Bioscience Biotechnology Research Communications

An International  Peer Reviewed Refereed Open Access Journal

P-ISSN: 0974-6455 E-ISSN: 2321-4007

Bioscience Biotechnology Research Communications

An Open Access International Journal

Anand D. Wagh1, Santosh J Gahukar2 and Sunil S. Gangurde3*

1Biotechnology Centre, Indian Institute of Technology, Roorkee, Uttarakhand 247667.

2Biotechnology Centre, Dr. Panjabrao Deshmukh Agricultural University, Akola, Maharashtra 444 104.

3Indian Institute of Millet Research, Rajendranagar, Hyderabad, Telangana 500030 India

Article Publishing History

Received: 18/03/2016

Accepted After Revision: 14/06/2016

ABSTRACT:

The marker assisted selection for shootfly tolerance in sorghum (Sorghum bicolor (L.) Moench) was aimed at to introgress the glossiness and trichome density resistant QTLs using specific SSR markers. A total 136 BC3 and 30 BC4 plant progenies were obtained by crossing BC2 X AKSV 13 R and BC3 X AKSV 13 R respectively which were then evaluated for phenotyping and genotyping using specific foreground primers. Phenotypic correlations between the component traits of shoot fly resistance were estimated based on individual progeny from each of BC3 and BC4 populations under study. Yield showed highly significant and positive correlation with trichome density, glossiness and pigmentation in all BC3 and BC4 populations under study. Foreground selection of BC3 progenies using markers associated with QTL co-localized with genomic region for glossiness and trichome density revealed heterozygote alleles in plant no. BC3-7, BC3-16, BC3-49 and BC3-113 compared to their donor parent. Foreground selection of BC4 revealed heterozygote alleles in plant no. BC4-14 and BC4-24. Amplification with foreground markers revealed QTL specific allele recovery from donor parent (IS 18551) in BC3 and BC4 population. Plant no. BC3-50, BC3-75 and BC3-133 among BC3 population and plant no. BC4-6, BC4-7 and BC4-17 of BC4 population showed maximum alleles with expected size.

 

KEYWORDS:

Qtl, Ssr, Foreground Selection, Heterozygote, Trichome, Glossiness.

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Wagh A. D, Gahukar S. J, Gangurde S. S. Marker Assisted Selection for Shoot Fly Tolerance in Sorghum, Sorghum Bicolor. Biosc.Biotech.Res.Comm. 2016;9(2).


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Wagh A. D, Gahukar S. J, Gangurde S. S. Marker Assisted Selection for Shoot Fly Tolerance in Sorghum, Sorghum Bicolor. Biosc.Biotech.Res.Comm. 2016;9(2). Available from: https://bit.ly/2VIQMdX


Introduction

Sorghum bicolor, commonly called sorghum and also known as durra or jowari, is a grass species cultivated for its edible grain. S. bicolor is typically an annual, but some cultivars are perennial. It grows in clumps that may reach over 4 meters high. The grain is small, ranging from 3 to 4 mm in diameter. Sorghum was domesticated in North East Africa near the equator (De wet, 1978). It belongs to family Poaceae, subfamily Panicoidae, tribe Andropogonae and the subtribe Sorghastrae (Price et al., 2005). It is predominantly a self pollinated crop. Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop globally after wheat, maize, rice and barley (FAO, 2006). Sorghum grain is one of the main staples for the world’s poorest and most food-insecure people. Sorghum is now grown in more than 80 countries, mostly in tropical and sub-tropical regions.

Shoot fly (Atherigona soccata) is a major grain yield limiting factor that causes damage when sowings are delayed in rainy season (Ashok Kumar, 2008).The early sown crop escapes from shoot fly damage but the late sown crop in most cases is affected. Shoot fly infestation is high when sorghum sowings are staggered due to erratic rainfall distribution which is common in the semi arid tropics ( Kumar et al., 2008). In India, the losses due to shoot fly damage have been estimated to reach as high as 90% of grain, and 45% of fodder yield (Sukhani and Jotwani,1980; Jotwani, 1982). Shootflies of the genus Atherigona are known to cause ‘deadhearts’ in a number of tropical grass species (Deeming 1971).

Figure 1 Figure 1

To understand the nature of gene action for inheritance of shoot fly resistance, 10 parents was evaluated, 45 F1’s and their reciprocals in replicated trials during the rainy and postrainy seasons. The genotypes ICSV 700, Phule Anuradha, ICSV 25019, PS 35805, IS 2123, IS 2146, and IS 18551 exhibited resistance to shoot fly damage across seasons. Crosses between susceptible parents were preferred for egg laying by the shoot fly females, resulting in a susceptible reaction. ICSV 700, ICSV 25019, PS 35805, IS 2123, IS 2146, and IS 18551 exhibited significant and negative general combining ability ( gca) effects for oviposition, deadheart incidence, and overall resistance score. (Mohammad et al.
2016).

