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Partitioning and distribution of RAPD variation in a set of populations of the Medicago sativa complex
Ml Crochemore, C Huyghe, Marie-Claire Kerlan, F Durand, B Julier
To cite this version:
Ml Crochemore, C Huyghe, Marie-Claire Kerlan, F Durand, B Julier. Partitioning and distribution of
RAPD variation in a set of populations of the Medicago sativa complex. Agronomie, EDP Sciences,
1996, 16 (7), pp.421-432. �hal-00885806�
agronomie: plant genetics and breeding
Partitioning and distribution of RAPD variation
in a set of populations of the Medicago sativa complex
ML Crochemore, C Huyghe MC Kerlan F Durand, B Julier
Station d’amélioration des plantes
fourragères,
Inra, F-86600Lusignan,
France(Received
21 December 1995; accepted 29May 1996)
Summary —
Lucerne(Medicago sativa)
is amajor perennial forage legume
and includes two mainsub-species.
Thevariation available within a group of 26
tetraploid populations
of thiscomplex
wasinvestigated
with randomamplified polymorphic
DNA(RAPD)
markers.Thirty seedlings
perpopulation
wereanalysed. Twenty-nine reproducible markers,
24
being polymorphic,
were obtained with fourprimers.
The variationpartitioning
was studiedusing
the AMOVA tech-nique.
Thegenetic
variationproved
to benearly equally
distributed within and betweenpopulations.
Thebetween-pop-
ulation variation was further
partitioned
between groups(falcata, Flemish, mediterranean)
and betweenpopulations
within groups. The latter source of variation was the
major
one.Although
thisstudy
included asub-species level,
thewithin-population
variation was verylarge probably
due to theoutcrossing reproduction
and thetetraploidy.
A similarapproach
was used todistinguish
varieties andproved
to be very efficient. Thewithin-population dissimilarity
indiceswere very variable
according
to thepopulations;
the falcata andFlemish-type
materials showed on average alarger within-population dissimilarity.
Thebetween-population
dissimilarities were calculated and adendrogram
was drawn.This made it
possible
toseparate
thepopulations belonging
to the twosub-species
and thepopulations
ofsubspecies
sativa
largely introgressed by
falcata. Therelationships
among the sativapopulations partly
fitted with the knownorigin
of the material or with their
agronomic
behaviour.Medicago
sativa = lucerne / RAPD marker / variationpattern
Résumé — Variation intra- et
inter-population
et relations entrepopulations
ducomplexe Medicago
sativamises en évidence à l’aide de marqueurs RAPD. La luzerne
(Medicago sativa)
est unelégumineuse fourragère majeure comprenant
deuxsous-espèces principales,
sativa et falcata. La variationdisponible
au sein d’un ensemble de 26populations tétraploïdes
de cecomplexe
a étéanalysée
à l’aide de marqueurs RAPD(random amplified poly- morphic DNA).
Trenteplantules
parpopulation
ont été étudiées.Vingt-neuf
marqueursreproductibles
dont 24 mar-queurs
polymorphes
ont été mis en évidence à l’aide dequatre
amorces. La variationgénétique qui
a été étudiée à l’ai- de de latechnique
Amova est distribuée defaçon
presqueégale
au sein despopulations
et entre lespopulations.
Lavariation
inter-population
a étérépartie
en variationinter-groupes (falcata,
flamand etméditerranéen)
et entrepopula-
tions au sein des groupes. Cette dernière source de variation est la
plus importante.
Bien que cette étude aitpris
encompte
la variationd’origine sous-spécifique, l’importante
variationintra-population
est vraisemblablement liée à lareproduction allogame
et àl’autotétraploïdie
de la luzernepérenne.
