Sagosago
WPo
lySamoa
E3
Aa
910276.001
45104
2nNTBG
Kahanu
K9
Siviri3
Mela
Vanuatu
E3
Aa
910277.001
46105
2nNTBG
Kahanu
E8
Tedailir
Mela
Vanuatu
G3
Aa
900281.001
47106
2nNTBG
Kahanu
P4Tehelewa
Mela
Solomon
Islands
C3
Aa
900281.002
47107
2nNTBG
Kahanu
D4
Tehelewa
Mela
Solomon
Islands
C3
Aa
890456.001
48108
2nNTBG
Kahanu
T7
Toro
Mela
Solomon
Islands
C3
Aa
770521.001
49109
2nNTBG
Kahanu
52Ulu
eaW
Poly
Tokelau
E3
Aa
890155.001
50111
2nNTBG
Kahanu
17Ulu
sina
WPo
lySam
oaE
3
4 Page 8 of 26 Tree Genetics & Genomes (2015) 11:4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa
890155.002
50111
2nNTBG
Kahanu
K6
Ulu
sina
WPo
lySam
oaE
3
Aa
900235.001
52113
2nNTBG
Kahanu
L5
Unk
03Mela
Solomon
Islands
E3
Aa
020347.001
53115
2nNTBG
Kahanu
KM2
Unk
15W
Poly
Samoa
C3
Aa
020348.001
54116
2nNTBG
Kahanu
KM8
Unk
16W
Poly
Samoa
C3
Aa
020355.001
55118
2nNTBG
Kahanu
KM6
Unk
19W
Poly
Samoa
E3
Aa
020498.001
56119
2nNTBG
Kahanu
59Unk
21Mela
Solomon
Islands
F3
Aa
020500.001
57120
2nNTBG
Kahanu
60Unk
22Mela
Solom
onIslands
F3
Aa×
Am
HART37
(890160)
48
3nHART
Hilo
Ebechab
Micro
Palau
F4/1
Aa×
Am
890183.001
426
3nNTBG
Kahanu
Y3
Midolab
Micro
Palau
0.735(0.579–0.863)
F4/1
Aa×
Am
890183.003
426
3nNTBG
McB
ryde
MV3
Midolab
Micro
Palau
0.752(0.586–0.883)
F4/1
Aa×
Am
(Aa)
HART46
(890183)
426
3nHART
Hilo
Midolab
Micro
Palau
0.845(0.693–0.953)
F4/1
Aa×
Am
890183.002
467
3nNTBG
Kahanu
L8
Midolab
Micro
Palau
0.775(0.615–0.9)
F4/1
Aa×
Am
(Aa)
790487.001
511
3nNTBG
Kahanu
27Unk
(Huehue)
Micro
(EPo
ly)
Pohnpei,F
SM(Society)
0.722(0.566–0.853)
D5
Aa×
Am
HART52
(890480)
529
3nHART
Hilo
Lipet
Micro
Pohnpei,F
SM0.76
(0.59–0.894)
D4
Aa×
Am
(Aa)
790489.001
535
3nNTBG
Kahanu
1Unk
(Piip
iia)
Micro
(EPoly)
Pohnpei,FS
M(Society)
0.768(0.617–0.887)
D4
Aa×
Am
030034.001
554
3nNTBG
McB
ryde
McB
9Meinpadahk
Micro
Pohnpei,F
SM0.768(0.617–0.887)
D4
Aa×
Am
030034.002
554
3nNTBG
McB
ryde
McB
18Meinpadahk
Micro
Pohnpei,F
SM0.251(0.115–0.433)
D4
Aa×
Am
790494.001
554
3nNTBG
Kahanu
Z9
Meinpadahk
Micro
Pohnpei,F
SM0.752(0.586–0.883)
D4
Aa×
Am
030041.001
555
3nNTBG
McB
ryde
McB
20Rotum
aEPo
lySo
cietyIslands
0.773(0.625–0.89)
D5/4
Aa×
Am
890163.002
561
3nNTBG
Kahanu
U9
Lem
aeMicro
Mariana
Islands
0.802(0.652–0.915)
D5/4
Aa×
Am
890163.001
562
3nNTBG
Kahanu
X2
Lem
aeMicro
Mariana
Islands
0.802(0.652–0.915)
D4
Aa×
Am
890480.001
563
3nNTBG
Kahanu
O6
Lipet
Micro
Pohnpei,F
SM0.694(0.5–0.856)
D4
Aa×
Am
890480.002
563
3nNTBG
Kahanu
N7
Lipet
Micro
Pohnpei,F
SM0.812(0.668–0.92)
D4
Aa×
Am
910270.001
564
3nNTBG
Kahanu
D8
Lipet
Micro
Pohnpei,F
SM0.27
(0.131–0.451)
D4
Aa×
Am
890467.001
566
3nNTBG
Kahanu
W9
Meinpwuht
Micro
Pohnpei
0.845(0.693–0.953)
D4
Aa×
Am
790490.001
568
3nNTBG
Kahanu
15Rotum
aEPo
lySo
cietyIslands
0.775(0.615–0.9)
D5/4
Aa×
Am
910272.001
928
3nNTBG
Kahanu
F9
Meinpohnsakar
Micro
Pohnpei,F
SM0.734(0.573–0.867)
D5
Aa×
Am
910272.002
928
3nNTBG
Kahanu
E6
Meinpohnsakar
Micro
Pohnpei,F
SM0.719(0.562–0.85)
D5
Aa×
Am
HART49
(910272)
928
3nHART
Hilo
Meinpohnsakar
Micro
Pohnpei,F
SM0.815(0.667–0.924)
D5
Aa×
Am
HART53
(910274)
1030
3nHART
Hilo
Nahnm
wal
Micro
Pohnpei,FS
M0.768(0.601–0.898)
D4
Aa×
Am
910274.001
1031
3nNTBG
Kahanu
Q10
Nahnm
wal
Micro
Pohnpei,FS
M0.804(0.647–0.922)
D4
Aa×
Am
980210.001
1553
3nNTBG
Kahanu
EE3
Ebechab
Micro
Palau
0.768(0.617–0.887)
F4
Aa×
Am
890160.001
1558
3nNTBG
Kahanu
X8
Ebechab
Micro
Palau
0.736(0.575–0.866)
F4
Aa×
Am
910652.001
1559
3nNTBG
Kahanu
U8
Errud
Micro
Palau
0.792(0.644–0.905)
F4
Aa×
Am
910268.001
1656
3nNTBG
Kahanu
J9Meion
Micro
Chuuk,F
SM0.85
(0.701–0.955)
D4
Aa×
Am
990781.001
1656
3nNTBG
McB
ryde
LF2
Meion
(unk)
Micro
Pohnpei,FS
