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Genetic Relationship Analysis of Hybrid F1 Generation of Multifoliolate Alfalfa and Trifoliolate Alfalfa by SSR Markers

多叶型和三叶型苜蓿杂交F1代遗传关系的SSR分析



全 文 :!23" !5#
 Vol.23  No.5
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ACTA AGRESTIA SINICA
   2015$  9%
  Sep.  2015
犱狅犻:10.11733/j.issn.10070435.2015.05.021
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f\­î‹©5ÄÅ91.11%,œ‹©5vìG93.33%,vÚ1.64%,L–G39.8%,­(îàBf\‹©5ì
¦Þ)îà
;F1f\+-Þ+、´ Þ+=-´Þ+B8ABÈÊ#—1∶1∶1,QBzŸÈA#9∶7∶2。
SSR¬±ƒIjÅ79e!Yno,L–”K½9IjÅ4.16e,19K½9BL–‹gÈ5561.58%。f\l
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:S541    >?@AB:A     >CD=:10070435(2015)05103909
犌犲狀犲狋犻犮犚犲犾犪狋犻狅狀狊犺犻狆犃狀犪犾狔狊犻狊狅犳犎狔犫狉犻犱犉1犌犲狀犲狉犪狋犻狅狀狅犳犕狌犾狋犻犳狅犾犻狅犾犪狋犲
犃犾犳犪犾犳犪犪狀犱犜狉犻犳狅犾犻狅犾犪狋犲犃犾犳犪犾犳犪犫狔犛犛犚犕犪狉犽犲狉狊
ZHUPinghua,WEIZhenwu,QIAOZhihong,WUZinian,LIUGuozhi
(ColegeofAnimalScience&Technology,InstituteofForageandGrasslandScience,YangzhouUniversity,
Yangzhou,JiangsuProvince225009,China)
犃犫狊狋狉犪犮狋:Toelucidatetheseparationcharacteristicsandthegeneticcharacteristicsofmultifoliolatetraits
ofF1hybridgenerationsoftrifoliolatealfalfaandmuitifoliolatealfalfa,Huaiyinalfalfaandmuitifoliolate
alfalfaPL34HQwereusedtohybridizetogeneratereciprocalcrossingF1generationplants.180plantsof
F1generationwereusedtoanalyzeagronomicandeconomiccharacters,geneticdiversityandpopulation
structure.Resultsshowedthat:thegroupmultifoliolaterateofF1populationwas91.11%,themaximum
multifoliolaterateoftheplantswithmultifoliolatetraitwas93.33%,andtheminimum was1.64%,
39.8% wastheaverage.GroupmultifoliolaterateofF1populationinspringandautumnwashigherthan
summerandwinter.Theproportionofpurplestems,greenstemandpurplegreenstem wasnearly
1∶1∶1,andtheproportionofplanttypeseparatedratewasabout9∶7∶2.Atotalof79alelicvariations
weredetectedwithSSRmarkers,and4.16toperprimer,theaverageratioofpolymorphismwas61.58%.
F1populationwasdividedintofourgroupsbygeneticstructureanalysis,andtheresultsofgeneticdiversi
tyoftheclusteranalysisshowedthathighestgeneticdiversityexistedinGroup2,folowedbyGroup1and
Group4.GeneticdiversitylevelsofGroup3wasthelowest.
犓犲狔狑狅狉犱狊:Alfalfa;Muitifoliolate;F1traits;Segregationofcharacter;Populationstructure
EFGH
:20140613;IJGH:20150402
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ÇÈÅÆAuthorforcorrespondence,Email:zhenwu_wei@hotmail.com
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@‹©‘©GAPL34HQ[35](犕犲犱犻犮犪犵狅狊犪狋犻狏犪
‘PL34HQ’)=m‹©Ý÷‘Huaiyin’)。
>T‘ȶCP1ó:
\1 ]^=>ð„
Table1 Thevarietiesofalfalfausedfortests
=V˜™
Number
«]
Name
úñ
Origin
…†
Source
GYyQ
Type
€RS Morphologicalfeatures
HY01
Ý÷Huaiyinalfalfa

China
|¬O,`è
Thenationalanimal
husbandrystation
Ù©Trifoliolatealfalfa
M©Ù®w©

ìšì

Qӄ

+-Þ
Threeleaflets,highplantheight,
uprightplanttypeandpurplestem
AF01 PL34HQ
©**Ð
Australia
(ASI/1998/026)
ChinaAustraliaalfalfa
cooperationprojects
(ASI/1998/026)
‹©Muitifoliolate
alfalfa
M©‹w©

