BackgroundPlant architecture attributes, such as plant height, ear height, and internode number, have played an important role in the historical increases in grain yield, lodging resistance, and biomass in maize (Zea mays L.). Analyzing the genetic basis of variation in plant architecture using high density QTL mapping will be of benefit for the breeding of maize for many traits. However, the low density of molecular markers in existing genetic maps has limited the efficiency and accuracy of QTL mapping. Genotyping by sequencing (GBS) is an improved strategy for addressing a complex genome via next-generation sequencing technology. GBS has been a powerful tool for SNP discovery and high-density genetic map construction. The creation of ultra-high density genetic maps using large populations of advanced recombinant inbred lines (RILs) is an efficient way to identify QTL for complex agronomic traits.ResultsA set of 314 RILs derived from inbreds Ye478 and Qi319 were generated and subjected to GBS. A total of 137,699,000 reads with an average of 357,376 reads per individual RIL were generated, which is equivalent to approximately 0.07-fold coverage of the maize B73 RefGen_V3 genome for each individual RIL. A high-density genetic map was constructed using 4183 bin markers (100-Kb intervals with no recombination events). The total genetic distance covered by the linkage map was 1545.65 cM and the average distance between adjacent markers was 0.37 cM with a physical distance of about 0.51 Mb. Our results demonstrated a relatively high degree of collinearity between the genetic map and the B73 reference genome. The quality and accuracy of the bin map for QTL detection was verified by the mapping of a known gene, pericarp color 1 (P1), which controls the color of the cob, with a high LOD value of 80.78 on chromosome 1. Using this high-density bin map, 35 QTL affecting plant architecture, including 14 for plant height, 14 for ear height, and seven for internode number were detected across three environments. Interestingly, pQTL10, which influences all three of these traits, was stably detected in three environments on chromosome 10 within an interval of 14.6 Mb. Two MYB transcription factor genes, GRMZM2G325907 and GRMZM2G108892, which might regulate plant cell wall metabolism are the candidate genes for qPH10.ConclusionsHere, an ultra-high density accurate linkage map for a set of maize RILs was constructed using a GBS strategy. This map will facilitate identification of genes and exploration of QTL for plant architecture in maize. It will also be helpful for further research into the mechanisms that control plant architecture while also providing a basis for marker-assisted selection.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2555-z) contains supplementary material, which is available to authorized users.

Using combined linkage and association mapping, 26 stable QTL and six stable SNPs were detected across multiple environments for eight ear and grain morphological traits in maize. One QTL, PKS2, might play an important role in maize yield improvement. In the present study, one bi-parental population and an association panel were used to identify quantitative trait loci (QTL) for eight ear and grain morphological traits. A total of 108 QTL related to these traits were detected across four environments using an ultra-high density bin map constructed using recombinant inbred lines (RILs) derived from a cross between Ye478 and Qi319, and 26 QTL were identified in more than two environments. Furthermore, 64 single nucleotide polymorphisms (SNPs) were found to be significantly associated with the eight ear and grain morphological traits (-log(P) > 4) in an association panel of 240 maize inbred lines. Combining the two mapping populations, a total of 17 pleiotropic QTL/SNPs (pQTL/SNPs) were associated with various traits across multiple environments. PKS2, a stable locus influencing kernel shape identified on chromosome 2 in a genome-wide association study (GWAS), was within the QTL confidence interval defined by the RILs. The candidate region harbored a short 13-Kb LD block encompassing four SNPs (SYN11386, PHM14783.16, SYN11392, and SYN11378). In the association panel, 13 lines derived from the hybrid PI78599 possessed the same allele as Qi319 at the PHM14783.16 (GG) locus, with an average value of 0.21 for KS, significantly lower than that of the 34 lines derived from Ye478 that carried a different allele (0.25, P < 0.05). Therefore, further fine mapping of PKS2 will provide valuable information for understanding the genetic components of grain yield and improving molecular marker-assisted selection (MAS) in maize.

HighlightInfection by Rice black-streaked dwarf virus (RBSDV) causes heavy yield losses in maize. We conducted analyses of microRNAs, the degradome, and transcriptome sequences in order to gain insights into RBSDV-responsive pathway(s) in maize.

Characterization of the genetic properties of maize inbred lines is beneficial not only for increasing knowledge of genetic diversity, but also for maize breeding. In the present study, a panel of 240 maize inbred lines commonly used in China, including three foundation parents Dan340, Mo17, and Huangzao4, and their derivatives, was genotyped using the MaizeSNP50 BeadChip, which contains 56,110 single-nucleotide polymorphism (SNP) markers. As a result, 40,757 SNPs with unique physical positions were successfully recalled in this panel with an average coverage of 50 kb per SNP. Five subgroups including Lan, LRC, PB, Reid, and SPT were inferred using 4000 SNPs with minor allele frequency C0.200, a result that was largely consistent with the pedigree information for these 240 inbred lines. With a cutoff value of r 2 \ 0.100, linkage disequilibrium (LD) decay distances along the ten chromosomes of maize ranged from 397 to 819 kb, with an average of 643 kb. A subtotal of 26, 35, and 23 identity-by-descent segments, which were longer than both the average LD decay distance on the corresponding chromosomes and the local LD decay distance of r 2 \ 0.100, were identified in the Dan340, Huangzao4, and Mo17 derivatives, respectively. Three lower peaks for Tajima's D overlapped with three major quantitative trait loci (qkrn7, scmv1, and qHS2.09) in these derivatives. Elucidating the genetic properties of this panel provides information for investigating the genetic architecture of agronomic traits and heterotic grouping during maize breeding.

