Abstract
Rutabaga (Brassica napus var. napobrassica) carries alleles that can broaden the genetic base of the spring canola. QTL analysis was performed by using a doubled haploid and a pedigree population of rutabaga × spring canola to identify the genomic regions of rutabaga controlling clubroot resistance, vernalization requirement and days-to-flowering and seed oil, protein, erucic acid and glucosinolate contents. Two QTL from chromosomes A8 and A3 were identified for resistance to clubroot disease where rutabaga alleles conferred resistance. A major QTL for vernalization response in rutabaga was mapped on A2 and this genomic region also affected days-to-flowering in spring growth habit plants. An additional QTL for days-to-flowering was detected on C6. A QTL for seed oil content was detected on C3 where rutabaga allele increased 0.7% oil. A protein QTL exerting an opposite effect was also detected in this genomic region, and an erucic acid QTL was detected about 16 cM away from the oil QTL. A major QTL for seed glucosinolate content was detected on A9. Clubroot resistance of rutabaga did not exert any effect on the flowering or seed quality traits.
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References
Abe A, Kosugi S, Yoshida K et al (2012) Genome sequencing reveals agronomically important loci in rice using MutMap. Nat Biotechnol 30:174–178. https://doi.org/10.1038/nbt.2095
Altschul SF, Madden TL, Schäffer AA et al (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25:3389–3402. https://doi.org/10.1093/nar/25.17.3389
Arends D, Prins P, Jansen RC, Broman KW (2010) R/qtl: high-throughput multiple QTL mapping. Bioinformatics 26:2990–2992. https://doi.org/10.1093/bioinformatics/btq565
Arifuzzaman M, Mamidi S, McClean P, Rahman M (2017) QTL mapping for root vigor and days to flowering in Brassica napus L. Can J Plant Sci 97:99–109. https://doi.org/10.1139/CJPS-2016-0048
Ayers GW, Lelacheur KE (1972) Genetics of resistance in rutabaga to two races of Plasmodiophora brassicae. Can J Plant Sci 52:897–900
Bradshaw HD, Otto KG, Frewen BE et al (1998) Quantitative trait loci affecting differences in floral morphology between two species of monkeyflower (Mimulus). Genetics 149:367–382. https://doi.org/10.1093/genetics/149.1.367
Bradshaw HD, Wilbert SM, Otto KG, Schemske DW (1995) Genetic mapping of floral traits associated with reproductive isolation in monkeyflowers (Mimulus). Nature 376:762–765. https://doi.org/10.1038/376762a0
Broman KW, Wu H, Sen Ś, Churchill GA (2003) R/qtl: QTL mapping in experimental crosses. Bioinformatics 19:889–890. https://doi.org/10.1093/bioinformatics/btg112
Burns MJ, Barnes SR, Bowman JG et al (2003) QTL analysis of an intervarietal set of substitution lines in Brassica napus: (I) seed oil content and fatty acid composition. Heredity 90:39–48. https://doi.org/10.1038/sj.hdy.6800176
Bus A, Körber N, Snowdon RJ, Stich B (2011) Patterns of molecular variation in a species-wide germplasm set of Brassica napus. Theor Appl Genet 123:1413–1423. https://doi.org/10.1007/s00122-011-1676-7
Cao Z, Tian F, Wang N et al (2010) Analysis of QTLs for erucic acid and oil content in seeds on A8 chromosome and the linkage drag between the alleles for the two traits in Brassica napus. J Genet Genomics 37:231–240. https://doi.org/10.1016/S1673-8527(09)60041-2
Chalhoub B, Denoeud F, Liu S et al (2014) Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 345:950–953. https://doi.org/10.1126/science.1253435