M0.798(0.637–0.919)
D4
Aa×
Am
030045.001
1757
3nNTBG
McB
ryde
McB
19Yap
Micro
Palau
0.804(0.647–0.922)
F4
Tree Genetics & Genomes (2015) 11:4 Page 9 of 26 4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa×
Am
900250.001
1774
3nNTBG
Kahanu
A5
Yap
Micro
palau
0.845(0.693–0.953)
F4
Aa×
Am
910269.001
1860
3nNTBG
Kahanu
A9
Faine
Micro
Chuuk,F
SM0.768(0.617–0.887)
D4
Aa×
Am
900255.001
1965
3nNTBG
Kahanu
B5
Meinpwahr
Micro
Pohnpei,FS
M0.773(0.625–0.89)
D5
Aa×
Am
890164.001
2070
3nNTBG
Kahanu
22Sewan
Micro
Chuuk,F
SM0.717(0.553–0.853)
D4
Aa×
Am
890164.002
2070
3nNTBG
Kahanu
T9
Sewan
Micro
Chuuk,F
SM0.491(0.319–0.667)
D4
Aa×
Am
890468.002
2171
3nNTBG
Kahanu
L9
Tebukiraro
Micro
Kiribati
0.555(0.378–0.726)
D4
Aa×
Am
890453.001
2272
3nNTBG
Kahanu
Q5
Ulu
afa
WPo
lyTo
kelau
0.356(0.2–0.539)
D5
Aa×
Am
890185.001
2373
3nNTBG
Kahanu
28Ulu
elise
WPo
lyTo
kelau
0.428(0.264–0.607)
D5
Aa×
Am
890161.001
2475
3nNTBG
Kahanu
19Yuley
Micro
Yap
0.783(0.629–0.902)
F4/5
Aa×
Am
890452.001
58122
2nNTBG
Kahanu
U3
Temai
Micro
Kiribati
0.926(0.791–0.997)
D5
Aa×
Am
890184.001
59123
2nNTBG
Kahanu
10Luthar
Micro
Yap
0.263(0.127–0.44)
C5
Aa×
Am
900253.002
60124
2nNTBG
Kahanu
J5Meichocho
Micro
Chuuk,F
SM0.254(0.122–0.427)
D5
Aa×
Am
900253.001
61125
2nNTBG
Kahanu
Q6
Meichocho
Micro
Chuuk,F
SM0.204(0.085–0.378)
D5
Aa×
Am
890166.001
62126
2nNTBG
Kahanu
Y7
Meikoeng
Micro
Chuuk,F
SM0.768(0.617–0.887)
D5
Aa×
Am
890466.002
63127
2nNTBG
Kahanu
Q9
Meikoeng
Micro
Chuuk,F
SM0.752(0.586–0.883)
D5
Aa×
Am
890177.003
64128
2nNTBG
Kahanu
3Ulu
afa
WPo
lyTo
kelau
0.491(0.319–0.667)
D5
Aa×
Am
890178.001
65129
2nNTBG
Kahanu
26Ulu
afa
WPo
lyTo
kelau
0.366(0.212–0.543)
D5
Aa×
Am
890177.001
66130
2nNTBG
Kahanu
31Ulu
afa
WPo
lyTo
kelau
0.649(0.469–0.807)
D5
Aa×
Am
890172.001
67131
2nNTBG
Kahanu
37Ulu
afa
WPo
lyTo
kelau
0.432(0.266–0.611)
D5
Aa×
Am
890179.001
68132
2nNTBG
Kahanu
44Ulu
afa
WPo
lyTo
kelau
0.462(0.293–0.64)
D5
Aa×
Am
890257.001
69133
2nNTBG
Kahanu
X3
Ulu
afa
WPo
lyTo
kelau
0.213(0.095–0.376)
D5
Aa×
Am
890171.001
70134
2nNTBG
Kahanu
X6
Ulu
afa
WPo
lyTo
kelau
0.628(0.465–0.776)
D5
Aa×
Am
890176.001
71135
2nNTBG
Kahanu
Z8
Ulu
afa
WPo
lyTo
kelau
0.527(0.351–0.702)
D5
Aa×
Am
890174.001
72136
2nNTBG
Kahanu
18Ulu
afa
WPo
lyTo
kelau
0.274(0.14–0.446)
D5
Aa×
Am
890172.002
73137
2nNTBG
Kahanu
ZZ5
Ulu
afa
WPo
lyTo
kelau
0.429(0.265–0.608)
D5
Aa×
Am
890176.002
74138
2nNTBG
Kahanu
ZZ8
Ulu
afa
WPo
lyTo
kelau
0.588(0.409–0.757)
D5
Aa×
Am
890168.002
75139
2nNTBG
Kahanu
ZZ9
Ulu
afa
WPo
lyTo
kelau
0.814(0.644–0.934)
D5
Aa×
Am
890177.002
76140
2nNTBG
Kahanu
5Ulu
afa1
WPo
lyTo
kelau
0.622(0.442–0.787)
D5
Aa×
Am
890171.002
77141
2nNTBG
Kahanu
7Ulu
afa2
WPo
lyTo
kelau
0.556(0.379–0.728)
C5/3
Aa×
Am
890181.002
78142
2nNTBG
Kahanu
B4
Ulu
afa3
WPo
lyTo
kelau
0.554(0.377–0.726)
D5
Aa×
Am
890181.001
79143
2nNTBG
Kahanu
Z4
Ulu
afa4
WPo
lyTo
kelau
0.491(0.32–0.668)
D5
Aa×
Am
890173.001
80144
2nNTBG
Kahanu
11Ulu
afaelise
WPo
lyTo
kelau
0.685(0.505–0.839)
D5
Aa×
Am
890173.002
81145
2nNTBG
Kahanu
ZZ7
Ulu
afaelise
WPo
lyTo
kelau
0.428(0.264–0.607)
D5
Aa×
Am
890175.001
81147
2nNTBG
Kahanu
34Ulu
afahamoa
WPo
lyTo
kelau
0.429(0.264–0.607)
D5
Aa×
Am
890182.002
81149
2nNTBG
Kahanu
ZZ6
Ulu
elise2
WPo
lyTo
kelau
0.554(0.377–0.725)
D5
Aa×
Am
900230.001
82146
2nNTBG
Kahanu
6Ulu
afahamoa
WPo
lyTo
kelau
0.511(0.359–0.664)
C5
Aa×
Am
890182.001
83148
2nNTBG
Kahanu
X9
Ulu
elise1
WPo
lyTo
kelau
0.651(0.471–0.811)
D5
4 Page 10 of 26 Tree Genetics & Genomes (2015) 11:4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Aa×
Am
890180.001
84150
2nNTBG
Kahanu
24Ulu
hamoa
WPo
lyTo
kelau
0.926(0.791–0.997)