La mêmetechnique
a été utilisée pour étudier la distinction entre les variétés et s’avère trèsperformante
pour cela. La dissimilaritéintrapopulation
varie selon la popu-lation,
lespopulations
dormantes et detype flamand,
montrant en moyenne uneplus grande
dissimilaritéintrapopula-
tion. Les dissimilarités
interpopulation
ont été calculées et undendrogramme
a été tracé pour cet indice de distance. Il*
Correspondence
andreprints
permet
deséparer
lespopulations
des deuxsous-espèces
ainsi que lespopulations
sativa fortementintrogressées
defalcata. Les relations entre les
populations
sativacorrespondent partiellement
àl’origine
du matériel et à soncomporte-
ment
agronomique.
Medicago
sativa = luzerne / RAPD / variationINTRODUCTION
Lucerne (Medicago sativa L),
oneof the world’s
mostimportant forage legumes, is
an auto-tetraploid, outcrossing and perennial species.
The M sativa complex includes nine subspecies (Gunn
etal, 1978), which
areeither diploid
ortetraploid and include ssp sativa which has pur-
ple flowers, tap roots,
erectplants
withcoiled pods
andssp falcata
whichhas yellow flowers, fasciculate roots, prostate plants
withsickle- shaped pods and
astrong winter dormancy.
Atthe tetraploid level, the
crossesbetween sativa and falcata give fully fertile hybrids (Lesins and Lesins, 1979). The intermediate forms originating
from such
crosses arewidely used
inbreeding
and cultivation
in northernEurope
andnorthern
America because of their frost
andwinter hardi-
ness
(Michaud
etal, 1988).
Information about germplasm diversity, diversi- ty distribution and genetic relationships among material under selection
isof fundamental impor-
tance in
breeding. Ideally, methods for under-
standing genetic relationships between popula-
tions and variation partitioning
withinand
between populations
inalfalfa should
bebased
on
comparison of plants using monogenic
traitswhose
expression is
notaffected by plant devel- opment. Although
therandom amplified polymor- phic DNA (RAPD) markers
aredominant, they
can
usefully contribute
tosuch
aninvestigation.
RAPDs
are dominantmarkers
which werefirst
developed by Welsh and McClelland (1990) and
Williams
etal (1990). They
arerandom pieces of
DNA
amplified from
thegenome by
atechnique
based
on thepolymerase
chainreaction. RAPDs have been used for genome mapping (Carlson
etal, 1991; Kazan
etal, 1993),
todescribe phylo- genetic relationships (Puterka
etal, 1993),
toidentify cultivars (Hu and Quiros, 1991; Yu and
Nguyen, 1994; Nienhuis
etal, 1995) and
toassess
levels and patterns of genetic variation (Chalmers
etal, 1992; Huff
etal, 1993;
Castagnone-Sereno
etal, 1994; Baruffi
etal, 1995; Nesbitt
etal, 1995).
Within theMedicago genus, RAPD markers have been used
toesti-
mategenetic relatedness
incultivated lucernes
(Yu and Pauls, 1993a),
todevelop
agenomic
map (Echt
etal, 1992; Kiss
etal, 1993; Yu and Pauls, 1993b),
toanalyse the genetic variability
in
annual diploid species (Brummer
etal, 1995;
Bonnin
etal, 1996),
tocharacterize woody species of Medicago (Chebbi
etal, 1995) and
totag genes (Yu and Pauls, 1993c).
The
genetic
materialsampled in this study comprises tetraploid populations and varieties from
the Msativa complex and
covers awide
range of the genetic variability which forms the
basefor breeding populations
in mostcountries (Michaud
etal, 1988; Julier
etal, 1995).
Thepre-
sentstudy presents
amethodological approach using RAPDs
toinvestigate
thepartitioning of
variation
withinand between populations and
between groups of
a setof
26M sativa popula-
tions.
This approach will be used
todiscriminate lucerne varieties. The relationships between pop- ulations,
eithernatural
orcultivated, based
onthe genetic distances, will be analysed.
MATERIALS AND METHODS
Plant material
Twenty-six tetraploid populations
of M sativa ssp sati-va and ssp falcata were involved in the
study.
Table Ipresents
theorigin
of thesepopulations
and theirgenetic
status. MonteOscuro,
Maron and Malzevilleare wild
populations.
