Int. J. Agri. Agri. R.
International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub.net Vol. 8, No. 1, p. 71-80, 2016 OPEN ACCESS
RESEARCH PAPER
An overview of marker assisted selection and QTL mapping in cotton Makiya Rafiq1, Shoaib Liaqat2*, Rana Imtiaz Ahmed3, Muhammad Najeebullah4, Rana Touqeer Ahmad3, Abdul Karim3, Abdul Jabbar3 1
Department of Plant Breeding and Genetics, Bahauddin Zakariya University Multan, Pakistan
2
Vegetable Research sub-station, Bahawalpur, Pakistan
3
Cotton Research Station Multan, Pakistan
4
Vegetable Research Institute Faisalabad, Pakistan Article published on January 25, 2016
Key words: Cotton, molecular markers, marker-assisted selection, QTL mapping.
Abstract DNA markers are rapidly being developed for almost all the major crops. The most important markers are restriction fragment length polymorphisms (RFLPs), polymerase chain reaction (PCR) based markers such as random amplified polymorphic DNA (RAPD), and fingerprinting markers. DNA markers can supplement isozyme markers for monitoring trait improvement activities such as estimating genetic diversity in breeding populations, germplasm identification, verifying controlled crosses, and estimating seed efficiencies. As the number of DNA markers is potentially limitless, it should be possible to map individual quantitative trait loci (QTL) by linkage analysis with high-density maps. Twenty-first century agriculture will face frightening challenges to provide mankind with an appropriate level of food security while enhancing the sustainability of agricultural practices, lowering their environmental impact and preserving the remaining biodiversity. Marker assisted selection (MAS) have been widely adopted to improve resistance to biotic stresses, more modest results have been reported for the improvement of resistance to biotic constraints particularly drought and yield, mainly due to the elusive nature of the applicable quantitative trait loci (QTLs) and the unpredictability of their effects. In this article, what Marker assisted selection (MAS) is and why it is a good idea is described. MAS will probably exhaust genetic variation more hurriedly than phenotypic selection because many more cycles of selection are possible in a given time period using genomic compared to phenotypic selection. * Corresponding
Author: Shoaib Liaqat  shoaib87pk@hotmail.com
Rafiq et al. Page 71
Int. J. Agri. Agri. R. Introduction
In genetics, relative distance of genes on the genome
Cotton (Gossypium spp.) is the most extensively used
is mapped on the basis of the frequency of
natural fiber in textile manufacturing and most
recombination between genes estimated from scoring
abundantly grown oilseed crop (Campbell et al.,
genotypes of progeny of a cross. Mapping quantitative
2010). Globally, cotton production has been relatively
traits is difficult because the genotype is never
stable for the last many years, and, although it is
unambiguously determined from the phenotype.
native to the tropics and subtropics, including
Almost all QTL studies, regardless of the crop or trait
America, Africa and Asia. China, USA, India and
to which they are applied, have come to support a
Pakistan are the top four cotton-growing nations.
main result of the first study that even for highly complex traits, a small number of QTLs explained a
Development in genetic has delivered new tools for
large
exploring and labeling novel alleles and genes. These
complementary uses of the QTL approach have
tools can increase the proficiency of breeding
emerged: the fundamental and the applied (Prioul et
programmes by utilizing these in marker assisted
al., 1997). The first one, which is of interest for
selection. Molecular markers are the biochemical
physiologists, targets QTLs by determining their
constituents that play a vital role in taxonomy,
contribution
physiology,
etc.
macroscopic traits. The second use of the QTL studies
Molecular markers should not be considered as
is marker-assisted breeding (MAB) that is used for
normal genes, as they usually do not have any
tagging QTLs of interest so as to pyramid favorable
biological effect. Due to presence of diverse molecular
QTL alleles and break their linkage with detrimental
techniques and differences in their protocols require
alleles (Lee 1995; Ordon et al., 1998; Ribaut and
careful consideration in the selection of one or more
Hoisington 1998). A major challenge for MAS is to
of such marker types (Semagen et al., 2006). In
deal
conventional breeding, a breeder generally aims to
interactive and environment-dependent QTLs, such
agronomically related and interested traits through
as yield and yield-relating traits that often have low h2
hybridization in different parental lines and their wild
(Ribaut and Hoisington, 1998).
