QTL Mapping of Seed Glucosinolate Content Responsible for Environment in Brassica napus

Abstract

Glucosinolates (GSLs) are a major class of secondary metabolites. The content of seed GSL is largely regulated by environments in rapeseed (Brassica napus). However, the genetic control of seed GSL content responsible for environment in B. napus has been poorly understood. In the current study, a doubled haploid (DH) population from a cross between winter and semi-winter lines of rapeseed was grown in two distinct eco-environments, Germany and China, to evaluate the eco-environment effect and dissect the quantitative trait loci (QTL) responsible for environment for seed GSL in rapeseed. The deviation value of GSL content between eco-environments (GSLE) was calculated for each line in the DH population and the QTLs for GSLE were detected. GSLE ranged from −46.90 to 36.13 μmol g−1 meal in the DH population, suggesting the prominent eco-environmental effects for seed GSL in rapeseed. Four QTLs for GSLE were identified on chromosomes A04, A06, and A09 explaining 4.70∼9.93% of the phenotypic variation. Comparison of QTLs of seed GSL content between different eco-environments found three QTLs for GSL on A02 from 37.6 to 45.4 cM, A04 from 0 to 17.2 cM, and A09 from 67.0 to 98.6 cM exhibited significant difference of QTL effect between the German and Chinese eco-environments (P < 0.01), indicating the environment sensibility of these loci on seed GSL content. Moreover, flowering time (FT), an important environment adaptation trait in plant, was also investigated in this study. Comparative QTL analysis among GSLE, GSL, and FT revealed that three regions on chromosomes A02, A04, and A09 not only exhibited significant differences in QTL effect between Germany and China, but also co-located with the QTL intervals of GSLE and FT. Our results revealed that most of the GSL loci can influence GSL accumulation under different eco-environments, whereas the three QTL intervals on A02, A04, and A09 might be sensitive to the eco-environments for seed GSL content.

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 traits

“…However, based on data from the present study, it is apparent that the genes from this genomic region might have contributed independently to the biosynthesis of these two seed constituents; competition for the precursor might be one of the reasons for the low additive effect of these oil and protein QTL that we observed in the present study. Quantitative trait loci mapping of seed GSL content in B. napus has also been conducted by several researchers- Basunanda et al (2007), Fu et al (2015, Gajardo et al (2015), He, Fu, Hu, Wei, and Qian (2018), Howell et al (2003), Liu et al (2016a), Qian, Qian, and Snowdon (2014), Rücker and Röbbelen (1994), Schatzki et al (2014), Toroser et al (1995, Uzunova et al (1995), Zhao and Meng (2003)and in B. oleracea by Sotelo, Soengas, Velasco, Rodríguez, and Cartea (2014). These studies detected QTL mostly from the C genome chromosomes, where the QTL from C9 has been reported in multiple studies (Basunanda et al, 2007;Gajardo et al, 2015;Liu et al, 2016a;Qian et al, 2014;Schatzki et al, 2014;Sotelo et al, 2014).…”

Multi-omics-based prediction of hybrid performance in canola

“…Seed yield is a highly polygenic trait heavily influenced by interactions (Marjanović-Jeromela et al 2011 ; Escobar et al 2011 ). Total seed GSL content, although noticeably influenced by environmental factors (He et al 2018 ), is controlled by a relatively small core set of biosynthesis and degradation genes and regulators (Grubb and Abel 2006 ; Halkier and Gershenzon 2006 ; Ishida et al 2014 ). As shown previously (Liu et al 2018b ), the number of predictors also affected prediction accuracy.…”

QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time

“…Quantitative trait loci (QTL) linkage mapping is a classic method widely used in the study of complex quantitative traits in rapeseed, such as silique length and seed weight [ 8 ], branch angle [ 9 ], and seed glucosinolate content [ 10 ]. Some studies on rapeseed flowering time have used QTL linkage mapping.…”