D5
Aa×
Am
890170.002
85151
2nNTBG
Kahanu
ZZ3
Ulu
hamoa
WPo
lyTo
kelau
0.872(0.728–0.966)
D5
Aa×
Am
(Am)
000528.001
129
197
2nNTBG
Kahanu
AA5
Meikole
Micro
Pohnpei,FS
M0.064(0.01–0.188)
D5
Ac
TARS18009
86152
2nTA
RS
Mayaguez
Plot1
4Unk
Unk
A1
Ac
960576.001
86153
2nNTBG
McB
ryde
MV2
Breadnut
C.A
m.
Honduras
A1
Ac
770444.001
86153
2nNTBG
Kahanu
50Cam
ansi
Epoly
SocietyIslands
A1
Ac
980212.001
87154
2nNTBG
Kahanu
EE5
Cam
ansi
Micro
Palau
A1
Ac
910281.001
88155
2nNTBG
Kahanu
M10
Kam
ansi
Phil.
A1
Ac
000390.002
89156
2nNTBG
McB
ryde
McB
4Kapiak
Mela
Papua
New
Guinea
A1
Ac
000394.002
90157
2nNTBG
McB
ryde
McB
2Kapiak
Mela
Papua
New
Guinea
A1
Ac
000395.002
91158
2nNTBG
McB
ryde
McB
21Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000398.005
92159
2nNTBG
McB
ryde
McB
25Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000499.003
93160
2nNTBG
McB
ryde
McB
3Kapiak
Mela
Papua
New
Guinea
A1
Ac
000500.002
94161
2nNTBG
McB
ryde
McB
23Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000501.004
95162
2nNTBG
McB
ryde
McB
5Kapiak
Mela
Papua
New
Guinea
A1
Ac
000501.005
96163
2nNTBG
McB
ryde
McB
1Kapiak
Mela
Papua
New
Guinea
A1
Ac
000502.002
97164
2nNTBG
McB
ryde
McB
22Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000503.004
98165
2nNTBG
McB
ryde
McB
24Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000398.001
99166
2nNTBG
Kahanu
F10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000501.001
100
167
2nNTBG
Kahanu
F11
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000398.003
101
168
2nNTBG
Kahanu
H10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000399.001
102
169
2nNTBG
Kahanu
I10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000398.002
103
170
2nNTBG
Kahanu
K10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000502.001
104
171
2nNTBG
Kahanu
D10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000501.001
105
172
2nNTBG
Kahanu
EE4
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000499.001
106
173
2nNTBG
Kahanu
EE7
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000503.001
107
174
2nNTBG
Kahanu
E10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000499.002
108
175
2nNTBG
Kahanu
E11
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000395.001
109
176
2nNTBG
Kahanu
FF6
Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000390.001
110
177
2nNTBG
Kahanu
FF7
Kapiak
Mela
PapuaNew
Guinea
A1
Ac
000503.002
111
178
2nNTBG
Kahanu
G10
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000389.001
112
179
2nNTBG
Kahanu
GG3
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000398.004
113
180
2nNTBG
Kahanu
HH3
Kapiak
Mela
Papua
New
Guinea
A1
Ac
000500.001
114
181
2nNTBG
Kahanu
HH4
Kapiak
Mela
Papua
New
Guinea
A1
Ac
910280.001
115
182
2nNTBG
Kahanu
B9
Meikole
Micro
Pohnpei,FS
MA
1
Ac
HART63
116
183
2nHART
Hilo
N90-148
Malaysia
A1
Ac
910283.001
117
184
2nNTBG
Kahanu
R10
Tim
bul
Indonesia
A1
Tree Genetics & Genomes (2015) 11:4 Page 11 of 26 4
-
Tab
le1
(contin
ued)
Taxon
Accession
number
Lin
Gn
PlGC
GS
Grid
Cultiv
arRegion
Island
HybridIndex
UP
ST
Ac(A
a)890455.001
1449
2nNTBG
Kahanu
V5
Ulu
fatu
WPo
lySamoa
A1
Ac(A
a)900228.001
51112
2nNTBG
Kahanu
E7
Ulu
fatu
(unk
02)
WPo
lySam
oaA
1
Am
000523.002
118
185
2nNTBG
McB
ryde
McB
6Dugdug
Micro
Mariana
Islands
B5
Am
900252.001
119
186
2nNTBG
Kahanu
H5
Dugdug
Micro
Mariana
Islands
B5
Am
900252.002
120
187
2nNTBG
Kahanu
A4
Dugdug
Micro
Mariana
Islands
B5
Am
900252.003
120
187
2nNTBG
Kahanu
N9
Dugdug
Micro
Mariana
Islands
B5
Am
000522.002
121
188
2nNTBG
Kahanu
BB6
Dugdug
Micro
Mariana
Islands
B5
Am
000523.001
122
189
2nNTBG
Kahanu