embryology,
plant
breeding
part
with
of
to
the
genetic
physiological
parameters
variability.
components
controlled
by
Two
of
multiple
relatives and also it depends on precise screening methods and availability of inbred lines. While,
This review article deals on the basic principles,
through molecular marker techniques it would be
advantages,
possible to accelerate the introgression of desirable
selection
genes among different varieties. It would also be
studies and as well as QTL mapping in cotton. We will
feasible to create genetic relationship between
also discuss the technical issues that play important
sexually incompatible species. The advancement in
role for translation of promising markers into
molecular makers for plant breeding was fist
effective marker assisted selection programs.
disadvantages
programme,
of
marker
marker traits
assisted
association
popularized in early 1980s when isozymes were used to speed up introgression of monogenic traits
Conventional Breeding and status of Molecular
(Tanksley and Rick, 1980). In cotton, about 145
Marker technology in Cotton
morphological markers have been identified but their
Modern crop varieties have been developed from
utilization in breeding programmes is limited because
plant populations that have shown genetic variability.
of their deleterious effects. Marker assisted selection
Selection, as a systematic process, consists of
mainly emphasize the traits which are difficult to
identification
manage through conventional phenotypic selection
coexisting within the population. In other words, the
due to expensive and time (Young and Tanksley,
selection changes the genetic structure of the
1989).
populations as a result of preserving superior alleles
and
use
of
superior
individuals
and discarding the undesirable ones. Cotton was
Rafiq et al. Page 72
Int. J. Agri. Agri. R. among the first species to which the Mendelian
Reddy et al. (2001), with the help of SSR gemomics
principles were applied and has a long history of
libraries identified 300 SSR markers (JESPR). Dow
improvement through breeding with sustained long-
Agro Science Seed Company has reported more than
term yield gains. A narrow genetic base especially
1,200 SSRs. In addition to generation of replicate
among agriculturally elite types is restraining their
enriched libraries for development of SSR markers,
utilization, and it is a bottleneck for cotton breeding
sequence databases represent a valuable resource for
and cultivar improvement. Further, cotton fiber
identification
productivity and quality aspects are genetically and
amplification in cotton sequences (ESTs, BAC end
physiologically complex. Breeding for such traits is
sequences and STCs) deposited in public databases
time consuming and difficult because of the polyploid
has also allowed the identification of microsatellite
nature of cotton.
DNA containing regions from G. hirsutum and G.
of
microsatellites.
The
rapid
arboreum which would be used to develop markers. The first hindrance faced by researchers was to
Saha et al. (2003) have shown that SSR loci can be
develop a standard extraction protocol to produce
identified from data mining of growing number of
high quality DNA appropriate for molecular analysis.
cotton EST sequences in databases with an efficiency
As cotton tissues include high level of polysaccharides
of 1 to 4.8% of sequenced ESTs. They identified over
and polyphenolic compounds which intermingle with
18,000 SSR-ESTs in different plant species including
proteins and nucleic acids, it poses problem in
cotton. Han et al. (2004) developed 544 SSR markers
extraction of high quality DNA for molecular scrutiny.
(NAU) from fibre ESTs from G. arboreum. Qureshi et
The
of
al. (2004) utilized 9,948 ESTs belonging to G.
polymorphism found within best upland cultivars.
hirsutum and designed 84 primer pairs (MGHES).
Most genetic studies in cotton have found a narrow
Park et al. (2005) developed Simple Sequence
genetic base in upland cotton (Van Esbroeck et al.,
Repeats (MUSS) and Complex Sequence Repeat
1998; Saha et al., 2003). Third complicating aspect is
(MUCS) primers from a total of 1232 ESTs.
