Upload
muhammad-younas
View
213
Download
1
Embed Size (px)
Citation preview
Molecular characterization of oilseed rape accessions collectedfrom multi continents for exploitation of potential heterotic groupthrough SSR markers
Muhammad Younas • Yingjie Xiao •
Dongfang Cai • Wei Yang • Wei Ye •
Jiangsheng Wu • Kede Liu
Received: 15 May 2011 / Accepted: 30 November 2011 / Published online: 28 January 2012
� Springer Science+Business Media B.V. 2012
Abstract Evaluation of the genetic diversity in conven-
tional and modern rapeseed cultivars is essential for con-
servation, management and utilization of these genetic
resources for high yielding hybrid production. The objec-
tive of this research was to evaluate a collection of 86
oilseed rape cultivars with 188 simple sequence repeat
(SSR) markers to assess the genetic variability, heterotic
group identity and relationships within and between the
groups identified among the genotypes. A total of 631
alleles at 188 SSR markers were detected including 53 and
84 unique and private alleles respectively, which indicated
great richness and uniqueness of genetic variation in these
selected cultivars. The mean number of alleles per locus
was 3.3 and the average polymorphic information content
was 0.35 for all microsatellite loci. Unweighted Pair Group
Method with Arithmetic Mean clustering and principal
component analysis consistently divided all the cultivars
into four distinct groups (I, II, III and IV) which largely
coincided with their geographical distributions. The Chi-
nese origin cultivars are predominantly assembled in
Group II and showed wide genetic base because of its high
allelic abundance at SSR loci while most of the exotic
cultivars grouped into Group I and were highly distinct
owing to the abundant private and unique alleles. The
highest genetic distance was found between Group I and
IV, which mainly comprised of exotic and newly synthe-
sized yellow seeded (1728-1 and G1087) breeding lines,
respectively. Our study provides important insights into
further utilization of exotic Brassica napus accessions in
Chinese rapeseed breeding and vice versa.
Keywords Brassica napus L. � Allelic variation � Private
allele � Genetic distance � SSRs markers
Introduction
Rapeseed (Brassica napus L.; genome AACC, 2n = 38) is
today the most extensively cultivated crop species in the
crucifer family (Brassicaceae) and a major oil crop grown
in temperate, tropical and subtropical climates for high
quality vegetable oil, feed protein and biofuel purposes. It
covers about 30.2 Mha area along with other related oil-
seed Brassicas (e.g. mustards) in the whole world with a
current production of around 61 Mt (FAOSTAT 2009,
http://faostat.fao.org) and ranks the third among the oil
seed crops after soybean and palm in production of vege-
table oils [1], while fifth in the production of oil seed
proteins [2]. B. napus was first introduced to China in the
1930’ to 1940’ from Europe and Japan independently [3].
More or less, it is a winter oil crop and expanding rapidly
as a rotation crop following rice [4]. The local rapeseed
breeders developed most of the oilseed rape cultivars
through various classical breeding methods and interspe-
cific hybridization between European B. napus and the
indigenous B. rapa varieties. The ‘double low’ elite vari-
eties called ‘‘canola’’ were also introduced to China from
Europe, Canada and Australia and are used as parents by
M. Younas and Y. Xiao contributed equally to this work.
Electronic supplementary material The online version of thisarticle (doi:10.1007/s11033-011-1306-0) contains supplementarymaterial, which is available to authorized users.
M. Younas � Y. Xiao � D. Cai � W. Yang � W. Ye �J. Wu � K. Liu (&)
National Key Laboratory of Crop Genetic Improvement,
National Center of Plant Gene Research (Wuhan), Huazhong
Agricultural University, Wuhan 430070, China
e-mail: [email protected]
123
Mol Biol Rep (2012) 39:5105–5113
DOI 10.1007/s11033-011-1306-0
breeder in China to develop a series of double zero rape-
seed varieties, which are adapted to local conditions. Now
B. napus is the most important oil crop in China, which
occupied about 85% of total production area of oilseed rape
[5].
Brassica napus is predominantly self-pollinating but has
an open flower that promotes cross-pollination. In some
situations, up to 36% outcrossing has been observed among
plants in close proximity [6]. Most oilseed rape cultivars
are developed through pedigree breeding methods and
released as open-pollinated populations derived from
inbred plants [7]. It is well established that almost all the
current oilseed rape cultivars passed through a series of
bottlenecks selection processes during its domestication
since its origination [8]. Most of the modern B. napus
cultivars are difficult to be differentiated mainly due to
their narrow genetic background [4] because of breeding
for low erucic acid content [9] as well as the introgression
of low glucosinolates (GSL) genes [10].