CC4
Dugdug
Micro
Mariana
Islands
B5
Am
HART67
122
198
2nHART
Hilo
N05-8
Micro
B5
Am
000521.002
123
190
2nNTBG
Kahanu
CC5
Dugdug
Micro
Mariana
Islands
B5
Am
000521.001
124
191
2nNTBG
Kahanu
CC7
Dugdug
Micro
Mariana
Islands
B5
Am
000522.001
125
192
2nNTBG
Kahanu
DD5
Dugdug
Micro
Mariana
Islands
B5
Am
000521.003
126
193
2nNTBG
Kahanu
DD6
Dugdug
Micro
Mariana
Islands
B5
Am
940010.002
126
194
2nNTBG
McB
ryde
MV1
Dugdug
Micro
Mariana
Islands
B5
Am
970306.001
127
195
2nNTBG
Kahanu
CC3
Kurukiniti
Micro
Pohnpei,F
SMB
5
Am
970306.002
128
196
2nNTBG
Kahanu
DD4
Kurukiniti
Micro
Pohnpei,FS
MB
5
Taxon(A
a=A.altilis,A
c=A.cam
ansi,A
m=A.m
ariannensis,andAa×
Am=A.altilis×A.m
ariannensis),accession
number(N
TBGno.isgiveninparenthesesifthecollectionishoused
somew
hereelse
butisaduplicatefrom
NTBG),lin
eage
(lin),genotype
(gn),p
loidy(pl),g
ermplasm
code
(GC),germ
plasm
site(G
S),g
ridlocationwith
ingerm
plasm
(Grid),cultiv
arname(U
nk=unknow
n),regionof
provenance
(MelaMelanesia,M
icro
Micronesia,EPolyEastern
Polynesia,W
Poly,Western
Polynesia,P
hil.Philip
pines,C.A
m.C
entralAmerica,Unk
unknow
n),islandgroupof
provenance,hybridindex
forp
utativehybrids(num
berscloserto1indicategreatergeneticcontributio
nfrom
A.altilis,and
numberscloserto0indicategreatergeneticcontributio
nfrom
A.m
ariannensis),U
PGMA(U
P),and
STRU
CTURE(ST)clustersareprovided.For
anindividualtobe
assigned
toaST
RUCTUREcluster,itmusthavegreaterthan60
%lik
elihoodof
beingamem
bero
fthe
cluster.Ifan
individualisassigned
totwo
clusters,thatindividualhadless
than
60%
likelihoodof
beingamem
berof
asinglecluster.Ifaspeciesor
cultivaridentificationwas
changedas
aresultof
thestudy,theprevious
misidentificationis
indicatedin
parentheses.Fo
raccessions
thathadunknow
nprovenance
orname,thelik
elyidentificationisindicatedbasedon
lineage
and/or
genotype
match,and
“unk”isin
parentheses
4 Page 12 of 26 Tree Genetics & Genomes (2015) 11:4
-
DNA extraction and SSR marker analysis
DNA extraction, PCR amplification of 19 microsatellite loci,electrophoresis, and scoring of the samples were performed asdescribed in Witherup et al. (2013). Ploidy levels of someindividuals were known from chromosome squashes (Ragone2001). To assess ploidy in the other individuals, any individ-ual with three alleles at multiple microsatellite regions wasdesignated as triploid. Genotype-based ploidy assignment wasconsidered to be accurate, as the vast majority of knowntriploid individuals displayed three alleles for at least threeloci (deviations are discussed in “Results”). In addition, 174 ofthe individuals were known to be either seeded (indicatingdiploidy) or seedless (frequently indicating triploidy), andthese data matched ploidy assignments in virtually allinstances (deviations discussed in “Results”).
Data analyses
Resolving allele dosage in partial heterozygotes is challengingin triploid samples. The presence of two alleles at a givenlocus could signify either a genotype with allele x representedtwice or allele y represented twice (i.e., xxy vs. xyy). Variousmethods exist for estimating allele copy number, but they aremeant for samples with uniform, even-numbered ploidy and aknown selfing rate (Clark and Jasieniuk 2011; De Silva et al.2005), assume that either allele has an equal chance of beingpresent in two copies (Hardy and Vekemans 2002; Tomiuket al. 2009), or require data that can be normalized to completeheterozygotes (Esselink et al. 2004). Therefore, we did notimpute a third allele in the case of partial heterozygotes(McGregor et al. 2000; Mengoni et al. 2000; Creste et al.2004).
