Volume 9, Issue 1 (2018)
JMBS 2018, 9(1): 93-102 |
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Aghaali Z, Darvishzadeh R, Aghaei M. Association Analysis for Morphological Traits in Iranian Basil Accessions Using ISSR Marker . JMBS 2018; 9 (1) :93-102
URL: http://biot.modares.ac.ir/article-22-24297-en.html
URL: http://biot.modares.ac.ir/article-22-24297-en.html
1- Plant Breeding & Biotechnology Department, Agriculture Faculty, Urmia University, Urmia, Iran
2- Plant Breeding & Biotechnology Department, Agriculture Faculty, Urmia University, Urmia, Iran, Plant Breeding & Biotechnology Department, Agriculture Faculty, Urmia University, 11 Kilometer Sero Road, Daneshgah Boulevard, Urmia, Iran. Postal Code: 5756151818 ,r.darvishzadeh@urmia.ac.ir
3- Horticulture Department, Agriculture Faculty, Urmia University, Urmia, Iran
2- Plant Breeding & Biotechnology Department, Agriculture Faculty, Urmia University, Urmia, Iran, Plant Breeding & Biotechnology Department, Agriculture Faculty, Urmia University, 11 Kilometer Sero Road, Daneshgah Boulevard, Urmia, Iran. Postal Code: 5756151818 ,
3- Horticulture Department, Agriculture Faculty, Urmia University, Urmia, Iran
Abstract: (4616 Views)
Aims: The aim of the present study was to map the morphological traits in Iranian Basil accessions (Oscillum Oscillos) by Inter Simple Sequence Repeats (ISSRs) markers.
Materials & Methods: In this experimental study, 50 Iranian basil accessions from different geographical regions were used and the experiment was based on a completely randomized design. Extracting DNA and PCR was performed with 12 ISSR primers for Basil accessions. Components of variance, general heritability, and genetic and phenotypic variation coefficients were calculated by formula. Bayesian method, linear mixed model as well as Minitab 17, DARwin 5, Structure 2.3.3, Tassel 3, and SPSS 20 software were used. Findings: There was a positive correlation between the majority of traits for basil accessions. The highest coefficient of genetic variation was observed in stem diameter and internode length and the lowest was observed in flower number. Heritability varied between 3.63% and 94.24%. Foutrteen loci with 7 traits were recognized. The range of phenotypic changes varied from 3% to 29%. The highest number of locus was obtained for stem diameter traits and the lowest was obtained for lateral branch number. Six loci were specifically associated with only one trait and other loci were common in traits. The phenotypic variation varied between 17% and 29%.
Conclusion: Traits have a wide variety in Basil accessions and there is a positive correlation between the majority of them. The heritability of the traits varies from 3.63% to 94.24% and the range of the phenotypic changes varies from 3% to 29%. The highest number is for stem diameter traits and lowest is for lateral branch number. Six loci are specifically associated with only one trait and other loci are common in traits. The phenotypic variation varies between 29% ‐17%.
Materials & Methods: In this experimental study, 50 Iranian basil accessions from different geographical regions were used and the experiment was based on a completely randomized design. Extracting DNA and PCR was performed with 12 ISSR primers for Basil accessions. Components of variance, general heritability, and genetic and phenotypic variation coefficients were calculated by formula. Bayesian method, linear mixed model as well as Minitab 17, DARwin 5, Structure 2.3.3, Tassel 3, and SPSS 20 software were used. Findings: There was a positive correlation between the majority of traits for basil accessions. The highest coefficient of genetic variation was observed in stem diameter and internode length and the lowest was observed in flower number. Heritability varied between 3.63% and 94.24%. Foutrteen loci with 7 traits were recognized. The range of phenotypic changes varied from 3% to 29%. The highest number of locus was obtained for stem diameter traits and the lowest was obtained for lateral branch number. Six loci were specifically associated with only one trait and other loci were common in traits. The phenotypic variation varied between 17% and 29%.
Conclusion: Traits have a wide variety in Basil accessions and there is a positive correlation between the majority of them. The heritability of the traits varies from 3.63% to 94.24% and the range of the phenotypic changes varies from 3% to 29%. The highest number is for stem diameter traits and lowest is for lateral branch number. Six loci are specifically associated with only one trait and other loci are common in traits. The phenotypic variation varies between 29% ‐17%.