second
challenge
is
the
low
level
the allotetraploid genome of the major cultivated cottons G. hirsutum and G. barbadense which means
Different DNA marker techniques used in cotton
that most "single copy loci" will actually exist as two
In cotton, diverse molecular techniques have been
unlinked loci and the equivalent loci from each
used and RFLP was the first DNA marker that was
subgenome must be determined. Further genetic
used in crop improvements. Meredith (1992), in a
redundancy
develop
study of heterosis and varietal origins investigated the
polymorphism based DNA markers. The physical size
first RFLP evaluation in upland cotton. RFLP
of the cotton genome is relatively large in a range of
analysis, in its original form, consists of DNA
2702 to 2246 Mb (Michaelson et al., 1991). Moreover,
digestion with a restriction enzyme, separation of the
several thousand microsatellite markers are now
restriction fragments by agarose gel electrophoresis,
available to saturate genetic maps of cotton. The first
transfer of separated restriction fragments to a filter
public microsatellite markers were developed at
by
Brookhaven National Laboratory. They identified
autoradiography. The differences in sizes of DNA
more than 500 microsatellite clones containing (GA)n
fragments may result from base substitutions,
and (CA)n repeats, the primer pairs were designated
additions, deletions, or sequence rearrangements
BNL. Liu et al. (2000) assigned several BNL
within restriction enzyme recognition sequences. The
microsatellites to the chromosomes using cytogenetic
major disadvantage of this technique is that a large
aneuploid stocks. An additional 150 (GA) n repeat loci
amount of DNA is required for each reaction and it is
designated CM were isolated at Texas A and M
labour intensive to apply to numerous samples.
University (Connell et al., 1998).
While, RAPD, the oldest PCR-based depends on use
makes
it
difficult
to
southern
blotting
and
detection
by
of short, random PCR primers to intensify random
Rafiq et al. Page 73
Int. J. Agri. Agri. R. portions of the genome technique (Williams et al.,
between genotypes of the same species. Li and Quiros
1990). RAPD has many advantages over RFLP
(2001) introduced this new marker technique;
technique as no preceding sequence information for a
Sequence related amplified polymorphism (SRAP)
genome is necessary. Several factors may influence
which involves preferential amplification of ORFs by
reproducibility of RAPD profile within and between
PCR. This technique combines simplicity, reliability,
laboratories
concentration,
moderate throughput ratio and facile sequencing of
reproducibility of thermocycler profiles, primer
selected bands. Further, it targets coding sequences in
quality and concentration, choice of DNA polymerase,
the genome and results in a moderate number of
and pipetting accuracy (Rafalski, 1997). RAPD
codominant markers. However, these techniques use
technique has been employed for marker assisted
no prior sequence information, and the markers
selection in the interspecific population concerning
generated are randomly distributed across the
Gossypium sturtianum and other species for getting
genome. In cotton this new marker technique is being
glandless seed and glanded plant type (Mergeai et al.,
used along with other markers (Lin et al., 2005; He et
1998). AFLP technique has been employed for
al., 2007) for saturating the genome.
including
DNA
estimating genetic diversity in cotton by Zhang et al. (2005). Amplified fragment length polymorphism
Introgression
of
technique was developed by Vos et al. (1995). It
Germplasm
involves digesting DNA with two different restriction
Currently, new molecular tools as the molecular
endonucleases (usually a four bases and six bases
markers have started to express their usefulness into
recognition sequence) and ligating adapters to the
practical
sticky fragment ends created by enzymes. PCR
identification, characterization, and manipulation of
amplification is then performed, which increases
the genetic variation on important agronomic traits
reproducibility of the technique. Polymorphism is
via quantitative trait loci (QTL) mapping. These
detected where there is an addition or loss of
molecular markers have been applied to unravel
restriction site.
many
plant
biological
Novel
breeding
questions
Alleles
by
in
from
Cotton
facilitating
gene
the
mapping,
population genetics, phylogenetic reconstruction, SSRs characterize a new class of genetic markers
paternity testing, forensic applications, comparative
which accelerated cotton genome mapping work. Liu
and evolutionary genomics, and map-based gene
et al. (2000) used 65 SSR primer pairs to amplify 70
cloning. The main reasons supporting the utilization
marker loci restricted to a specific cotton genome.
