a microsatellite (ssr) based linkage map of brassica rapa
TRANSCRIPT
![Page 1: A microsatellite (SSR) based linkage map of Brassica rapa](https://reader037.vdocuments.net/reader037/viewer/2022100509/57501e081a28ab877e8e9719/html5/thumbnails/1.jpg)
ResearchPap
er
New Biotechnology �Volume 26, Number 5 �November 2009 RESEARCH PAPER
A microsatellite (SSR) based linkage mapof Brassica rapa
Rahul Kapoor1, Surindar Singh Banga2 and Shashi Kaur Banga2
1University Seed Farm, Ladhowal, Punjab Agricultural University, Ludhiana, Punjab, India2Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
In the present study we describe the construction of a genetic linkage map for the Brassica rapa (AA)
genome that will act as a key resource in undertaking future structural and functional genomic studies in
B. rapa. A F2 mapping population consisting of 48 F2 individual plants developed following
hybridization of 2 inbred lines Bathari mandi and IC 331817 was used to construct the map. The map
comprises 53 SSR markers derived from 3 different public domain resources. Nine linkage groups along
with a small subgroup were identified and designated as R1–R9 through alignment and orientation using
SSR markers in common with existing B. rapa reference linkage maps. The total length of the genetic
linkage map was 354.6 cM with an average interval of 6.6 cM between adjacent loci. The length of linkage
groups ranged from 28.0 cM to 44.2 cM for R6 and R1A, respectively. The number variability of markers in
the 9 linkage groups ranged from 3 for R6 to 10 for R1. Of the 53 SSR markers assigned to the linkage
groups, only 5 (9.4%) showed deviation from the expected segregation ratio. The development of this
map is vital to the genome integration and genetic information and will enable the international
research community to share resources and data for the improvement of B. rapa and other cultivated
Brassica species.
IntroductionThe genus Brassica is one of the core genera in the tribe Brassicaceae
and includes several crops with wide adaptation under a variety of
agroclimatic conditions. Of the six cultivated species of Brassica, B.
rapa (AA, 2n = 20), B. nigra (BB, 2n = 16) and B. oleracea (CC,
2n = 18), are monogenomic diploids which have contributed, by
hybridization, to the allopolyploids (amphiploids) B. juncea
(AABB, 2n = 36), B. napus (AACC, 2n = 38) and B. carinata (BBCC,
2n = 34). Economically, Brassica species are important sources of
vegetable oil, fresh and preserved vegetables and condiments. B.
napus, Brassica rapa, B. juncea and B. carinata provide about 12% of
the worldwide edible vegetable oil supply [1]. B. rapa (AA) and B.
oleracea (CC) provide many vegetables that contribute to a healthy
human diet, being a valuable source of dietary fiber, vitamin C and
other health enhancing factors such as anticancer compounds [2].
Corresponding author: Kapoor, R. ([email protected])
1871-6784/$ - see front matter � 2009 Elsevier B.V. All rights reserved. doi:10.1016/j.nbt.2009.09.003
B. rapa comprises several morphologically diverse crops, including
Chinese cabbage, pakchoi, turnip and broccoletto, as well as
oilseeds that include yellow and brown Sarsons [3]. The B. rapa
(A genome) therefore has worldwide importance in agriculture,
with the quality and economic value of derived products such as
processed vegetable edible oil through the crops B. napus (oilseed
rape, Canola) and B. juncea (mustard oil).
Assigning molecular markers to the linkage groups and con-
structing genetic maps is an important step toward analysing the
genomes of crop species. Such maps provide a better insight into
genome organization, evolution of the crop species and synteny
with related species. From the crop improvement point of view,
the genetic maps are useful for tagging and cloning genes of
economically important traits, marker assisted breeding and gene
pyramiding. The high degree of neutral DNA polymorphisms of
most Brassica species [4] has facilitated the development of many
genetic linkage maps, where common sets of DNA markers and/or
www.elsevier.com/locate/nbt 239
![Page 2: A microsatellite (SSR) based linkage map of Brassica rapa](https://reader037.vdocuments.net/reader037/viewer/2022100509/57501e081a28ab877e8e9719/html5/thumbnails/2.jpg)
RESEARCH PAPER New Biotechnology � Volume 26, Number 5 �November 2009
FIGURE 1
Brassica rapa specific SSR primer ENA17 showing polymorphism in B. rapa F2population.
