» Articles » PMID: 28919901

Introgression of Shoot Fly ( L. Moench) Resistance QTLs into Elite Post-rainy Season Sorghum Varieties Using Marker Assisted Backcrossing (MABC)

Overview
Journal Front Plant Sci
Date 2017 Sep 19
PMID 28919901
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Shoot fly ( L. Moench) is a serious pest in sorghum production. Management of shoot fly using insecticides is expensive and environmentally un-safe. Developing host-plant resistance is the best method to manage shoot fly infestation. Number of component traits contribute for imparting shoot fly resistance in sorghum and molecular markers have been reported which were closely linked to QTLs controlling these component traits. In this study, three QTLs associated with shoot fly resistance were introgressed into elite cultivars Parbhani Moti (= SPV1411) and ICSB29004 using marker assisted backcrossing (MABC). Crosses were made between recurrent parents and the QTL donors ., J2658, J2614, and J2714. The Fs after confirmation for QTL presence were backcrossed to recurrent parents and the resultant lines after two backcrosses were selfed thrice for advancement. The foreground selection was carried out in F and BCF generations with 22 polymorphic markers. Forty-three evenly distributed simple sequence repeat markers in the sorghum genome were used in background selection to identify plants with higher recurrent parent genome recovery. By using two backcrosses and four rounds of selfing, six BCF progenies were selected for ICSB29004 × J2658, five BCF progenies were selected for ICSB29004 × J2714 and six BCF progenies were selected for Parbhani Moti × J2614 crosses. Phenotyping of these lines led to the identification of two resistant lines for each QTL region present on chromosome SBI-01, SBI-07 and SBI-10 in ICSB 29004 and Parbhani Moti. All the introgression lines (ILs) showed better shoot fly resistance than the recurrent parents and their agronomic performance was the same or better than the recurrent parents. Further, the ILs had medium plant height, desirable maturity with high yield potential which makes them better candidates for commercialization. In the present study, MABC has successfully improved the shoot fly resistance in sorghum without a yield penalty. This is the first report on the use of MABC for improving shoot fly resistance in post-rainy season sorghum.

Citing Articles

Triumphs of genomic-assisted breeding in crop improvement.

Mangal V, Verma L, Singh S, Saxena K, Roy A, Karn A Heliyon. 2024; 10(15):e35513.

PMID: 39170454 PMC: 11336775. DOI: 10.1016/j.heliyon.2024.e35513.


Omics-driven exploration and mining of key functional genes for the improvement of food and fiber crops.

Naqvi R, Mahmood M, Mansoor S, Amin I, Asif M Front Plant Sci. 2024; 14:1273859.

PMID: 38259913 PMC: 10800452. DOI: 10.3389/fpls.2023.1273859.


Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops.

Wani S, Choudhary M, Barmukh R, Bagaria P, Samantara K, Razzaq A Theor Appl Genet. 2022; 135(11):3875-3895.

PMID: 35267056 PMC: 9729161. DOI: 10.1007/s00122-022-04060-9.


Drought Tolerance and Application of Marker-Assisted Selection in Sorghum.

Mwamahonje A, Eleblu J, Ofori K, Deshpande S, Feyissa T, Tongoona P Biology (Basel). 2021; 10(12).

PMID: 34943164 PMC: 8699005. DOI: 10.3390/biology10121249.


Insect Succession and Decomposition Pattern on Pig Carrion During Warm and Cold Seasons in Kwazulu-Natal Province of South Africa.

Tembe D, Mukaratirwa S J Med Entomol. 2021; 58(6):2047-2057.

PMID: 34114001 PMC: 8577695. DOI: 10.1093/jme/tjab099.


References
1.
Aruna C, Bhagwat V, Madhusudhana R, Sharma V, Hussain T, Ghorade R . Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench]. Theor Appl Genet. 2011; 122(8):1617-30. DOI: 10.1007/s00122-011-1559-y. View

2.
Agrama A, Widle E, Reese C, Campbell R, Tuinstra R . Genetic mapping of QTLs associated with greenbug resistance and tolerance in Sorghum bicolor. Theor Appl Genet. 2003; 104(8):1373-1378. DOI: 10.1007/s00122-002-0923-3. View

3.
Singh N, Roy Choudhury D, Singh A, Kumar S, Srinivasan K, Tyagi R . Comparison of SSR and SNP markers in estimation of genetic diversity and population structure of Indian rice varieties. PLoS One. 2013; 8(12):e84136. PMC: 3868579. DOI: 10.1371/journal.pone.0084136. View

4.
Marais G, Mouchiroud D, Duret L . Does recombination improve selection on codon usage? Lessons from nematode and fly complete genomes. Proc Natl Acad Sci U S A. 2001; 98(10):5688-92. PMC: 33274. DOI: 10.1073/pnas.091427698. View

5.
Apotikar D, Venkateswarlu D, Ghorade R, Wadaskar R, Patil J, Kulwal P . Mapping of shoot fly tolerance loci in sorghum using SSR markers. J Genet. 2011; 90(1):59-66. DOI: 10.1007/s12041-011-0046-1. View