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THE DETECTION OF SSRs FROM OLIVE (Olea europaea L.) EST COLLECTION BY COMPARING 4 DIFFERENT BIOINFORMATICS SOFTWARES

Yıl 2017, Cilt: 35 Sayı: 4, 763 - 770, 01.12.2017

Öz

Bioinformatics is an interdisciplinary science that is formed by the combination of computer science and biology. Over the years, accumulating data were stored carefully, organized, incorporated, provided classification and accessed easily by bioinformatics. Experimental studies take a long time and are expensive but by means of bioinformatics these studies take a short time and are cheaper.
There are two approaches to determine SSRs (Simple Sequence Repeat/Microsatellite) in plants which are analysis of DNA libraries and analysis of EST (Expressed Sequence Tag) collections. Like many studies these two approaches also benefit from bioinformatics. Thus SSRs, which were determined, can be used as markers in genetic diversity studies.
In this study, to determine SSRs in olive EST collection that has 3734 EST; SSRIT, SSR Finder, WebSat and IMEx Softwares, which have web-based versions and are easily accessible and utilized, were used. SSR motifs and positions of the EST collection have been determined by means of these four softwares. Each of the four softwares found 2, 3, 4 and 6-nucleotide SSRs. “GA” pattern repeated 6 times, is the most abundant SSR with 324 occurrences. The advantages and disadvantages of the softwares used were determined by comparing the results.

Kaynakça

  • [1] Luscombe NM, Greenbaum D, Gerstein M. What is bioinformatics? An introduction and overview. Yearbook of Medical Informatics 2001; s:83-85.
  • [2] Polat M., Karahan A.G. (2009) “Multidisipliner Yeni Bir Bilim Dalı: Biyoinformatik ve Tıpta Uygulamaları” S.D.Ü. TIp Fak. Derg. 16(3)/ 41-50
  • [3] Collins F.S., Morgan M. and Patrinos A. The Human Genome Project: Lessons from Large- Scale Biology Science 2003; 300, 286-290.
  • [4] Altschul, S.F., Boguski, M.S., Gish, W. & Wootton, J.C. (1994) “Issues in Searching Molecular Sequence Databases” Nature Genet. 6:119-129
  • [5] Yurtsever M. (2011) “Zeytin (Olea Europaea L.) Bitkisinden Karbonik Anhidraz Enzimini Kodlayan Genin Klonlanması” s. 20.
  • [6] Rugini E., Biasi R. ve Muleo R., (2000). “Olive (Olea europaea var. sativa) Transformation; Mohan J.S., Minocha S.C., Molecular Biology of Woody Plants, 2, Kluwer Academic Publishers, Dordrecht.
  • [7] http://arastirma.tarim.gov.tr/izmirzae.
  • [8] Ozdemir Ozgentürk N., Oruc F., Sezerman U., Kuçukkural A., Vural Korkut Ş., Toksoz F., Un C. Generation and Analysis of Expressed Sequence Tags from Olea europaea L.. Hindawi Publishing Corporation Comparative and Functional Genomics Volume 2010, Article ID 757512.
  • [9] Nagaraj, S.H., Gasser, R.B., Ranganathan S. 2006 A hitchhiker’s guide to expressed sequence tag (EST) analysis. Brıefıngs In Bıoınformatıcs. Vol 8. No 1. 6-21.
  • [10] Matukumalli L.K., Grefenstette J.J. , Sonstegard T.S. , Van Tassell C.P. EST-PAGE—managing and analyzing EST data, Bioinformatic Applications Note Vol. 20 no. 2 2004, pages 286–288 DOI: 10.1093/bioinformatics/btg411.