Research
Pap
er
parental genotypes have been used along with common nomen-
clature [5–7]. Several genetic linkage maps based on a range of
marker types, including Restriction Fragment Length Polymorph-
ism (RFLPs), Random Amplified Polymorphic DNA (RAPD), Simple
Sequence Repeats (SSRs) and Amplified Fragment Length Poly-
morphisms (AFLPs), have been produced for B. rapa [8–15]. PCR
based markers have been widely used in developing genetic link-
age maps for B. oleracea [16,7], B. nigra [17], B. juncea [18] and B.
napus [19–21]. However, there is only limited published data on
SSR-based genetic maps in B. rapa [13], especially the markers that
may provide anchors to the B. rapa genome and are quickly
transferable to other populations.
In recent years, SSRs or microsatellites have been recognized as
useful molecular markers in marker assisted selection (MAS), the
analysis of genetic diversity, population analysis and other pur-
poses in various species [22]. SSR markers are a class of co-domi-
nant markers that are readily transferable because they exhibit a
high degree of polymorphism and locus specificity. For B. rapa,
several SSRs have recently been described, of which 90% success-
fully amplified in other Brassica species, and 40% amplified in
Arabidopsis [23,24]. In the present study we have generated a
detailed linkage map of B. rapa using genome specific SSR markers.
To establish the identity of linkage groups corresponding to R1–
R10, we used SSR markers from [23,25].
Materials and methodsPlant materialMapping population consisting of 48 individual F2 plants was
developed following hybridization of 2 inbred lines Bathari mandi
and IC 331817. Bathari mandi is a land race of yellow sarson
collected from Himalayas while IC 331817 is a brown sarson type.
Both of the genotypes differ significantly for their morphophy-
siological traits.
Plant DNA extractionDNA was isolated using a standard procedure [26]. Young leaves
were collected, ground to powder using liquid nitrogen and auto-
claved in pestle mortar. Pre-warmed (658C) CTAB extraction buffer
(900 ml) was added and samples incubated at 658C for 45 min.
TABLE 1
Salient features of genetic linkage map of Brassica rapa
Linkage groupof B. rapa
Number ofmarkers assigned
Density(markers/cM)
R1 10 4.40
R1A 5 8.84
R2 5 6.46
R3 4 7.40
R4 4 8.90
R5 6 5.90
R6 3 9.33
R7 4 8.07
R8 5 6.46
R9 7 5.85
a Adjacent markers >1 cM.b Distance between adjacent markers �15 cM.
240 www.elsevier.com/locate/nbt
Eight hundred microliters chloroform was added by centrifugation
at 12,000 rpm for 20 min and supernatant was transferred to a
fresh tube. DNA precipitation and RNAse treatments were as per
standard procedures.
Assessment of quantity and quality of DNADNA quantity and quality was assessed by electrophoresis in
agarose gel (0.8%) stained with ethidium bromide 1%, using
0.5� TBE electrophoresis buffer. Quantitative estimates of sample
DNA were made by visual comparison with DNA of known con-
centration.
PCR amplification and SSR analysisA total of 130 SSR primer sequences were selected from the
information available in public domain [23,25,15]. DNA amplifi-
cation was carried out in volumes of 20 ml, containing 2.1 units of
Taq polymerase, 0.38 mM of primers, 5.0 mM of dNTPs, 0.5 mM of
MgCl2, 1� PCR buffer and 45 ng of genomic DNA as templates.