Before the development of molecular markers, morphological markers were found to be useful in varietal identification and assessing genetic diversity, but they had certain limitations. Later markers based on protein variants were used with limited success. Isoelectric variants of proteins, referred to as isozymes or allozymes, were found to be useful and there were many studies made to assess genetic diversity of different crops using such protein markers (Morden et al., 1989). Marker-assisted selection (MAS) is a new paradigm in plant breeding. It involves the selection of genotypes carrying a desirable gene, or gene combination, via linked marker(s). Breeders practice marker-assisted selection when an agronomically important trait that is difficult to assess. Through MAS, the transfer of traits from exotic donor parents to more elite locally adapted crop cultivars is possible. Backcrossing has been a widely used technique in plant breeding for almost a century.

The shootfly dead heart percentage has been estimated to be 43.5% during the Rabi 2012-13 in Maharashtra (Anonymous 2013). Given the economic impact of shoot fly, the improvement of genetic resistance to this pest is one of the major goals in sorghum breeding programs in India. In this context, a better understanding of the inheritance of resistance and identification of genomic regions/QTL that influence resistance can help the breeders to develop more efficient and effective breeding and selection schemes through marker-assisted selection (MAS).

Material And Methods

The experimental sorghum seed material comprised of backcross populations developed from the cross AKSV-13R X IS-18551. Experimental seed material was developed by crossing BC2 with recurrent parent (recipient parent) to obtain BC3 seed in kharif 2013 and BCseed was obtained by crossing BC3 with recurrent parent (recipient parent) in rabi 2013-14. The experiment was carried out at Sorghum Research Unit, Dr. PDKV, Akola. Plant protection measures are avoided for recording morphological observations. Developed population was grown at a spacing of 45 cm X 15 cm with simple lattice design.

Following observations were recorded on each of the parent and the individual plants in each population. Pink pigment on plumule and leaf sheath was assessed at 5 DAE at 1 to 5 rating scale as per Sharma et al. (1997) as (1-Plumule and leaf sheath with dark pigment, 2- Plumule and leaf sheath with fair pink pigment, 3- Plumule and leaf sheath with light pink pigment, 4-Plumule and leaf sheath with very light pink pigment, 5-Plumule and leaf sheath with green colour).

Leaf glossiness was evaluated on a 1 to 5 rating as given below at 10 DAE in the early morning hours. When there was maximum reflection of light from the leaf surfaces as 1- Highly glossy (Light green, shinning, narrow and erect leaves), 2 – Glossy (Light green, less shinning and erect leaves), 3 – Moderate glossy (Fair green, light shinning, medium leaf width and less dropping leaves), 4 – Moderate non glossy (Green, broad, dropping leaves), 5 – Non glossy (Dark green, dull, head and dropping leaves).

The observations of dead heart count were taken on 14th and 21st DAE for each entry. Dead Heart percentage was calculated as the number of dead hearts with respect to total number of plants in the entry multiplied by 100.The observations were taken on 14th and 21st DAE for each entry. Seedling with eggs laid by shoot fly larvae was expressed in terms of percentage of the plants. The seedlings with eggs percentage was calculated by number of seedlings with eggs with respect to total number of plants in the entry multiplied by 100.

Observations Trichome density (mm2) were taken on 14th DAE, on fifth leaf from apical point as per the procedure outlined by Sharma et. al. (1997). leaf samples were kept in 20 ml of acetic acid: alcohol (2:1) solution for overnight then transferred in 90 percent lactic acid in small vials and stored for further observations. The leaf samples were mounted on a slide in a drop of water and observed under a binocular microscope at magnification of 10x. The number of trichomes per mmwas counted on abaxial (lower side) leaf surface.

For Genotypic observations, genomic DNA was isolated from each of the genotype using a modified cetyl tri methyl ammonium bromide (CTAB) method (Sharma et al., 2002). For DNA extraction two gram leaf samples of three to four weeks old seedlings of each BCand BCpopulation were used. DNA quantified on 0.8% agarose gel followed by Ribonuclease A treatment.

Pcr Amplification

SSR primer pairs were used for the present investigation. The list of forward and reverse primers used for amplification of the genomic DNA with their sequences, is given in table 1. The synthesis of following primers was done from Genaxy Scientific Pvt. Ltd., India.