Estimation of genetic diversity is very important in
designing crop improvement programs, management of
germplasm and most importantly, in assisting breeders to
understand the structure of B. napus germplasm for pre-
diction of maximal variation in heterotic crosses. As the
emphasis on specific quality traits has considerably nar-
rowed the gene pool of oilseed rape breeding materials
compared to its parental species, genetic variability is
restricted with regard to many valuable characters [11].
The selection of genitors and characterization of the
existing genetic variability is indispensable to improve
efficiency of breeding programs. Therefore, the classifica-
tion of breeding line into heterotic groups and the crossing
between distinct genetic types contribute to widen genetic
variances [12]. Significant heterosis for seed yield exists in
oilseed rape crop. Yield increases of 30 ± 60% over mid-
parent value have been observed in F1 hybrids [13, 14],
which have motivated the development of hybrid cultivars.
Positive correlation between heterosis and parental genetic
diversity was demonstrated for hybrid combinations within
the same ecotype group like spring by spring [15, 16],
winter by winter [17] and semi-winter by semi-winter
rapeseed hybrids [18].
There are various techniques available for evaluation of
crop genetic variability, such as morphological, biochem-
ical and molecular markers. Molecular markers have been
increasingly employed for analysis of genetic diversity
[19]. A variety of molecular markers have been used to
gauge the genetic variation among diverse group of
important crops in the genus Brassica, such as restriction
fragment length polymorphisms (RFLPs) [20], amplified
fragment length polymorphisms (AFLPs) [11, 21], random
amplified polymorphic DNA (RAPDs) [22] and simple
sequence repeats (SSRs) [23, 24] etc. However, it is
generally recognized that the best candidates for rapeseed
characterization are the SSR or microsatellites markers,
which are highly informative [25]. Their advantages for
diversity studies include uniform genome coverage, high
levels of polymorphism, co-dominance inheritance fashion,
easy-to-implement and highly reproducible compared to
other markers [26–29].
The co-dominant nature of microsatellite polymor-
phisms makes them particularly useful for map alignment
among different crosses. A potentially more important use
in genetic dissection of breeding lines through molecular
markers would be the allocation of genotypes to specific
heterotic groups, which would reduce both cost and labor
by eliminating intra-group crossings. Charcosset et al. [30]
suggested that genetic distance can not accurately predict
hybrid performance unless the DNA markers used in the
analysis were linked to the genes affecting the trait. The
frequent occurrence of simple repeat sequence in coding
DNA regions has rendered them suitable for marker-
assisted selection (MAS) of simple traits in oilseed rape
and genetic distance determination.
In the present study, SSR markers were evaluated in
rapeseed with the ultimate purpose to: (i) quantify the allelic
diversity to determine the genetic relationship among the
selected 86 accessions of conventional and modern Chinese
and exotic rapeseed cultivars, (ii) compare the polymor-
phism and allele frequencies in each of the identified group
and the introgression between the identified groups and (iii)
suggest potential heterotic groups among the genotypes
included in the study using genetic distance as measured by
the SSR markers.
Materials and methods
Plant materials and DNA extraction
The collection consists of 86 conventional and modern
cultivars, of which 59 are from across the China while ten,
nine, five and three from Europe, Canada, Australia and
Japan, respectively. All the cultivars and their origins are
presented in Table S1. Seeds of each cultivar were grown in
the Experimental Farm of Huazhong Agriculture University
Wuhan during 2008 and 2009 growing seasons. Total
genomic DNA was isolated using cetyltrimethylammonium
bromide (CTAB) from 200 to 500-mg samples of fresh
leaves collected from a single plant of each accession
according to the previous procedure [31]. The purity and
integrity of the DNA was confirmed by electrophoresis in
1% agarose gel with visualization under UV light after
staining with ethidium bromide and then adjusted to a uni-
form concentration (25 ng/ll) with double distilled water
(ddH2O) for SSR analysis.
5106 Mol Biol Rep (2012) 39:5105–5113
123
SSR genotyping and PCR amplification
The 86 cultivars were genotyped using 188 SSR markers
randomly distributed across the 19 chromosomes of rapeseed.
Because B. napus is an amphidiploid species with the AACC
genome originated from two diploid ancestral species which
have large-scale segmental or whole-genome duplication
events [32] and SSR markers usually detect multiple loci,
which make it difficult to assign alleles to specific loci. In this
study, only single-locus SSR markers from different resources
were used to eliminate ambiguous genotyping as described by
Chen et al. [33]. Markers prefixed with BnGMS [34], BnEMS
[35], BrGMS [36] and BoGMS [37] were developed in our
laboratory while markers prefixed with BRAS and CB were
developed by Piquemal et al. [38], markers prefixed with Ol,
Na, and BRMS were obtained from http://www.brassica.info
/resources/markers.php, and markers prefixed with sN, sR and
sS were developed by Agriculture and Agri-Food Canada
(http://brassica.agr.gc.ca/index_e.shtml). The chromosomal
identity and positions of these selected 188 SSR markers were
noted from the published genetic maps derived from the
double haploid population, BnZNDH (B. napus) [34, 36, 37]
and B. rapa physical map (http://www.brassica.info/resource
/sequencing/status.php) [36]. Their names, linkage group and
locations are summarized in Table S2. Marker assay followed
the protocol described by Cheng et al. [34].