Chao H, Wang H, Wang X et al (2017) Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus. Sci Rep 7:46295. https://doi.org/10.1038/srep46295
Chen XM, Luo YH, Xia XC et al (2005) Chromosomal location of powdery mildew resistance gene Pm16 in wheat using SSR marker analysis. Plant Breed 124:225–228. https://doi.org/10.1111/j.1439-0523.2005.01094.x
Cheng F, Liu S, Wu J et al (2011) BRAD, the genetics and genomics database for Brassica plants. BMC Plant Biol 11:136. https://doi.org/10.1186/1471-2229-11-136
Chu M, Song T, Falk KC et al (2014) Fine mapping of Rcr1 and analyses of its effect on transcriptome patterns during infection by Plasmodiophora brassicae. BMC Genom 15:1–20. https://doi.org/10.1186/1471-2164-15-1166
Churchill G, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–371
Clarke WE, Higgins EE, Plieske J et al (2016) A high-density SNP genotyping array for Brassica napus and its ancestral diploid species based on optimised selection of single-locus markers in the allotetraploid genome. Theor Appl Genet 129:1887–1899. https://doi.org/10.1007/s00122-016-2746-7
Delourme R, Falentin C, Huteau V et al (2006) Genetic control of oil content in oilseed rape (Brassica napus L.). Theor Appl Genet 113:1331–1345. https://doi.org/10.1007/s00122-006-0386-z
Diers BW, Osborn TC (1994) Genetic diversity of oilseed Brassica napus germ plasm based on restriction fragment length polymorphisms. Theor Appl Genet 88:662–668. https://doi.org/10.1007/BF01253968
Doussinault G, Delibes A, Sanchez-Monge R, Garcia-Olmedo F (1983) Transfer of a dominant gene for resistance to eyespot disease from a wild grass to hexaploid wheat. Nature 303:698–700. https://doi.org/10.1038/303698a0
Ecke W, Uzunova M, Weißleder K (1995) Mapping the genome of rapeseed (Brassica napus L.). II. Localization of genes controlling erucic acid synthesis and seed oil content. Theor Appl Genet 91:972–977. https://doi.org/10.1007/BF00223908
Ewing B, Green P (1998) Base-Calling of automated sequencer traces using phred. II. error probabilities. Genome Res 8:186–194. https://doi.org/10.1101/gr.8.3.186
FAO (2020) FAOstat. http://www.fao.org/faostat/en/#data/QC. Accessed 22 Mar 2020
Ferreira ME, Satagopan J, Yandell BS et al (1995) Mapping loci controlling vernalization requirement and flowering time in Brassica napus. Theor Appl Genet 90:727–732. https://doi.org/10.1007/BF00222140
Fredua-Agyeman R, Yu Z, Hwang S, Strelkov SE (2020) Genome-wide mapping of loci associated with resistance to clubroot in Brassica napus ssp. napobrassica (Rutabaga) accessions from Nordic countries. Front Plant Sci 11:742. https://doi.org/10.3389/fpls.2020.00742
GE_Healthcare (2010) A comparative evaluation of quantitative imaging of DNA and protein using stains and labels
Ghanbari M, Paul M, Möllers C (2020) QTL analysis of shoot elongation before winter in relation to vernalization requirement in the doubled haploid population L16 × Express617 (Brassica napus L.). Euphytica 216:73. https://doi.org/10.1007/s10681-020-02604-y
Graf A, Schlereth A, Stitt M, Smith AM (2010) Circadian control of carbohydrate availability for growth in Arabidopsis plants at night. Proc Natl Acad Sci 107:9458–9463. https://doi.org/10.1073/pnas.0914299107
Groos C, Robert N, Bervas E, Charmet G (2003) Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet 106:1032–1040. https://doi.org/10.1007/s00122-002-1111-1
Habekotté B (1997) Options for increasing seed yield of winter oilseed rape (Brassica napus L.): A simulation study. F Crop Res 54:109–126. https://doi.org/10.1016/S0378-4290(97)00041-5