GenoDive (Meirmans and Van Tienderen 2004) was usedto calculate genetic diversity measures and genetic distance.Genetic distances were calculated using the Bruvo method, adistance measure suited to codominant marker data in popu-lations of mixed ploidy (Bruvo et al. 2004). UPGMA andneighbor-joining trees were then constructed using the neigh-bor program from PHYLIP package 3.69 (Felsenstein 2005)and visualized using FigTree 1.4.0. Analyses were run with all349 samples and also excluding hybrids. Principal componentanalysis was performed in GenoDive (Meirmans and VanTienderen 2004) and visualized using the ggplot2 visualiza-tion package for R (Wickham 2009).
The Bayesian clustering analysis software STRUCTUREv2.3.4 (Pritchard et al. 2000; Falush et al. 2007) was used tovisualize genetic structure and subdivisions (number of genet-ic clusters, K) among samples. In order to analyze the alleledata from both diploid and triploid samples simultaneously,the recessive alleles option in STRUCTURE was set to one toallow for ambiguity in genotypes, and diploid individualswere scored as missing data for the third allele. We carried
out 20 independent runs per K using a burn-in period of 100,000 and collected data for 100,000 iterations forK=1–15. Theminimum value of K that can explain the data was assessedusing the rate of change in the log likelihood probability ofdata between corresponding K values (DK) as detailed inEvanno et al. (2005).
The hybrid index, a quantitative estimate of the geneticcontribution of two parental species, was calculated for hybridcollections using GenoDive (Meirmans and Van Tienderen2004), extending the maximum likelihood approach ofBuerkle (2005) to include polyploid individuals.
GenoDive (Meirmans and Van Tienderen 2004) was usedto assign lineage groups and genotypes. Samples wereassigned the same genotype only if they were identical at allloci. Since allele dosage in triploids with two alleles could notbe reliably distinguished, any instances of such partial hetero-zygotes were considered identical, leading to a possible un-derestimation of unique genotypes. Samples were assignedthe same lineage group if the genotype of one could betransformed to the genotype of the other within a thresholdnumber of mutation steps. The threshold distance was setindependently for each ploidy level, since the triploids weremuch less diverse. Pairwise genetic distances clustered asexpected for both ploidy levels, with a distribution boundedat zero from those relationships that are putatively clonal and anormal distribution consisting of the distances between sib-lings. Thresholds were set to include all contiguous distancesgreater than 0 with frequency greater than 1. The lineagethreshold for triploids was set at 16, while the diploid thresh-old was set at 8.
The polymorphic information content (PIC) for each locuswas calculated as follows:
1−Xn
i¼1p2i −
Xn−1
i¼1
Xn
j¼1þ12p2i p
2j
where pi and pj are the frequency of two given alleles i and j(Botstein et al. 1980). In order to evaluate data from bothploidy levels concurrently, the allele frequency for a givenallele i was calculated as pi ¼ c12þci3N , where cin is the numberof occurrences of allele i among individuals with ploidy n andN is the number of all non-null alleles observed.
Results
Diversity characterization
When considering each taxon separately, the average numberof alleles across all 19 loci ranged from 1.74 in
Tree Genetics & Genomes (2015) 11:4 Page 13 of 26 4
-
A. mariannensis to 7.37 in diploid breadfruit (Table 2). Allelesper locus ranged from 1 (in MAA3 for all taxa exceptA. camansi) to 16 (in MAA201 for A. camansi), and acrossall taxa, the average number of alleles was 11.63, with a rangeof 2 (in MAA3) to 24 (in MAA201) (Table 2). Gene diversitywas greatest in triploid hybrids (He=0.62), followed by dip-loid A. altilis (He=0.61), triploid A. altilis (He=0.52),A. camansi (He=0.41), diploid hybrids (He=0.38), andA. mariannensis (He=0.18). Averaged across all taxa, genediversity was 0.44 (Table 2).
Lineage and genotype groups
The 349 individuals analyzed represented 197 distinct geno-types sorted into 129 lineages (Table 1). All lineage groupsand genotypes were comprised of individuals of the samespecies, with the exception of one lineage group (lineage 4)that included A. altilis as well as hybrids. Among the 189triploid individuals (representing 140 accessions of A. altilisand hybrids) there were 74 genotypes, 50 of which weresingletons present in only a single individual (Table 1).Among the 150 A. altilis triploid individuals (representing112 accessions), there were 42 genotypes sorted into 8 lineagegroups. However, there was a single dominant genotype
(genotype 1) that accounted for 75 individuals (representing62 accessions) and was part of lineage group 1, whichaccounted for 130 individuals (representing 111 accessions).The members of this lineage group have provenance fromEastern Polynesia and Micronesia, with a few from Barbados,the Seychelles, or of unknown provenance. Among the 39A. altilis×A. mariannensis triploid individuals (representing27 accessions), there were 30 genotypes sorted into 15 lineagegroups.