Data collection and analysis
Individual alleles at each SSR marker across all the cultivars
were scored in ascending order of the amplified fragment
size. The number of alleles per locus, polymorphic infor-
mation content (PIC) value and average gene diversity at
each locus were calculated through PowerMarker software
version 3.25 [39]. The allelic data was also scored as ‘‘1’’ for
the presence or ‘‘0’’ for the absence of ones fragments as
described by Hasan et al. [24] to measure genetic relatedness
among genotypes using Unweighted Pair Group Method
with Arithmetic Averages (UPGMA) cluster analysis.
Principal component analysis (PCA) was done to show the
distribution of the genotypes in scatter-plot based on their
similarity matrix generated with Dice’s method using the
software NTSYS-PC 2.1 [40]. Genetic differentiation
between pairs of groups was calculated with pairwise Fst, a
measure of heterozygosity within subpopulations relative to
the total population [41].
Unique and private allele analysis
The importance of private allele in genetic diversity and
breeding has been thoroughly discussed by Chen et al. [33].
But still the criteria for classification of unique and private
alleles are not unified. Here we attempted to clarify the
difference between these terms. Unique alleles are specific
to single accession across the whole population under
study, and private alleles can be those which prevail in
more than one accession but only in single cluster/group.
We calculated unique and private alleles in our population
according to the above mentioned criteria from allelic
frequency determined by PowerMarker software version
3.25 [39].
Results
Allelic variation at SSR loci
All of the 188 analyzed markers were polymorphic and
produced a total of 631 alleles across the 86 cultivars
(Table 2). The number of alleles at each locus ranged from
2 to 13, corresponding to an average of 3.37 per locus thus
revealing a high level of genetic diversity in the selected
oilseed rape accessions. PIC values ranged from 0.04
(BoGMS1467) to 0.73 (BRMS008 markers). PIC is
regarded as one of the important features of the molecular
markers and can be used to evaluate the differentiation
ability of the markers [42]. Average PIC of all the SSR
markers was 0.35, indicating the ability of utilized markers
to differentiate the rapeseed genotypes. BoGMS1515 and
Na12-G12 markers have PIC values higher than 0.7. The
majority of polymorphic SSR loci generated two alleles
(36.6%) followed by three alleles (28.7%) (Table 1), and a
large proportion of markers exhibited high discrimination
power.
The mean value of gene diversity at over all loci in the
whole collection was 0.41, and a large variation in gene
diversity existed among different loci. The highest diver-
sity (0.77) was observed at the locus BoGMS1515 while
the lowest diversity (0.045) at the locus BoGMS1467. The
mean values of the four identified groups (I, II, III, and IV)
was 0.34, 0.35, 0.33 and 0.31, respectively. Gene diversity
Table 1 Allelic variation among polymorphic SSR loci
Number of alleles Number of SSR loci Polymorphic loci (%)
2 70 36.64
3 55 28.75
4 27 14.13
5 18 9.42
6 15 7.85
7 1 0.52
8 1 0.52
9 1 0.52
11 1 0.52
13 1 0.52
Mol Biol Rep (2012) 39:5105–5113 5107
123
is equivalent to the expected heterozygosity for diploid
data, and it is defined as the probability that two randomly
chosen alleles are different in the sample.
Clustering and principal component analysis
In order to explore genetic relationships of the selected 86
accessions of domestic and imported oilseed rape cultivars,
the genetic similarity coefficients between accessions were
calculated and a dendrogram was constructed depicting
relationships among the accessions (Fig. 1). All the 86
rapeseed cultivars were clearly discriminated at a genetic
similarity level of about 0.93 and broadly classified into four
groups (I, II, III and IV). Group I consists of 19 cultivars
mostly exotic except two Chinese cultivars (Zhongza-H8002
and SC-UG6) that are nested together at the genetic simi-
larity level of 0.68. Group II comprises of 58 accessions,
predominantly all are from China and clustered at the genetic
similarity level of 0.73. Six cultivars united together to form
Group III at the genetic similarity levels ranging from 0.70 to
0.72, of which four are released by different research insti-
tutes of China and two imported from Europe. Whereas,
interestingly two newly synthesized yellow seeded Chinese
cultivars (1728-1 and G1087) clustered with one European
cultivar (Naleo) to form Group IV at the genetic similarity
level of 0.60, representing quite diverse group. Although all
the clusters are very discrete and well differentiated from
each other, but none of these clusters completely represent
cultivars from one region, thus indicating a constant intro-
gression between local and exotic varieties.