Table 1: The list of SSR (primer) markers used for amplification of the genomic DNA.
SN Primer Code Forward and Reverse Annealing Temp. (°C) Product Size (bp) Linkage group
1. Xtxp 37 F-AACCTAAGAGGCCTATTTAACC 57 165 A
    R-ACGGCGACTCTGTAACTCATAG    
2. Xtxp 75 F-CGATGCCTCGAAAAAAAAACG 57 149 A
    F-CCGATCAGAGCGTGGCAGG    
3. Xtxp 141 F-TGTATGGCCTAGCTTATCT 55 200-205 G
    R-CAACAAGCCAACCCAAA    
4. Xgap 1 F-TCCTGTTTGACAAGCGCTTATA 56 180-254 G
    R-AAACATCATACGAGCTCATCAATG    
5. Xtxp 15 F-CACAAACACTAGTGCCTTATC 55 215 J
R-CATAGACACCTAGGCCATC
6 Xtxp 65 F-CACGTCGTCACCAACCAA 55 310 J
R-GTTAAACGAAAGGGAAATGGC
7 Xtxp 94 F-TTTCACAGTCTGCTCTCTG 50 232 J
R-AGGAGAGTTGTTCGTTA
8 Xisp10263 F-TATCTTCTCCGCCCTTTC 52 330-360 G
R-TAAGNGCCAAGGGAATG
9 Xtxp10258 F-GCAGGACCGGATAGAGAT 53 190-270 J
    R-ATCCCGGAATGATGAAGT    
10 Xtxp 1 F-TTGGCTTTTGTGTGGAGCTG 49 192 B
    R-ACCCAGCAGCACTACACTAC    
11 Xtxp 4 F-AATACTAGGTGTCAGGGCTGTG 61 150 B
    R-ATGTAACCGCAACAACCAAG    
12 Xtxp 67 F-CCTGACGCTCGTGGCTACC 59 178 F
    R-TCCACACAAGATTCAGGCTCC    
13 Xgap 88 F-CGTGAATCAGCGAGTGTTGG 57 118 A
R-TGCGTAATGTTCCTGCTC
14 Xtxp 298 F-GCATGTGTCAGATGATCTGGTGA 63 187 B
R-GCTGTTAGCTTCTTCTTCTAATCGTCGGT
15 Xtxp 319 F-TAGACATCTGAATTAAGGAGC 53 170 A
    R-CATGCCCCTGAAAGAGA    
16 Xtxp 331 F-AACGGTTATTAGAGAGGGAGA 55 220 G
    R-AGTATAATAACATTTTGACACCCA    
17 Xtxp159 F-ACCCAAAGCCCAAATCAG 49 180 E
R-GGGGGAGAAACGGTGAG

The PCR was carried out in small reaction tubes, containing a reaction volume typically of 16 µl that was inserted into a thermal cycler (Applied Biosystems Gene Amp PCR System 2700) that heated and cooled the reaction tubes within it to the precise temperature required for each step of the reaction. The working concentration of master mix for 16 μl (final volume) was prepared as 0.9mM 10 X Taq polymerase assay buffer with MgCl2, 2.4mM dNTPs and 0.5 U Taq polymerase. 2 µl of DNA sample was used with 1.5 µl of each primer. The amplified products were resolved on 10% PAGE on a Genei’s Vertical Gel Electrophoresis System (glass plate size 24 cm x 19 cm).To resolve the SSR products the silver staining was carried out following Tagelstrom (1992).

Table 2: Mean phenotypic performance for shoot fly resistance component traits in the parents.
Character IS18551 (resistant) AKSV–13R (susceptible)
Leaf glossiness (1-5 scale) 1 4
Pigmentation (1-5 scale) 1.5 4
Seedling with egg per cent 14th and 21th DAE 10,12 45,50
Deadhearts per cent at 14th and 21th DAE 9, 11 47, 52
Trichome density (per mm2) 28 3

 

Table 3: Phenotypic correlation coefficient among the four morphological traits in BC3 derived from cross AKSV-13R X IS18551
Trait Pigmentation Leaf glossiness Trichome density Yield
Pigmentation 1 0.84** 0.57* 0.66**
Leaf glossiness 1 0.68** 0.74**
Trichome density 1 0.93**
Yield 1
**Significant at P= 0.01= highly significant *Significant at P = 0.05 = significant, N. S. = Non Significant


Data Analysis

The banding patterns obtained from PCR amplification of the various SSR primer in each of the BCand BC4 population was visualized with silver staining were scored as ‘A’ [Homozygote for the allele for parental strain P1 (IS18551)], ‘B’ [Homozygote for the allele for recurrent parental strain P2 (AKSV 13 R)], ‘H’ (Heterozygote carrying the alleles from both P1 and P2 parental strains), ‘-’ (Missing data for the individual).