Subject:
Agricultural Biotechnology
Received: 2018/08/20 | Accepted: 2018/08/20 | Published: 2018/08/20
Received: 2018/08/20 | Accepted: 2018/08/20 | Published: 2018/08/20
References
1. Marotti M, Piccaglia R, Giovanelli E. Differences in
essential oil composition of basil (Ocimum basilicum L.)
Italian cultivars related to morphological characteristics.
J Agric Food Chem. 1996;44(12):3926‐9.
2. Prakash V. Leafy spices. Boca Raton: CRC Press; 1990.
3. Aghaei M, Hasani A, Darvishzadeh R. Study on
phenotypic variation of total phenol and antioxidant
capacity among Iranian basil (Ocimum basilicum L.)
landraces. Iran J Med Aromat Plants. 2014;30(2):283‐91.
[Persian]
4. Grayer RJ, Bryan SE, Veitch NC, Gldstone FJ, Paton A,
Wollenweber E. External flavones in sweet basil,
Ocimum basilicum, and related taxa. Phytochemistry.
1996;43(5):1041‐7.
5. Moghaddam M, Omidbeygi R, Salimi A, Naghavi MR.
An Assessment of genetic diversity among Iranian
populations of Basil (Ocimum spp.) using morphological
traits. Iran J Hortic Sci. 2014;44(3):227‐43. [Persian]
6. Zaccardelli M, Gnocchi S, Carelli M, Scotti C. Variation
among and within Italian alfalfa ecotypes by means of
bioagronomic characters and amplified fragment length
polymorphism analyses. Plant Breeding.
2008;122(1):61‐5.
7. Li Q, Liu QC, Zhai H, Ma DF, Wang X, Li XQ, et al.
Genetic diversity in main parents of sweet potato in
china as revealed by ISSR markers. Acta Agron Sin.
2008;34(6):972‐7.
8. Virk PS, Ford‐Lioyd BV, Jackson MT, Pooni HS,
Clemeno TP, Newbury HJ. Marker‐assisted prediction of
agronomic traits using diverse rice germplasm. In: Khush
GS, editor. Rice genetics III: Proceedings of the third
international rice genetics symposium, Manila,
Philippines, 16‐20 october 1995. Los Baños:
International Rice Research Institute; 1996. pp. 307‐16
9. Zhao W, Wang Y, Chen T, Jia G, Wang X, Qi J, et al.
Genetic structure of mulberry from different ecotypes
revealed by ISSRs in china: An implications for
conservation of local mulberry varieties. Sientia
Horticulturae. 2007;115(1):47‐55.
10. Parrisseaux B, Bernardo R. In silico mapping of
quantitative trait loci in maize. Theor Appl Genet.
2004;109(3):508‐14.
11. Russo MA, Ficco DBM, Marone D, De Vita P, Vallega V,
Rubies‐Autonel C, et al. A major QTL for resistance to
soil‐borne cereal mosaic virus derived from an old
Italian durum wheat cultivar. J Plant Interact.
2012;7(4):290‐300
12. Abdurakhmonov IY, Abdukarimov A. Application of
association mapping to understanding the genetic
diversity of plant germplasm resources. Int J Plant
Genomics. 2008;2008:574927
13. Zhang Q, Wu C, Ren F, Li Y, Zhang C. Association
analysis of important agronomical traits of maize inbred
lines with SSRs. Aust J Crop Sci. 2012;6(6):1131‐8
14. Buckler E, Casstevens T, Bradbury P, Zhang Z, Kroon
D, Glaubitz J, et al. User manual for TASSEL, trait analysis
by association, evolution and linkage [Internet]. New
York: Comell University; 2014 [cited 2016 May 17].
Available from:
https://confluence.cornell.edu/display/tassel/manual
15. Ghavami F, Elias EM, Mamidi S, Ansari O, Sargolzaei
M, Adhikari T, et al. Mixed model association mapping for
Fusarium head blight resistance in Tunisian‐derived
durum wheat populations. G3 (Bethesda).