Monte Oscuro is apopulation
from northern
Spain
and seeds were collected in 1981(Delgado, 1989).
Maron and Malzeville were collected in the east of France as seeds andcuttings respective- ly (C Ecalle, personal communication).
The other 23populations
arecultivated,
either local landraces orvarieties
showing
alarge
range of winterdormancy.
The cultivars and
experimental genotypes
aresynthet-
ics with different numbers of constituents. This number is not available for all the varieties. For those
available,
it ranges from 4 for 63-28P to 28 forMaya.
The seedsof the varieties were
kindly provided by
the breeders.The seeds of the local landraces were
multiplied
atLusignan (France) by intercrossing
80plants
grown from the seedsoriginally
received. The number ofprogenitors
of these landraces or the number of seedsor
plants originally
collected is not available. As a source of additionalinformation,
thepercentage
of var-iegated
flowers is alsogiven
in table I. Thispercentage
was scored on 90
spaced plants
grown in the field atLusignan
from the same seed batches as those usedfor the RAPD
analysis.
For theanalysis
of thedata,
thepopulations
weregathered
into three groups: falcatapopulations;
Flemishtype populations;
and Provence andMediterranean-type populations (table I).
Thirty seedlings
perpopulation
were grown in agrowth
cabinet set to a continuouslight
at a constanttemperature
of 18 °C. The last trifoliolate leaves weresampled
on eachplant
toyield
30-40 mg of fresh material. The leaves were oven-driedovernight
at 60°C before DNA extraction. The number of
seedlings
with a successful DNA extraction is
given
for eachpopulation
in table I.DNA
extraction
Genomic DNA was extracted from each
plant by homogenizing
thedry
leaves in 800μL
of extraction buffer(made by mixing
100 mM Tris HClpH 8.0,
5.0 mM EDTA
pH 8.0,
500 mMNaCl,
1.25% SDS(w/v)
and 0.38 g of sodium
bisulfite)
in a sterileEppendorf
tube
(Tai
andTanksley, 1991).
Theproteins
were pre-cipitated by adding
250μL, potassium
acetate 5 M andincubated on ice for 30 min. The
samples
were cen-trifuged
at 12 000 rpm for 3 min. Thesupernatants
were removed to new
Eppendorf
tubes. The DNA wasprecipitated by adding
one volume of pureisopropanol
at -20 °C for 1 h. After two washes in 75%
ethanol,
theDNA
pellets
were dissolved in 100μL
of TE buffer.RNAse treatment was
performed by adding
2.5μL
RNAse
(2.5 μg/mL)
for 15 min. The DNA wasprecipi-
tated
by
sodium acetate 3 M(1/10 vol)
and 3 vol of ethanol 95% and incubated at -20 °C for 1 h. Thesamples
werecentrifuged
at 15 000 rpm for 5 min. Thepellets
were washed with ethanol 75% and dissolved in 50μL
of sterile distilled water withoutagitation.
TheDNA was
quantified using
a Hoefer Scientific TK0100 fluorometer.DNA
amplification and separation
The DNA
amplification protocol
wasadapted
fromWilliams et al
(1990).
Each 25μL
reaction contained 25 ng ofDNA,
10 mM Tris HClpH 8.3,
50 mMKCI,
1.5 mM
MgCl 2 ,
0.01%gelatine,
0.2 mM each ofdATP,
dCTP, dGTP,
dTTP(Pharmacia),
0.2μM
of randomprimer
and 0.4 units ofTaq polymerase (Stehelin
andCo, Basel, Switzerland).
The reactions were overlaid with mineral oil.Amplification
wasperformed
in aPerkin Elmer
thermocycler starting
with 4 min of denat-uration at 94 °C followed
by
37cycles
of 1 min at 93°C,
1 min at 45 °C and 1 min at 72 °C. The lastcycle
ended with 6 min at 72 °C. The RAPDfragments
were
separated by
1.8%agarose-gel electrophoresis
with TAE 1x buffer
(0.04
M Tris acetatepH
8.0 and10 mM
EDTA)
and visualized with ethidium bromide.Four ten-mer
Operon primers (Operon Technologies Inc, Alameda, CA, USA),
setB,
wereused.