The PCR profile was: initial 4 min at 948C and 40 cycles each with
1 min DNA denaturation at 948C, 1 min at appropriate annealing
Number ofintervalsa
Number ofgapsb
Length oflinkage group (cM)
6 1 44.0
3 1 44.2
4 1 32.3
3 1 29.6
3 1 35.6
5 1 35.3
2 1 28.0
3 1 32.3
4 1 32.3
5 1 41.0
![Page 3: A microsatellite (SSR) based linkage map of Brassica rapa](https://reader037.vdocuments.net/reader037/viewer/2022100509/57501e081a28ab877e8e9719/html5/thumbnails/3.jpg)
New Biotechnology �Volume 26, Number 5 �November 2009 RESEARCH PAPER
temperature and 2 min extension at 728C with final extension of
7 min at 728C. PCR was performed in a 96-well microtiter plate in
MJ Research, PTC 200TM or Applied Biosystems thermal cycler.
Products were analyzed by agarose gel electrophoresis.
Linkage analysis and map constructionMarkers that were reproducibly polymorphic between the parent
lines were scored in the F2 population. Linkage analysis and map
FIGURE 2
A SSR map of Brassica rapa showing the location of 53 SSR markers based on 48 F2markers in cM (Kosambi function) are shown on the left side of each chromosomeLinkage group R4; (E) Linkage group R5; (F) Linkage group R6; (G) Linkage group
construction were performed using Mapmaker software [27]. Seg-
regating data were sorted according to locus order for each linkage
group using MS Excel. This facilitated detection of errors asso-
ciated with putative ‘double recombinant’ events and guided
visual checking of original autoradiographs and revision of data
points where these had been misscored or typed. All editing
operations were recorded and are traceable. The mapping function
of Kosambi [28] was used because of the independent crossover
plants of Bathari mandi� IC 331817 population. The genetic distances of SSR
. (A) Linkage group R1, R1A; (B) Linkage group R2; (C) Linkage group R3; (D)R7; (H) Linkage group R8; (I) Linkage group R9.
www.elsevier.com/locate/nbt 241
ResearchPap
er
![Page 4: A microsatellite (SSR) based linkage map of Brassica rapa](https://reader037.vdocuments.net/reader037/viewer/2022100509/57501e081a28ab877e8e9719/html5/thumbnails/4.jpg)
RESEARCH PAPER New Biotechnology � Volume 26, Number 5 �November 2009
Research
Pap
er
events in different meiotic phases during the development from F1
to F2. Two point, three point and multipoint analysis was used to
determine the best order of marker loci within the linkage groups.
Maximum LOD score of 2.0–2.5 and recombination fraction of 40–
50 were used. The most possible order of marker in each group was
determined using ‘compare’ and ‘ripple’ commands. In case of
more than one possible arrangement of linkage groups, the one
with smallest genetic linkage distance between adjacent marker
loci of the linkage groups was chosen to construct the genetic map.
Linkage maps were visualized using MapChart Version 2.1 [29].
Results and discussionPolymorphism surveyThe polymorphism survey using microsatellite (SSR) based primers
for assaying F2 population was carefully analyzed (see supplemen-
tary data). Of the 130 SSR primers selected from information
available in public domain, 62 (47.7%) showed polymorphic
banding pattern in F2 population of a cross between B. rapa cv.
Bathari mandi � B. rapa cv. IC 331817. Both of the genotypes differ
significantly for their morphophysiological traits. Perhaps it was
the reason that a high frequency of SSR primers used in the study
was polymorphic. Of 62 polymorphic SSR markers, 53 were
assigned to 9 linkage groups of B. rapa and the remaining 68
SSR primer pairs were either unspecific as shown by smear or
superfluous bands (20 primer pairs) or did not amplify at all (48
primer pairs). Ten SSR markers (Ra2G03, Ra2C05, Ra2A06, Ra2G05,
Ra1A06, Ra1G07, BRMS 44, GOL2, KBF19 and KBHB20) detected
more than one segregating locus (Fig. 1).