It needs to mention that one-dimension clustering meth-
ods in UPGMA would be difficult to capture adequate
information if complicated genetic relationship exists
among cultivars. The UPGMA clustering sometimes results
in discrepancies depending on the choice of similarity index
and can be biased by rare alleles. Therefore the general
pattern of genetic diversity was further verified with PCA
which confirmed the UPGMA clustering positions of the
cultivars described above (Fig. 2).
Unique and private SSR alleles in populations
Overall 53 unique alleles were identified across all the
accessions (Table 2). The highest number of five unique
alleles was found in Rexi followed by Surpass-400 which
has four unique alleles (Table S3). Group III and IV have
10 and 5 unique alleles respectively, which reflects a bit
higher ratio than Group II (26) and I (12) with respect to
their number of genotypes. Among the analyzed SSR loci,
BRMS008 and BRAS087 revealed relatively higher num-
ber of unique alleles (5 and 3, respectively). This suggests
that these particular SSR markers can be useful in cultivar
identification and registration. Presence of unique alleles
has been previously reported for soybean [43], barley [44]
and rapeseed [45].
Genetic distinctiveness of the B. napus germplasm in
different populations was described by the prevalence of
private alleles. A total of 84 private alleles were found in all
the four groups, of which Group II has the highest number of
private allele (43) while Group III is the only population
having no private allele (Table 2). Fifty-two out of 84 pri-
vate alleles were detected in only two cultivars in different
groups (Table S3). Some of the private alleles were highly
represented within populations. For example, Allele-3 of
BrGMS4027, Allele-1 of BnEMS525 and Allele-3 of
BrGMS4027 marker were shared by 20, 10 and 10 genotypes
of Group II respectively, while Allele-2 of both BoG-
MS1118 and of BoGMS2468 were shared by 8 cultivars of
Group I and II separately. The richness of private alleles was
also evaluated in each group. The number of private alleles
observed in each group varied significantly from each other,
with 9 alleles per cultivar in Group IV, 0.73 in Group I and
0.63 in Group II (Table 2). Surprisingly Group III does not
have any private allele although it is highly diverse with
respect to unique alleles. Interestingly, 27 private alleles
were found in Group IV and all of these existed only in two
cultivars (1728-1 and G1087).
Genetic diversity of groups
Overall allelic diversity within the groups was estimated
based on the number of alleles per group. As a result, the
level of genetic diversity was highest in Group II (0.35)
followed by Group I (0.34), Group III (0.33), and Group IV
(0.31) (Table 2). The Group II also contained the most
alleles per locus and had the highest total number of alleles
of the four identified groups. Group I and II appeared to be
more diverse (within the groups) in terms of gene diversity,
total number of alleles, alleles per locus, number of unique
and private alleles (Table 2). Additionally, the genetic
Table 2 The genetic diversity index for all oilseed rape accessions
and groups identified in this study based on 188 SSR markers
Statistic Overall Cluster groups
I II III IV
Sample size 86 19 58 6 3
Allele no. 631 446 548 388 337
Allele/locus 3.37 2.37 2.91 2.06 1.79
Gene diversity 0.41 0.34 0.35 0.33 0.31
Major allele frequency 0.68 0.73 0.73 0.74 0.75
Private allele no. 84 14 43 0 27
Private allele richness 0.97 0.73 0.63 0 9
Unique allele no. 53 12 26 10 5
PIC value mean 0.35 0.29 0.30 0.27 0.25
5108 Mol Biol Rep (2012) 39:5105–5113
123
distance among the groups measured by Nei’s minimum
distance and pairwise Fst were consistent. The largest
genetic distance (0.26) was found between Group I and IV
(Table 3). It is worth to mention that two of the three
cultivars in Group IV are newly synthesized oilseed rape
inbred line (1728-1, G1087). They have white flower with
yellow seed and were produced through repeated hybrid-
ization between B. napus and Brassica species including
Raphanus sativus L., B. alboglabra Baily by the breeding
research group in our laboratory. So on the basis of high
genetic distance, we postulate that crossings between the
accessions of these two groups can produce high hybrid
vigor. The second highest distance was found between
Groups II and IV and Group III and IV; and slightly
smaller distance was seen between Group I and III and
Group I and II. The lowest distance was found between
Group II and III. The identified heterotic patterns should be
field tested between these groups to confirm what appears
to be promising alternative heterotic patterns based on the
SSR markers.
Fig. 1 Dendrogram for 86
domestic and imported
cultivated rapeseed accessions
based on cluster analysis
(UPGMA) of similar
coefficients
Mol Biol Rep (2012) 39:5105–5113 5109
123
Discussion
The earlier studies have established that SSRs show very
high level of polymorphism in plants [25]. In this study, 86
accessions representing a wide range of conventional and
modern rapeseed cultivars originating from different geo-
graphical locations across China and others rapeseed
growing countries were surveyed using a total of 188 SSR
markers.