Compared to triploids, the diploid accessions were morereadily distinguishable from one another based on microsat-ellite profiles (Table 1). Among the 160 diploid individuals(representing 113 accessions across all four taxa), there were115 genotypes, 111 of which were represented by a singleindividual in the collection. The genotypes were sorted into106 lineages, 89 of which contained only one accession. Therewere no genotypes or lineages shared across different taxaamong the diploids. Among the 36 A. camansi individuals(representing 21 accessions), there were 35 genotypes sortedinto 34 lineage groups. Among the 14 A. mariannensis indi-viduals (representing 7 accessions), there were 13 genotypessorted into 11 lineage groups. Among the 79 A. altilis diploidindividuals (representing 63 accessions), there were 47 geno-types sorted into 33 lineage groups. Among the 31 diploid
Fig. 1 Map of collections used in the study. Inset in lower left showscollections outside of Oceania with sample size in parentheses. The areahighlighted in gray on the inset map is the focus of the larger Oceania
panel, which has island groups indicated and the following regionsoutlined: East Polynesia. West Polynesia, Micronesia, and Melanesia
4 Page 14 of 26 Tree Genetics & Genomes (2015) 11:4
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Tab
le2
Geneticdiversity
inbreadfruitandrelativ
esbasedon
19microsatelliteloci
Primer
A.altilis
N=231
A.altilis×A.m
ariannensisN=69
Diploid
N=79
TriploidN=152
Diploid
N=31
TriploidN=38
NA
ASR
He
NA
ASR
He
PIC(%
MD)
NA
ASR
He
NA
ASR
He
PIC
(%MD)
MAA3
1216
01
216
00(0)
1216
01
216
00(0)
MAA9
4153–173
0.1
5153–171
0.103
0.176(2.9)
4163–171
0.361
6161–171
0.602
0.375(3.2)
MAA40
8170–188
0.792
6180–192
0.52
0.579(0.3)
2182–186
0.032
3180–190
0.417
0.478(0)
MAA54a
9167–195
0.774
10173–195
0.583
0.657(0)
2173–187
0.228
4173–187
0.654
0.482(0.6)
MAA54b
3205–215
0.311
2207–215
0.5
0.309(0.8)
2205–207
0.032
3205–207
0.368
0.214(0)
MAA71
10154–184
0.808
8152–178
0.561
0.646(0.5)
4152–182
0.238
5152–182
0.694
0.516(1.3)
MAA85
7154–178
0.773
5154–164
0.54
0.573(2.1)
3154–164
0.448
4158–164
0.54
0.625(0.6)
MAA96
8176–214
0.785
6204–214
0.581
0.638(2.2)
4204–220
0.548
6204–220
0.751
0.717(1.3)
MAA122
9241–293
0.699
7277–295
0.71
0.750(0.2)
3285–291
0.404
6277–291
0.711
0.596(0)
MAA135
11258–300
0.804
10268–322
0.722
0.770(0.2)
7270–320
0.5
14268–328
0.846
0.770(0.6)
MAA145
9256–304
0.662
9262–328
0.538
0.595(0.9)
6282–328
0.698
8268–304
0.76
0.740(3.9)
MAA156
10273–307
0.523
6273–307
0.547
0.600(2.4)
4279–307
0.384
6277–309
0.692
0.730(1.3)
MAA178a
9207 –235
0.788
7209–229
0.549
0.582(10.7)
5209–229
0.582
8209–229
0.779
0.798(2.5)
MAA178b
9241–259
0.729
8241–259
0.558
0.563(1.7)
5241–253
0.706
6241–253
0.793
0.690(1.3)
MAA182
6182–214
0.526
7182–212
0.541
0.619(1.7)
5200–210
0.72
6182–210
0.72
0.719(1.9)
MAA201
9238–288
0.491
11262–294
0.704
0.773(1.1)
4262–278
0.585
9262–296
0.798
0.767(0.6)
MAA219
6247–277
0.708
5259–277
0.518
0.577(0.5)
4259–271
0.292
4259–277
0.413
0.595(0.6)
MAA287
9179–223
0.686
7179–215
0.546
0.501(1.1)
3183–211
0.153
5179–199
0.695
0.519(0)
MAA293
3158–166
0.591
5154–174
0.519
0.428(0.9)
3160–166
0.371
3160–166
0.646
0.485(2.5)
Average
7.368
0.608
6.579
0.518
0.544(1.6)
3.737
0.383
5.632
0.625
0.569(1.2)
A.cam
ansiN=36
A.m
ariannensisN=14
Overall
Primer
NA
ASR
He
PIC(%
MD)
NA
ASR
He
PIC(%
MD)
NA
PIC
(%MD)
He
MAA3
2216–218
0.08
0.077(0)
1216
00(0)
20.007(0)
0.02
MAA9
2161–171
0.131
0.077(0)
2164–168
0.423
0.238(0)
100.430(2.6)
0.305
MAA40
2180–182
0.106
0.054(0)
1182
00(0)
100.664(0.2)
0.271
MAA54a
8173–185
0.797
0.627(0)
1173
00(0)
120.712(0.1)
0.528
MAA54b
1207
00(0)
1207
00(0)
40.278(0.6)
0.186
MAA71
5154–160
0.322
0.245(0)
1152
00(0)
140.736(0.6)
0.41
MAA85
2156
0.081
0(0)
1162
00(0)
80.694(1.6)
0.366
MAA96
4208–218
0.666
0.534(0)
1204
00(0)
100.713(1.8)
0.513
MAA122
3279
0.055
0(0)
2289–291
0.349
0.218(0)
110.780(0.1)
0.448
MAA135
9278–302
0.806
0.603(0)
4280–326
0.64
0.221(0)
220.814(0.2)
0.75
MAA145
7268–320
0.522
0.424(0)
3282–304
0.071
0.166(0)
200.704(1.3)
0.518
MAA156
6257–279
0.724
0.579(0)
2281–307
0.254
0.178(0)
140.718(1.9)
0.549
Tree Genetics & Genomes (2015) 11:4 Page 15 of 26 4
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hybrid individuals (representing 22 accessions), there were 31genotypes sorted into 29 lineage groups.
Only a few lineages or genotypes were shared acrossregions. When considering only the breadfruit (A. altilis) andhybrids (A. altilis×A. mariannensis), one lineage was sharedacross all regions in Oceania (lineage 37); another lineage wasshared acrossWestern and Eastern Polynesia, Micronesia, andareas outside of Oceania (lineage 1); two lineages were sharedbetween Western and Eastern Polynesia (lineages 2 and 33),two lineages were shared across Eastern Polynesia and Mi-cronesia (lineages 4 and 5), and two lineages were sharedacross Western Polynesia and Melanesia (Lineages 27 and42) (Fig. 2a). When considering genotypes, one genotype(lineage 37/genotype 90) was shared across all regions inOceania; one genotype was shared across Micronesia andEastern Polynesia (lineage 1/genotype 23); one genotypewas shared across Eastern Polynesia, Micronesia, and areasoutside of Oceania (lineage 1/genotype 1); one genotype wasshared across Melanesia and Western Polynesia (lineage 27/genotype 78); one genotype was shared across Western andEastern Polynesia (lineage 1/genotype 3); and one genotypewas shared across Eastern Polynesia and areas outside ofOceania (lineage 1/genotype 5) (Fig. 2b).
