An overview of marker assisted selection and QTL mapping in cotton

Page 1

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

References

(G. hirsutum) using the RAPD method. Jiangsu

Abdallah AM, Reddy OUK, El-Zik KM, Pepper

Journal of Agricultural Sciences 11, 21-24.

AE. 2001. Genetic diversity and relationships of diploid and tetraploid cottons revealed using AFLP.

Han Z, Guo W, Song X, Zhang T. 2004. Genetic

Theoretical and Applied Genetics 102, 222-229.

mapping of ESTderived microsatellites from the diploid Gossypium arboreum in allotetraploid cotton.

Brubaker CL, Wendel JF. 1994. Reevaluating the

Molecular Genetics and Genomics 272, 308-327.

origin of domesticated cotton (Gossypium hirsutum L.)

using

nuclear

restriction

fragment

length

He DH, Lin ZX, Zhang XL, Nie YC, Guo XP,

polymorphism (RFLPs). American Journal of Botany

Zhang YX, Li W. 2007. QTL mapping for economic

81, 1309-1326.

traits based on a dense genetic map of cotton with PCR-based markers using the interspecific cross of

Campbell B, Saha S, Percy R, Frelichowski J,

Gossypium hirsutum Vs Gossypium barbadense.

Jenkins J, Park W, Mayee C, Gotmare V,

Euphytica 153(1-2), 181-197.

Dessauw D, Giband M. 2010. Status of the Global Cotton Germplasm Resources. Crop Science 50, 1161-

Jeuken M, Wijk V, Peleman J, Lindhout. 2001.

1179.

An integrated interspecific AFLP map of lettuce (Lactuca) based on two L. sativa L. saligna F2

Cherry JP, Katterman FRH, Endrizzi JE. 1972.

populations. Theoretical and Applied Genetics 103,

Seed esterases, leucine, and catalases of species of the

638-647.

genus Gossypium. Theoretical and Applied Genetics 42, 218–226.

Khan SA, Hussain D, Askari E, Stewart JM, Malik KA, Zafar Y. 2000. Molecular phylogeny of

Connell JP, Pammi S, Iqbal MJ, Huizinga T,

Gossypium sp. by DNA fingerprinting and cotton

Reddy AS. 1998. A high through put procedure for

Gossypium

capturing

fingerprinting. Theoretical and Applied Genetics 103,

microsatellites

from

complex

plant

genomes. Plant Molecular Biology 16, 341-349. Ellegien

H.

1993.

Genomic

analysis

hirsutum

examined

using

DNA

547-554. with

Kumar P, Singh K, Vikal Y, Radhawa LS,

microsatellite markers. Ph.D Dissertation. University

Chahal GS. 2003. Genetic diversity studies of elite

of Agricultural Science, Swedish (Unpublished).

cotton germplasm lines using RAPD markers and morphological characteristics. Indian Journal of

El-Zik

KM,

Thaxton

PM.

1989.

Genetic

Genetics and Plant Breeding 63(1), 5-10.

improvement for resistance to pests and stresses in cotton. In: Integrated Pest Management Systems and

Lee M. 1995. DNA markers and plant breeding

Cotton Production. John Wiley and Sons, NY pp. 191-

programs. Advances in Agronomy 55, 265-344.

224. Li G, Quiros CF. 2001. Sequence – related Geldermann H. 1975. Investigations on inheritance

amplified polymorphism (SRAP), a new marker

of quantitative characters in animals by gene markers

system based on a simple PCR reaction: its

methods. Theoretical and Applied Genetics 46, 319-

application to mapping and gene tagging in Brassica.

330.

Theoretical and Applied Genetics 103, 455-461.

Rafiq et al. Page 78


Int. J. Agri. Agri. R. microsatellites in an interspecific recombinant inbred Lin Z, He D, Zhang X, Nie Y, Guo X, Feng C,

(RIL) cotton population. Molecular Genetics and

Stewart JMCD. 2005. Linkage map construction

Genomics 274, 428-441.

and mapping QTL for cotton fibre quality using SRAP,,SSR and RAPD. Plant Breeding 124, 180-187.

Pillay M, Meyers GO. 1999. Genetic diversity assessed by variation in ribosomal RNA genes and

Liu B, Wendel JF. 2001. Intersimple sequence

AFLP markers. Crop Science 39, 1881-1886.

repeats (ISSR) polymorphisms as a genetic marker system in cotton. Molecular ecology 1, 201-205.

Prioul JL, Quarrie S, Causse M, Vienne D. 1997. Dissecting complex physiological functions

Liu S, Cantrell RG, McCarty JC, Stewart JM.

through the use of molecular quantitative genetics.

2000. Simple sequence repeat-based assessment of

Journal of Experimental Botany 48, 1151-1163.

genetic diversity in cotton race stock accessions. Crop Sciences 40, 1459–1469.

Qureshi SN, Saha S, Kantety RV, Jenkins JN. 2004. EST-SSR:a new class of genetic markers in

Meredith WR. 1992. Contributions of introductions

cotton. Journal of Cotton Science 8, 112-123.

to cotton improvement. In: Shands HL, Weisner LE (eds)

Use

of

plant

introductions

in

cultivar

Rafalski JA. 1997. Randomly amplified polymorphic

development. Part I. Crop Science Society of America,

DNA (RAPD) analysis. In : DNA markers : Protocols,

Madison, WI p 127–146.