They
were known to revealpolymorphism
onsome
populations
of M sativa(Huguet, personal
com-munication). Banding patterns
were obtained on a totalof 737 individual
plants
for eachprimer.
The markersare identified in the tables and
figures by
the name ofthe
primer
andby
thelength
of thefragment.
Statistical analysis
Mean population analysis
For each
population,
thepercentage
of presence of the different bands was calculated. Thefrequencies
ofoccurrence of the
polymorphic
loci wereanalysed through principal component analysis.
Individual analysis
The
dissimilarity
index(d)
was calculatedby
compar-ing banding patterns
betweenpairs
of individualsaccording
to thefollowing
formula:where
N A
andN B
are the number offragments
in indi-viduals A and B
respectively
andN AB
is the number offragments
that differ between the two individuals(Gilbert
etal, 1990;
Yukhi andO’Brien, 1990).
A matrixof
genetic
distances between all individuals based ondissimilarity
indices was obtained.Variation partitioning
Components
of variance of thegenetic
distance attrib- utable to differences between groups, betweenpopula-
tions within groups, and between individuals within
populations
were estimated from this matrixusing
AMOVA
(analysis
of molecularvariance;
Excoffier etal, 1992).
AMOVA variancecomponents
were used asestimates of the
genetic diversity, partitioned
into with-in and between
populations
within and between groups. The number ofpermutations
between all indi- viduals fortesting
thesignificance
of the variances wasset at 100. The null distribution of the
within-population
variance was tested
by allocating
each individual to arandomly
chosenpopulation.
The null distribution ofthe
between-populations within-groups
variance wastested
by permuting
individuals within groups withoutregard
topopulation.
The null distribution of thebetween-group
variance was testedby permuting
whole
populations
across groups. With this lastsystem
of
permutations,
the size of the groups was variable.Variety distinction
The 15 varieties of our
study
werepairwise analysed using
the AMOVAapproach
with two variance compo- nents: withinvarieties,
between varieties. The null dis- tribution of the between-varieties variance was testedby
200 randompermutations
of the individuals withoutregard
tovariety.
Thisapproach
wasonly performed
on the varieties which are
expected
to have similar constitutions even if the number of constituents in theoriginal polycross
may be different.Within-population and between-population
dissimilarities
An estimate of
within-population dissimilarity
was cal-culated. If n individuals from the same
population
werecompared,
the average of the(n(n - 1 )/2) dissimilarity
values
gives
an estimate of thewithin-population
dis-similarity. Similarly,
thedissimilarity value, d xy ,
between two
populations
x and y isgiven by
the aver-age of the
(n x n y ) dissmilarity
values between the nx andny
individuals of the twopopulations.
The
between-population
dissimilarities were used to draw adendrogram
with theunweighted pair
groupmathematical average method of
aggregation.
To test differences between
populations
for thewithin-population dissimilarity value,
abootstrap
rou-tine
(Efron, 1979)
wasperformed.
Asproposed by
VanDongen (1995), resampling
wasperformed
acrossindividuals to reflect the variation due to the
sampling
of individuals within the
populations. Thirty
randomsamples
were created for eachpopulation. Similarly, by bootstraping simultaneously
in twopopulations,
aseries of 30 distance matrices of dissimilarities was
created. The
dendrogram
with the UPGMA methodwas drawn for each of these matrices. A
majority-rule
consensus tree was built
using
the CONSENSE proce- dure of PHYLLIP 3.5c(Felsenstein, 1985).
To run themajority-rule
consensusprocedure
of PHYLLIP3.5c,
which was first defined tobootstrap
overloci,
the den-drogram
obtained from each of the 30 iterations was converted into a data formatcompatible
with the CON- SENSEprocedure.