Identification of unknowns
Twenty-eight accessions had unknown cultivar names, and 13of them were also of unknown provenance. Among the 28unknowns, 12 (43 %) shared identical genotypes to an acces-sion(s) with known provenance and cultivar name(s)(Table 1). Nine (32 %) of the unknown accessions shared alineage group but not a genotype with other known acces-sions, and seven (25 %) unknowns shared neither lineagenor genotypes with other accessions, suggesting they aregenetically unique within the collection.
Cultivar names
There were 136 different cultivar names recorded for thecultivated breadfruit and hybrids analyzed in this study. Halfof these names (68) were singletons, only represented by asingle individual. Among the other 68 names with multipleindividuals, 40 names were represented each by 2 individuals,16 names were represented each by 3 individuals, 5 nameswere represented each by 4 individuals, and 3 names wererepresented each by 5 individuals. There were four differentnames that were represented by 6, 7, 13, and 18 individuals.Only one name occurred in more than one island group withina region: Puou (Tonga and Samoa in Western Polynesia).Puou also occurred in Vanuatu (Melanesia), but this is knownto be an introduction from a Samoan variety. Of the 68 namesrepresented by more than 1 individual, only 33 names consis-tently shared the same genotypes with other individualsTa
ble2
(contin
ued)
MAA178a
5211–245
0.16
0.104(0)
2223–245
0.304
0.207(7.1)
140.741(8.1)
0.477
MAA178b
6241–257
0.621
0.519(3.0)
3251–255
0.588
0.367(7.1)
100.648(1.9)
0.661
MAA182
6182–210
0.785
0.712(0)
2202–204
0.304
0.201(0)
100.662(1.6)
0.604
MAA201
16268–312
0.925
0.808(0)
3266–276
0.405
0.274(0)
240.838(0.9)
0.695
MAA219
4256–277
0.607
0.461(0)
1260
00(0)
90.654(0.4)
0.405
MAA287
2179
0.028
0(0)
1183
00(0)
110.632(0.8)
0.319
MAA293
3162–166
0.319
0.214(0)
1160
00(0)
60.492(1.1)
0.363
Average
4.895
0.407
0.318(0.2)
1.737
0.176
0.109(1.4)
11.632
0.627(1.4)
0.441
Na,Num
berof
alleles;ASR
,allelesize
range(bp),H
e=expected
heterozygosity,P
IC(%
MD)=
polymorphicinform
ationcontent(%
missing
data.)
4 Page 16 of 26 Tree Genetics & Genomes (2015) 11:4
-
bearing the same name, and 24 of those 33 were members ofthe same base accession number. Eight of those 33 names allshared the most ubiquitous lineage group and genotype (1/1).The remaining nine names, represented by more than oneindividual and consistently sharing the same genotype, share
their respective genotypes across different base accessionnumbers: Afara, Enua, Mei chon, Meion, Meinpadahk, Niue,Otea, Puaa, and Ulu tala. Among the 75 individuals with theubiquitous genotype (lineage 1/genotype 1), 44 differentnames were represented.
250
500
1000
1500km
Genotype Distribution
B
250
500
1000
1500km
Lineage Distribution
A
East Polynesia (119)
East Polynesia (119)
West Polynesia (53)
West Polynesia (53)
Micronesia (66)
Micronesia (66)
Melanesia (41)
Melanesia (41)
Non-Oceania (Barbados-1/Seychelles-7)
Non-Oceania (Barbados-1/Seychelles-7)
Equator
Equator
Fig. 2 Distribution across Oceania of lineages and genotypes in A. altilisand A. altilis×A. mariannensis hybrids based on microsatellite data from19 loci. Pie charts show regional distributions of lineages (a) andgenotypes (b). Within a pie chart, solid gray shades indicate uniquegenotypes that are not shared across regions. Patterned wedges that are
pulled out indicate lineages or genotypes that are shared across regions.Arrows indicate shared lineages or genotypes across regions (thinarrows=one shared group and thick arrows indicate two sharedgroups). Patterened circles on the arrows indicate the wedge(s) sharedacross regions. Sample sizes for each region are indicated in parentheses
Tree Genetics & Genomes (2015) 11:4 Page 17 of 26 4
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Genetic distance
The results of the UPGMA and neighbor-joining analyseswere nearly identical and only the UPGMA tree is discussedhere. Analyses without hybrids resulted in each taxon makingup its own cluster with the A. camansi and A. altilis clusterstogether forming a larger cluster with the A. mariannensiscluster next to it (not shown). This is consistent with previousstudies based on AFLP (Zerega et al. 2005). In the UPGMAtree with all samples included, each taxon largely clusteredwith other members of the same taxon, with hybrids largelyclustered between A. altilis and A. mariannensis (Fig. 3). Allsamples identified as A. camansi clustered together with twospecimens (890455.001 of unknown provenance and900228.001 from Samoa) that had previously been classifiedas A. altilis. Upon closer examination of the two specimens,we determined that they share many characteristics withA. camansi and their identifications have been changed toA. camansi. The A. camansi cluster was split into twosmaller clusters, one cluster made up of samples fromPapua New Guinea and the other cluster made up of
samples from elsewhere. With the exception of one sam-ple (000528.001 from Pohnpei), all specimens previouslyidentified as A. mariannensis clustered together. Theexception was nested in a cluster containing mostly hy-brids as well as triploid and diploid A. altilis fromislands throughout Oceania. Upon close examination ofthe specimen, we determined that his accession shareshybrid characteristics with greater contribution fromA. mariannensis.
