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Euphytica

, 215:104 | Cite as

Quantitative trait locus mapping for panicle exsertion length in common wheat using two related recombinant inbred line populations

  • Yang Tao
  • Xin Yi
  • Yu Lin
  • Zhiqiang Wang
  • Fangkun Wu
  • Xiaojun Jiang
  • Shihang Liu
  • Mei Deng
  • Jian Ma
  • Guangdeng Chen
  • Yuming Wei
  • Youliang Zheng
  • Yaxi LiuEmail author
Original Article
  • 107 Downloads

Abstract

The improvement of panicle exsertion length (PEL) in wheat (Triticum aestivum L.) breeding programs is an emerging objective to improve yield potential, and serves as a complement to the wheat ideotype. In this study we aimed to advance the current understanding of genetic mechanisms underlying panicle exsertion in wheat. Two related recombinant inbred line populations sharing common parent H461 were used to identify and compare quantitative trait loci (QTL) controlling PEL. Using two high-density genetic linkage maps, 13 putative QTL for PEL were detected on chromosomes 1B, 1D, 2B, 2D, 4A, 4B, 5B, 6D, 7A, and 7B; each QTL explained 5.7–15.6% of the phenotypic variation. Among these 13 QTL, nine were independent; the other two pairs derived from H461 were validated to be common QTL based on newly developed high-resolution melt markers. Further, plant height (PH) was measured to perform covariance QTL analysis with eight major QTL; three of them derived from the wheat variety CM107 were not affected by PH. Pleiotropic effects on yield-related traits (PH, spike length, spikelet number per spike, spikelet density, kernel number per spike, kernel length, and thousand kernel weight) of the eight major QTL were also evaluated. These eight QTL may be valuable for fine mapping and marker-assisted selection in wheat breeding programs.

Keywords

Panicle exsertion length Plant height QTL Triticum aestivum Yield-related trait 

Abbreviations

PEL

Panicle exsertion length

PH

Plant height

SL

Spike length

SPN

Spikelet number per spike

SD

Spikelet density

KN

Kernel number per spike

KL

Kernel length

TKW

Thousand kernel weight

HN-RIL

Recombinant inbred line population derived from the cross between H461 and CN16

HM-RIL

Recombinant inbred line population derived from the cross between H461 and CM107

Notes

Authors’ contributions

YT contributed to data analysis and drafted the manuscript. XY, YL and ZQW contributed to QTL analysis. FKW, XJJ, SHL, and MD performed the phenotypic evaluation and helped with data analysis. JM and GDC helped draft the manuscript. YMW participated in study design. YLZ coordinated the study and helped draft the manuscript. YXL designed and coordinated this study and revised the manuscript. All authors have read and approved the final manuscript.

Funding

This study was funded by the National Natural Science Foundation of China (31771794), the outstanding Youth Foundation of the Department of Science and Technology of Sichuan Province (2016JQ0040), the Key Technology Research and Development Program of the Department of Science and Technology of Sichuan Province (2016NZ0057), and the International Science & Technology Cooperation Program of the Bureau of Science and Technology of Chengdu China (No. 2015DFA306002015-GH03-00008-HZ).

Compliance with ethical standards

Ethical approval

The experiments comply with the ethical standards in the country in which they were performed.

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

10681_2019_2433_MOESM1_ESM.docx (477 kb)
Supplementary material 1 (DOCX 477 kb)
10681_2019_2433_MOESM2_ESM.docx (53 kb)
Supplementary material 2 (DOCX 52 kb)