RESULTS
Frequencies among populations
In the
material involved
inthis study, banding pat-
terns were
observed
on737 plants. Twenty-nine
bands
wereobserved and selected
asthey proved
to
be reproducible. Twenty-four of these bands
were
polymorphic. The
meanfrequencies of
thedifferent polymorphic bands
arepresented
intable
II
alongside the standard deviation
andthe
mini-mum
and maximum values among populations.
A
principal component analysis performed
onthe frequencies illustrates
thedistribution of
thevariation for
thedifferent bands among the popu- lations. Figure
1shows the distribution of the bands (fig 1a) and of the populations (fig 1b)
onthe first
two axeswhich represent only
25%of
the total variation. Figure
1Aillustrates that there is
noassociation of bands among
thepopulations
under study. The analysis of
thecorrelations between the frequencies of the bands
in thedif- ferent populations showed that
outof the
276correlations, only
11 weresignificant
at theP < 0.05
level. This
meanslow levels of links
between bands. Figure 1 B shows that
mostof the variation observed for the frequencies calcu-
lated for each band and taken into
accountin
thefirst
two axes wasdue
to alimited number of
populations, Maron, Malzeville, Maya, 63-28P, Luzelle
andRival, ie, mainly falcata populations
and Flemish-type populations.
Variance partitioning
When the AMOVA
wasfirst performed with only within-population and between-population effects, there
was asignificant contribution (P
<0.01) of the between-population variance
tothe
total variance.
A newanalysis
with abetween-
group effect
and abetween-population within-
group effect
wasperformed. The results of the AMOVA partitioning
aregiven in table
III.Although the populations under study
cover awide
range of
thegenetic variability available for
breeding, including
asub-species variation, the within-population variation
still accountsfor
50.6% of the total variance.
Itis consequently
necessary
toanalyse both
thewithin-population
and between-population variations. Both the
between-population within-group
and between-group variance significantly contributed
tothe total variance. The between-group effect
accounted for 7.7% of
thevariation.
Thisimpor-
tant
contribution
tothe total variance
ismainly
due
tothe presence of falcata populations.
Indeed,
whentesting
the null distributionfor
thebetween-group variance,
thehighest values of
the estimate of the between-group variance
wereobtained when Maron
and Malzeville were ran-domly allocated
to thefirst group.
Thelowest val-
ues were
obtained when they
wererandomly
allocated
todifferent groups.
Thebetween-popu-
lation within-group effect contributed
more than 40% tothe total variance. This is likely
tobe due
to
the very broad basis
of thedifferent groups,
theFlemish group,
forinstance, gathering both
the
very
dormant northAmerican variety Sabre
and the landrace Luçon, which probably origi-
nates
from
adifferent genetic background.
Variety distinction
The varieties involved
inthis study
were com-pared pairwise.
Table IV showsthe contribution of the between-variety variance
tothe total vari-
ance in
each of the possible comparisons and
the probability of obtaining
a more extremeesti-
mate of
the between variance by random permu- tations
ofindividuals
acrossvarieties.
Infour combinations only, the between-variety variance
is not
significant
at the P < 0.05level.
Thesefour
combinations
areNatsuwakaba-Europe, and
thethree possible combinations
betweenLodi, CUF101 and WL514. These last three varieties differ only by slight differences
in thefrequencies
of three bands. The AMOVA approach shows
ahigh potential
todiscriminate lucerne varieties with only four primers and
24polymorphic loci.
The addition of
an extraadequate primer
to theset
of the four primers used
inthe present experi-
ment is
likely
toenable
thedistinction of
all thevarieties.
Within-population dissimilarity
The populations
werecompared for the value of
thewithin-population dissimilarity.
Ananalysis of
variance
of
theaverage within-population dissimi- larity
wasperformed using the iterations of the
bootstrap
asreplicates. Significant differences between populations
werefound (P
<0.01). The comparisons of the
means,using
anSNK
testwhich controls the Type I experiment-wise
errorrate under the
complete
nullhypothesis,
arepre- sented
intable
V.Sabre,
aCanadian variety,
wasfour times
morevariable than Coussouls,
aFrench variety of mediterranean type.