of molecular markers in cotton breeding programs
They are highly abundant in eukaryotic genome but
are the 100% heritability of the markers and their
also occur in prokaryotes at lower frequencies. The
lower cost. Hence, molecular markers are extensively
regions flanking the microsatellites are generally
being engaged in selection of traits with low
conserved and PCR primers relative to the flanking
heritability,
regions are used to amplify SSR- containing DNA
complex fiber productivity and quality traits from
fragments. The length of the amplified fragment will
native or exotic germplasm into elite cultivar via
vary according to the number of repeated residues
MAS. In plant breeding, MAS is a relatively new
(Ellegien, 1993). SSRs are now considered as the
concept, nevertheless the original selection concept
marker of choice for self-pollinated crops with little
per se has not changed; that is, the purpose of the
intraspecific polymorphism (Roder et al., 1998). Inter
selection is to search and preserve the best genotypes,
Simple Sequence Repeats (ISSR) technique uses
but using molecular markers. At the same time, it is
primers that are complimentary to a single SSR and
necessary to consider effectiveness and cost of MAS
anchored at either the 5' or 3' end with a one- to
(which is greatly influenced by the marker system
three-base extension. As a result, the high complex
used) besides polymorphism, technical feasibility,
identification,
and
introgression
of
banding pattern obtained will often differ greatly
Rafiq et al. Page 74
Int. J. Agri. Agri. R. and so forth. A highly saturated marker linkage map
cottons using AFLP markers to establish the extent of
is necessary for effective MAS.
genetic diversity, they reported that AFLP technique differentiated two diploid species (G. arboreum and
Applications of Molecular Marker Technology in
Gossypium herbaceum) from each other and as well
Cotton
as from tetraploid (G. hirsutum and G. barbadense).
Plant breeders wish to have their new varieties
Genetic diversity of 31 available Gossypium species,
distinct, uniform and stable. So, DNA markers have
three sub-species and one interspecific hybrid was
been employed as a promising method of finger
studied by Khan et al. (2000). They screened these
printing. High resolution of molecular markers
genotypes with 45 RAPD primers to distinguish the
compared with other markers makes them a valuable
genotypes. The result indicated interspecific genetic
tool for varietal and parental identification for
relationship of several species as related to their
protection of cotton breeder’s rights. Similar to other
centre of origin. Abdalla et al. (2001) determined
crops, an understanding of the evolutionary and
intra and inter specific genetic relationships of G.
genomic relationships of cotton species and cultivars
herbaceum, G. arboreum, G. raimondii, G. hirsutum
is critical for further utilization of extant genetic
and G. barbadense using AFLP technique. They
diversity in the development of superior cultivars (El-
showed that AFLP technique is useful for estimating
zik and Thaxton, 1989). Apart from this, molecular
genetic
markers are employed for genetic diversity estimation
taxonomic levels, and for analyzing the evolutionary
in place of morphological markers as number of
and historical development of cotton cultivars at the
morphological descriptors in various crops. Initially
genomic level. Kumar et al. (2003) studied genetic
isozymes were applied to Gossypium as a taxonomical
diversity of 30 elite cotton germplasm lines including
tool to distinguish differences at species level. Cherry
20 G. hirsutum, seven G. arboreum, one each of G.
et al. (1972) observed minor differences in isozyme
herbaceum,
banding pattern of A and B genome species whereas
klotzschianum
greater band variation between the more distantly
morphological characters. They reported one 1100 bp
related species in the C, D and E genome. Brubaker
G. arboreum specific band. G. klotzchianum was
and Wendel (1994) examined genetic diversity in
reported to exhibit the least similarity coefficient of
upland cultivars using RFLP markers. Their study
0.5 with all other species studied.
relationships
G.
across
a
thurberi using
RAPD
wide
and
range
of
Gossypium
markers
and
investigated that despite surveying 205 loci from 23 upland cultivars, only 6 had unique, multilocus
In plant genome analysis of cotton through MAS is
genotypes again suggesting limited diversity. RAPD
adding new dimensions to evolutionary theories.
marker technique has been used to differentiate
Through molecular markers mapping and localization
cultivars resistant to aphids, mites and jassids (Geng
of genes providing breeders information for polygenic
et al., 1995). Wajahatulla and Stewart (1997) studied
analysis of cotton. Assortment of exotic germ plasm
the genomic similarity among some of the wild
has opened new doors to genetic variation. Because
species by utilizing random primers. They reported
genetic variation in cotton is constantly restricted for
that there are high intraspecific genetic similarities
some special traits like yield, thus translating them to
for
more vulnerable to disease and insects spates and
Gossypium
Gossypium
nelsonii,
sturtianum
Gossypium
and
australe,
Gossypium
bickii.