Table 4: Phenotypic correlation coefficient among the four morphological traits in BC4 derived from cross AKSV-13R X IS18551
 Trait Pigmentation Leaf Glossiness Trichome Density Yield
Pigmentation 1 0.86** 0.76** 0.76**
Leaf Glossiness 1 0.77** 0.72**
Trichome Density 1 0.97**
Yield 1
** Significant at P= 0.01= highly significant *Significant at P = 0.05 = significant, N. S. = Non Significant


Phenotypic correlation

Phenotypic correlation coefficients were estimated using the formula of Singh and Choudhary (1996).

Covp (X, Y)

rp = ———————————-

Varp (X) Varp (Y)

Where,

rp = Phenotypic correlation coefficient

Covp (X,Y) = Phenotypic covariance between x and y

Varp (X) = Phenotypic variance in X

Varp(Y) = Phenotypic variance in Y

The observed values of correlation coefficients were compared with the tabulated values for (n-2) degrees of freedom to test their significance.

Results And Discussion

The BC3 population was derived from crossing BC2 with recipient parent and BC4 population derived from BC3 population crossed with recipient parent. To identify the reaction linked to the shoot fly tolerance components traits SSR markers were used and morphological observations were recorded. The experiment was conducted in late kharif and late rabi 2013 at Sorghum Research Unit, Dr. Panjabrao Deshmukh Krish Vidyapeeth Akola. The results obtained from morphological and molecular analysis using specific SSR primers for shoot fly resistance are discussed in detail in this chapter.

Phenotypic performance of parents AKSV- 13R and IS 18551 revealed that both the parents differ for the shootfly resistance contributing traits like leaf glossiness (1-5 scale), pigmentation (1-5 scale), percent seedling with eggs at 14th and 21st days after emergence, dead heart percentage at 14th and 21st days after emergence and trichome density measured on abaxial surface per mm2 of leaf. The mean performance of parents for these traits are summarized below:

Table 5: The score sheet indicating the genotypic status for trichome density and glossiness QTLs among BC3 progenies derived from AKSV 13R X IS 18551 (Foreground Selection)
Plant no. Xtxp-15 Xtxp-75 Xtxp–94 Xtxp–37 Xisp-10258 Xtxp-141
BC3-3 A A H H A A
BC3-7 H H H H H H
BC3-16 H H H H H H
BC3-17 A H A A A A
BC3-19 H A A H A A
BC3-21 A H A A A A
BC3-25 A H A H A A
BC3-27 A A H A A A
BC3-28 H A A A A A
BC3-29 A H A A A A
BC3-35 A H H H H A
BC3-39 A H A H A A
BC3-42 A H A A A A
BC3-48 A H A A A A
BC3-49 H H H H H A
BC3-55 A H A A A H
BC3-61 A H A A H A
BC3-66 A H A H A A
BC3-69 A A H A A H
BC3-71 H A A A A A
BC3-74 H A A A A A
BC3-75 A A H A H A
BC3-76 A H A A A A
BC3-78 H A A H A A
BC3-82 A H A A H A
BC3-84 A A H A A H
BC3-87 A H A A H A
BC3-89 H A A A A H
BC3-96 A H A H H A
BC3-98 A H A A A H
BC3-110 A H A H H A
BC3-113 H H H H H H
BC3-117 A H A H A H
BC3-118 A A H A A H
BC3-126 A A H H A A
BC3-132 A H A A H A
BC3-135 A H A H H A
Where, ‘A’- Homozygote at marker locus as that of donor parent (IS 18551)

‘B’- Homozygote at marker locus as that of recurrent parent (AKSV 13R)

‘H’ – Heterozygote at marker locus as that of donor parent

The resistant donor parent IS18551 recorded rating of one on scale five leaf glossiness as compared to rating four leaf glossiness in parent AKSV-13R on 1-5 scale. Similarly differences for mean performances for pigmentation was recorded in two parents as IS18551 (1.5) and AKSV-13R (4) on 1-5 scale. The mean percent seedlings with eggs recorded after 14th and 21st days after emergence were 10 and 12 percent respectively in IS 18551. Which were numerically lower than AKSV- 13R as 45 and 50 percent after 14th and 21st days after emergence respectively. Similarly dead heart percentage at 14th and 21st days after emergence varied in two parents, AKSV- 13R (47% and 52% on 14th and 21st DAE) and IS18551 (9% and 11% on 14th and 21st DAE). Trichome density was higher in IS 18551 (28 per mm2) as compared to AKSV -13R (3 per mm2).