Even
if
the dormantmaterial, ie,
the Flemish-type populations and the falcata populations,
shows
onaverage
alarger within-population dis- similarity than the mediterranean-type material (data
notshown), there
arecontrasted situations within each group. For instance, Gabes,
aTunisian landrace,
shows awithin-population
dis-similarity
aswide
asthat of Sabre. Dem3 and Pool5, which have different origins and constitu- tions,
werethe
morevariable mediterranean materials; Dem3
was alandrace collected from the valley of Demnate region
inMorocco
in1981-1982
(Birouk
etal, 1989), while Pool5
wasbuilt by pooling five Moroccan populations from
Saharian oasis
andmountain regions (Birouk
andGuy, 1986).
The falcata populations, Maron and Malzeville, showed very contrasted
structures with awide
within-population
variationfor
Maronand
avery
narrow one
for Malzeville. The way
thesepopula-
tions
werecollected may explain this difference.
While
4800
seeds were collected tobuild
thepopulation Maron, cuttings
werecollected
onthe
site of
Malzeville. Some
122cuttings
were sam-pled
outof which only
64plants proved
to be truefalcata type (yellow flowers
andsickled-shaped pods). The
otherplants
werediscarded before
producing seeds. Out of the
64plants,
50pro-
ducedseeds
and weredefined
asthe original
Malzeville population. The mode of collection and the subsequent selection of
truefalcata types may explain the
narrowgenetic variability
withinthis population.
The fact that the
dormantmaterial shows
alarger within-population variation may be due
to twofactors.
Thefirst
is that mostof
the dormantmaterials
arevarieties
orexperimental genotypes coming from breeding programs. The
varietiesare
bound
toprecise methods of maintenance which avoid
arapid modification of
thegenetic
basis. The natural
populations
or landraces used inthis study had been multiplied several times and this could have led
to aprogressive
narrow-ing of
theirgenetic diversity. Moreover,
theorigi-
nal
genetic basis is
notalways known and the collection itself
couldhave only taken
intoaccount a
part of the genetic variability of the original population. The
caseof the falcata popu-
lation Malzeville is agood example of
thisfea-
ture. A
second factor could
bethe fact
that mostof the
dormantpopulations show large introgres-
sions of
Msativa by
Mfalcata and consequently
are at the intersection of two
gene pools.
Between-population dissimilarity
Figure
2shows the dendrogram based
onthe between-population dissimilarities using the
UPGMA method.
Thevalues
at thedifferent
nodes ofthe dendrogram indicate
thefrequen-
cies of
occurrenceof the corresponding nodes
inthe 30
different samples of bootstrap.
The
dendrogram separates Gabes, Malzeville, Luzelle, Sabre
and Maronfrom the other popula-
tions. The other populations
aredistributed in
twosub-groups with three
FrenchFlemish-type
vari-eties, Maya, Orca and Europe,
in anintermediate
position.
In eachof the
twosub-groups, there is
acluster
of
Mediterraneanpopulations, Mediterraneo, CUF101, WL514, Pool5 and Lodi
in onesub-group and Coussouls, Magali, Higazi,
Dem3 and Sewa
inthe other.
Apart from the position
ofthe intermediate group
ofMaya, Orca
andEurope,
thegroups
ofpopulations appear fairly
stableagainst
the boot-strap
onthe individuals
ineach population.
Therelatively
lowfrequencies
of occurrence of the intermediategroup
are due tothe small
dis- tancesbetween each of
thesepopulations
andthe
restof the sub-groups. Small changes
in thedistances
as aconsequence
ofresampling
onthe individuals lead
tomodification of
theposi-
tion
inthe
treeand reduce
thereliability of
thenodes.
DISCUSSION
This
study only
usedfour primers which showed
29bands,
out of which 24 werepolymorphic.
This limited number of bands
reducesthe possi- bility
ofdrawing phylogenetic relationships
between populations
and thedendrogram
mustbe
analysed
with caution. In moststudies
of rela-tionships
betweenpopulations and
cultivars amuch larger number of polymorphic loci
areincluded.