endangering the potential for constant genetic
Genetic similarity of Gossypium nandewarense with
improvement over a large span.
two accessions of Gossypium sturtianum was high
Basic limitations that affects marker assisted
and median in placement, indicating that it should
selection
not be considered as a separate species. Pillay and Meyers (1999) utilized variation in ribosomal RNA
To evaluate the hurdles, substantial investments have
genes (rDNA) to distinguish New and Old world
been made by the private sector for the development
Rafiq et al. Page 75
Int. J. Agri. Agri. R. of genomics tools for crops of greatest commercial
QTL
interest including maize (Zea mays L.), soybean
(Gossypium hirsutum L)
mapping
and
(Glycine max L.) canola (Brassica spp), cotton
Genetic maps are also essential to locate the genes
(Gossypium hirsutum L.) and sunfl ower (Helianthus
that are involved in the expression of traits. This can
annuus L.). This has included simultaneous MAS for
easily be done for simple heritable traits based on one
multiple traits such as yield, biotic and abiotic stress
gene, but is also possible for complex traits that are
resistance, and quality attributes, most of these are
based on more genes (QTL). In the latter case, large
polygenic in nature. Marker-assisted selection has
segregating populations (n >100) are required to
also been used in public breeding programs for gene
unravel the number of loci involved in the trait
introgression and gene pyramiding, particularly for
(Jeuken et al., 2001). In cotton, the contribution of
major gene-controlled disease resistance in primary
new markers to generate a more saturated Upland
crops but also in crops of less interest to the private
cotton linkage map will enhance our understanding of
sector. Using these approaches, commercial breeding
its genetics and improve cotton breeding efficiency,
programs have reported twice the rate of genetic gain
especially when quantitative traits are implicated.
over phenotypic selection with these and other MAS
Most agronomically important characteristics of
breeding programs in the public sector worldwide, it
crops are inherited quantitatively and are under the
is surprising that there are still very few documented
influence of both the environment and the genetic
releases or registrations of new varieties resulting
factors determined by QTL (Gelderman, 1975). Since
from MAS. The limited success in developing finished
it is not practical to infer an individual’s genotype
breeding products using MAS is further illustrated by
from its phenotype, it is difficult task to identify and
the numbers of publications that have been generated
characterize the QTL. Information on QTL analysis
on QTL mapping versus MAS since the discovery of
has accumulated quickly, and will eventually help the
the first generation of DNA markers (Miklas et al.,
manipulation of the complex traits in cotton breeding
2003). This is reflected in the annual number of
(Tanksley, 1993). In cotton, 24 several QTL studies
articles with the term “marker-assisted selection,”
have been conducted using both intra- and inter-
which has consistently lagged behind the number of
specific crosses mainly using RFLPs as markers to
articles with the term “quantitative trait locus” or
construct linkage maps. There are a large number of
“quantitative trait loci” by a factor of three for the past
different methods for identifying the QTL segregating
decade. Next, it is necessary to develop simple, quick,
in a mapping population. These methods can be
and cheap technical protocols for tissue sampling,
divided into methods that model a single QTL at a
DNA extraction, genotyping, and data collection that
time (single QTL methods) and methods that model
remain reliable and precise when routinely applied in
the effect of several QTL at once (multiple QTL
large-scale systems. Molecular breeders must also
methods). Single QTL methods include analysis of
develop tailored sample and data tracking and
variance (t test or F test) (Soller et al., 1976), interval
management systems to ensure effective integration
mapping
of genotyping into breeding programs. Although MAS
markers and regression mapping (an approximation
has been successfully applied in cultivar development
to interval mapping).
(maximum
its
utilization
likelihood
in
using
cotton
flanking
in the private sector. Some limitations in assimilation of useful genomics create hindrance in Qtl mapping
Mapping QTLs of traits contributing to yield
and marker assisted selection breeding programs.