QéC

+´Þ
Multifoliateleaflets,
looseplanttypeandgreenstem
1.1.2 ijklgh 2012$4-5%,•ë2*+
=V(,–‚}Ý÷>T;i».½šNö
,2e%ÌJÕNöum。X$
9-10%¦NöY7Y8¦ë2*+ë7ô—ÝUV
õ+

zœY8¦ÓØ16cmBPVC+,“ž
50cm。ƒJÕ367NöŠ?。d›Œx180œ
ÅGUVF1f\,|1~180™¬±。
1.2 ^šUV
1.2.1 ú´“” •¬
:(1)‹©5:‹©5zGœ‹©5=f\‹©
5

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。(2)+Þ:+|¤5-ÞB]G-Þ+8;
+|¤G´ÞB]G´Þ+8

+¤zG-Þ

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。(3)Q:|·8
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45°‚BGUHQ,45°}‚BG¢CQ。
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(0.8%ùxg{=-sz±±¨ÁIj。&G
¡#nòl4℃Q»Õ¥,Þnòl-70℃Q»u
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SSRž\A[12]G10μL(”ª® ë)。PCR
\AÌ0.24dNTP(10μmol·L
-1),3μLPrimer
(10μmol·μL
-1),0.16μLTappolymerase(1
U),1.5μL10×Buffer(1μmol·L
-1),3μL
DNAéh(20~90ng·μL
-1),0.9μLMg
2+(20
mmol·L-1),1.2μLddH2O。
PCRæñ/º[13]:94℃Cng3min,95℃n
g1min,,55℃,‡1.5min(WX½9,‡_¨W
X
),72℃?1min,ƒ½F35ü,vÌ72℃û_8
min,4℃û”。
æñú9•8%Bmngx)[wÝg{‚™
d³{

مӅÞÌT}

UV]¥ Taqt、
dNTPs、Buffer!UÊ[…®¦‚3:.。
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!5# $LS!:‹©Q=Ù©Q1.2.3 ‘º»¼ SSRæñ†&¥ Quantityone
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phisminformationcontent,PIC)¥ªÂPIC=l-
∑犘犻2Á.[14],Ò+犘犻 5!犻Y!YY:Ù`!Y
Y:B;z5

*¥¿‘POPGENE1.32Á.‡
E‹&g†Shannon«p[15]。
¥¿‘Structure2.2[1617]K180„šU‘;
i‡¦p+éQByfØz

Á.”„‘ƒKžB
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2.1.1 n&" T˜™¦Ý÷.½šNö
,180F1f\­î‹o#B‹©5C
×1]ó。180F18+16Ù©-164–‹©ghA,f\‹©5ÄÅ
91.11%。A‹©ghB8+‹©5vìB5
28™8,‹©5ÄÅ93.33%,‹©5vÚB5
116™8,ø1.64%。>T+>õG46.88%,
œL–‹©5G39.8%,Ù+>õB84.90%。
F18B‹©5–^¦«>T’“,Ї+>õB
67,Ú¦+>õB103。
:1 犉1+Іݍ
Fig.1 MultifoliolaterateofF1
  ˜™PJ,-oE+}
uå=_¨B67

•_î+BPAWX
[1821]。
T
UV+F1f\•_î+‹©ghBPÄ=>C×
2]ó。
:2 犉1+Іݍ./qŠ
Fig.2 Seasonalchangesofgroupmultifoliolaterate
  C‚×]ó,F1f\­î‹©5ÄÅ91.11%,
ÞîG50.92%,(îG83.59%,)îG55.25%。
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Table2 SegregationofstemcolorandplanttypeofF1plants
‘ Materials
ghCharacters
+ÞStemcolor QPlanttype
Ù©>T Trifoliolateparent -ÞPurple ӄQ Upright
‹©>T Muitifoliolateparent ´Þ Green éCQLoose
F1?F1generation