Our results make it obvious that the data generated from
a set of 188 SSR markers were highly informative and the
86 cultivars were distinguished successfully. The average
number of alleles per SSR marker in this study was 3.3,
lower than the 7.3 alleles per primer pair obtained from
SSR marker analysis of 96 accessions of the European gene
pool, which included a broader range of varieties [24] and
higher than the genetic survey of Chinese and Swedish
oilseed rape, generating 2.7 per SSR marker [46]. This
relatively small number is most likely due to three factors:
the polymorphism of SSR markers, the diversity of germ-
plasm accessions, and the sensitivity of DNA fragment
separation systems. However, since the SSR markers
selected were evenly distributed along the rapeseed gen-
ome, the genetic relationships revealed by this study within
the investigated groups of rapeseed cultivars are repre-
sentative and meaningful. The association between number
of alleles per locus and PIC means that either estimator is
useful for determining the value of a marker for diversity
studies. Allelic abundance at SSR loci reflects the overall
genetic diversity inside a population and will influence the
genetic distance from other populations, based on dissim-
ilarity matrices. As the Group II had more alleles compared
to Group I which reflects that Chinese cultivars are geneti-
cally more diverse than the imported varieties of rapeseed. It
corroborates the findings of Zhou et al. [46] who mentioned
that genetic diversity within Chinese genotypes was broad
compared to that of Swedish material.
Cultivar relationships as revealed by UPGMA clustering
(Fig. 1) generally reflected the tendency of cultivars to
associate with breeding institutes and geographic location.
For instance, cultivars assembling in the Group I were pre-
dominantly introduced from different rapeseed growing
countries. The highest number of alleles (548) was identified
in Group II, the largest group comprising 58 cultivars which
are mostly released by various rapeseed breeding institutes
Fig. 2 Plot of the first and second principal components calculated from the correlation matrix of 631 polymorphic fragments. The letterscorrespond to the identified groups in Table 2
Table 3 Genetic distance between identified oilseed rape groups
I II III IV
I 0 0.13 0.15 0.26
II 0.25 0 0.04 0.25
III 0.25 0.17 0 0.18
IV 0.33 0.54 0.308 0
The top diagonal is Nei minimum distance and the bottom diagonal is
pairwise Fst
5110 Mol Biol Rep (2012) 39:5105–5113
123
of China except for three Japanese (G1178, Nonglin22,
Nonglin40), three Canadian (Ienvenu, Jiaoyou3, SV-pyriter)
and one cultivar from Europe (Dac-chosen). The clustering
pattern shows that all the clusters are not completely
homogeneous which reinforces the fact that the breeders
have integrated cultivars released from other companies into
their germplasm pool and also verified that breeding origin
had a substantial impact on cultivar heterogeneity. An earlier
study also accounted that a Chinese B. napus population
frequently experienced interspecific hybridization such as
with B. rapa [33].
Among the total of 631 alleles, 53 were unique across all
the four groups. Group II has the highest number of unique
alleles (26) which might be due to its large number of cul-
tivars (56). Rexi, Surpass-400 and 1728-1 have more unique
alleles (5, 4 and 3 respectively) compared to other genotypes,
demonstrating that these cultivars have had limited genetic
exchange with other cultivars and therefore may have unique
alleles for various (functional) traits as well. So, these cul-
tivars could be used to enhance the diversity of other elite
breeding material. Unique alleles are useful not only in
specific categorization of genotypes, but also for their sub-
sequent utilization in breeding and plant development as
unique markers. Furthermore, cultivars in Group III were
found to be genetically divergent from each other due their
low level of genetic similarity. The cultivars belonging to
Group IV carry plenty of private alleles, indicating that the
origins of these cultivars are different from other and
genetically distinct. Our result demonstrated that most of the
imported cultivars clustering in Group I are rich in private
alleles (0.73) as compared to cultivars of Group II (0.63)
which are mainly from China. But in contrast, Chen et al.
[33] found that the richness of private SSR alleles in Chinese
rapeseed is greater than those of Australia, Europe or Can-
ada. The abundant private alleles detected in Group IV
collection in the present study demonstrated that it could
serve as an efficient and timely avenue to broaden the genetic
base of elite breeding material of rapeseed in China.
Assessment of the amount of genetic variation in oilseed
rape accession is direly needed for its sustainable production
and breeding. It provides a general blue print for choosing
inbreed lines to make suitable cross combinations for par-
ticular breeding purpose. The diverse and unique oilseed
rape genotypes identified in this study may therefore repre-
sent a useful resource for widening the genetic base and
improving heterotic potential in oilseed rape accessions
cultivated in China. Butruille et al. [47] described significant
yield increase in spring oilseed rape hybrids through intro-
gression of winter germplasm. However, this also requires
backcrossing to re-establish the desired seasonality. But all
the diverse genotypes in our study are semi-winter cultivars,
therefore, the backcrossing for season adoptability is not
required.