Table 6: Summary statistics of foreground selection for AKSV 13R X IS 18551 derived BC3 progenies
Sr. No. Particulars AKSV-13R X IS18551
1 Number of plants screened 136
2 Number of polymorphic marker used 6
3 Scorable marker data points generated 816
4 Number of progeny satisfying the foreground selection for all the targeted QTL regions 4
5 Marker status of selected plants at target QTL regions Heterozygous

Total 136 plants of BC3 and 30 plants of BCpopulation were studied. BC3 population was studied for phenotypic traits related to shoot fly resistance such as glossiness, pigmentation, trichome density, egg laying percent, dead heart percent and yield per plant. Mean phenotypic performance for shoot fly resistance component traits in the BC3 of cross AKSV-13R X IS18551.

Table 7: The score sheet indicating the genotypic status for trichome density and glossinessQTLs among BC4 progenies derived from AKSV 13R X IS 18551 (Foreground Selection)
Plant no. Xtxp-37 Xisp-10263 Xtxp-141 Xtxp-75 Xtxp-15 Xisp- 10258 Xtxp-94 Xgap-1 Xtxp-65
BC4-2 A A A A A A A H A
BC4-3 A H H A A A A A A
BC4-4 A A A A A A H A A
BC4-6 A A A A A A A H A
BC4-7 A A A A A A A A H
BC4-8 A H A A A A A A A
BC4-11 A A A H A A A A A
BC4-12 A A A A A H A H A
BC4-13 A A A H H A A A H
BC4-14 H H H H H H H A A
BC4-15 A A A A A A A A H
BC4-17 A A A H A A A A A
BC4-18 H A A A A A A A A
BC4-24 H H H H H H A A A
BC4-25 A A A A A A A A H
BC4-26 A A H A A A A A A
Where, ‘A’- Homozygote at marker locus as that of donor parent (IS 18551)

‘B’- Homozygote at marker locus as that of recurrent parent (AKSV 13R)

‘H’ – Heterozygote at marker locus as that of donor parent

In BC3 population of AKSV -13 R x IS18551 cross, pigmentation ranged from 1.5 to 4.5. Highest pigmentation was recorded in plant no. BC3-7 which was 1.5 and lowest pigmentation observed in plant no BC3-111 which was 4.5. Whereas pigmentation in remaining plants ranged from 2.5 to 4. In BC3 population of AKSV-13 R x IS18551 cross, glossiness was ranged from 1 to 4. Out of the 136 plants, plant no. BC3– 111, BC3-127, BC3-128, BC3-129, BC3-131, BC3-132, BC3-133, BC3-136 showed lowest glossiness rating 4 and plant no. BC3-7 and BC3-113 showed highest glossiness rating 1. Whereas glossiness in remaining plants ranged from 1 to 4.

Table 8: Summary statistics of foreground selection for AKSV 13R X IS 18551 derived BC4 progenies
Sr. No. Particulars AKSV-13R X IS18551
1 Number of plants screened 30
2 Number of polymorphic marker used 9
3 Scorable marker data points generated 270
4 Number of progeny satisfying the foreground selection for all the targeted QTL regions 2
5 Marker status of selected plants at target QTL regions Heterozygous

In BC3 population of AKSV -13 R x IS18551 cross, trichome density ranged from 1 to 56.33 trichomes/mm2. Highest trichome density of 56.33 trichomes/mm2 was found in plant no. BC3-7 and lowest trichome density of 1 trichome/mm2 was found in plant no. BC3-111. Seedlings with eggs on abaxial surface were recorded on 14th and 21st day after emergence (DAE). The presence of eggs on 14th and 21st DAE was found in plants BC3– 38, BC3-84, BC3-111, BC3-127, BC3-132, BC3– 136. Whereas the presence of eggs on 21st DAE was found in BC3-4, BC3-5, BC3-18, BC3-19, BC3-31, BC3-32, BC3-128.

Total dead heart damage observed at 14th DAE and 21st DAE. The presence of dead heart damage on 14th and 21st DAE was found in plants BC3– 38, BC3-84, BC3-111, BC3-127, BC3-132, BC3– 136. Whereas the presence of dead heart damage on 21st DAE was found in BC3-4, BC3-5, BC3-18, BC3-19, BC3-31, BC3-32, BC3-128. Yield per plant in BC3 population ranged from 22 gm to 86 gm. Plant no. BC3-7 and BC3-113 showed highest yield 86 gm whereas plant no. BC3-136 showed lowest yield 22 gm. Total 69 plants showed more yield than mean yield that is 53.47.