Hasan M, Strelkov S, Howard R, Rahman H (2012) Screening of Brassica germplasm for resistance to Plasmodiophora brassicae pathotypes prevalent in Canada for broadening diversity in clubroot resistance. Can J Plant Sci 92:501–515. https://doi.org/10.4141/CJPS2010-006
Hasan MJ, Megha S, Rahman H (2021) Clubroot in Brassica: recent advances in genomics, breeding and disease management. Genome gen-2020-0089. https://doi.org/10.1139/gen-2020-0089
Hasan MJ, Rahman H (2016) Genetics and molecular mapping of resistance to Plasmodiophora brassicae pathotypes 2, 3, 5, 6, and 8 in rutabaga (Brassica napus var. napobrassica). Genome 59:805–815. https://doi.org/10.1139/gen-2016-0034
Hatakeyama K, Niwa T, Kato T et al (2017) The tandem repeated organization of NB-LRR genes in the clubroot-resistant CRb locus in Brassica rapa L. Mol Genet Genomics 292:397–405. https://doi.org/10.1007/s00438-016-1281-1
He Y, Fu Y, Hu D et al (2018) QTL mapping of seed glucosinolate content responsible for environment in Brassica napus. Front Plant Sci 9:891. https://doi.org/10.3389/fpls.2018.00891
Henderson IR, Liu F, Drea S et al (2005) An allelic series reveals essential roles for FY in plant development in addition to flowering-time control. Development 132:3597–3607. https://doi.org/10.1242/dev.01924
Hirai M, Harada T, Kubo N et al (2004) A novel locus for clubroot resistance in Brassica rapa and its linkage markers. Theor Appl Genet 108:639–643. https://doi.org/10.1007/s00122-003-1475-x
Horiuchi S, Hori M (1980) A simple greenhouse technique for obtaining high levels of clubroot incidence. Bull Chugoku Natl Agric Exp Stn Ser E (Environ Div) 17:33–35
Huang Z, Peng G, Gossen BD, Yu F (2019) Fine mapping of a clubroot resistance gene from turnip using SNP markers identified from bulked segregant RNA-SEq. Mol Breed 39:131. https://doi.org/10.1007/s11032-019-1038-8
Huang Z, Peng G, Liu X et al (2017) Fine mapping of a clubroot resistance gene in chinese cabbage using SNP markers identified from bulked segregant RNA sequencing. Front Plant Sci 8:1–9. https://doi.org/10.3389/fpls.2017.01448
Javed N, Geng J, Tahir M et al (2016) Identification of QTL influencing seed oil content, fatty acid profile and days to flowering in Brassica napus L. Euphytica 207:191–211. https://doi.org/10.1007/s10681-015-1565-2
Jiang C, Shi J, Li R et al (2014) Quantitative trait loci that control the oil content variation of rapeseed (Brassica napus L.). Theor Appl Genet 127:957–968. https://doi.org/10.1007/s00122-014-2271-5
Johnston T (1970) A new factor for resistance to club root in Brassica napus L. Plant Pathol 19:156–158. https://doi.org/10.1111/j.1365-3059.1970.tb01007.x
Karim MM, Dakouri A, Zhang Y et al (2020) Two clubroot-resistance genes, Rcr3 and Rcr9wa, mapped in Brassica rapa using bulk segregant RNA sequencing. Int J Mol Sci 21:1–15. https://doi.org/10.3390/ijms21145033
Kenney AM, Mckay JK, Richards JH, Juenger TE (2014) Direct and indirect selection on flowering time, water-use efficiency (WUE, δ13C), and WUE plasticity to drought in Arabidopsis thaliana. Ecol Evol 4:4505–4521. https://doi.org/10.1002/ece3.1270
Kittipol V, He Z, Wang L et al (2019) Genetic architecture of glucosinolate variation in Brassica napus. J Plant Physiol 240:152988. https://doi.org/10.1016/j.jplph.2019.06.001
Kjær B, Jensen HP, Jensen J, Jørgensen JH (1990) Associations between three mlo powdery mildew resistance genes and agronomic traits in barley. Euphytica 46:185–193. https://doi.org/10.1007/BF00027217