(58)、´ Þ(53)、-´Þ(69)
Purple(58),Green(53),Purplegreen(69)
ӄQ
(91)、UHQ(72)、éCQ(17)
Upright(91),open(72),loose(17)
\3 犛犛犚1+|623
Table3 SSRprimersinformation
ðL½9ºÄ
Forwardprimer
L½9ºÄ
Reverseprimer
!Ynoep
Alelenumber
MES54 GACAGAAAAGCGTAGTAAGG AGGATCAGGTAAAGGAAGAT 4
MES58 ACACAACTCACACAAGCATA GAGTTGGTTGTTTAGAGGAA 1
MES59 CTGAAATCACCGTTCTACTT CATCATCATCATCGTCATC 6
MES60 GAACATAAGAAAGCGCAC ACCAACTGGTTGTTACTGTT 4
MES61 GGGAAACAAAACAACCTC AGTTGTAGATGTCTCGGTGT 5
MES63 CATGATTGTGGAACCATT AGCAACCCATTCATTAGTAG 4
MES64 GGTGAACATAGAAACCTGTC ATTCTGGATCCTCAACAGTA 1
MES67 GACCCTTGGAATAATAGAAAC GAGACAAGAAGAACAGAGGA 2
MtB3 GGATTCAGGACCAAGAGACT CAAAATGCCACTGTTATAAGG 4
MtB4 AAAACCGTGTTCTTGACTTG GGCTTTATCACCAAGAAACA 1
MtB8 CCATCCTTTTACGATGACCG GGCTTACCACCACCACATTC 8
MtB16 GGAGCCTGAAATTTTGAATA GGTACAGCTTGCTAAAATGG 6
MtB45 CGCGAGTTTATACCATGACT TTCCAGAATGTTCACAATGA 4
MtB57 GCAAATCTTCATTCATCTCA ATGCTGTAGTTTGTGGACCT 4
MtB92 AAACCAGTTGGCTGTAACGC ACGGTTGTCCTTTGATGCTC 3
MtB218 CCAAAAGTTGTTCCAAGATG CCTTCTTTCTTCCCTTCAAT 8
MtB231 CACGAACCAAAGCATAAGCA ATGGGTGGGTGAGAGTTCTG 5
MtB344 ATGGAGAAGATGTTCCGACG GTCACACCAGGTGCACAATC 4
MtB347 GGAAAAGGGAGGGTGTGAAT CAGGATCGTGGTAGGGTACG 5
  11KSSR½9=8KESTSSR½9•180
F1f\+ƒIjÅ79e!Yno,L–”eY:
4.16e。WXB½9æñ…B!YnoJ
—Do
。MtB8= MtB218IjÅB!Ynopv
‹

8e;MES58= MES64IjÅB!Ynop
v5

ø1e。‹gÈ5•20%~83.33%’
“n<

L–61.58%。19e¬±B‹gȶë
(PIC)•0.5045~0.8991’“n<,L–PICõG
0.7603,]¬±BPIC–ì¦0.5,qPJ]Œ¥
BSSR½9=ESTSSR½9•TUVf\+‹
g$%

2.3 †Ýoa¾Ýo=>,¤F1-+ÐlÐ;n
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pKõBqr•2~10’“,} KõGM{¬,ƒ
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×

C×3A]ó。
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Š

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Œ\”‘BØzC×4=P5]ó。
µkH KõG4’Ì,¦Áƒ„gÈÊæ
kH6e^X,K180F1z;iHȚz{

lmCP4]ó。
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Fig.3 CurvediagramofKvalue
:4 180F犉1=>ST5i6Î×o0+Ð÷ølÐ
Fig.4 Geneticstructureof180alfalfaF1plantsbasedonmixedmode
\4 ‡ˆ÷ø|\3.78;lm
Table4 Differentgeneticsimilarityscaleresultsofposterioriprobability
Qõ
QValue
yf1
Group1
yf2
Group2
yf3
Group3
yf4
Group4
o@fMixedgroup
ØlLkÐfB;zÈ
Percentage/%
0.40 48 58 43 37 -6
0.50 34 46 33 32 35 80.56
0.60 16 34 26 25 79 56.11
0.70 7 18 19 17 119 33.89
0.80 3 10 14 11 142 21.11
0.90 2 6 11 8 153 15.00
  C‚P]ó,ÉÁƒ„gÈÊG0.4“,A
yfƒ‘