References

  1. Berry PM, Sylvester-Bradley R, Berry S (2007) Ideotype design for lodging-resistant wheat. Euphytica 154:165–179.  https://doi.org/10.1007/s10681-006-9284-3 CrossRefGoogle Scholar
  2. Boden SA, Cavanagh C, Cullis BR, Ramm K, Greenwood J, Jean Finnegan E, Trevaskis B, Swain SM (2015) Ppd-1 is a key regulator of inflorescence architecture and paired spikelet development in wheat. Nat Plants 1:14016.  https://doi.org/10.1038/nplants.2014.16 CrossRefPubMedGoogle Scholar
  3. Börner A, Worland AJ, Plaschke J, Schumann E, Law CN (1993) Pleiotropic effects of genes for reduced height (Rht) and day-length insensitivity (Ppd) on yield and its components for wheat grown in middle europe. Plant Breed 111:204–216.  https://doi.org/10.1111/j.1439-0523.1993.tb00631.x CrossRefGoogle Scholar
  4. Börner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder M, Weber W (2002) Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet 105:921–936.  https://doi.org/10.1007/s00122-002-0994-1 CrossRefPubMedGoogle Scholar
  5. Cabral AL, Jordan MC, Larson G, Somers DJ, Humphreys DG, McCartney CA (2018) Relationship between QTL for grain shape, grain weight, test weight, milling yield, and plant height in the spring wheat cross RL4452/‘AC Domain’. PLoS ONE 13:e0190681.  https://doi.org/10.1371/journal.pone.0190681 CrossRefPubMedPubMedCentralGoogle Scholar
  6. Chai L, Chen Z, Bian R, Zhai H, Cheng X, Peng H, Yao Y, Hu Z, Xin M, Guo W, Sun Q, Zhao A, Ni Z (2018) Dissection of two quantitative trait loci with pleiotropic effects on plant height and spike length linked in coupling phase on the short arm of chromosome 2D of common wheat (Triticum aestivum L.). Theor Appl Genet 131:2621–2637.  https://doi.org/10.1007/s00122-018-3177-4 CrossRefPubMedGoogle Scholar
  7. Chaves MS, Martinelli JA, Wesp-Guterres C, Graichen FAS, Brammer SP, Scagliusi SM, da Silva PR, Wiethölter P, Torres GAM, Lau EY, Consoli L, Chaves ALS (2013) The importance for food security of maintaining rust resistance in wheat. Food Secur 5:157–176.  https://doi.org/10.1007/s12571-013-0248-x CrossRefGoogle Scholar
  8. Chen H, Jiang S, Zheng J, Lin Y (2012) Improving panicle exsertion of rice cytoplasmic male sterile line by combination of artificial microRNA and artificial target mimic. Plant Biotechnol J 11:336–343.  https://doi.org/10.1111/pbi.12019 CrossRefPubMedGoogle Scholar
  9. Crowell S, Korniliev P, Falcão A, Ismail A, Gregorio G, Mezey J, McCouch S (2016) Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters. Nat Commun 7:10527.  https://doi.org/10.1038/ncomms10527 CrossRefPubMedPubMedCentralGoogle Scholar
  10. Cui F, Li J, Ding A, Zhao C, Wang L, Wang X, Li S, Bao Y, Li X, Feng D, Kong L, Wang H (2011) Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet 122:1517–1536.  https://doi.org/10.1007/s00122-011-1551-6 CrossRefPubMedGoogle Scholar
  11. Dang X, Fang B, Chen X, Li D, Sowadan O, Dong Z, Liu E, She D, Wu G, Liang Y, Hong D (2017) Favorable marker alleles for panicle exsertion length in rice (Oryza sativa L.) mined by association mapping and the RSTEP-LRT method. Front Plant Sci 8:2112.  https://doi.org/10.3389/fpls.2017.02112 CrossRefPubMedPubMedCentralGoogle Scholar
  12. Donald CM (1968) The breeding of crop ideotypes. Euphytica 17:385–403.  https://doi.org/10.1007/BF00056241 CrossRefGoogle Scholar
  13. Donald CM, Hamblin J (1983) The convergent evolution of annual seed crops in agriculture. Adv Agron 36:97–143.  https://doi.org/10.1016/S0065-2113(08)60353-3 CrossRefGoogle Scholar
  14. Ellis M, Spielmeyer W, Gale K, Rebetzke G, Richards R (2002) “Perfect” markers for the Rht-B1b and Rht-D1b dwarfing genes in wheat. Theor Appl Genet 105:1038–1042.  https://doi.org/10.1007/s00122-002-1048-4 CrossRefPubMedGoogle Scholar