Mean phenotypic performances for shoot fly resistance component traits in the BC4 of cross AKSV-13R X IS18551. In BC4 population of AKSV -13 R x IS18551 cross, pigmentation ranged from 1.5 to 4. Highest pigmentation was recorded in plant no. BC4-14 and BC4-20 which was 1.5 however lowest pigmentation observed in plant no. BC4-18 which was 3.5. In BCpopulation of AKSV -13 R x IS18551 cross, glossiness was ranged from 1 to 3.5. Out of the thirty plants, plant no. BC4-18 showed lowest glossiness of 3.5 and plant no. BC4-14 and BC4-20 showed highest glossiness of 1 where as glossiness in remaining plants ranged from 1 or 3.

In BC4 population of AKSV -13 R x IS18551 cross, trichome density ranged from 4 to 59.33 trichome/mm2. Highest trichome density was found in plant no. BC4-14 as 59.33 trichomes/mm2 and lowest trichome density was found in plant no. BC4-18 as 4 trichomes/mm2. Seedlings with eggs on abaxial surface were recorded on 14th and 21st day after emergence (DAE). The presence of eggs on 14th and 21st DAE was found in plant BC4-18. Whereas presence of eggs on 21st DAE was found in plants BC4-22 and BC4-27. Total dead heart damage observed at 14th DAE and 21st DAE. The presence of dead heart damage on 14th and 21st DAE was found in plant BC4-18. Whereas presence of dead heart damage on 21st DAE was found in plants BC4-22 and BC4-27.

Yield per plant in BC4 population ranged from 12 gm to 83 gm. Plant no. BC4-14 showed highest yield 83 gm and plant no BC4-18 showed lowest yield 12 gm. Total 13 plants BC4-1, BC4-2, BC4-4, BC4-11, BC4-12, BC4-14, BC4-15, BC4-16, BC4-17, BC4– 20, BC4-21, BC4-24, BC4-28 showed more yield than mean yield that is 48.83.

Simple linear correlation coefficient between shoot fly resistance components were estimated based on each plant of BC3 and BC4. This helps to understand the varying degree of association and contribution of each character in building up total genetic architecture of resistance considering the varying degree of phenotypic values.

Marker-assisted selection appeared as a promising tool for breeding quantitative resistance. Two problems are inherent in backcross breeding, one being the large number of generations required to recover the genome of the inbred parent and the other being linkage drag, i.e. the presence of the inbred portions of the donor’s genome (which can be linked to non-favourable alleles) surrounding the introgressed allele. As previously described by Tanksley et al. (1996), the main advantage of using DNA markers as opposed to conventional selection is to accelerate the fixation of recipient alleles in non target regions and to identify the genotypes containing crossovers close to target genes.

In present investigation a set of markers are used to screen the parents of the backcross populations AKSV-13R and IS18551 (resistance) to identify polymorphic one for further genotyping the BC3 and BC4 population. Screening was done on 10% PAGE gel where silver staining recipe was adopted. Marker showed polymorphism between parent were selected for screening of the BC3 and BC4 population. Total 17 markers were used for parental screening out of these 8 showed polymorphism. Recurrent parent, AKSV 13R, susceptible for shoot fly while being agronomically superior were backcrossed with donor parent IS 18551. All the backcross progenies obtained for AKSV 13R were screened with foreground markers to identify the progenies with target
QTLs.

The target QTL from donor parents is insured in recurrent parent background by selecting for heterozygous for the flanking markers. A total 136 plants of the BC3 population screened with six polymorphic foreground markers (Xtxp-37, Xtxp-75, Xtxp-141, Xtxp-94, Xtxp-15, Xisp-10258). The band in the gels was scored as A, B, H and “_” based on the pattern compared with those of the parents. Only the plants with marker status ‘H’ for the all target marker were scored and selected. Out of the 136 plants, only plant no. BC3-7, BC3-16, BC3-113, were found to be heterozygous (H) for six primers for target QTL region and plant no. BC3-49 showed heterozygous banding pattern in five primers highlighted in table 5.

Foreground selection for QTL introgression in AKSV 13R X IS 18551 BC4 populations:

A total 30 plants of the BC4 populations screened with nine polymorphic foreground markers (Xtxp-37, Xtxp-75, Xtxp-141, Xtxp-94, Xtxp-15, Xisp-10258, Xisp 10263, Xgap 1, Xtxp 65). Only the plants with marker status ‘H’ for the all target marker were scored and selected. Out of the 30 plants, plant no. BC4-14 showed heterozygous banding pattern in seven primers while plant no. BC4-24 showed heterozygous banding pattern in six primers highlighted in table 6.

QTL specific allele recovery from donor parent in BCand BCpopulation of various crosses

All the BC3 and BC4 progenies were tested for the presence of trichome density and glossiness specific donor allele from donor parent using polymorphic foreground markers. The data is scored for presence and absence for specific allele.