The availability of molecular markers has provided
Therefore,
to
different markers suitable for use in cotton research.
understand the number of copies of genes, their
For this reason, many intraspecific maps of G.
regulation and their expression.
hirsutum were also constructed (Zhang et al., 2005).
further
studies
are
necessary
In recent years, more and more recombination inbred lines developed from previous temporary populations
Rafiq et al. Page 76
Int. J. Agri. Agri. R. have been used for QTL mapping. Although many
characterized; and so on. This is why further studies
QTL studies have been completed on interspecific and
on QTL mapping of yield traits are still required.
intraspecific populations in upland cotton, few have been performed in G. barbadense. In order to
Conclusion
determine the genetic basis of economic traits of G.
Marker-assisted selection becoming successful for
barbadense, a complete genetic map comprising
incorporation and pyramiding major genes, however
SSRs, EST- SSRs , SRAPs, and SSCP-SNPs for yield
many objections remain to be resolved before MAS
and yield components – including lint index (LI),
can routinely provide added value for breeding very
seed index (SI), lint yield (LY), seed cotton yield
complex traits. In the private sector, MAS has been
(SCY) and number of seeds per boll (NSPB). Coupled
much more dramatic, but it continues to be
with polymerase chain reaction-based markers, which
dominated by transgene introgression programs and
are efficient, economic, and easy to handle, QTL
to a lesser extent backcross conversion programs for
mapping of yield and yield components would benefit
simple traits. In other sense, it is expected that the
marker-assisted selection, map-based cloning, and
greatest growth in public sector MAS will be for
yield manipulation. QTL mapping in cotton was first
mono- and oligogenic traits that are difficult or
reported in 1996 .However, this QTL mapping was
expensive to screen using conventional phenotyping
not reliable because of a computer coding error in the
methods.
QTL data. After that, on the basis of the genetic map
marker aided selection in breeding programs are: 1. A
with 31 linkage group constructed by Shappley et al.
firmly associated marker to the gene concerned and 2.
(1996b, 1998b), a total of 100 QTLs were identified by
Population which is polymorphic for the marker and
means of mixed linear model running in QTLMaper
the gene which are in great linkage disequilibrium. A
software. Meredith (2000) localized 26 QTLs on a
new field of genetics focusing on global gene
restriction fragment-length polymorphism (RFLP)
expression has emerged based on extrapolating
linkage map with 81 marker loci, of which two QTLs
traditional techniques of linkage and association
conferred LY and two QTLs controlled seed weight.
analysis to the thousands of transcripts measured by
However, the genetic effects were not analyzed for
microarrays. The future involvement will depend on
these QTLs.
our capability to map QTLs and their effective
Two
incorporation
fundamentals
in
to
Transgenic
marker
for
implementing
assisted
Other researchers, such as Saranga et al. (2001) have
programs.
also mapped QTLs that influence yield and yield-
responsibility in future as through this we can get
related traits, but these data were not comparable
substantial improvement in traits concerned in
because they were based on different linkage maps.
shortest time. MAS greatly enhance the productivity
The cotton yield breeding program paid attention to
and effectiveness in plant breeding programs as
the improvement of LY, but the other yield
compared
components that affected LY were not ultimately
Through cotton genomics research, potentially new
goals. The previous results are available to cotton
tools like microarrays, ESTs and proteomics are being
breeders and impel cotton genetic manipulation, but
introduced allowing the identification of multiple
limitations on application are still existing because of
genes and QTLs in cotton. With the accessibility of
the complexity of molecular markers (RFLP), which
such information and tools, the early stages of plant
were not available for marker-assisted selection
breeding programs will become much more efficient
(MAS), low reliability
because of the remote
in a design-led way. However, there will continue to
generation for traits from the generation for genetic
be no replacement for multi location replicated
mapping; low marker density and low marker
evaluation trials for screening elite breeding lines for
coverage of the entire genome; no genetic effects
the selection and confirmation of finished products
to
approach
conventional
will
breeding
breeding
have
its
methods.
Rafiq et al. Page 77
Int. J. Agri. Agri. R. before distribution to local breeding companies and farmers’ fields.
Geng CD, Gong ZZ, Huang JQ, Zhang ZC. 1995. Identification of difference between cotton cultivars
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