  15. Ellis MH, Rebetzke GJ, Chandler P, Bonnett D, Spielmeyer W, Richards RA (2004) The effect of different height reducing genes on the early growth of wheat. Funct Plant Biol 31:583–589.  https://doi.org/10.1071/FP03207 CrossRefGoogle Scholar
  16. Fan X, Cui F, Zhao C, Zhang W, Yang L, Zhao X, Han J, Su Q, Ji J, Zhao Z, Tong Y, Li J (2015) QTLs for flag leaf size and their influence on yield-related traits in wheat (Triticum aestivum L.). Mol Breeding 35:24.  https://doi.org/10.1007/s11032-015-0205-9 CrossRefGoogle Scholar
  17. Gao S, Fang J, Xu F, Wang W, Chu C (2016a) Rice HOX12 regulates panicle exsertion by directly modulating the expression of ELONGATED UPPERMOST INTERNODE1. Plant Cell 28:680–695.  https://doi.org/10.1105/tpc.15.01021 CrossRefPubMedPubMedCentralGoogle Scholar
  18. Gao S, Mo H, Shi H, Wang Z, Lin Y, Wu F, Deng M, Liu Y, Wei Y, Zheng Y (2016b) Construction of wheat genetic map and QTL analysis of main agronomic traits using SNP genotyping chips technology. Chin J Appl Environ Biol 22:85–94.  https://doi.org/10.3724/SP.J.1145.2015.07018 CrossRefGoogle Scholar
  19. Guan P, Lu L, Jia L, Kabir MR, Zhang J, Lan T, Zhao Y, Xin M, Hu Z, Yao Y, Ni Z, Sun Q, Peng H (2018) Global QTL analysis identifies genomic regions on chromosomes 4A and 4B harboring stable loci for yield-related traits across different environments in wheat (Triticum aestivum L.). Front Plant Sci 9:529.  https://doi.org/10.3389/fpls.2018.00529 CrossRefPubMedPubMedCentralGoogle Scholar
  20. Guo Z, Liu G, Roder MS, Reif JC, Ganal MW, Schnurbusch T (2018a) Genome-wide association analyses of plant growth traits during the stem elongation phase in wheat. Plant Biotechnol J 16:2042–2052.  https://doi.org/10.1111/pbi.12937 CrossRefPubMedPubMedCentralGoogle Scholar
  21. Guo Z, Zhao Y, Roder MS, Reif JC, Ganal MW, Chen D, Schnurbusch T (2018b) Manipulation and prediction of spike morphology traits for the improvement of grain yield in wheat. Sci Rep 8:14435.  https://doi.org/10.1038/s41598-018-31977-3 CrossRefPubMedPubMedCentralGoogle Scholar
  22. Hittalmani S, Shashidhar HE, Bagali PG, Huang N, Sidhu JS, Singh VP, Khush GS (2002) Molecular mapping of quantitative trait loci for plant growth, yield and yield related traits across three diverse locations in a doubled haploid rice population. Euphytica 125:207–214.  https://doi.org/10.1023/A:1015890125247 CrossRefGoogle Scholar
  23. Hoogendoorn J, Rickson JM, Gale MD (1990) Differences in leaf and stem anatomy related to plant height of tall and dwarf wheat (Triticum aestivum L.). J Plant Physiol 136:72–77.  https://doi.org/10.1016/S0176-1617(11)81618-4 CrossRefGoogle Scholar
  24. Hu X, Ren J, Ren X, Huang S, Sabiel SAI, Luo M, Nevo E, Fu C, Peng J, Sun D (2015) Association of agronomic traits with SNP markers in durum wheat (Triticum turgidum L. durum (Desf.)). PLoS ONE 10:e0130854.  https://doi.org/10.1371/journal.pone.0130854 CrossRefPubMedPubMedCentralGoogle Scholar
  25. Huang XQ, Cöster H, Ganal MW, Röder MS (2003) Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet 106:1379–1389.  https://doi.org/10.1007/s00122-002-1179-7 CrossRefPubMedGoogle Scholar
  26. Ji Y, Miao M, Chen X (2006) Progresses on the molecular genetics of dwarf character in plants. Mol Plant Breed 4:753–771Google Scholar
  27. Lander ES, Botstein D (1989) Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185PubMedPubMedCentralGoogle Scholar
  28. Law CN, Snape JW, Worland AJ (1978) The genetical relationship between height and yield in wheat. Heredity 40:133.  https://doi.org/10.1038/hdy.1978.13 CrossRefGoogle Scholar
  29. Li H, Zhou M, Liu C (2009) A major QTL conferring crown rot resistance in barley and its association with plant height. Theor Appl Genet 118:903–910.  https://doi.org/10.1007/s00122-008-0948-3 CrossRefPubMedGoogle Scholar
  30. Liang Y, Gao Q, Xue X (2012) Gray relational grade analysis of main agronomic traits and harvest index of wheat. J Henan Agric Sci 41:34–36Google Scholar