Waxy maize is prevalently grown in China and other countries due to the excellent characters and economic value. However, its low content of lysine can’t meet the nutritional requirements of humans and livestock. In the present study, we introgressed the opaque2 (o2) allele into waxy maize line Zhao OP-6/O2O2 by using marker-assisted selection (MAS) technique and successfully improved the lysine content and quality of waxy maize. Transcript abundance analysis indicated that the wx1 expression levels had no difference between Zhao OP-6/o2o2 and Zhao OP-6/O2O2. However, Zhao OP-6/o2o2 was characterized by a phenotype of hard and vitreous kernels and accumulation of protein bodies at smaller size (one third of that of parents) but in larger numbers. Biochemical analyses showed that Zhao OP-6/o2o2 had 16.7% less free amino acids than Zhao OP-6/O2O2, especially those derived from glycolytic intermediates, but its content of lysine was increased by 51.6% (0.47% vs. 0.31%). The content of amylopectin was 98.5% in Zhao OP-6/o2o2, significantly higher than that in Zhao OP-6/O2O2 (97.7%). Proteomic analyses indicated that o2 introgression not only decreased the accumulation of various zein proteins except for 27-kDa γ-zein, but also affected other endosperm proteins related to amino acid biosynthesis, starch-protein balance, stress response and signal transduction. This study gives us an intriguing insight into the metabolism changes in endosperm of waxy maize introgressed with opaque2.

A QTL qMrdd8 that confers resistance to MRDD was fine mapped into an interval of 347 kb; one SNP and two InDels identified in the interval were significantly associated with resistance to MRDD. Maize rough dwarf disease (MRDD) is highly prevalent in the summer maize-growing areas in China, and leads to significant yield losses in maize (Zea mays L.). In this study, the quantitative trait locus (QTL) qMrdd8, which confers resistance to MRDD, was fine mapped. Initially, qMrdd8 was consistently identified in the interval between the simple sequence repeat markers umc1617 and phi121 in three F sub-populations derived from a cross between the resistant recombinant inbred line NL203 and the susceptible line B73. Subsequently, qMrdd8 was fine mapped into an interval of 347 kb defined by the markers IDRQ2 and IDRQ20 using a recombinant-derived progeny test strategy. Based on single nucleotide polymorphism (SNP) genotypes identified using the MaizeSNP50 BeadChip, a long haplotype including qMrdd8 was identified in four resistant inbred lines. One SNP, the 2549-bp insertion/deletion polymorphism (InDel) InDel25, and the 2761-bp InDel27, which all were significantly associated with resistance to MRDD in a set of 226 maize inbred lines (P < 0.05), were detected within qMrdd8. Furthermore, two candidate genes, CG1 and CG2, were detected in the interval using RNA sequencing (RNA-Seq), and InDel25 was localized within the candidate gene CG1. In conclusion, the fine mapping of qMrdd8 will be helpful in cloning the resistance gene, and the three polymorphic markers identified in this study could be used to improve MRDD resistance via a marker-assisted selection approach.

Maize plant height related traits including plant height, ear height, and internode number are tightly linked with biomass, planting density, and grain yield in the field. Previous studies have focused on understanding the genetic basis of plant architecture traits per se, but the genetic basis of combining ability remains poorly understood. In this study, 328 recombinant inbred lines were inter-group crossed with two testers to produce 656 hybrids using the North Carolina II mating design. Both of the parental lines and hybrids were evaluated in two summer maize-growing regions of China in 2015 and 2016. QTL mapping highlighted that 7 out of 16 QTL detected for RILs per se could be simultaneously detected for general combining ability (GCA) effects, suggesting that GCA effects and the traits were genetically controlled by different sets of loci. Among the 35 QTL identified for hybrid performance, 57.1% and 28.5% QTL overlapped with additive/GCA and non-additive/SCA effects, suggesting that the small percentage of hybrid variance due to SCA effects in our design. Two QTL hotspots, located on chromosomes 5 and 10 and including the qPH5-1 and qPH10 loci, were validated for plant height related traits by Ye478 derivatives. Notably, the qPH5-1 locus could simultaneously affect the RILs per se and GCA effects while the qPH10, a major QTL (PVE > 10%) with pleiotropic effects, only affected the GCA effects. These results provide evidence that more attention should be focused on loci that influence combining ability directly in maize hybrid breeding.

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