Association of SSR markers and morpho-physiological traits associated with salinity tolerance in sugar beet (Beta vulgaris L.)

详细信息    查看全文

• 作者：Zahra Abbasi ; Mohammad Mahdi Majidi ; Ahmad Arzani ; Abazar Rajabi…
• 关键词：Genetic variation ; Association analysis ; SSR ; Salt tolerance ; Quality traits ; Sugar beet
• 刊名：Euphytica
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：205
• 期：3
• 页码：785-797
• 全文大小：436 KB
• 参考文献：Ahmadi M, Majidi Heravan E, Sadeghian SY, Mesbah M, Darvish F (2011) Drought tolerance variability in S1 pollinator lines developed from a sugar beet open population. Euphytica 178:339-49
  Al-Karaki GN (2000) Growth, water use efficiency and sodium and potassium acquisition by tomato cultivars grown under salt stress. J Plant Nutr 23:1-CrossRef
  B?nziger M, Edmeades GO, Beck D, Bellon M (2000) Breeding for drought and nitrogen stress tolerance in maize. CIMMYT, Mexico City
  Bernardo R (2008) Molecular markers and selection for complex traits in plants: learning from the last 20 years. Crop Sci 48:1649-664CrossRef
  Bhargava A, Shukla S, Katiyar RS, Ohri D (2003) Selection parameters for genetic improvement in Chenopodium grain on sodic soil. J Appl Hortic 5:45-8
  Bhargava A, Shukla S, Dixit BS, Bannerji R, Ohri D (2006) Variability and genotype?×?cutting interactions for different nutritional components in C. album L. Hortic Sci 33:29-8
  Bocianowski J (2012a) A comparison of two methods to estimate additive-by-additive interaction of QTL effects by a simulation study. J Theor Biol 308:20-4CrossRef PubMed
  Bocianowski J (2012b) Analytical and numerical comparisons of two methods of estimation of additive?×?additive interaction of QTL effects. Sci Agric 69:240-46CrossRef
  Bocianowski J (2012c) The use of weighted multiple linear regression to estimate QTL-by-QTL epistatic effects. Genet Mol Biol 35(4):802-09PubMed Central CrossRef PubMed
  Bocianowski J (2013) Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect. Genet Mol Biol 36:93-00PubMed Central CrossRef PubMed
  Bocianowski J (2014) Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs. Euphytica 196:105-15CrossRef
  Bocianowski J, Krajewski P (2009) Comparison of the genetic additive effect estimators based on phenotypic observations and on molecular marker data. Euphytica 165:113-22CrossRef
  Bocianowski J, Miko?ajczyk K, Bartkowiak-Broda I (2012) Determination of fatty acid composition in seed oil of rapeseed (Brassica napus L.) by mutated alleles of the FAD3 desaturase genes. J Appl Genet 53:27-0PubMed Central CrossRef PubMed
  Bocianowski J, Nowosad K (2015) Mixed linear model approaches in mapping QTLs with epistatic effects by a simulation study. Euphytica. doi:10.-007/?s10681-014-1329-4
  Bocianowski J, Kozak M, Liersch A, Bartkowiak-Broda I (2011) A heuristic method of searching for interesting markers in terms of quantitative traits. Euphytica 181:89-00. doi:10.-007/?s10681-011-0424-z CrossRef
  Bocianowski J, Seidler-?o?ykowska K (2012) The relationship between RAPD markers and quantitative traits of caraway (Carum carvi L.). Ind Crops Prod 36:135-39. doi:10.-016/?j.?indcrop.-011.-8.-19 CrossRef
  Collins NC, Tardieu F, Tuberosa R (2008) Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiol 147:469-86. doi:10.-104/?pp.-08.-18117 PubMed Central CrossRef PubMed
  Cureton AN, Burns MJ, Ford-Lloyd BV, Newbury HJ (2002) Development of simple sequence repeat (SSR) markers for the assessment of gene flow between sea beet (Beta vulgaris ssp. maritima) populations. Mol Ecol Notes 2:402-03CrossRef
  Dadkhah AR, Grrifiths H (2006) The effect of salinity on growth, inorganic ions and dry matter partitioning in sugar beet cultivars. J Agric Sci Technol 8:199-10
  de los Reyes BG, McGrath JM (2003) Cultivar-specific seedling vigor and expression of a putative oxalate oxidase germin-like protein in sugar beet (Beta vulgaris L.). Theor Appl Genet 107:54-1PubMed
  do Nascimento IR, Maluf WR, Figueira AR, Menezes CB, de Resende JTV, Faria MV, Nogueira DW (2009) Marker assisted identification of topspovirus resistant tomato genotypes in segregating progenies. Sci Agric 66:298-03CrossRef
  Dudley JW (1993) Molecular markers in plant improvement: manipulation of genes affecting quantitative traits. Crop Sci 33:660-68CrossRef
  Edmeades GO, Bola?os J, Chapman SC, Laftte HR, B?nziger M (1999) Selection improves drought tolerance in tropical maize populations: I. Gains in biomass, grain yield, harvest index. Crop Sci 39:1306-315. doi:10.-135/?cropsci1999.-951306x CrossRef
  Edwards MD, Stuber CW, Wendel JF (1987) Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action. Genetics 116:113-25PubMed Central PubMed
  Hasthanasombut S, Ntui V, Supaibulwatana K, Mii M, Nakamura I (2010) Expression of Indica rice OsBADH1 gene under salinity stress in transgenic tobacco. Plant Biotechnol Rep 4:75-3CrossRef
  Heuer B, Plaut Z (1989) Photosynthesis and osmotic adjustment of two sugar beet cultivars grown under saline conditions. J Exp Bot 40:437-40CrossRef
  Irzykowska I, Bocianowski J (2008) Genetic variation, pathogenicity and mycelial
• 作者单位：Zahra Abbasi (1)
  Mohammad Mahdi Majidi (1)
  Ahmad Arzani (1)
  Abazar Rajabi (2)
  Parisa Mashayekhi (3)
  Jan Bocianowski (4)
  
