Issue
Association analysis of tolerance to dieback phenomena and trunk form using ISSR markers in Quercus brantii
Corresponding Author(s) : Ali-Ashraf Mehrabi
Cellular and Molecular Biology,
Vol. 64 No. 13: Issue 13
Abstract
Oak decline is a complex syndrome in which several damaging agents interact and bring about a serious dieback in tree condition. Genetic diversity is a key factor for better adoption of natural populations to environmental stresses. The objective of this research was to identify the association of polymorphism patterns of different reproducible genomic Inter simple sequence repeats (ISSR markers) to level of dieback phenomena and also growth type in 18 different stands of Persian oak in central Zagros region. Totally, 180 trees were sampled and evaluated for growth type, tree diameter at breast height (DBH) and level of tree dieback. Genomic DNAs extracted of fresh leaves amplified using 15 multi-locus ISSR primers. The population structure determined using the Bayesian model-based clustering method implemented in STRUCTURE software by Monte Carlo Markov Chain (MCMC) method. Five distinct sub-populations (K=5) determined by the log likelihood of the data. Genome wide association study (GWAS) performed using the generalized linear model (GLM) and the mixed linear model (MLM) with Kinship matrix. Informative alleles recognized for level of tolerance to dieback and tree growth type traits. It was observed a significant co-segregation for phenotypic data and some of amplified fragments. Identification of these informative DNA markers can be utilized for pre-screening of high quality oak seedlings in early growth stages and better management in restoration of damaged stands.
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- Taleshi H, Maasoumi B, Maryam. Leaf morphological variation of Quercus brantii Lindl. along an altitudinal gradient in Zagros forests of Fars Province, Iran. European Journal of Experimental Biology. 2013; 3(5): 463-468.
- Beyranvand A, Attarod P, Tavakoli M, Marvi-Mohdajer MR. Zagros forest decline; reasons, consequences, and solutions. Quarterly Journal of Forest and Rangeland. 2016; 106: 18-29 (In Persian).
- Attarod P, Sadeghi SMM, Pypker TG, Bayramzadeh V. Oak trees decline; a sign of climate variability impacts in the west of Iran. Caspian Journal of Environmental Sciences. 2017; 15 (4): 375-386.
- Broberg M, Doonan J, Mundt F, Denman S, McDonald JE. Integrated multi-omic analysis of host-microbiota interactions in acute oak decline. 2018; 30(1): 6-21.
- Uchiyama K, Iwata H, Moriguchi Y, Ujino-Ihara T, Ueno S, et al. Demonstration of Genome-Wide Association Studies for Identifying Markers for Wood Property and Male Strobili Traits in Cryptomeria japonica. PLoS ONE. 2013; 8(11).
- Powell W, Morgante M, Andre C, et al. (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Molecular Breeding, 2(3): 225–238.
- Russell JR, Fuller JD, Macaulay M, et al. Direct comparison of levels of genetic variation among barley accessions detected by RFLPs, AFLPs, SSRs and RAPDs. Theoretical and Applied Genetics. 1997; 95(4):714–722.
- Godwin ID, Aitken EA, Smith LW. Application of inter simple sequence repeat (ISSR) markers to plant genetics. Electrophoresis. 1997; 18(9):1524-8.
- Pradeep Reddy M, Sarla N, Siddiq EA (2002) Inter simple sequence repeat (ISSR) polymorphism and its application in plant breeding. Euphytica, 128(1): 9–17.
- Neale DB (2007) Genomics to tree breeding and forest health. Current Opinion in Genetics & Development. 2017; 17:539–544.
- Awais Khan K and Korban SK. Association mapping in forest trees and fruit crops. Experimental Botany. 2012; 63(11): 4045-4060.
- Minamikawa MF, Nonaka K, Kaminuma E, Kanegae HK, Onogi A, Goto S, et al. Genome-wide association study and genomic prediction in citrus: Potential of genomics-assisted breeding for fruit quality traits. Nature Scientific Reports. 2017; 7: 4721.
- DOYLE JJ, DOYLE JL. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin. 1987; 19: 11-15.
- Aga E, Bekele E, Bryngelsson T. Inter-simple sequence repeat (ISSR) variation in forest coffee trees (Coffea arabica L.) populations from Ethiopia. Genetica. 2005; 124(2-3):213-21.
- Nei M (1987) Molecular evolutionary genetics. New York: Columbia University Press. 512 pp
- Peakall R, Smouse PE () GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics. 2012; 28: 2537-2539.
- Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics. 155: 945-959.
- Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics. 2007; 23: 2633-2635.
- Alikhani L, Shaï¬e Rahmani M, Shabanian N, Badakhshan H, Khub A. Genetic variability and structure of Quercus brantii assessed by ISSR, IRAP and SCoT marker. Gene. 2014;552, 176–183.
- Ashley MV, Abraham ST, Backs JR, Koenig WD. Landscape genetics and population structure in Valley Oak (Quercus lobata Nee). American Journal of Botany. 2015; 102 (12): 2124–2131.
- Siegismund HR and Jensen JS. Intrapopulation and interpopulation genetic variation of Quercus in Denmark. Scand. J. For. Res. 2001; 16: 103–116.
- Manjarrés F, Idol J, Sork VL. Mating patterns of black oak Quercus velutina (Fagaceae) in a Missouri oak-hickory forest. Journal of Heredity. 2006; 97(5):451-455.
- Berg EE, Hamrick JE Fine-scale genetic structure of a Turkey oak forest. Evolution. 1995; 49(1): 110-120.