Selection of desirable parents is an important task for the
production of high yielding hybrid because heterosis is
associated with the interaction of different alleles at a locus
[48]. It has been suggested that molecular diversity can be
used to select parents for hybridization. Genetic distances
between populations, individuals or lines estimated through
molecular markers have been widely used for descriptive
analyses in crop plants, e.g., reconstructing breeding histo-
ries, describing patterns of genetic diversity, and assigning
lines to heterotic or other biologically or economically
important groups. We found that considerable high genetic
distance exists between Group I and IV (Table 3) which may
render them the ultimate candidate for obtaining significant
heterosis in rapeseed hybrid breeding programs. Genetic
distance is useful for predicting yield potential and heterosis
of intra-subspecific hybrids [49] and a positive correlation
has been found between genetic distances determined by
molecular markers and heterosis in rapeseed [15–18].
Almost all the cultivars in Group I are exotic and Group IV
have two distinct newly resynthesised lines (1728-1 and
G1087), rich in unique and private alleles with a wide
genetic base. So it would be the best choice to cross the
accessions between these groups to develop productive and
adaptable hybrids. Seyis et al. [50] produced high yielding
hybrid from crosses between genetically diverse resynthes-
ised rapeseed and adapted oilseed types.
It has been reported that not all polymorphic DNA
fragments contribute to heterosis due to the considerable
number of fragments that are either located in non-encoded
regions or have no association with agronomically impor-
tant traits [30]. It is well established that favorable alleles at
a loci controlling agronomic traits are rapidly fixed in any
genotype through artificial selection. Many reports have
demonstrated that a large number of SSR markers occur in
well-characterised genome regions containing quantitative
trait loci, thus increasing their potential relevance for
allele–trait association analysis [51]. Therefore the finding
of this study provided significant information to better
understand the current situation of heterotic groups and
diversity patterns at the molecular level in the selected
cultivars of rapeseed.
Our study evaluated the genetic diversity within and
between selected local and imported rapeseed accessions
and gauges the relationships among these cultivars. These
informations would help researchers and breeders to select
highly distinct crossing parents for the development of
mapping population and breeding of B. napus. The diver-
sity could be maximized for new crosses that would reduce
the breeding cost by eliminating the evaluation of intra-
group hybrids. The diverse groups we found are useful as
preliminary heterotic groups (following field crossing for
confirmation), and hybrid rapeseed breeding can be greatly
boost up by use of this information.
Mol Biol Rep (2012) 39:5105–5113 5111
123
Acknowledgments The research was supported by the National
Natural Science Foundation of China (No. 31071452) and the Doc-
toral Fund of Ministry of Education of China (No. 20100146110019).
References
1. Becker HC, Loptien H, Robbelen G (1999) Breeding: an over-
view. In: Gomez-Campo C (ed) Biology of Brassica coenospe-
cies. Elsevier, Amsterdam, pp 413–460
2. Salunkhe DK, Chavan JK, Adsule RN, Kadam SS (1992) World
oilseeds, chemistry technology and utilization. Van Nostrand
Reinbold, New York, p 59
3. Liu HL (1985) Rapeseed genetics and breeding. Shanghai Sci-
ence and Technology Press, Shanghai, pp 38–42
4. Zhou WJ (2001) Oilseed rape. In: Zhang GP, Zhou WJ (eds) Crop
cultivation. Zhejiang University Press, Hangzhou, pp 153–178
5. Fu T (2000) Breeding and utilization of rapeseed hybrid. Hubei
Science Technology, Hubei, pp 167–169
6. Rakow G, Woods DL (1987) Outcrossing in rape and mustard under
Saskatchewan prairie conditions. Can J Plant Sci 67:147–151
7. Snowdon RJ, Luhs W, Friedt W (2006) Oilseed rape. In: Kole C
(ed) Genome mapping and molecular breeding, vol 2: oilseeds.
Springer Verlag, Heidelberg, pp 55–114
8. Prakash S, Hinata K (1980) Taxonomy, cytogenetics and origin
of crop Brassicas, a review. Opera Bot 55:1–57
9. Downey RK (1964) A selection of Brassica campestris L. con-
taining no erucic acid in its seed oil. Can J Plant Sci 44:499–504
10. Krzymanski J (1970) Inheritance of thioglucoside content by
rapeseed (Brassica napus). Journees Internationales sur le Colza.
C.E.T.I.O.M, 212–218
11. Seyis F, Snowdon R, Luhs W, Friedt W (2003) Molecular char-
acterization of novel resynthesized rapeseed (Brassica napus)
lines and analysis of their genetic diversity in comparison with
spring rapeseed cultivars. Plant Breed 122:473–478
12. Messmer MM, Melchinger AE, Herrmann RG, Boppenmaier J
(1993) Relationships among early European maize inbreeds: II.