2011;1(3):209‐18
16. Yu J, Pressoir G, Briggs WH, Vroh Bi I, Yamasaki M,
Doebley JF, et al. A unified mixed‐model method for
association mapping that accounts for multiple levels of
relatedness. Nat Genet. 2006;38(2):203‐8.
17. Thornsberry JM, Goodman MM, Doebley J, Kresovich
S, Nielsen D, Buckler ES. Dwarf8 polymorphisms
associate with variation in flowering time. Nat Genet.
2001;28(3):286‐9.
18. Kraakman ATW, Martínez F, Mussiraliev B, Van
Eeuwijk FA, Niks RE. Linkage disequilibrium mapping of
morphological, resistance and other agronomically
relevant traits in modern spring barley cultivars. Mol
Breed. 2006;17(1):41‐58.
19. Breseghello F, Sorrells M. Association mapping of
kernel size and milling quality in wheat (Triticum
aestivum L.) cultivars. Genetics. 2006;172(2):1165‐77.
20. Darvishzadeh R, Poormohammad Kiani S, Huguet T,
Sarrafi A. Genetic variation and identification of
molecular marker associated with partial resistance to
Phoma macdonaldii in gamma‐irradiation‐induced
mutants of sunflower. Can J Plant Pathol.
2008;30(1):106‐14
21. Davar R, Darvishzadeh R, Rezaee Danesh Y, Kholghi
M, Azizi M, Shah DA. Single sequence repeat markers
associated with partial resistance in sunflower to Phoma
macdonaldii. Phytopathol Mediterr. 2012;51(3):541‐8.
22. Saeed A, Darvishzadeh R, Basirnia A. Simple
sequence repeat markers associated with agromorphological
traits in chickpea (Cicer arietinum L.).
Zemdirb (Agric). 2013;100(4):433‐40.
23. Yan J, Shan T, Warburton ML, Buckler ES, McMullen
MD, Crouch J. Genetic characterization and linkage disequilibrium estimation of a global maize collection
using SNP markers. PLoS ONE. 2009;4(12):e8451.
24. D’hoop BB, Paulo MJ, Mank RA, Van Eck HJ, Van
Eeuwijk FA. Association mapping of quality traits in
potato (Solanum tuberosum L.). Euphytica. 2008;161(1‐
2):47‐60.
25. Jun TH, Van K, Kim MY, Lee SH, Walker DR.
Association analysis using SSR markers to find QTL for
seed protein content in soybean. Euphytica,
2008;162(2):179‐91.
26. De Masi L, Siviero P, Esposito C, Castaldo D, Siano F,
Laratta B. Assessment of agronomic, chemical and
genetic variabilityin common basil (Ocimum basilicum
L.). Eur Food Res Technol. 2006;223:273.
27. Jaccard P. New research on the flower distribution.
Moulins: Imprimeries Réunies; 1908. [French]
28. Pritchard JK, Stephanes M, Rosenberg NA, Donnelly
P. Association mapping in structured populations. Am J
Hum Genet. 2000;67(1):170‐81.
29. Spataro G, Tiranti B, Arcaleni P, Bellucci E, Attene G,
Papa R, et al. Genetic diversity and structure of a
worldwide collection of Phaseolus coccineus L. Theor
Appl Genet. 2011;122(7):1281‐91.
30. Kruskal WH, Allen Wallis W. Use of ranks in onecriterion
variance analysis. J Am Stat Assoc.
1952;47(260):583‐621.
31. Siahsar BA, Taleei AR, Peighambari SA, Naghavi MR.
Mapping of forage quality‐related genomic locations of
barley under drought stress condition. Iran J Field Crop
Sci. 2010;40(4):35‐45. [Persian]
32. Naroui Rad MR, Allah Do M, Ghasemi A, Fanaei HR.
Investigation of genetic diversity and broad sense
heritability in watermelon accessions of Sistan. Iran J
Hortic Sci. 2010;40(4):95‐103. [Persian]
33. Stansfield WD. Schaum's outline of theory and
problems of genetics. 3th Edition. New York: McGraw‐
Hill; 1991. p. 459.