Linkage group assembly and distribution of markersA total of 53 SSR loci were assigned to 9 linkage groups with LOD
score value of 2.0. The genetic map had a total map length of
354.6 cM, with an average distance of 6.6 cM between two loci
(Table 1). The whole B. rapa genome could be assembled into nine
(R1–R9) linkage groups (Fig. 2A–I). No SSR marker could be
anchored to R10. A subgroup (R1A) was created within R1 linkage
group because of unavailability of linked SSR markers that could
fill the large gap. The length of linkage groups ranged from 28.0 cM
242 www.elsevier.com/locate/nbt
for R6 to 44.2 cM for R1A. The number variability of markers in the 9
linkage groups ranged from 3 for R6 to 10 for R1. The number of
intervals as determined on the basis of mapped points in the
linkage groups varied from two for linkage group R6 to six for
R1. As far as gaps are concerned, one each for all the linkage groups
was observed, that too at the position of first loci. Skewed segrega-
tion of markers is a common feature in most of the Brassica linkage
maps. Of the 53 SSR markers assigned to the linkage groups, only 5
(9.4%) showed deviation from the expected segregation ratios of
1:2:1 or 3:1 supporting the findings by [8,11,13,14]. However,
some markers showed conspicuously high x2 values which was
in each case caused by the reduced frequency of any one of the
parental allele as shown in [30]. Besides biased selection of parental
genotypes during F2 population development, other reported
explanations for the frequent occurrence of segregation distortion
include loss of chromosomes [31], the presence of gene conversion
events [32] and homologous recombination [33]. The markers
showing distorted segregation were distributed randomly along
all the linkage groups, except R6.
ConclusionThe use of 53 SSR markers enabled us to align and orientate 9
linkage groups of B. rapa and more SSR primers are now proposed
to be used to saturate this framework linkage map to ensure greater
genome coverage. The linkage map reported here is therefore a key
resource in undertaking future structural and functional genomic
studies in B. rapa.
AcknowledgementWe thank Kuldeep Singh (Molecular Geneticist, School of
Agricultural Biotechnology, PAU, Ludhiana, Punjab, India) for his
immense support in providing data analysis with microsatellite
primers and use of MapMaker software in developing a linkage
map.
Appendix A. Supplementary dataSupplementary data associated with this article can be found, in
the online version, at doi:10.1016/j.nbt.2009.09.003.
References
1 Labana, K.S. and Gupta, M.L. (1993) Importance and origin. In Breeding Oilseed
Brassica (Labana, K.S. et al. eds), pp. 1–20, Springer-Verlag
2 Fahey, J.W. and Talalay, P. (1995) The role of crucifers in cancer chemoprotection.
In Phytochemicals and Health (Gustin, D.L. and Flores, H.E., eds), pp. 87–93,
American Society of Plant Physiologists
3 Gomez-Campo, C. and Prakash, S. (1999) Origin and domestication. In Biology of
Brassica Coenospecies (Gomez-Campo, C., ed.), pp. 33–58, Elsevier
4 Figdore, S.S. et al. (1988) Assessment of the degree of restriction fragment length
polymorphism in Brassica. Theor. Appl. Genet. 75, 833–840
5 Parkin, I.A. et al. (1995) Identification of the A and C genomes of amphiploid
Brassica napus (oilseed rape). Genome 38, 1122–1133
6 Parkin, I.A. et al. (2005) Segmental structure of the Brassica napus genome based on
comparative analysis with Arabidopsis thaliana. Genetics 171, 765–781
7 Sebastian, R.L. et al. (2000) An integrated AFLP and RFLP Brassica oleracea linkage
map from two morphologically distinct doubled-haploid mapping populations.