Comparison of pedigree and RFLP data. Crop Sci 33:944–950
13. Lefort-Buson M, Guillot-Lemoine B, Dattee Y (1987) Heterosis
and genetic distance in rapeseed (Brassica napus L.): crosses
between European and Asiatic selfed lines. Genome 29:413–418
14. Gehringer A, Spiller T, Basunanda P, Snowdon R, Friedt W
(2007) New oilseed rape (Brassica napus) hybrids with high
levels of heterosis for seed yield under nutrient-poor conditions.
Breed Sci 57:315–320
15. Diers BW, McVetty PBE, Osborn TC (1996) Relationship
between heterosis and genetic distance based on restriction
fragment length polymorphism markers in oilseed rape (Brassicanapus L.). Crop Sci 36:79–83
16. Riaz A, Li G, Quresh Z, Swati MS, Quiros CF (2001) Genetic
diversity of oilseed Brassica napus inbred lines based on
sequence related amplified polymorphism and its relation to
hybrid performance. Plant Breed 120:411–415
17. Ali M, Copeland LO, Elias SG, Kelley JD (1995) Relationship
between genetic distance and heterosis for yield and morpho-
logical traits in winter canola (Brassica napus L.). Theor Appl
Genet 91:118–121
18. Yu CY, Hu SW, Zhao HX, Guo AG (2005) Genetic distances
revealed by morphological characters, isozymes, protein and
RAPD markers and their relationships with Hybrid performance
in oilseed rape (Brassica napus L.). Theor Appl Genet 110:
511–518
19. Prasad M, Varshnez RK, Roy JK, Balyan HS, Gupta PK (2000)
The use of microsatellites for detecting DNA polymorphism,
genotype identification and genetic diversity in wheat. Theor
Appl Genet 100:584–592
20. Diers BW, Osborn TC (1994) Genetic diversity of oilseed
Brassica napus germplasm based on restriction fragment length
polymorphisms. Theor Appl Genet 88:662–668
21. Lombard V, Baril CP, Dubreuil P, Blouet F, Zhang D (2000) Genetic
relationships and fingerprinting of rapeseed cultivars by AFLP:
consequences for varietal registration. Crop Sci 40:1417–1425
22. Mailer RJ, Wratten N, Vonarx M (1997) Genetic diversity
amongst Australian canola cultivars determined by randomly
amplified polymorphic DNA. Aust J Exp Agric 37:793–800
23. Tommasini L, Batley J, Arnold GM, Cooke RJ, Donini P, Lee D,
Law JR, Lowe C, Moule C, Trick M, Edwards KJ (2003) The
development of multiplex simple sequence repeat (SSR) markers
to complement distinctness, uniformity and stability testing of rape
(Brassica napus L.) varieties. Theor Appl Genet 106:1091–1101
24. Hasan M, Seyis F, Badani A, Pons-Kuhnemann J, Friedt W, Luhs
W, Snowdon R (2006) Analysis of genetic diversity in the
Brassica napus L. gene pool using SSR markers. Genet Resour
Crop Evol 53:793–802
25. Powell W, Maachray GC, Proven J (1996) Polymorphism
revealed by simple sequence repeats. Trends Plant Sci 1:215–222
26. Jones CJ, Edwards KJ, Castiglione S, Winfield MO, Sala F, Van
de Weil AC, Bredemeijer G, Vosman B, Matthes M, Maly A,
Brettschneider R, Bettini P, Buiatti M, Maestri E, Malcevschi A,
Marmiroli N, Aert R, Volckaert G, Rueda J, Linaacero R, Vazque
A, Karp A (1997) Reproducibility testing of RAPD, AFLP and
SSR markers in plants by a network of European laboratories.
Mol Breed 3:381–390
27. Pejic I, Ajmore-Marsan P, Morgante M, Kozumplick V, Casti-
glioni P, Taramino G, Motto M (1998) Comparative analysis of
genetic similarity among maize inbred lines detected by RFLPs,
RAPDs, SSRs, and AFLPs. Theor Appl Genet 97:1248–1255
28. Cho YG, Ishii T, Temnykh S, Chen X, Lipovich L, McCouch SR,
Park WD, Ayres N, Cartinhour S (2000) Diversity of microsat-
ellites derived from genomic libraries and GenBank sequences in
rice (Oryza sativa L.). Theor Appl Genet 100:713–722
29. Blair MW, Diaz JM, Hidalgo R, Diaz LM, Duque MC (2007)
Microsatellite characterization of Andean races of common bean
(Phaseolus vulgaris L.). Theor Appl Genet 116:29–43
30. Charcosset AM, Lefort-Buson M, Gallais A (1991) Relationship
between heterosis and heterozygosity at marker loci: a theoretical
computation. Theor Appl Genet 81:571–575
31. Li G, Quiros CF (2001) Sequence-related amplified polymor-
phism (SRAP), a new marker system based on a simple PCR
reaction: its application to mapping and gene tagging in Brassica.