  1. Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran
  2. Department of Plant Breeding, Sugar Beet Seed Institute (SBSI), P.O. Box 31585-4114, Karaj, Iran
  3. Department of Soil Research, Isfahan Agriculture and Natural Resources Research Center, Isfahan, Iran
  4. Department of Mathematical and Statistical Methods, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637, Poznań, Poland
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Plant Physiology
  Plant Sciences
  Ecology
  
• 出版者：Springer Netherlands
• ISSN：1573-5060

文摘

The conventional screening methods for salinity tolerance are time-consuming, labor-intensive and have low throughput screening rate. Molecular marker-quantitative trait association can be used to increase the efficiency of a breeding program, especially for salinity tolerance. This study was carried out to find marker-trait association using regression analysis between 13 morpho-physiological traits and 104 simple sequence repeat (SSR) markers (from 18 SSR primer pairs) on a set of 168 genotype from 12 extreme salt tolerant and sensitive crossing parents (14 samples in each parent) during 2011 and 2012. The morpho-physiological traits included Ca2+, Na+ and K+ in leaf, quality related traits in root, root yield, sugar yield and white sugar yield which were field evaluated under saline and non-saline conditions in 2 years. Results of analysis of variance revealed a significant difference between genotypes for most of the studied traits in both environments. High estimates of broad-sense heritability with relatively low genetic advance were observed for ECS and MS (in stress conditions) and for ECS and α-N in root (in non-stress conditions). The result of regression analysis showed that in 2011, five markers [(FDSB1007 (c-284 bp), KWS (a-234 bp), SB06 (c-180 bp), FDSB502 (f-293 bp) and FDSB1027 (a-211 bp)] and in 2012, nine markers [KWS (f-250), KWS (h-266), USD29 (b-153), BQ588629 (f-196), SB07 (c-278), Bmb3 (b-268), SB04 (d-200), SB15 (d-164) and Bvm3 (e-131)] had significant effect on at least one trait in both environments. Two SSR markers (FDSB502 and Bmb3) were significantly associated with the key traits contributed to salinity tolerance such as leaf Na+ and leaf K+ and the highest root quality-related traits suggesting these as the appropriate markers to improve salinity tolerance of sugar beet. The efficiency of such markers in breeding programs for developing sugar beet cultivars with high salinity tolerance requires further investigation. Keywords Genetic variation Association analysis SSR Salt tolerance Quality traits Sugar beet