Kosambi DD (1943) The estimation of map distances from recombination values. Ann Eugen 12:172–175. https://doi.org/10.1111/j.1469-1809.1943.tb02321.x
Laila R, Park JI, Robin AHK et al (2019) Mapping of a novel clubroot resistance QTL using ddRAD-seq in Chinese cabbage (Brassica rapa L.). BMC Plant Biol 19:1–9. https://doi.org/10.1186/s12870-018-1615-8
Lammerink J (1967) The inheritance of clubroot resistance in Brassica napus L. New Zeal J Agric Res 10:109–115. https://doi.org/10.1080/00288233.1967.10423081
Li F, Chen B, Xu K et al (2014) Genome-wide association study dissects the genetic architecture of seed weight and seed quality in rapeseed (Brassica napus L.). DNA Res 21:355–367. https://doi.org/10.1093/dnares/dsu002
Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25:1754–1760. https://doi.org/10.1093/bioinformatics/btp324
Li H, Handsaker B, Wysoker A et al (2009) The Sequence Alignment/Map format and SAMtools. Bioinformatics 25:2078–2079. https://doi.org/10.1093/bioinformatics/btp352
Li H, Ye G, Wang J (2007) A modified algorithm for the improvement of composite interval mapping. Genetics 175:361–374. https://doi.org/10.1534/genetics.106.066811
Li X, Quigg RJ, Zhou J et al (2006) A critical evaluation of the effect of population size and phenotypic measurement on QTL detection and localization using a large F2 murine mapping population. Genet Mol Biol 29:166–173. https://doi.org/10.1007/11760146_15
Liu J, Hirani AH, Li Z et al (2016a) QTL controlling glucosinolate content in seeds of Brassica napus L. Aust J Crop Sci 10:152–160
Liu S, Fan C, Li J et al (2016b) A genome-wide association study reveals novel elite allelic variations in seed oil content of Brassica napus. Theor Appl Genet 129:1203–1215. https://doi.org/10.1007/s00122-016-2697-z
Lu K, Wei L, Li X et al (2019) Whole-genome resequencing reveals Brassica napus origin and genetic loci involved in its improvement. Nat Commun 10:1–12. https://doi.org/10.1038/s41467-019-09134-9
Manichaikul A, Moon JY, Sen Ś et al (2009) A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis. Genetics 181:1077–1086. https://doi.org/10.1534/genetics.108.094565
McCouch SR, Cho Y, Yano M et al (1997) Report on QTL nomenclature. Rice Genet Newsl 14:11–13
McKenna A, Hanna M, Banks E et al (2010) The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20:1297–1303. https://doi.org/10.1101/gr.107524.110
Méndez-Vigo B, Picó FX, Ramiro M et al (2011) Altitudinal and climatic adaptation is mediated by flowering traits and FRI, FLC, and PHYC genes in Arabidopsis. Plant Physiol 157:1942–1955. https://doi.org/10.1104/pp.111.183426
Meng L, Li H, Zhang L, Wang J (2015) QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J 3:269–283. https://doi.org/10.1016/j.cj.2015.01.001
Michelmore RW, Paran I, Kesseli RV (1991) Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations. Proc Natl Acad Sci USA 88:9828–9832. https://doi.org/10.1073/pnas.88.21.9828
Ni Z, Kim E, Ha M et al (2009) Altered circadian rhythms regulate growth vigour in hybrids and allopolyploids. Nature 457:327–331. https://doi.org/10.1038/nature07523
Osborne BG (2000) Near-infrared spectroscopy in food analysis. In: Encyclopedia of analytical chemistry. Wiley, Chichester, pp 1–14
Pandey MK, Khan AW, Singh VK et al (2017) QTL-seq approach identified genomic regions and diagnostic markers for rust and late leaf spot resistance in groundnut (Arachis hypogaea L.). Plant Biotechnol J 15:927–941. https://doi.org/10.1111/pbi.12686
Pang W, Fu P, Li X et al (2018) Identification and mapping of the clubroot resistance gene CRd in Chinese Cabbage (Brassica rapa ssp. pekinensis). Front Plant Sci 9:1–9. https://doi.org/10.3389/fpls.2018.00653
