Download fulltext HTML
Rista, N., Widiantini, F., Roosdab, A. A., Yulia, E., & Karuniawanb, A. (2017). Simple Sequence Repeats (SSR) Marker Screening Related to Orange Fleshed Sweet Potato F1 Genotype Resistance against Scab (Sphaceloma batatas Saw.). KnE Life Sciences, 2(6), 279-286. https://doi.org/10.18502/kls.v2i6.1050

https://doi.org/10.18502/kls.v2i6.1050

statistics

  • 809 Abstract Views
  • 415 PDF Views
  • 0 HTML Views

authors

  • Nurfitriani Rista
    No author data available.
  • Fitri Widiantini
    No author data available.
  • Anna Aina Roosdab
    No author data available.
  • Endah Yulia
    No author data available.
  • Agung Karuniawanb
    No author data available.

Published Date

  • Nov 26, 2017

Simple Sequence Repeats (SSR) Marker Screening Related to Orange Fleshed Sweet Potato F1 Genotype Resistance against Scab (Sphaceloma batatas Saw.)

KnE Life Sciences / 2nd International Conference on Sustainable Agriculture and Food Security: A Comprehensive Approach (ICSAFS) / Pages 279-286

Abstract

Orange fleshed sweet potato contains high beta carotene as vitamin A precursor. However, its production is limited by the presence of scab disease caused by Sphaceloma batatas Saw. The disease is able to cause yield loss up to 60%. Best controlling method is using resistant varieties. However, the development of resistant varieties are involving long procedures which is time consuming. The long procedure of resistance varieties selection can be shorted cut using molecular markers such as SSR (Simple Sequence Repeats). Specific SSR markers for sweet potato resistance against scab has not been found. This study aimed to screen SSR molecular markers which were related to resistance to scab. The study used 5 resistant genotypes, 5 susceptible genotypes, and 6 SSR primers. PCR analysis showed that those SSR primers were polymorphic. Furthermore, the biplot analysis result demonstrated that several markers allele were related to plant resistance against scab. This finding indicated that these particular SSR markers can be used in sweet potato breeding program as marker assisted selection to develop resistant variety against scab disease.

 

Keywords: Sphaceloma batatas; orange fleshed sweet potato; SSR markers.

References
[1] FAOSTAT. 2014. Rankings of Food and Agricultural Commodities Production.

[2] Badan Pusat Statistik Republik Indonesia. 2014. Produksi Ubi Jalar Indonesia.

[3] Jusuf, M., Rahayuningsih St. A., Ginting E. 2008. Ubi Jalar Ungu. Warta Penelitian dan Pengembangan Pertanian 30 (4): 13-14.

[4] Agrios, G.N., 2005. Plant Pathology. 5th ed. Academic Press, New York.

[5] Ramsey, M.D., Vawdrey L. L., Hardy J. 1988. Scab (Sphaceloma batatas) a New Disease of Sweet Potato in Australia; Fungicide and Cultivar Evaluation. Aust. Journal Exper. Agric. 28 (1): 137-141.

[6] Jackson, G. V. H., McKenzie E. H. C. 1991. Sweet Potato Scab. South Pacific Commission Cataloguing.

[7] Powell, W., Morgante M., Andre C., Hanafey M., Vogel J., Tingey S., Rafalski A. 1996. The Comparison of RFLP, RAPD, AFLP, and SSR (Microsatellite) Markers for Germplasm Analysis. Molecular Breeding 2 (3): 225-238.

[8] Bilotte N., Lagoda P. J. L., Risterucci A. M., Baurens F. C. 1999. Microsatellite-Enriched Libraries: Applied Methodology for the Development of SSR Markers in Tropical Crops. Fruits 54: 277-288.

[9] Ashkani, S., Rafii M. Y., Rusli I., Sariah M., Abdullah S. N. A., Rahim H. A., Latif M. A. 2011. SSRs for Marker-Assisted Selection for Blast Resistance in Rice (Oryza sativa L.). Plant Mol Biol Rep doi: 10.1007/s11105-011-0315-4.

[10] Roosda, A. A. 2014. Evaluasi F1 Polycross Ubi Jalar (Ipomoea batatas (L.) Lam) Jingga dan Seleksi Marka Simple Sequence Repeats (SSR) terkait Karakter Ketahanan terhadap Penyakit Kudis. Tesis Program Magister Agronomi Fakultas Pertanian Universitas Padjadjaran.

[11] Widiantini, F., Roosda A. A., Waluyo B., Yulia E., Karuniawan A. 2014. Evaluation of sweetpotato polycross F1 genotypes resistances against scab disease (Sphaceloma batatas Saw.). The International Conference on Pre-breeding and Gene Discovery. Bogor, 11-13 August 2014.

[12] Doyle, J.J., Doyle J. L. 1987. A rapid DNA Isolation from Small Amount of Fresh Leaf Tissue. Phytochem Bull 19:11-15.

[13] Gabriel, K. R. 1971. The Biplot Graphic Display of Matrices with Application to Principal Component Analysis. Biometrika 58 (3): 453-467.

[14] Mohan, M., Nair S., Bhagwat A. 1997. Genome Mapping, Molecular Markers and Marker-Assisted Selection in Crop Plants. Mol. Breed. 3: 87-103.

[15] Tang, S. X., Kishore V. K., Knapp S. J. 2003. PCR Multiplexes for a Genome-Wide Framework of Simple Sequence Repeat Marker Loci in Cultivated Sunflower. Theor. Appl. Genet. 107: 6-19.

[16] Elrod, S., Stansfield W. 2007. Genetika. (Damaring Tyas W. Pentj). Jakarta: Erlangga.

[17] Sharma, A., Namdeo A. G., Mahadik K. R. 2008. Molecular Markers: New Prospects in Plant Genome Analysis. Pharmacognosy Reviews 2 (3): 23- 31.

[18] Zhou, W-C., Kolb F. L., Bai G-H, Domier L. L., Boze L. K., Smith N. J. 2003. Validation of a Major QTL for Scab Resistance with SSR Markers and Use of Marker-Assisted Selection in Wheat. Plant Breeding 122 (1): 40-46.

[19] Haji-allahverdipoor, K., Bahramnejad B., Amini J. 2011. Selection of Molecular Markers Associated with Resistance to Fusarium Wilt Disease in Chickpea (Cicer arietinum L.) Using Multivariate Statistical Techniques. Australian Journal of Crop Science 5 (13): 1801-1809.

[20] O’Rourke, N., Hatcher L., Stepanski E. J. 2005. Principal Component Analysis. In A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics. Page 429-481. SAS Institute Inc., Cary, NC, USA.