  • [11] Litt, M. and Luty, J.A. 1989. A hypervariable microsatelllite revealed by in vitro amplification of a dinucleotide repeat within the cardiac muscle actin gene. Am J Hum Genet. 44: 397-401.
  • [12] Devrim K.A ve Kaya N. 2004. Genetik Polimorfizm ve Mikrosatelitler.Kafkas Üniversitesi Veterinerlik Fakültesi Dergisi. 10(2):215-220.
  • [13] Kibar U. 2012. “Ankara Üniversitesi Biyoteknoloji Enstitüsü Est (Expressed Sequence Tag) Koleksiyonlarından Üzüm Mikrosatellit Lokuslarının Tanımlanması” Ankara. s. 3-4
  • [14] Aktaş P. ve Sönmez Z. “Çiftlik Hayvanlarının Islahında İmleç Yardımlı Seleksiyon (MAS)” 7. Ulusal Zooteknoloji Öğrenci Kongresi 20-22 Mayıs 2011. Aydın.
  • [15] Castillo, A., Budak,H., Varshney, R.K., Dorado, G., Graner, A., Hernandez, P. Transferability and polymorphism of barley EST-SSR markers used for phylogenetic analysis in Hordeum chilense, BMC Plant Biol., 8 (1) (2008), p. 97.
  • [16] Yuan, Y. Long, P., Jiang, C., Li, M., Huang, L., Development and characterization of simple sequence repeat (SSR) markers based on a full-length cDNA library of Scutellaria baicalensis Genomics, 105 (1) (2015), pp. 61–67.
  • [17] Karsi, A., Patterson, A., Feng, J., Liu, Z.J. 2002. Translational machinery of channel catfish: I. A transcriptomic approach to the analysis of 32 40S ribosomal protein genes and their expression, Gene, 291: 177–186.
  • [18] Çiftçi Y.2004. YUNUS Araştırma Bülteni-yıl :4, sayı:2, Haziran 2004.
  • [19] Wenz HM, Robertson JM, Menchen S, Oaks F, Demorest DM, Scheibler D, Rosenblum BB, Wike C, Gilbert DA, Efcavitch JW (1998) High-precision genotyping by denaturing capillary electrophoresis. Genome Res s:69–80.
  • [20] Abajian C., SPUTNIK, 1994, Espresso Software Development http://espressosoftware.com/pages/ sputnik.jsp.
  • [21] Agarwal, P. and States, D.J. 1994. The repeat pattern toolkit (RPT): analyzing the structure and evolution of C. elegans. Proc. Int. Conf. Intell. Sys. Mol. Biol. 2: 1–9.
  • [22] Kurtz, S., Choudhuri, J.V., Ohlebusch E., Schleiermacher, C., Stoye, J., Giegerich R. 2001. REPuter: the manifold application of repeats analysis on a genomic scale. Nucleic Acids Res. 29: 4633–4642.
  • [23] Benson B., “Tandem repeats finder: a software to analyze DNA sequences” Nucleic Acids Research (1999) Vol. 27, No. 2, pp. 573-580.
  • [24] Temnykh, S., DeClerk, G., Lukashova, A. et al. 2001. Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): Frequency, length variation, transposon associations, and genetic marker potential. Genome Res. 11: 1441–1452.
  • [25] Castelo, A.T., Martins W., Gao, G.R. 2002. TROLL – tandem repeat occurrence locator. Bioinformatics 18: 634–636.
  • [26] California State University. 2009. SSR Finder http://fresnostate.edu/csm/faculty-research/ssrfinder/).
  • [27] Martins WS, Lucas DCS, Neves KFS, Bertioli DJ, WebSat - A Web Software for MicroSatellite Marker Development, Bioinformation 2009, 3(6):282-283.
  • [28] Suresh B. Mudunuri and Hampapathalu. A. Nagarajaram (2007) IMEx: Imperfect Microsatellite Extractor. Bioinformatics 23(10):1181-1187.
Yıl 2017, Cilt: 35 Sayı: 4, 763 - 770, 01.12.2017