Qiu D, Morgan C, Shi J et al (2006) A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content. Theor Appl Genet 114:67–80. https://doi.org/10.1007/s00122-006-0411-2
R Core Team (2013) R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org/
Rahman H (2017) UA AlfaGold Clearfield herbicide-tolerant spring Brassica napus canola developed from winter × spring canola cross. Can J Plant Sci 97:144–146. https://doi.org/10.1139/CJPS-2016-0028
Rahman H, Franke C (2019) Association of fusarium wilt susceptibility with clubroot resistance derived from winter Brassica napus L. ‘Mendel’. Can J Plant Pathol 41:60–64. https://doi.org/10.1080/07060661.2018.1505780
Rahman H, Kebede B (2021) Mapping of seed quality traits in the C genome of Brassica napus by using a population carrying genome content of B. oleracea and their effect on other triats. Plant Genome. https://doi.org/10.1002/tpg2.20078
Rahman H, Kebede B, Zimmerli C, Yang R-C (2014a) Genetic study and QTL mapping of seed glucosinolate content in Brassica rapa L. Crop Sci 54:537–543. https://doi.org/10.2135/cropsci2013.06.0391
Rahman H, Peng G, Yu F, et al (2014b) Genetics and breeding for clubroot resistance in Canadian spring canola (Brassica napus L.). Can J Plant Pathol 36(1):122–134. https://doi.org/10.1080/07060661.2013.86257110
Raman H, Raman R, Eckermann P et al (2013) Genetic and physical mapping of flowering time loci in canola (Brassica napus L.). Theor Appl Genet 126:119–132. https://doi.org/10.1007/s00122-012-1966-8
Rahman H, Peng G, Yu F, Falk KC, Kulkarni M, Selvaraj G (2014) Can J Plant Pathol 36(sup1):122–134. https://doi.org/10.1080/07060661.2013.862571
Saito M, Kubo N, Matsumoto S et al (2006) Fine mapping of the clubroot resistance gene, Crr3, in Brassica rapa. Theor Appl Genet 114:81–91. https://doi.org/10.1007/s00122-006-0412-1
Sakamoto K, Saito A, Hayashida N et al (2008) Mapping of isolate-specific QTLs for clubroot resistance in Chinese cabbage (Brassica rapa L. ssp. pekinensis). Theor Appl Genet 117:759–767. https://doi.org/10.1007/s00122-008-0817-0
Schatzki J, Ecke W, Becker HC, Möllers C (2014) Mapping of QTL for the seed storage proteins cruciferin and napin in a winter oilseed rape doubled haploid population and their inheritance in relation to other seed traits. Theor Appl Genet 127:1213–1222. https://doi.org/10.1007/s00122-014-2292-0
Shaikh R, Farid M, Rahman H (2020) Inheritance of resistance to the newly identified Plasmodiophora brassicae pathotypes in Brassica napus L. Can J Plant Pathol. https://doi.org/10.1080/07060661.2020.1823483
Shiranifar B, Hobson N, Kebede B et al (2021) Potential of rutabaga (Brassica napus var. napobrassica) gene pool for use in the breeding of hybrid spring Brassica napus canola. Plant Breed 140:305–319. https://doi.org/10.1111/pbr.12895
Shiranifar B, Hobson N, Kebede B et al (2020) Potential of rutabaga (Brassica napus var. napobrassica) gene pool for use in the breeding of B. napus canola. Crop Sci 60:157–171. https://doi.org/10.1002/csc2.20074
Spaner D (2002) Agronomic and horticultural characters of rutabaga in eastern Canada. Can J Plant Sci 82:221–224. https://doi.org/10.4141/P01-086
Strelkov SE, Hwang SF, Manolii VP et al (2018) Virulence and pathotype classification of Plasmodiophora brassicae populations collected from clubroot resistant canola (Brassica napus) in Canada. Can J Plant Pathol 40:284–298. https://doi.org/10.1080/07060661.2018.1459851
