A novel QTL QTrl.saw-2D.2 associated with the total root length identified by linkage and association analyses in wheat (Triticum aestivum L.)
In wheat, a QTL QTrl.saw-2D.2 associated with the total root length was identified, presumably containing genes closely related to root development.
A mapping population of 184 recombinant inbred lines derived from the cross SY95-71 × CH7034 was used to map QTL for seedling root characteristics in hydroponic culture (HC) and in soil-filled pot (SP) methods. Four traits, including maximum root length (MRL), root number (RN), total length (TRL), and root diameter (RD) were measured and used in QTL analyses. A total of 33 QTL for the four root traits were detected, 17 QTLs for TRL, six for RN, seven for MRL, and three for RD. Seven QTL were detected in both HC and SP methods, which explained 7–18% phenotypic variation. One QTL QTrl.saw-2D.2 detected in both HC and SP methods was also validated in another population comprised of 215 diverse lines. This QTL is a novel QTL that explained the highest phenotypic variation 18% in all QTL identified in the present study. Based on candidate gene and comparative genomics analyses, the QTL QTrl.saw-2D.2 may contain genes closely related to root development in wheat (Triticum aestivum L.). The two candidate genes were proposed to explore in future studies.
KeywordsDrought tolerance coefficient Quantitative trait locus Stay green Total root length Yield components
Drought tolerance coefficient
Kernel number per spike
Maximum root length
Recombinant inbred line
Spikelet number per spike
Pots containing soil
Thousand kernel weight
Total root length
This work was funded by National Key Research and Development Program of China (2017YFD0100600), Agricultural Science and Technology Project (YCX2018413, 17yzgc010), Natural Science Foundation of Shanxi Province (2016011001, 201703D211007). We thank Dr. Robert A McIntosh (University of Sydney) for help with manuscript improvement.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Guan PF, Lu LH, Jia JL, Kabir MR, Zhang JB, Lan TY, Zhao Y, Xin MM, Hu ZR, Yao YY et al (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 9:529CrossRefGoogle Scholar
- He X, Qu BY, Li WJ, Zhao XQ, Teng W, Ma WY, Ren Y, Li B, Li ZS, Tong YP (2015) The nitrate-inducible NAC transcription factor TaNAC2-5A controls nitrate response and increases wheat yield. Plant Physiol 169:1991–2005Google Scholar
- Lander ES, Botstein D (1989) Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199Google Scholar
- Li ZK, Peng T, Zhang WD, Xie QG, Tian JC (2010) Analysis of QTLs for root traits at seedling stage using an “Immortalized F 2″ population of wheat. Acta Agronomica Sinica 36:1764–1778 (in Chinese with English abstract) Google Scholar
- SAS Institute Inc (1999) SAS OnlineDoc®, version 8. SAS Institute Inc, Cary, NCGoogle Scholar
- Van Ooijen JW (2006) JoinMap® 4.0: software for the calculation of genetic linkage maps in experimental population. Kyazma BV, Wageningen, The NetherlandsGoogle Scholar
- Wang FH, Wang XQ, Li SJ, Bian ML, Yu ZW, Yu SL (2001) Studies on the root activities in different layers of soil of high-yielding wheat at the late growth period. Acta Agron Sinica 27:891–895 (In Chinese with English abstract) Google Scholar
- Wang SC, Basten CJ, Zeng ZB (2012) Windows QTL cartographer 2.5. Department of statistics, North Carolina State University, Raleigh, NC, USA. http://statgen.ncsu.edu/qtlcart/WQTLCart.htm. Accessed 1 Aug 2012
- Zhai HJ, Feng ZY, Li J, Liu XY, Xiao SH, Ni ZF, Sun QX (2016) QTL analysis of spike morphological traits and plant height in winter wheat (Triticum aestivum L.) using a high-density SNP and SSR-based linkage map. Front Plant Sci 7:1617Google Scholar
- Zhang ZB, Xu P (2002) Reviewed on wheat genome. Hereditas 24:389–394 (In Chinese with English abstract) Google Scholar
- Zhou SH, Wu QH, Xie JZ, Chen JJ, Chen YX, Fu L, Wang GX, Yu MH, Wang ZZ, Zhang DY et al (2016) Mapping QTLs for wheat seedling traits in RILs population of Yanda 1817 × Beinong 6 under normal and salt-stress conditions. Acta Agronomica Sinica 42:1764–1778 (In Chinese with English abstract) CrossRefGoogle Scholar