Applications and Overviews (eds. G.C.Anolles and P.M. Gresshoff), Wiley-Liss, Inc. USA, p. 364.

Meredith WR. 2000. Cotton yield progress-why has it reached a plateau. Better Crops 84, 6–9.

Reddy OUK, Pepper AE, Ibrokhim A, Saha S, Jenkins JN, Brooks T, Bolek Y, El-Zik KM.

Michaelson

MJ,

Price

HJ,

Ellison

JR,

2001.

New

dinucleotide

and

trinucleotide

Johnston JS. 1991. Comparison of plant DNA

microsatellite marker resources for cotton genome

contents

research. Journal of Cotton Science 5,103–113.

determined

by

Feulgen

microspectrophotometry and laser flow cytometry. American Journal of Botany 78, 183-188.

Ribaut JM, Hoisington D. 1998. Marker-assisted selection: new tools and strategies. Trends in Plant

Miklas

PN,

Delorme

R,

Riley

R.

2003.

Science 3, 236-238.

Identification of QTL conditioning resistance to white mold in a snap bean population. Journal of the

Roder MS, Korzun V, Wendehake K, Plaschke

American Society for Horticultural Science 128, 564–

J, Tixier MH, Leroy P, Ganel MA. 1998. A

570.

microsatellite map of wheat. Genetics 149, 20072023.

Ordon

F,

Wenzel

W,

Friedt

W.

1998.

Recombination: Molecular markers for resistance

Saha S, Karaca M, Jenkins JN, Zipf AE, Reddy

genes in major grain crops. Progress in Botany 59,

UK, Kantey RV. 2003. Simple sequence repeats as

49-79.

useful resources to study transcribed genes of cotton. Euphytica 130, 355-364.

Park YH, Alabady MS, Ulloa M, Sickler B, Wilkins TA, Yu J, Stelly DM, Kohel RJ, El-

Sarang Y, Menz M, Jiang CX, Wright RJ, Yakir

Shiny OM, Cantrell RG. 2005. Genetic mapping of

D, Paterson AH. 2001. Genomic dissection of

new

genotype x environment interactions conferring

cotton

fibre

loci

using

EST-derived

Rafiq et al. Page 79


Int. J. Agri. Agri. R. adaptation of cotton to arid conditions. Genome Research 11, 1988-1995.

Van Esbroeck GA, Bowman DT, Calhoun DS, OL May. 1998. Changes in the genetic diversity of

Semagn K, Bjornstad A, Skinnes H, Maroy AG,

cotton in the U.S. from 1970 to 1995. Crop Science

Tarkegne T, William M. 2006. Distribution of

38, 33-37.

DArT, AFLP, and SSR markers in a genetic linkage map

of

a

doubled

haploid

hexaploid

wheat

population. Genome 49, 545–555.

Vos P, Hogers R, Blecker M, Reijans M, Van de Lee T, Hornes M, Fritjters A, Pot J, Peleman J, Kuiper M, M Zabeau. 1995. AFLP: a new

Shappley ZW, Jenkins JN, Meredith WR,

technique for DNA fingerprinting. Nucleic Acids

McCarty JC. 1998b. An RFLP linkage map of upland

Research 23, 4407- 4414.

cotton

(Gossypium

hirsutum L.).

Theoretical and Applied Genetics 97, 756–761.

Wajahatullah MK, Stewart JM, Zhang J. 1997. Use of RAPD markers to analyse genomic affinity

Shappley ZW, Jenkins JN, Watson CE, Kahler

among Australian Gossypium species. Special Report

AL, Meredith WR. 1996b. Establishment of

-Agricultural

molecular markers and linkage groups in two F2

Agriculture, University of Arkansas 183, 150-152.

Experiment

Station,

Division

of

populations of upland cotton. Theoretical and Applied Genetics 92, 915–919.

Williams JGK, Kubelik AR, Livak KJ, Rafalski JA,

Tingey

SV.

1990.

DNA

polymorphisms

Soller M, Brody T, Genizi A. 1976. On the power

amplified by arbitrary primers are useful as genetic

of experimental designs for the detection of linkage

markers. Nucleic Acids Research 18, 6531–6535.

between marker loci and quantitative loci in crosses between

inbred

lines.

Theoretical and Applied

Genetics 47, 35-39.

Zhang J, Guo W, Zhang T. 2002. Molecular linkage map of allotetraploid cotton (Gossypium hirsutum L. x Gossypium barbadense L.) with a

Tanksley SD, Rick CM. 1980. Isozyme gene

haploid population. Theoretical and Applied Genetics

linkage map of the tomato: Applications in genetics

105(8), 1166-1174.

and breeding. Theoretical and Applied Genetics 57, 161–170.

Zhang ZS, Xiao YH, Luo M, Li XB, Luo XY, Hou L, Li DM, Pei Y. 2005. Construction of a

Tanksley SD. 1993. Mapping polygenes. Annuual

genetic linkage map and QTL analysis of fibre related

Review of Genetics 27, 205-233.

traits in upland cotton. Euphytica 144, 91-99.

Rafiq et al. Page 80


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