}QõWâG0.4。ÉQõzÆG
0.5,0.6,0.7,0.8,0.9“, ØzGo@f\B
‘zƍ35,79,119,142=153。o@fBp³dQõBñ ˆñ‹,}Ølo@f\‘
v5B0.5ÅGQõ,KF1f\;iØz。180„
Šyf+BQõ*¦]Æ!¦0.5,E£|}új
ÒÁÂàzƒKšœŠ

|} ØzÅ4eyfÒ
+BŠe

Ò~35„(19.44%)‘•4eyf+
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BQõw¦0.5,VJµByf8ORg,€áŠe o@f\(Mixedgroup)。
\5 犉1+Ð180FëF<+8;lm
Table5 Thedivisionresultsof180individualF1plants
8˜™
Code
yf
Group
8˜™
Code
yf
Group
8˜™
Code
yf
Group
8˜™
Code
yf
Group
1 1 46 4 91 3 136 4
2 47 4 92 3 137 4
3 1 48 3 93 3 138 4
4 1 49 94 3 139 4
5 1 50 3 95 3 140 4
6 1 51 3 96 3 141 4
7 1 52 4 97 4 142 4
8 53 98 3 143 4
9 1 54 99 144 1
10 1 55 100 3 145 1
11 1 56 4 101 3 146 2
12 2 57 4 102 3 147
13 58 103 148 2
14 2 59 4 104 3 149
15 1 60 105 3 150 2
16 2 61 1 106 151
17 1 62 107 152 2
18 63 108 3 153 1
19 1 64 109 3 154 1
20 65 2 110 3 155
21 66 2 111 3 156 2
22 67 3 112 3 157
23 68 1 113 3 158 2
24 2 69 2 114 3 159 2
25 2 70 2 115 3 160 2
26 1 71 2 116 161 2
27 1 72 2 117 3 162 2
28 73 118 163
29 4 74 2 119 164 2
30 1 75 2 120 1 165 2
31 1 76 3 121 1 166 2
32 1 77 3 122 1 167
33 1 78 2 123 1 168 3
34 79 2 124 169
35 1 80 2 125 2 170 2
36 2 81 2 126 2 171 2
37 4 82 2 127 2 172 2
38 4 83 128 2 173 2
39 4 84 1 129 2 174
40 4 85 1 130 2 175 2
41 4 86 1 131 2 176 2
42 4 87 4 132 177 4
43 4 88 4 133 4 178 4
44 4 89 3 134 1 179 4
45 4 90 3 135 4 180 2
  CP5]ó,KØl«kf\B145 F1

Ølyf2B8v‹,
46,C12™、66™!,Ù`‘B25.56%;
Òü5Ølyf1B34,C1™、84™!,
Ù`‘B18.89%;Ølyf3B33,C
110™、111™!,Ù`‘B18.33%;Øly
f4Bv5,32,C177™、178™!,Ù`
‘B17.78%。
2.3 <+0÷ø†[3
4eyfB‡E‹&g=Shannon«pCP6
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1yfB‡E‹&g=Shannon«pBn<ª
«ŠX