- Zhu C, Gore ME, Buckler S, Yu J. Status and prospects of association mapping in plants. The plant genome. 2008; 1: 5-20.
- Zhang Z, Ersoz E, Lai CQ, et al. Mixed linear model approach adapted for genome-wide association studies. Nature Genetics. 2010; 42: 355–360.
- Zhang Q, Wu C, Ren F, Yan L and Zhang C. Association analysis of important agronomical traits of maize inbred lines with SSRs. Australian Journal of Crop Science. 2012; 6: 1131–1138.
- MathiThumilan B, Sajeevan RS, Biradar J, Madhuri T, NatarajaK N, Sreeman SM. Development and Characterization of Genic SSR Markers from Indian Mulberry Transcriptome and Their Transferability to Related Species of Moraceae. 2016. PLoSONE 11(9): e0162909.
References
Taleshi H, Maasoumi B, Maryam. Leaf morphological variation of Quercus brantii Lindl. along an altitudinal gradient in Zagros forests of Fars Province, Iran. European Journal of Experimental Biology. 2013; 3(5): 463-468.
Beyranvand A, Attarod P, Tavakoli M, Marvi-Mohdajer MR. Zagros forest decline; reasons, consequences, and solutions. Quarterly Journal of Forest and Rangeland. 2016; 106: 18-29 (In Persian).
Attarod P, Sadeghi SMM, Pypker TG, Bayramzadeh V. Oak trees decline; a sign of climate variability impacts in the west of Iran. Caspian Journal of Environmental Sciences. 2017; 15 (4): 375-386.
Broberg M, Doonan J, Mundt F, Denman S, McDonald JE. Integrated multi-omic analysis of host-microbiota interactions in acute oak decline. 2018; 30(1): 6-21.
Uchiyama K, Iwata H, Moriguchi Y, Ujino-Ihara T, Ueno S, et al. Demonstration of Genome-Wide Association Studies for Identifying Markers for Wood Property and Male Strobili Traits in Cryptomeria japonica. PLoS ONE. 2013; 8(11).
Powell W, Morgante M, Andre C, et al. (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Molecular Breeding, 2(3): 225–238.
Russell JR, Fuller JD, Macaulay M, et al. Direct comparison of levels of genetic variation among barley accessions detected by RFLPs, AFLPs, SSRs and RAPDs. Theoretical and Applied Genetics. 1997; 95(4):714–722.
Godwin ID, Aitken EA, Smith LW. Application of inter simple sequence repeat (ISSR) markers to plant genetics. Electrophoresis. 1997; 18(9):1524-8.
Pradeep Reddy M, Sarla N, Siddiq EA (2002) Inter simple sequence repeat (ISSR) polymorphism and its application in plant breeding. Euphytica, 128(1): 9–17.
Neale DB (2007) Genomics to tree breeding and forest health. Current Opinion in Genetics & Development. 2017; 17:539–544.
Awais Khan K and Korban SK. Association mapping in forest trees and fruit crops. Experimental Botany. 2012; 63(11): 4045-4060.
Minamikawa MF, Nonaka K, Kaminuma E, Kanegae HK, Onogi A, Goto S, et al. Genome-wide association study and genomic prediction in citrus: Potential of genomics-assisted breeding for fruit quality traits. Nature Scientific Reports. 2017; 7: 4721.
DOYLE JJ, DOYLE JL. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin. 1987; 19: 11-15.
Aga E, Bekele E, Bryngelsson T. Inter-simple sequence repeat (ISSR) variation in forest coffee trees (Coffea arabica L.) populations from Ethiopia. Genetica. 2005; 124(2-3):213-21.
Nei M (1987) Molecular evolutionary genetics. New York: Columbia University Press. 512 pp
Peakall R, Smouse PE () GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics. 2012; 28: 2537-2539.
Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics. 155: 945-959.
Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics. 2007; 23: 2633-2635.
Alikhani L, Shaï¬e Rahmani M, Shabanian N, Badakhshan H, Khub A. Genetic variability and structure of Quercus brantii assessed by ISSR, IRAP and SCoT marker. Gene. 2014;552, 176–183.
Ashley MV, Abraham ST, Backs JR, Koenig WD. Landscape genetics and population structure in Valley Oak (Quercus lobata Nee). American Journal of Botany. 2015; 102 (12): 2124–2131.
Siegismund HR and Jensen JS. Intrapopulation and interpopulation genetic variation of Quercus in Denmark. Scand. J. For. Res. 2001; 16: 103–116.
Manjarrés F, Idol J, Sork VL. Mating patterns of black oak Quercus velutina (Fagaceae) in a Missouri oak-hickory forest. Journal of Heredity. 2006; 97(5):451-455.
Berg EE, Hamrick JE Fine-scale genetic structure of a Turkey oak forest. Evolution. 1995; 49(1): 110-120.
Zhu C, Gore ME, Buckler S, Yu J. Status and prospects of association mapping in plants. The plant genome. 2008; 1: 5-20.
Zhang Z, Ersoz E, Lai CQ, et al. Mixed linear model approach adapted for genome-wide association studies. Nature Genetics. 2010; 42: 355–360.
Zhang Q, Wu C, Ren F, Yan L and Zhang C. Association analysis of important agronomical traits of maize inbred lines with SSRs. Australian Journal of Crop Science. 2012; 6: 1131–1138.
MathiThumilan B, Sajeevan RS, Biradar J, Madhuri T, NatarajaK N, Sreeman SM. Development and Characterization of Genic SSR Markers from Indian Mulberry Transcriptome and Their Transferability to Related Species of Moraceae. 2016. PLoSONE 11(9): e0162909.