  31. Liang Y, Gao Q, Xue X (2013) Grey correlation analysis of harvest index and agronomic traits in wheat. J Biomath 28:335–360Google Scholar
  32. Liu R, Meng J (2003) MapDraw: a microsoft excel macro for drawing genetic linkage maps based on given genetic linkage data. Hereditas 25:317–321PubMedGoogle Scholar
  33. Liu Y, Tao Y, Wang Z, Guo Q, Wu F, Yang X, Deng M, Ma J, Chen G, Wei Y, Zheng Y (2017) Identification of QTL for flag leaf length in common wheat and their pleiotropic effects. Mol Breed 38:11.  https://doi.org/10.1007/s11032-017-0766-x CrossRefGoogle Scholar
  34. Liu K, Xu H, Liu G, Guan P, Zhou X, Peng H, Yao Y, Ni Z, Sun Q, Du J (2018) QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.). Theor Appl Genet 131:839–849.  https://doi.org/10.1007/s00122-017-3040-z CrossRefPubMedPubMedCentralGoogle Scholar
  35. Lu D (1997) Effects of wheat plant traits on humidity between spike layer. J Triticeae Crops 17:54–55Google Scholar
  36. Luo A, Qian Q, Yin H, Liu X, Yin C, Lan Y, Tang J, Tang Z, Cao S, Wang X, Xia K, Fu X, Luo D, Chu C (2006) EUI1, encoding a putative cytochrome P450 monooxygenase, regulates internode elongation by modulating gibberellin responses in rice. Plant Cell Physiol 47:181–191.  https://doi.org/10.1093/pcp/pci233 CrossRefPubMedGoogle Scholar
  37. Luo W, Ma J, Zhou X, Sun M, Kong X, Wei Y, Jiang Y, Qi P, Jiang Q, Liu Y, Peng Y, Chen G, Zheng Y, Liu C, Lan X (2016) Identification of quantitative trait loci controlling agronomic traits indicates breeding potential of Tibetan semiwild wheat (Triticum aestivum ssp. tibetanum). Crop Sci 56:2410–2420.  https://doi.org/10.2135/cropsci2015.11.0700 CrossRefGoogle Scholar
  38. Ma J, Sun M, Ding P, Luo W, Zhou X, Yang C, Zhang H, Qin N, Yang Y, Lan X (2017) Genetic indentificantion of QTL for neck length of spike in wheat. J Triticeae Crops 37:319–324Google Scholar
  39. Ma J, Sun M, Yang C, Qin N, Zhang H, Ding P, Yang M, Tang H, Lan X (2018) Development and validation of markers for spike density QTL, Qsd.sau-7A from Tibetan semi-wild wheat (Triticum aestivum ssp. tibetanum). Indian J Genet Plant Breed 78:11–18.  https://doi.org/10.5958/0975-6906.2018.00002.0 CrossRefGoogle Scholar
  40. Nishida H, Yoshida T, Kawakami K, Fujita M, Long B, Akashi Y, Laurie DA, Kato K (2013) Structural variation in the 5′ upstream region of photoperiod-insensitive alleles Ppd-A1a and Ppd-B1a identified in hexaploid wheat (Triticum aestivum L.), and their effect on heading time. Mol Breed 31:27–37.  https://doi.org/10.1007/s11032-012-9765-0 CrossRefGoogle Scholar
  41. Rebetzke GJ, Ellis MH, Bonnett DG, Condon AG, Falk D, Richards RA (2011) The Rht13 dwarfing gene reduces peduncle length and plant height to increase grain number and yield of wheat. Field Crop Res 124:323–331.  https://doi.org/10.1016/j.fcr.2011.06.022 CrossRefGoogle Scholar
  42. Reynolds MP, Acevedo E, Sayre KD, Fischer RA (1994) Yield potential in modern wheat varieties: its association with a less competitive ideotype. Field Crop Res 37:149–160.  https://doi.org/10.1016/0378-4290(94)90094-9 CrossRefGoogle Scholar
  43. Rutger JN, Carnahan HL (1981) A fourth genetic element to facilitate hybrid cereal production—a recessive tall in rice. Crop Sci 21:373–376.  https://doi.org/10.2135/cropsci1981.0011183X002100030005x CrossRefGoogle Scholar
  44. Sanchez-Bragado R, Molero G, Reynolds MP, Araus JL (2016) Photosynthetic contribution of the ear to grain filling in wheat: a comparison of different methodologies for evaluation. J Exp Bot 67:2787–2798.  https://doi.org/10.1093/jxb/erw116 CrossRefPubMedPubMedCentralGoogle Scholar
  45. Semenov MA, Stratonovitch P (2013) Designing high-yielding wheat ideotypes for a changing climate. Food Energy Secur 2:185–196.  https://doi.org/10.1002/fes3.34 CrossRefGoogle Scholar