Theor Appl Genet 103:455–461
32. Deng W, Zhou L, Zhou YT, Wang YJ, Wang ML, Zhao Y (2010)
Isolation and characterization of three duplicated PISTILLATA
genes in Brassica napus. Mol Biol Rep. doi:10.1007/s11033-010
-9981-9
33. Chen S, Nelson MN, Ghamkhar K, Fu T, Cowling WA (2008)
Divergent patterns of allelic diversity from similar origins: the
case of oilseed rape (Brassica napus L.) in China and Australia.
Genome 51(1):1–10
34. Cheng X, Xu J, Xia S, Gu J, Yang Y, Fu J, Qian X, Zhang S, Wu
J, Liu K (2009) Development and genetic mapping of microsat-
ellite markers from genome survey sequences in Brassica napus.
Theor Appl Genet 118:1121–1131
35. Fan C, Cai G, Qin J, Li Q, Yang M, Wu J, Fu T, Liu K, Zhou Y
(2010) Mapping of quantitative trait loci and development of
allele-specific markers for seed weight in Brassica napus. Theor
Appl Genet 121:1289–1301
36. Xu J, Qian X, Wang X, Li R, Cheng X, Yang Y, Fu J, Zhang S,
King GJ, Wu J, Liu K (2010) Construction of an integrated
genetic linkage map for the A genome of Brassica napus using
5112 Mol Biol Rep (2012) 39:5105–5113
123
SSR markers derived from sequenced BACs in B. rapa. BMC
Genomics 11:594
37. Li H, Chen X, Yang Y, Xu J, Gu J, Fu J, Qian X, Zhang S, Wu J,
Liu K (2010) Development and genetic mapping of microsatellite
markers from whole genome shotgun sequences in Brassicaoleracea. Mol Breed. doi:10.1007/s11032-010-9509-y
38. Piquemal J, Cinquin E, Couton F, Rondeau C, Seignoret E,
Doucet I, Perret D, Villeger M, Vincourt P, Blanchard P (2005)
Construction of an oilseed rape (Brassica napus L.) genetic map
with SSR markers. Theor Appl Genet 111:1514–1523
39. Liu K, Muse SV (2005) PowerMarker: an integrated analysis
environment for genetic marker analysis. Oxford University
Press, Oxford, pp 2128–2129
40. Rohlf FJ (2000) NTSYS-PC 2.1. Numerical taxonomy and mul-
tivariate analysis system. Exeter Software, Setauket
41. Weir B, Cockerham C (1984) Estimating F-statistics for the
analysis of population structure. Evolution 38:1358–1370
42. Junjian N, Colowit PM, Mackill D (2002) Evaluation of genetic
diversity in rice subspecies by microsatellite markers. Crop Sci
42:601–607
43. Wang LX, Guan RX, Liu ZX, Chang RZ, Qiu LJ (2006) Genetic
diversity of Chinese cultivated soybean revealed by SSR markers.
Crop Sci 46:1032–1038
44. Gong X, Westcott S, Li C, Yan G, Lance R, Sun D (2009)
Comparative analysis of genetic diversity between Qinghai–
Tibetan wild and Chinese landrace barley. Genome 52:849–861
45. Zou J, Jiang C, Cao Z, Li R, Long Y, Chen S, Meng J (2010)
Association mapping of seed oil content in Brassica napus and
comparison with quantitative trait loci identified from linkage
mapping. Genome 53(11):908–916
46. Zhou WJ, Zhang GQ, Tuvesson S, Dayteg C, Gertsson B (2006)
Genetic survey of Chinese and Swedish oilseed rape (Brassicanapus L.) by simple sequence repeats (SSRs). Genet Resour Crop
Evol 53:443–447
47. Butruille DV, Guries RP, Osborn TC (1999) Increasing yield of
spring oilseed rape hybrids through introgression of winter
germplasm. Crop Sci 39:1491–1496
48. Jones DF (1945) Heterosis resulting from degenerative changes.
Genetics 30:527–542
49. Xiao J, Li J, Yuan L, McCouch SR, Tanksley SD (1996) Genetic
diversity and its relationships to hybrid performance and heterosis
in rice as revealed by PCR-based markers. Theor Appl Genet
92:637–643
50. Seyis F, Friedt W, Luhs W (2006) Yield of Brassica napus L.
hybrids developed using resynthesised rapeseed material. Field
Crops Res 96:176–180
51. Li YC, Korol AB, Fahima T, Nevo E (2004) Microsatellites
within genes: structure, function, and evolution. Mol Biol Evol
21:991–1007
Mol Biol Rep (2012) 39:5105–5113 5113
123