In Brassicaoleracea,
Kresovich etal (1992)
used 117polymorphic fragments.
InPhaseolus lunatus, Nienhuis
etal (1995) used
125
markers.
Fordiscrimination
between sam-ples
orvarieties, the number of
markers are usu-ally
smaller.Yu and Pauls (1993a) studying
thegenetic relatedness
onbulked
DNAof lucerne
varietiesand Van De Ven and
McNicol(1995)
onSitka spruce
clonesused
tenprimers
with onaverage five products per primer
and sixprimers yielding
atotal of
24polymorphic
bandsrespec-
tively.
When thepartitioning of variation
wasstudied,
the numberof markers
wasvariable and
related to the numberof
DNAsamples.
Chalmers
et al(1992)
inGliciridia scored
63polymorphic
bands on 50samples. Nesbitt
et al(1995) scored
147polymorphic bands
on 52samples of Eucalyptus.
In Piceaabies,
Bucciand Menozzi (1995)
scored 20markers
on 288DNA
samples. At
theinterspecific level of Meloidogyne, Castagnone-Sereno
etal (1994)
used
five primers yielding
74polymorphic bands
on 12
samples. Barasubyie
etal (1995) scored
39 markers to
partition
thevariation among
35Verticillium albo-atrum isolates.
In ourstudy,
where
wehad
737DNA samples from 26
lucerne populations,
we chose to reducethe
number
of primers
toanalyse
all the DNA sam-ples and get
anoptimal
estimateof
the variancepartitioning.
The
RAPDvariation
in Msativa is equally
dis-tributed
withinand between populations.
To ourknowledge, this is the first report of
the within- andbetween-population variation
in Msativa using
RAPDmarkers. The level of partitioning of
RAPD
variation has been examined
in both out-crossing
andselfing species.
The resultsof these studies have been variable depending
onthe range of material under study and
on thebreeding systems
ofthe species
involved. Inbuffalograss (Buchloë dactyloides),
across-pol- linating species, Huff
etal (1993) found that the
within-population variation accounted for
72.9 to80.5% of
the variationaccording
to thegeo-
graphic origin. Similarly,
inEucalyptus globulus
which is also
across-pollinating species, Nesbitt
et
al (1995) found
awithin-population
variationranging
from 73.8 to 94.9%according
to thegeographic origin. On
aleguminous tree,
Gliciridia sepium, which is
anobligate
out-breeder, Chalmers
et al(1992) found
that thewithin-population variation accounted for
40.1 %of
thevariation.
This lowpercentage of variation
is similar to the variationfound by
Dawson et al(1993)
on Hordeumspontaneum (43%) which
has high selfing levels.
In Mtruncatula,
aself- pollinated legume, Bonnin
etal (1996) found
that the within-population
variancecomponent,
in a set
of four populations collected
inthe
south of France, accounted for
55%of
thetotal variance.
M sativa
is
anallogamous species and
so theintermediate
levelof the within-population varia-
tion found
in ourstudy (50%)
islikely
tobe
due tothe material
involved. The populations
weredeliberately chosen
to cover awide range of
vari-ation and
awide range of origin.
Thesub-species
variation
of M sativa
wastaken into
account in thepresent study
as somefalcata populations
were included.
This significantly contributed
to thebetween-population variance,
asthe between-group
varianceaccounted for
7.7% of thetotal variance and
wasgreatly due
tothe
presence of
twofalcata populations. Despite
thewide range of populations
involved inthe study,
the within-population variation
wasvery large.
This clearly
indicatesthat the within-population
variation may
be amajor
sourceof variation for characters which have
notyet been selected for.
The
prevalence of
thewithin-population variation
was also
demonstrated
ontetraploid populations
of Trifolium pratense, another cross-pollinating perennial forage legume (Kongkiatngam
etal, 1995).
Msativa
is along-lived, outcrossing species and
so it is thetype of species
inwhich
Hamrick and Godt (1989) found
thehighest levels
of allozyme
variationwithin populations.