34. Panthee DR, Kc RB, Regmi HN, Subedi PP, Bhattarai S,
Dhakal J. Diversity analysis of garlic (Allium sativum L.)
germplasms available in Nepal based on morphological
characters. Genet Resour Crop Evol. 2006;53(1):205‐12.
35. Lotti C, Marcotrigiano AR, De Giovanni C, Resta P,
Ricciardi A, Zonno V, et al. Univariate and multivariate
analysis performed on bio‐agronomical traits of Cucumis
melo L. germplasm. Genet Resour Crop Evol.
2008;55(4):511‐22.
36. Eyvaz Nezhad Hafez N, Darvishzadeh R, Bernousi I,
Moghadam M. Study on seed morphological diversity in
sunflower recombinant inbred lines using multivariate
analysis. Biotechnol Tarbiat Modares Univ.
2014;5(2):21‐8. [Persian]
37. Kakaee M, Zebarjadi AR, Mostafaee A, Rezaee Zad A.
Determination of drought tolerant genotypes in Brassica
napus L. based on drought tolerance indices. Electron J
Crop Prod. 2011;3(4):107‐24. [Persian]
38. Fazeli F, Cheghamirza K. Genetic variation in Iranian
chickpea (Cicer arietinum L. kabuli type) based on
agronomic traits and RAPD marker. Seed Plant Improv J.
2011;27(4):555‐79. [Persian]
39. Taran B, Zhang C, Warkentin T, Tullu A, Vandenberg
A. Genetic diversity among varieties and wild species
accessions of pea (Pisum sativum L.) based on molecular
markers, and morphological and physiological
characters. Genome. 2005;48(2):257‐72.
40. Terzopoulos PJ, Bebeli PJ. Genetic diversity analysis
of Mediterranean faba bean (Vicia faba L.) with ISSR
markers. Field Crops Res. 2008;108(1):39‐44.
41. Iruela M, Rubio J, Cubero JI, Gil J, Millán T.
Phylogenetic analysis in the genus Cicer and cultivated
chickpea using RAPD and ISSR markers. Theor Appl
Genet. 2002;104(4):643‐51.
42. Selvaraj MG, Narayana M, Schubert AM, Ayers JL,
Baring MR, Burow MD. Identification of QTLs for pod and
kernel traits in cultivated peanut by bulked segregant
analysis. Electron J Biotechnol. 2009;12(2):1‐10.
43. Rady MR, Nazif NM. Rosmarinic acid content and
RAPD analysis of in vitro regenerated basil (Ocimum
americanum) plants. Fitoterapia. 2005;76(6):525‐33.
44. Beiki AH, Abbaspour N, Mozafari J. Genetic diversity
of cultivated and wild crocus genus in Iran with ISSR
markers. J Cell Mol Res (Iran J Biol). 2013;26(2):164‐73.
[Persian]
45. Abdollahi Mandoulakani B, Azizi H. Identification of
ISSR markers associated with morphological traits in
cultivated alfalfa (Medicago sativa L.) populations. J Cell
Mol Res (Iran J Biol). 2014;27(2):260‐8. [Persian]
46. Ivandic V, Hackett CA, Nevo E, Keith R, Thomas WT,
Forster BP. Analysis of simple sequence repeats (SSRs) in
wild barley from the Fertile Crescent: Associations with
ecology, geography and flowering time. Plant Mol Biol.
2002;48(5‐6):511‐27.
47. Mohammadi R, Naghavi MR, Maali Amiri R, Rezaei M.
Identification of informative markers of SSR in some of
alfalfa (Medicago sativa L.) accessions from Iran. Mod
Genet. 2010;5(2):57‐66. [Persian]
48. Rashidi Monfared S, Mardi M, Hosein Zadeh AH,
Naghavi MR. Relationship analysis of important
agronomic traits and SSAP retrotransposon markers in
durum wheat samples. Mod Genet. 2008;3(2):29‐35.
[Persian]
49. Abdollahi Mandoulakani B, Alami A, Esfahani M.
Association analysis for morphological traits in peanut
(Arachis hypogea L.) using microsatellite markers. Iran J
Crop Sci. 2011;12(4):510‐9. [Persian]
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