Principal component analysis
Plotting of the first two principal components of the microsat-ellite profiles shows segregation by species, with hybridsclustering to some degree between parental species (Fig. 4).When regional samples are analyzed separately, most Micro-nesian and Western Polynesian hybrids cluster between theparental species or cluster more closely to A. mariannensis(Fig. 5), and in Eastern Polynesia, hybrids cluster much moreclosely to A. altilis (Fig. 5).
Fig. 3 UPGMA tree of A. altilis, A. altilis×A. mariannensis, A. camansi,and A. mariannensis based on data from 19 microsatellite loci. Clustermembers are indicated in the legend. The area within cluster G that is inthe shaded gray circle is the 75 individuals belonging to the ubiquitous
lineage 1/genotype 1. The filled circle on the node in cluster A denotessamples from outside of Papua New Guinea and the open circle denotessamples from Papua New Guinea. Cluster designations are also includedin Table 1. Bar of Bruvo distance 0.03 shown for scale
4 Page 18 of 26 Tree Genetics & Genomes (2015) 11:4
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Hybrid index
Examining the hybrid index (h) across the 69 individualsidentified as hybrids based on morphological characters(Table 1) revealed a similar pattern evident from princi-pal component analysis (PCA). Individuals showinggreater contributions from A. mariannensis (h0.7) were predominantly from Micronesiaand Eastern Polynesia.
Structure
In the STRUCTURE analysis, the modal value of the distri-bution of the true K identified a peak at K=5, which wassupported by large shifts in L(K) and Ln’(K) from K=5 toK=6 associated with true value of K, as described in Evannoet al. (2005). All A. mariannensis individuals group togetheras do all the A. camansi individuals (Fig. 6). A. altilis speci-mens were subdivided into three groups that can generally becharacterized as Melanesian breadfruit (predominantly dip-loid), breadfruit from throughout Oceania (diploid and
triploid), and triploid breadfruit from Eastern Polynesia andMicronesia. Diploid Micronesian hybrids almost exclusivelyshared the same group as A. mariannensis, while triploidMicronesian hybrids were admixtures of A. mariannensisand the triploid Micronesian/Eastern Polynesian breadfruitgroups. Western Polynesian hybrids either had dominant con-tributions from A. mariannensis or were admixtures betweenA. mariannensis and the diploid/triploid trans-Oceania bread-fruit group. Some of the diploid hybrids from Western Poly-nesia and Micronesia only shared the A. mariannensis groupwith no apparent admixture with A. altilis.
Utility of microsatellite markers
The PIC of the microsatellite loci across all taxa ranged from0.007 to 0.838, with an average value of 0.627 (Table 2). Theextent to which each locus was informative varied by taxon,with loci generally being the most informative for A. altilisand hybrids. A codominant marker is generally classified ashighly informative if its PIC >0.5 (Botstein et al. 1980;Ghislain et al. 2004). Using this criterion, 15 markers werehighly informative within A. altilis, 13 within hybrids, 7within A. camansi, and none within A. mariannensis. If onlythe genotypes from the 10 most informative loci were ana-lyzed, 111 out of 123 unique diploid genotypes (90 %) and
Fig. 4 PCA results based on datafrom 19 microsatellite loci ofbreadfruit, hybrids, and wildrelatives from throughoutOceania. Taxon coding isindicated in the legend, and 95 %bivariate confidence intervalellipses are shown for taxonclustering
Tree Genetics & Genomes (2015) 11:4 Page 19 of 26 4
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100 % of 75 triploid genotypes could still be distinguished,and all taxa could be fully distinguished (i.e., no two acces-sions of different species shared the samemicrosatellite profilebased on these 10 markers). Only primer MAA3 had zerodistinguishing utility.
A previous study examined AFLP profiles of breadfruitand its relatives using three primer pairs across 313 individ-uals (Zerega et al. 2004), 181 of which were included in thepresent study. Among this 181 subset of individuals, 156distinct AFLP and 110 distinct microsatellite genotypes weredistinguished. Given the nature of the PIC equation,
comparing PICs between microsatellites and AFLPs is notinformative. Because AFLP fragments are not mutually ex-clusive, the information of an AFLP primer pair can changedrastically while the relative frequencies of fragments remainthe same. On the basis of number of markers, the AFLP assayswere generally more informative (Table 3).
Zymotypes established from the isozyme profiles of sixenzymes were available for 140 of the individuals character-ized here (Ragone 1991; Zerega et al. 2005). Among these140 individuals, there were 54 distinct zymotypes and 88distinct microsatellite genotypes. While the average enzyme
Fig. 5 PCA results based on data from 19 microsatellite loci ofbreadfruit, hybrids, and wild relatives from throughout Oceania.Samples were analyzed by region with A. mariannensis and A. camansi
included in each regional analysis. Taxon coding is indicated in thelegend, and 95 % bivariate confidence interval ellipses are shown fortaxon clustering
4 Page 20 of 26 Tree Genetics & Genomes (2015) 11:4
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was somewhat informative (Table 3), 51 of the 140 individ-uals shared the same zymotype profile. Zymotype profiles foroverlapping individuals were less informative thanmicrosatellites, as measured by both PIC and number ofpolymorphisms (Table 3).
Comparison of lineage and genotype groups across the sameaccession
Not all individuals of the same base accession number sharedthe same lineage or genotype group. This was especially trueamong the seed-propagated diploids, which never shared thesame genotype, and frequently represented different lineagegroups. This was expected given that the diploid accessionswere largely seed