  46. Siddique KHM, Kirby EJM, Perry MW (1989) Ear: stem ratio in old and modern wheat varieties; relationship with improvement in number of grains per ear and yield. Field Crops Res 21:59–78.  https://doi.org/10.1016/0378-4290(89)90041-5 CrossRefGoogle Scholar
  47. Snape JW, Law CN, Worland AJ (1977) Whole chromosome analysis of height in wheat. Heredity 38:25.  https://doi.org/10.1038/hdy.1977.4 CrossRefGoogle Scholar
  48. Van Ooijen JW (2006) JoinMap 4.0, software for the calculation of genetic linkage maps in experimental populations. Kyazma BV, WageningenGoogle Scholar
  49. Van Ooijen JW (2009) MapQTL version 6.0, software for the mapping of quantitative trait loci in experimental populations. Kyazma BV, WageningenGoogle Scholar
  50. Wang P, He J, Li W, Wang G, Wei L (2014) Gray relational grade analysis of agronomic traits of different spring wheat varieties and harvest index. Chin Seed Ind 12:58–60Google Scholar
  51. Wang Z, Liu Y, Shi H, Mo H, Wu F, Lin Y, Gao S, Wang J, Wei Y, Liu C, Zheng Y (2016) Identification and validation of novel low-tiller number QTL in common wheat. Theor Appl Genet 129:603–612.  https://doi.org/10.1007/s00122-015-2652-4 CrossRefPubMedGoogle Scholar
  52. Wilhelm EP, Howells RM, Al-Kaff N, Jia J, Baker C, Leverington-Waite MA, Griffiths S, Greenland AJ, Boulton MI, Powell W (2013) Genetic characterization and mapping of the Rht-1 homoeologs and flanking sequences in wheat. Theor Appl Genet 126:1321–1336.  https://doi.org/10.1007/s00122-013-2055-3 CrossRefPubMedGoogle Scholar
  53. Wu J, Kong X, Wan J, Liu X, Zhang X, Guo X, Zhou R, Zhao G, Jing R, Fu X, Jia J (2011) Dominant and pleiotropic effects of a GAI gene in wheat results from a lack of interaction between DELLA and GID1. Plant Physiol 157:2120.  https://doi.org/10.1104/pp.111.185272 CrossRefPubMedPubMedCentralGoogle Scholar
  54. Yang FP, Zhang XK, Xia XC, Laurie DA, Yang WX, He ZH (2009) Distribution of the photoperiod insensitive Ppd-D1a allele in Chinese wheat cultivars. Euphytica 165:445–452.  https://doi.org/10.1007/s10681-008-9745-y CrossRefGoogle Scholar
  55. Yang X, Liu Y, Wu F, Jiang X, Lin Y, Wang Z, Zhang Z, Ma J, Chen G, Wei Y, Zheng Y (2018) Quantitative trait loci analysis of root traits under phosphorus deficiency at the seedling stage in wheat. Genome 61:209–215.  https://doi.org/10.1139/gen-2017-0159 CrossRefPubMedGoogle Scholar
  56. Yin C, Gan L, Ng D, Zhou X, Xia K (2007) Decreased panicle-derived indole-3-acetic acid reduces gibberellin A1 level in the uppermost internode, causing panicle enclosure in male sterile rice Zhenshan 97A. J Exp Bot 58:2441–2449.  https://doi.org/10.1093/jxb/erm077 CrossRefPubMedGoogle Scholar
  57. Youssefian S, Kirby EJM, Gale MD (1992) Pleiotropic effects of the GA-insensitive Rht dwarfing genes in wheat. 2. Effects on leaf, stem, ear and floret growth. Field Crop Res 28:191–210.  https://doi.org/10.1016/0378-4290(92)90040-G CrossRefGoogle Scholar
  58. Yu M, Mao S, Chen G, Pu Z, Wei Y, Zheng Y (2014) QTLs for uppermost internode and spike length in two wheat RIL populations and their affect upon plant height at an individual QTL level. Euphytica 200:95–108.  https://doi.org/10.1007/s10681-014-1156-7 CrossRefGoogle Scholar
  59. Zhao C, Fan X, Wang W, Zhang W, Han J, Chen M, Ji J, Cui F, Li J (2015) Genetic composition and its transmissibility analysis of wheat candidate backbone parent Kenong9204. Acta Agron Sin 41:574–584CrossRefGoogle Scholar
  60. Zhou Y, Conway B, Miller D, Marshall D, Cooper A, Murphy P, Chao S, Brown-Guedira G, Costa J (2017) Quantitative trait loci mapping for spike characteristics in hexaploid wheat. Plant Genome.  https://doi.org/10.3835/plantgenome2016.10.0101 CrossRefPubMedGoogle Scholar

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Triticeae Research InstituteSichuan Agricultural UniversityWenjiangChina
  2. 2.College of Environmental SciencesSichuan Agricultural UniversityWenjiangChina

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