However,
thecodominant
statusof the isozyme systems is
notdirectly
relevantfor
thedominant
markers
such asRAPD. The bias due
tothe dominance
on atetraploid species such
aslucerne could be investigated.
The AMOVA technique
made itpossible
topartition the variation for RAPD markers within and between populations. This approach
wasfirst developed
onhaplotypes and
can bedirectly
used
onhaploid organisms
such asfungi (Barasubiye
etal, 1995)
or onselfing species. It
has been successfully used for RAPD markers
on
outcrossing species
andheterozygous speci-
mens
(Nesbitt
etal, 1995).
Inlucerne, it is possi-
ble
to use it tocompare varieties in
apairwise
test
and
assessthem for distinction.
In ourstudy,
in 101 of the 105
possible pairwise comparisons,
the varieties proved
tobe different
at aprobability
level of
5%.Consequently, with
areasonable
amount
of work (DNA extraction and PCR ampli-
fication
withfour primers) and
with areasonable
level of reproducibility (major bands and stability against resampling),
thestrategy of describing
avariety by
30 of itsindividuals
is reliable. Whenincreasing the number of varieties involved in the
study,
the numberof primers
will need to belarg-
er but
only
in areasonable proportion.
The
dendrogram of the
26populations derived
from
RAPDdissimilarity values does
not com-pletely
fit with the knownorigin of
the material and thismay
beclearly explained by
the smallnumber of polymorphic loci. Gabes from Tunisia
belongs
to aseparate germplasm group and
does
not connect withthe other populations from
northern
or easternAfrica. The
twofalcata popu- lations and the varieties Luzelle and Sabre
areaway from
the restof
the material.Luzelle and Sabre
arethe only
twopopulations of this study
with
plants
withyellow flowers
in theoriginal polycross
andwith plants with variegated flowers
in the
commercial seed, both indicating the pres-
ence
of falcata-type progenitors.
While
the twowild falcata populations and the
wild sativa
Monte Oscuro
showvery
similarpat-
terns
of growth (Julier
etal, 1995), they
arevery different for the RAPDs. This shows that they belong
todifferent gene pools but evolved simi-
larly
onthe morphological and agronomical points of view
in relation to similar natural selec- tionpressures. This dendrogram
mustbe
cau-tiously considered
because of the limited numberof loci included
in thepresent study.
As a conse-quence, bootstrapping
overthe bands would
yield low
levelsof reliability
because the bandsprovide different information.
Assuming
that theinitial sample
wasrepresen- tative of the populations,
thetechnique of
boot-strap
overindividuals
assuggested by Van Dongen (1995) proved
tobe successful
intesting
the differences between populations for the
extent
of
thewithin-population dissimilarity.
Thisstrategy also made
itpossible
toinvestigate
howrobust the relationships between populations
areagainst resamples
ofthe original data and
conse-quently against resampling
newseedlings
in thesame
populations. As shown by the results of the
consensus
tree, the nodes of the dendrograms
are
reasonably stable and would be found again
if 30 extra
seedlings
wereanalysed for
eachpop- ulation. It also suggests that
30individuals per
population
seems tobe
areliable sample size
even
for lucerne populations
with alarge
within-population dissimilarity.
Thissample size should be checked
in a newexperiment. Indeed,
thebootstrap method does
notgenerate any
new data and assumes that the initialsample
is a’true’
one.The possibility
of awrong initial
sam-ple
cannotbe avoided by resampling
inthe
sameset.
Using the methodological approach based
onAMOVA
andpresented
inthis paper
on a setof
populations and varieties, plant breeders
can useRAPD
markers
todistinguish between varieties and
tocompare
new onesfrom those previously registered. Such
anapproach
could be success-fully used
inthe DUS (distinction-uniformity-sta- bility)
test.Similarly,
it could beuseful
to distin-guish and
structuregenetic
resources.ACKNOWLEDGMENT
ML Crochemore was
supported by
afellowship
of theCNPq (Conselho
Nacional de Desenvolvimento Cientifico ETecnologico, Brazil).
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