Stringam GR, Degenhardt DF, Thiagarajah MR, Bansal VK (2000) Hi-Q summer rape. Can J Plant Sci 80:835–836. https://doi.org/10.4141/P00-044
Summers RW, Brown JKM (2013) Constraints on breeding for disease resistance in commercially competitive wheat cultivars. Plant Pathol 62:115–121. https://doi.org/10.1111/ppa.12165
Sung S, Amasino RM (2004) Vernalization in Arabidopsis thaliana is mediated by the PHD finger protein VIN3. Nature 427:159–164. https://doi.org/10.1038/nature02195
Suwabe K, Tsukazaki H, Iketani H et al (2003) Identification of two loci for resistance to clubroot (Plasmodiophora brassicae Woronin) in Brassica rapa L. Theor Appl Genet 107:997–1002. https://doi.org/10.1007/s00122-003-1309-x
Suzuki T, Sato M, Takeuchi T (2012) Evaluation of the effects of five QTL regions on Fusarium head blight resistance and agronomic traits in spring wheat (Triticum aestivum L.). Breed Sci 62:11–17. https://doi.org/10.1270/jsbbs.62.11
Takagi H, Abe A, Yoshida K et al (2013) QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. Plant J 74:174–183. https://doi.org/10.1111/tpj.12105
Tang M, Zhang Y, Liu Y et al (2019) Mapping loci controlling fatty acid profiles, oil and protein content by genome-wide association study in Brassica napus. Crop J 7:217–226. https://doi.org/10.1016/j.cj.2018.10.007
Trick M, Long Y, Meng J, Bancroft I (2009) Single nucleotide polymorphism (SNP) discovery in the polyploid Brassica napus using Solexa transcriptome sequencing. Plant Biotechnol J 7:334–346. https://doi.org/10.1111/j.1467-7652.2008.00396.x
Tudor EH, Jones DM, He Z et al (2020) QTL-seq identifies BnaFT.A02 and BnaFLC.A02 as candidates for variation in vernalization requirement and response in winter oilseed rape (Brassica napus). Plant Biotechnol J 18:2466–2481. https://doi.org/10.1111/pbi.13421
USDA (2019) Rutabagas, raw. In: FoodData Cent. https://fdc.nal.usda.gov/fdc-app.html#/food-details/168454/nutrients. Accessed 22 Mar 2020
Vales MI, Schön CC, Capettini F et al (2005) Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust. Theor Appl Genet 111:1260–1270. https://doi.org/10.1007/s00122-005-0043-y
Van Ooijen J (2006) JoinMap4, Software for the calculation of genetic linkage maps in experimental populations. Kyazma, BV, Wageningen
Voorrips RE (2002) MapChart: Software for the graphical presentation of linkage maps and QTLs. J Hered 93:77–78. https://doi.org/10.1093/jhered/93.1.77
Wei D, Mei J, Fu Y et al (2014) Quantitative trait loci analyses for resistance to Sclerotinia sclerotiorum and flowering time in Brassica napus. Mol Breed 34:1797–1804. https://doi.org/10.1007/s11032-014-0139-7
Williams P (1966) A system for the determination of races of Plasmodiophora brassicae that infect cabbage and rutabaga. Phytopathology 6:624–626
Wu J, Chen P, Zhao Q et al (2019) Co-location of QTL for Sclerotinia stem rot resistance and flowering time in Brassica napus. Crop J 7:227–237. https://doi.org/10.1016/j.cj.2018.12.007
You FM, Huo N, Gu Y et al (2008) BatchPrimer3: a high throughput web application for PCR and sequencing primer design. BMC Bioinform 9:253. https://doi.org/10.1186/1471-2105-9-253
Yu F, Zhang X, Peng G et al (2017) Genotyping-by-sequencing reveals three QTL for clubroot resistance to six pathotypes of Plasmodiophora brassicae in Brassica rapa. Sci Rep 7:1–11. https://doi.org/10.1038/s41598-017-04903-2
Yu K, Wang X, Li W et al (2019) Identification and physical mapping of QTLs associated with flowering time in Brassica napus L. Euphytica 215:1–16. https://doi.org/10.1007/s10681-019-2480-8