Öz

Kaynakça

  • [1] Luscombe NM, Greenbaum D, Gerstein M. What is bioinformatics? An introduction and overview. Yearbook of Medical Informatics 2001; s:83-85.
  • [2] Polat M., Karahan A.G. (2009) “Multidisipliner Yeni Bir Bilim Dalı: Biyoinformatik ve Tıpta Uygulamaları” S.D.Ü. TIp Fak. Derg. 16(3)/ 41-50
  • [3] Collins F.S., Morgan M. and Patrinos A. The Human Genome Project: Lessons from Large- Scale Biology Science 2003; 300, 286-290.
  • [4] Altschul, S.F., Boguski, M.S., Gish, W. & Wootton, J.C. (1994) “Issues in Searching Molecular Sequence Databases” Nature Genet. 6:119-129
  • [5] Yurtsever M. (2011) “Zeytin (Olea Europaea L.) Bitkisinden Karbonik Anhidraz Enzimini Kodlayan Genin Klonlanması” s. 20.
  • [6] Rugini E., Biasi R. ve Muleo R., (2000). “Olive (Olea europaea var. sativa) Transformation; Mohan J.S., Minocha S.C., Molecular Biology of Woody Plants, 2, Kluwer Academic Publishers, Dordrecht.
  • [7] http://arastirma.tarim.gov.tr/izmirzae.
  • [8] Ozdemir Ozgentürk N., Oruc F., Sezerman U., Kuçukkural A., Vural Korkut Ş., Toksoz F., Un C. Generation and Analysis of Expressed Sequence Tags from Olea europaea L.. Hindawi Publishing Corporation Comparative and Functional Genomics Volume 2010, Article ID 757512.
  • [9] Nagaraj, S.H., Gasser, R.B., Ranganathan S. 2006 A hitchhiker’s guide to expressed sequence tag (EST) analysis. Brıefıngs In Bıoınformatıcs. Vol 8. No 1. 6-21.
  • [10] Matukumalli L.K., Grefenstette J.J. , Sonstegard T.S. , Van Tassell C.P. EST-PAGE—managing and analyzing EST data, Bioinformatic Applications Note Vol. 20 no. 2 2004, pages 286–288 DOI: 10.1093/bioinformatics/btg411.
  • [11] Litt, M. and Luty, J.A. 1989. A hypervariable microsatelllite revealed by in vitro amplification of a dinucleotide repeat within the cardiac muscle actin gene. Am J Hum Genet. 44: 397-401.
  • [12] Devrim K.A ve Kaya N. 2004. Genetik Polimorfizm ve Mikrosatelitler.Kafkas Üniversitesi Veterinerlik Fakültesi Dergisi. 10(2):215-220.
  • [13] Kibar U. 2012. “Ankara Üniversitesi Biyoteknoloji Enstitüsü Est (Expressed Sequence Tag) Koleksiyonlarından Üzüm Mikrosatellit Lokuslarının Tanımlanması” Ankara. s. 3-4
  • [14] Aktaş P. ve Sönmez Z. “Çiftlik Hayvanlarının Islahında İmleç Yardımlı Seleksiyon (MAS)” 7. Ulusal Zooteknoloji Öğrenci Kongresi 20-22 Mayıs 2011. Aydın.
  • [15] Castillo, A., Budak,H., Varshney, R.K., Dorado, G., Graner, A., Hernandez, P. Transferability and polymorphism of barley EST-SSR markers used for phylogenetic analysis in Hordeum chilense, BMC Plant Biol., 8 (1) (2008), p. 97.
  • [16] Yuan, Y. Long, P., Jiang, C., Li, M., Huang, L., Development and characterization of simple sequence repeat (SSR) markers based on a full-length cDNA library of Scutellaria baicalensis Genomics, 105 (1) (2015), pp. 61–67.
  • [17] Karsi, A., Patterson, A., Feng, J., Liu, Z.J. 2002. Translational machinery of channel catfish: I. A transcriptomic approach to the analysis of 32 40S ribosomal protein genes and their expression, Gene, 291: 177–186.
  • [18] Çiftçi Y.2004. YUNUS Araştırma Bülteni-yıl :4, sayı:2, Haziran 2004.
  • [19] Wenz HM, Robertson JM, Menchen S, Oaks F, Demorest DM, Scheibler D, Rosenblum BB, Wike C, Gilbert DA, Efcavitch JW (1998) High-precision genotyping by denaturing capillary electrophoresis. Genome Res s:69–80.
  • [20] Abajian C., SPUTNIK, 1994, Espresso Software Development http://espressosoftware.com/pages/ sputnik.jsp.
  • [21] Agarwal, P. and States, D.J. 1994. The repeat pattern toolkit (RPT): analyzing the structure and evolution of C. elegans. Proc. Int. Conf. Intell. Sys. Mol. Biol. 2: 1–9.
  • [22] Kurtz, S., Choudhuri, J.V., Ohlebusch E., Schleiermacher, C., Stoye, J., Giegerich R. 2001. REPuter: the manifold application of repeats analysis on a genomic scale. Nucleic Acids Res. 29: 4633–4642.
  • [23] Benson B., “Tandem repeats finder: a software to analyze DNA sequences” Nucleic Acids Research (1999) Vol. 27, No. 2, pp. 573-580.
  • [24] Temnykh, S., DeClerk, G., Lukashova, A. et al. 2001. Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): Frequency, length variation, transposon associations, and genetic marker potential. Genome Res. 11: 1441–1452.
  • [25] Castelo, A.T., Martins W., Gao, G.R. 2002. TROLL – tandem repeat occurrence locator. Bioinformatics 18: 634–636.
  • [26] California State University. 2009. SSR Finder http://fresnostate.edu/csm/faculty-research/ssrfinder/).
  • [27] Martins WS, Lucas DCS, Neves KFS, Bertioli DJ, WebSat - A Web Software for MicroSatellite Marker Development, Bioinformation 2009, 3(6):282-283.
  • [28] Suresh B. Mudunuri and Hampapathalu. A. Nagarajaram (2007) IMEx: Imperfect Microsatellite Extractor. Bioinformatics 23(10):1181-1187.
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Nehir Özdemir Özgentürk Bu kişi benim 0000-0003-3809-6303

Gamze Turan Bu kişi benim 0000-0003-4563-2792

Nur Hatice Aydın Bu kişi benim 0000-0001-9213-285X

Salih Ulu Bu kişi benim 0000-0002-4505-0197

Zehra Ömeroğlu Ulu Bu kişi benim 0000-0002-8884-4683

Yayımlanma Tarihi 1 Aralık 2017
Gönderilme Tarihi 28 Kasım 2016
Yayımlandığı Sayı Yıl 2017 Cilt: 35 Sayı: 4

Kaynak Göster

Vancouver Özdemir Özgentürk N, Turan G, Aydın NH, Ulu S, Ömeroğlu Ulu Z. THE DETECTION OF SSRs FROM OLIVE (Olea europaea L.) EST COLLECTION BY COMPARING 4 DIFFERENT BIOINFORMATICS SOFTWARES. SIGMA. 2017;35(4):763-70.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/