͇E‹&gˆÎ

yf2>yf1>yf
4>yf3,yf1=yf2BDoW—r,yf3
=yf4BDoW—r,wyf1,2=yf3,4’
“—rgDo

ÍShannon«pˆÎ,yf2>
yf1>yf4>yf3,yf1、yf2=yf4’
“DoW—r

yf1,28yf3’“Do—r,
yf48yf3’“—rgDo。
\6 <+0÷ø†[3;n
Table6 Summaryofstatisticsanalysisof
geneticdiversityofmodelbasedgroups
yf
Group
&T*w
Samplesize
‡E‹&g
Genediversity
I«p
ShannonindexI
Group1 34 0.2131a 0.3135a
Group2 46 0.2149a 0.3211a
Group3 33 0.1502b 0.2333b
Group4 32 0.1638b 0.2559ab
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[1] Bingham E T.Registrationofalfalfainbredparentalline
MAG7[J].CropScience,1993,33(6):14271427
[2] WoodwardWTW,SatterleeLD,HoardGE,犲狋犪犾.Regis
trationof‘5715’alfalfa[J].Cropscience,1993,33(4):875
875
[3] Ҁ},I,—X+,!.[J].N)+w,2007,16(4):18
[4] o‚.‹©(3):14
[5] ¦£<,±ƒG.‹©(4):6869,72
[6] $y.‹©-o-
,1987,9:003
[7] SmithJG,MottGO,BulaRJ.Ecologicalparametersofan
alfalfacommunityunderfieldsconditions[J].CropScience,
1964,4(6):577580
[8] LiangGHL,RiedlWA.Agronomictraitsinfluencingforage
andseedyieldinalfalfa[J].Cropscience,1964,4(4):394396
[9] FrakesRV,DavisRL,PattersonFL.Thebreedingbehavior
ofyieldandrelatedvariablesinalfalfa:II.Associationsbe
tweencharacters[J].CropScience,1961,1(3);:207209
[10]VolenecJJ,ChemeyJH.Yieldcomponents,morphology,
andforagequalityofmultifoliolatealfalfaphenotypes[J].
CropScience,1990,30(6):12341238
[11]Ҁ}.*¥SSR,ISSR=RAPD•–%ð«U׆
[J].N)+w,2004,13(3):6267
[12]Hdç,Ҁ},fÙo,!.|µŠ$:[J].Nñ+w,2007,15(5):
429436
[13]PG3,Ҁ},}®Í,!.|µ¬±BU@
[J].N)°+,2011,28(5):746752
[14]AndersonJA,ChurchilGA,AutriqueJE,犲狋犪犾.Optimizing
parentalselectionforgeneticlinkagemaps[J].Genome,1993,
36(1):181186
[15]YehFC,YangRC,BoyleTBJ,犲狋犪犾.POPGENE,theuser
friendlysharewareforpopulationgeneticanalysis[J].Molecu
larBiologyandBiotechnologyCentre,UniversityofAlberta,
Canada,1997:10
[16]PritchardJK,StephensM,DonnelyP,犲狋犪犾.Inferenceof
populationstructureusingmultilocusgenotypedata[J].Ge
netics,2000,155(2):945959
[17]FalushD,StephensM,PritchardJK.Inferenceofpopulation
structureusingmultilocusgenotypedata:linkedlociandcor
relatedalelefrequencies[J].Genetics,2003,164(4):1567
1587
[18]LambJAFS,SheafferCC,SamacDA.Populationdensity
andharvestmaturityeffectsonleafandstemyieldinalfalfa
[J].Agronomyjournal,2003,95(3):635641
[19]BinghamE.T.Registrationofalfalfainbredparentalline[J].
CropScience,1993,33(5):1427
[20]HestermanOB,TeuberLR.Effectofphotoperiodandirradi
anceonfaldormancyofalfalfa[J].AgronomyAbstract,A
mericanSocietyofAgronomy,Madison,USA,1981:87
[21]JuanNA,SheafferCC,BarnesDK.Temperatureandpho
toperiodeffectsonmultifoliateexpressionandmorphologyof
alfalfa[J].Cropscience,1993,33(3):573578
[22]EvannoG,RegnautS,GoudetJ.Detectingthenumberof
clustersofindividualsusingthesoftwareSTRUCTURE:a
simulationstudy[J].Molecularecology,2005,14(8):2611
2620
[23]7å.‹©(2):226230
[24];Ȇ.‹©Q=Ù©Q-o{
[J].+¬()°+,2010,43(14):30443050
[25];a$,;j),ìL!,!.Û[\=_[\":noRSȚ˜™
[J].Nñ+w,2009,17(4):464469
[26]Ëaž,H­S,ªª[,!.~1+ÞghÁª«˜™[J].
6401
!5# $LS!:‹©Q=Ù©Q‚œc()°•
,2004(6):910
[27]WangR,YuY,ZhaoJ,犲狋犪犾.Populationstructureandlink
agedisequilibriumofaminicoresetofmaizeinbredlinesin
China[J].Theoreticalandappliedgenetics,2008,117(7):
11411153
[28]LiuKJ,GoodmanM,MuseS,犲狋犪犾.Geneticstructureand
diversityamongmaizeinbredlinesasinferredfromDMAmic
rosatelite[J].Genetics.2003(165):21172128
[29]YdS,;„Z,’žL,!.±_¡ÛANöwd’MAÁÂ
‹&g=f\l%z{
[J].+¬:9<+8z7:9+w,
2009(9):867875
[30]û¬›,Öðæ,u,!.+ 5dYùBÁ‹&g=f
\l%z{
[J].dyÅ9+w,2010(4):617624
[31]HÊ.Ý÷(6):924930
[32]¶_,Ҁ},֛®,!.‡¦SSR ¬±B‹&g8f\l%z{
[J].Nñ+w,2013,21(4):759
768
[33]¦£<,±ƒG,;} ,!.‹©QIgh
[J].+¬Nñ,1998,3:68
[34]fÔ,¶d,‡ˆ,!.782RAPDz{[J].Nñ+w,2008,16(2):129134
[35]}®Í,Ҁ},’ü,!.‹©z{
[J].+¬Nñ+w,2010(6):2733
[36]fÙo,Ҁ},Hdç.«ySSRK=>?@ABȚ˜™
[J].Nñ+w,2008,16(5):432438

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