Theor. Appl. Genet. 100, 75–81
8 Song, K.M. et al. (1991) A linkage map of Brassica rapa (syn. campestris) based on
restriction fragment length polymorphism loci. Theor. Appl. Genet. 82, 296–304
9 Chyi, Y.S. et al. (1992) A genetic linkage map of restriction fragment length
polymorphism loci for Brassica rapa (syn. campestris). Genome 35, 746–757
10 Teutonico, R.A. and Osborn, T.C. (1994) Mapping of RFLP and qualitative trait loci
in Brassica rapa and comparison to the linkage maps of B. napus, B. oleracea, and
Arabidopsis thaliana. Theor. Appl. Genet. 89, 885–894
11 Nozaki, T. et al. (1997) Linkage analysis among loci for RAPDs, isozymes and some
agronomic traits in Brassica campestris L. Euphytica 95, 115–123
12 Kim, J.S. et al. (2006) A sequence-tagged linkage map of Brassica rapa. Genetics 174,
29–39
13 Suwabe, K. et al. (2006) SSR-based comparative genomics between Brassica rapa and
Arabidopsis thaliana: the genetic origin of clubroot resistance. Genetics 173, 309–319
14 Soengas, P. et al. (2007) Identification of quantitative trait loci for resistance to
Xanthomonas campestris pv. campestris in Brassica rapa. Theor. Appl. Genet. 114, 637–
645
15 Choi, S.R. et al. (2007) The reference genetic linkage map for the multinational
Brassica rapa genome sequencing project. Theor. Appl. Genet. 115, 777–792
16 Cheung, W.Y. et al. (1997) Comparison of the genetic maps of Brassica napus and
Brassica oleracea. Theor. Appl. Genet. 94, 569–582
17 Truco, M.J. and Quiros, C.F. (1994) Structure and organization of the B genome
based on a linkage map in Brassica nigra. Theor. Appl. Genet. 89, 590–598
18 Pradhan, A.K. et al. (2003) A high-density linkage map in Brassica juncea (Indian
mustard) using AFLP and RFLP markers. Theor. Appl. Genet. 106, 607–614
![Page 5: A microsatellite (SSR) based linkage map of Brassica rapa](https://reader037.vdocuments.net/reader037/viewer/2022100509/57501e081a28ab877e8e9719/html5/thumbnails/5.jpg)
New Biotechnology �Volume 26, Number 5 �November 2009 RESEARCH PAPER
ResearchPap
er
19 Foisset, N. et al. (1996) Molecular mapping analysis in Brassica napus using
isozyme. RAPD and RFLP markers on a doubled haploid progeny. Theor. Appl.
Genet. 93, 1017–1025
20 Lombard, V. and Delourme, R. (2001) A consensus linkage map for rapeseed
(Brassica napus L.): construction and integration of three individual maps from DH
populations. Theor. Appl. Genet. 103, 491–507
21 Piquemal, J. et al. (2005) Construction of an oilseed rape (Brassica napus L.) genetic
map with SSR markers. Theor. Appl. Genet. 111, 1514–1523
22 Gupta, P.K. and Varshney, R.K. (2000) The development of and use of
microsatellite markers for genetic analysis and plant breeding with emphasis on
bread wheat. Euphytica 113, 163–185
23 Suwabe, K. et al. (2002) Isolation and characterization of microsatellites in Brassica
rapa L. Theor. Appl. Genet. 104, 1092–1098
24 Suwabe, K. et al. (2004) Characteristics of microsatellites in Brassica rapa genome
and their potential utilization for comparative genomics in cruciferae. Breed. Res.
54, 85–90
25 Lowe, A.J. et al. (2003) Efficient large-scale development of microsatellites for
marker and mapping applications in Brassica crop species. Theor. Appl. Genet. 108,
1103–1112
26 Doyle, J.J. and Doyle, J.L. (1990) Isolation of plant DNA from fresh tissue. Focus 12,
13–15
27 Lander, E.S. et al. (1987) Mapmaker: an interactive computer package for
constructing primary genetic linkage maps of experimental and natural
populations. Genetics 121, 174–181
28 Kosambi, D.D. (1944) The estimation of map distance from recombination values.
Ann. Eugen. 12, 172–175
29 Voorrips, R.E. (2002) Mapchart: software for the graphical presentation of linkage
maps and QTLs. J. Hered. 93, 77–78
30 Saal, B. et al. (2001) Microsatellite markers for genome analysis in
Brassica II. Assignment of rapeseed microsatellites to the A and C genomes
and genetic mapping in Brassica oleracea L. Theor. Appl. Genet. 102,
695–699
31 Kasha, K.J. and Kao, K.N. (1970) High frequency haploid production in barley
(Hordeum vulgare L.). Nature 225, 874–876
32 Nag, D.K. et al. (1989) Palindromic sequences in heteroduplex DNA inhibit
mismatch repair in yeast. Nature 340, 318–320
33 Armstrong, K.C. and Keller, W.A. (1982) Chromosome pairing in haploids of
Brassica oleracea. Can. J. Genet. Cytol. 24, 735–739
www.elsevier.com/locate/nbt 243