QTL specific allele recovery from donor parent IS18551 in BCpopulation of AKSV-13R x IS 18551:

Allele specific for trichome density and glossiness were recovered using six polymorphic foreground markers Xtxp-37, Xtxp-75, Xtxp-141, Xtxp 15, Xtxp 94, Xisp 10258. Plant no. BC3-50, BC3-75 and BC3-133 showed presence of specific allele using all the primers with expected size.

QTL specific allele recovery from donor parent IS18551 in BCpopulation of AKSV-13R x IS 18551:

Allele specific for trichome density and glossiness were recovered using nine polymorphic foreground markers Xtxp-37, Xtxp-75, Xtxp-141, Xtxp-94, Xtxp-15, Xisp-10258, Xisp 10263, Xgap 1, Xtxp 65. Plant no. BC4-6, BC4-7 and BC4-17 showed maximum alleles using all the primers with expected size.

Conclusion

The results obtained from morphological observations revealed that the two parents differed considerably for all the observed shoot fly resistance component traits and the wide variation was observed among the BC3 and BCpopulation for shoot fly resistance component traits.Phenotypic correlations between the component traits of shoot fly resistance were estimated based on individual progeny from BC3 and BCmeans. The results so obtained can be briefly summarized as yield showed highly significant and positive correlation with trichome density, leaf glossiness and pigmentation in BCand BC4 population of AKSV-13R X IS 18551. For molecular marker studies, genomic DNA was isolated from the parent and all BC3 and BCpopulation using CTAB method. DNA quality was confirmed by running them on 0.8 per cent agarose gel stained with ethidium bromide. DNA samples were treated with RNase A (10 mg/ml) @100 µl / ml of sample. Quantification of DNA was done and accordingly, the samples were diluted to a final concentration of 15 ng/µl. 30 ng of DNA was used for each PCR reaction.

Foreground selection using specific markers for glossiness and trichome density QTLs of BC3 and BCplants were carried out. Out of 136 BCpopulations, Plant no. BC3-7, BC3-16, BC3-113 were found to be heterozygous for six primers and plant no. BC3-49 showed heterozygous banding pattern in five primers. Whereas in BC4 population plant no. BC4-14 showed heterozygous banding pattern in seven primers and plant no. BC4-24 showed heterozygous banding pattern in six primers. QTL specific allele recovery from donor parent IS 18551 in BC3 and BCpopulation was carried out. Out of 136 BC3 population plant no. BC3-50, BC3-75 and BC3-133 showed presence of specific alleles using six polymorphic foreground markers. Whereas plant no. BC4-6, BC4-7 and BC4-17 showed maximum alleles using all the primers with expected size in BC4 population.

References

Agarwal M, Shrivastava and Padh H (2008). Advances in molecular marker techniques and their applications in plant sciences. Plant Cell Rep. 27:617–631.

Aruna C, and PG Padmaja (2009). Evaluation of genetic potential of shoot fly resistant sources in sorghum Sorghum bicolor (L.) Moench. Journal of Agricultural Science. 147 : 71-80.

Ashok Kumar, ABVS Reddy, HC Sharma and B Ramaiah (2008) An Open Access J. Published by ICRISAT.

Balikai RA and BD Biradar (2007). Field evaluation of sorghum parental lines for resistance to shoot fly and aphid. Agric. Sci. Digest. 27(4) : 291-292.

Chamarth SK, M Peter, Vijay HC, Sharma and LM Narasu (2012). Constitutive and Inducible Resistance to Atherigona soccata (Diptera: Muscidae) in Sorghum bicolor. Journal of Economic Entomology 105(3):1069-1076.

Choudhary MK, BR Ranwah, V Saharan (2013). Evaluation of Shoot Fly Resistance through SSR Markers in Sorghum [Sorghum Bicolor (L.) Moench]. Global Journal of Science Frontier Research Biological Sciences. Volume 13 Issue 1 Version 1.0.

De Wet JM (1978). Systematics and evolution of sorghum sect. sorghum (Poaceae). American J. Bot. 65 : 477-484.

Deeming JC (1971). Some species of Atherigona rondani (Diptera : Muscidae) from northern Nigeria, with special reference to those injurious to cereal crops. Bulletin of Entomological Research 61 : 133-190.

Deshmukh TS, AP Karunakar and MR Deshmukh (2007). Reaction of some sorghum elite lines and some nursery lines against shoot fly and stem borer. PKV Res. J. 31(2) : 309-312.

Deshpande SP (2005). QTL analysis for shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench] Ph.D. Dissertation (Unpub.), MAU, Parbhani (M.S), India.

Ejeta G, Knoll JE (2007). Marker-Assisted Selection in Sorghum. Genomics-Assisted Crop Improvement. pp 187-205.

FAO, (2006). FAO Statistics Data base (FAOSTAT) for 2005, http://faostat.fao.org.