Yu Z (2019) Characterization of rutabaga for genetic diversity and as a source of clubroot resistance. MSc Thesis, Department of Agricultural Food and Nutritional Science, University of Alberta
Yuan Y, Wei X, Zhang Q et al (2015) BSA-Seq technologies identify a major QTL for clubroot resistance in Chinese cabbage (Brassica rapa ssp. pekinensis). In: KSM Spring Meeting & KSM-ICWG-GSP Joint Clubroot Symposium. p 41
Zhao J, Dimov Z, Becker HC et al (2008) Mapping QTL controlling fatty acid composition in a doubled haploid rapeseed population segregating for oil content. Mol Breed 21:115–125. https://doi.org/10.1007/s11032-007-9113-y
Zhao J, Huang J, Chen F et al (2012) Molecular mapping of Arabidopsis thaliana lipid-related orthologous genes in Brassica napus. Theor Appl Genet 124:407–421. https://doi.org/10.1007/s00122-011-1716-3
Zhao J, Kulkarni V, Liu N et al (2010) BrFLC2 (FLOWERING LOCUS C) as a candidate gene for a vernalization response QTL in Brassica rapa. J Exp Bot 61:1817–1825. https://doi.org/10.1093/jxb/erq048
Zhao J, Udall JA, Quijada PA et al (2006) Quantitative trait loci for resistance to Sclerotinia sclerotiorum and its association with a homeologous non-reciprocal transposition in Brassica napus L. Theor Appl Genet 112:509–516. https://doi.org/10.1007/s00122-005-0154-5
Zhu H, Zhai W, Li X, Zhu Y (2019) Two QTLs controlling Clubroot resistance identified from Bulked Segregant Sequencing in Pakchoi (Brassica campestris ssp. chinensis Makino). Sci Rep 9:1–9. https://doi.org/10.1038/s41598-019-44724-z
Acknowledgements
Authors are grateful to the Alberta Crop Industry Development Fund (ACIDF), Alberta Canola Producers Commission (ACPC), Alberta Innovates, Alberta Agriculture & Forestry, Agriculture and Agri-Food Canada (AAFC), and Natural Sciences and Engineering Research Council of Canada (NSERC) for financial support to the research on clubroot resistance being conducted in the Canola Program of the University of Alberta under supervision of HR. The authors are also grateful to Drs. Graham Plastow, Rong-Cai Yang and Neil Hobson for advice/assistance on the analysis of Brassica 60 K Illumina Infinium SNP genotyping data, and Dr. Urmila Basu for assistance on WGRS, which was carried out by Novogene. The authors also thank the personnel from the Canola Program for assistance in various routine works.
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HR conceived the original research and supervised the experiments. JH carried out the experiments, collected the data, performed analysis, design the figures and wrote the first draft of the manuscript. RS carried out WGRS analysis, designed SNP-based AS-PCR and KASP markers and generated genotypic data of these markers. SM contributed to the design and genotyping by the AS-PCR markers. RS and SM also contributed to writing the “Materials and methods” section. DTH carried out SNP genotyping of the DH population. BK contributed to data collection and QTL analysis. HR provided critical feedback and helped to shape the research, data analysis and the manuscript. All authors reviewed the final version of the manuscript and approved it for submission.
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Hasan, J., Shaikh, R., Megha, S. et al. Mapping of flowering time, seed quality and clubroot resistance in rutabaga × spring canola populations and their association. Euphytica 217, 160 (2021). https://doi.org/10.1007/s10681-021-02889-7
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DOI: https://doi.org/10.1007/s10681-021-02889-7