Gamer YA and AH Mohamed. (2013). Introgression of Striga Resistance Genes into a Sudanese Sorghum Cultivar, Tabat, Using Marker Assisted Selection (MAS). Greener Journal Of Agricultural Science. Vol. 3(7), pp. 550-556

Gomashe S, MB Misal, KN Ganapathy and Sujay Rakshit (2010). Correlation studies for shootfly resistance traits in sorghum (Sorghum bicolor (L.) Moench). E. J. of Plant Breeding. 1(4):899-902.

Gupta PK and PL Kulwal (2006). Methods of QTL analysis in crop plants: present status and future prospects. In: Bio­technology and Biology of Plants (Trivedi PC, Ed). Avishkar Publishers, Jaipur, India. pp. 1-23.

Jotwani MG, GC Sharma, BG Srivastava and KK Marwaha (1971). Ovipositional response of shoot fly Atherigona soccata Rondani on some promising resistant lines of sorghum. In : Investigations on insect pests of sorghum and millets. (Ed. Pradhan, S.), Final technical report, 1965-1970, Indian Agricultural Research Institute, New Delhi, pp 119-122.

Jotwani MG, WR Young and GL Teetes (1980). Elements of integrated control of sorghum pests. FAO plant production and protection paper, FAO, Rome, Italy. pp 159 .

Morden CW, Doebley JF & Shertz KF (1989). Allozyme variation in Old World races of Sorghum bicolor (Poaceae). Am. J. Bot., 76, 247ñ255.

Peng Y, KF Schertz S Cartinhour, GE Hart (2008). Comparative genome mapping of Sorghum bicolor (L.) Moench using an RFLP map constructed in a population of recombinant inbred lines. Pl. Breeding. 118 : 225 -235.

Price JH, SD Dillon, G Hodnett, WL Rooney, L Ross and JS Johnston (2005). Genome evolution in the Genus sorghum (Poaceae). Annals of Botany. 95(1) : 219-227.

Satish K, G Srinivas, R Madhusudhana, PG Padmaja, RN Reddy, SM Mohan and N Seetharama (2009). Identification of quantitative trait loci for resistance to shoot fly in sorghum [Sorghum bicolor (L.) Moench]. Theor. Appl. Genet.

Sharma AD, PK Gill and P Singh (2002). DNA isolation from Dry and fresh samples of polysaccharide rich plants. Plant Mol. Biol. Reporter. 20 : 415a- 415f.

Sharma HC (1997). Plant resistance to insects: Basic principles. pp 24-31. In H. C. Sharma, F. Singh and K. F. Nwanze, eds, Plant resistance to insects in sorghum. ICRISAT, Patancheru (A.P.), India.

Shezad T, H Iwata, K Okuno (2009). Genome-wide association mapping of quantitative traits in sorghum (Sorghum bicolor (L.) Moench) by using multiple models. Breeding Science. 59 : 217 -227.

Singh, R. K. and B. D. Chaudhary. 1996. Biometrical methods in quantitative genetics analysis. Kalyani Publishers, New Delhi.

Sukhani TR and Jotwani MG (1980). Ovipositional preference and damage of sorghum shootfly on different stages of tillers of ratoon crop. Indian Journal of Entomology, 42 (3). pp. 488-493.

Tagelstrom H (1992). Detection of mitochondrial DNA fragments in molecular genetic analysis of populations : A practical Approach (Ed. Hoelzel, AR) IRL Press, Oxford.
pp 89-114.

Tanksley SD ( 1993). Mapping polygenics. Ann. Rev. Genet. 27 : 205-233.

Tanksley SD, ND Young, AH Paterson and MW Bonierbale (1989). RFLP mapping in plant breeding : New tool for an old science. Biotechnology. 7 : 257-264.

Venkateshwarlu D, (2009) Marker trait association for shoot fly tolerance in sorghum using SSR markers. M.Sc. Dissertation (Unpub.) Dr. PDKV, Akola (M.S.), India.

Wang S, CJ Basten and ZB Zeng (2007) Windows QTL cartographer 2.5. http://statgen.ncsu.edu/qtlcart/WQTLCart.htm

Wu Yanqi and H Yinghua (2007). An SSR genetic map of Sorghum bicolor (L.) Moench and its comparison to a published genetic map. Genome 50 : 84-89.

Mohammed R, Are AK, Munghate RS, Bhavanasi R, Polavarapu KKB and Sharma HC (2016) Inheritance of Resistance to Sorghum Shoot Fly, Atherigona soccata in Sorghum, Sorghum bicolor (L.) Moench. Front. Plant Sci. 7:543. doi: 10.3389/fpls.2016.00543