Crop yield is determined by the capacity of the plant canopy to capture light energy and store nitrogen (Sinclair and Sheehy, 1999), which in turn depends mostly on the photosynthetic rate per se and canopy architecture of the plant. Leaf angle (LA), which is defined as the inclination between the leaf blade midrib and the vertical culm, is one of the most important parameters describing the canopy architecture (Anderson and Denmead, 1969). It is a complex trait, and several related quantitative trait loci (QTLs) have been identified; however, only two of these have been functionally characterized in maize (Ku et al., 2012; Tian et al., 2019). A few LA maize mutants have been found, and their corresponding genes have been cloned, such as liguleless1 (LG1), which is involved in cell division and differentiation. It is a mutant known to affect LA in maize (Moreno et al., 1997), and the mutation results in an absence of ligule or auricle, thus leading to considerably more upright leaves than the wild type. The ZmLG1 mutation induced by RNA‐guided Cas9 reduces the LA of the overall canopy (Li et al., 2017; Wang et al., 2019). Further analysis of the progeny indicated that the mutation was largely heritable and the hybrids carrying the mutation had an average LA that was 50% smaller than the wild type; this translated to an increased plant density of 90 000 plants/ha, and an increase in the net photosynthesis and yield by 16% and 2%, respectively (Li et al., 2017). However, the molecular mechanisms by which these genes control LA in maize need further exploration.
To identify new regulators of LA in maize, we conducted a QTL analysis of LA in the F2:3 population derived from crossing the compact inbred line Yu82 and the expanded inbred line Yu87‐1. A major QTL, qLA2, was identified, and it explained 9.42% of the phenotypic variance (Ku et al., 2012). The QTL does not overlap with the reported genes controlling LA, indicating that QTL, qLA2, is a novel genetic component in LA regulation. We developed a near‐isogenic line of Yu82 (named Yu82‐NIL) for qLA2 through repeated backcrossing and molecular‐assisted selection by using Yu82 as the receptor parent and D132 as the donor parent. The LA of Yu82‐NIL was found to be 17.46° greater than that of Yu82, indicating that qLA2 indeed contains an important locus controlling LA in maize (Figure 1a).
To clone the gene for qLA2, we mapped qLA2 using BC5F2 and BC6F2 populations (with a total of 18 235 individuals) and developed markers, and narrowed down qLA2 to a genomic region between the markers LA2‐9 and LA2‐11 (~21.65 kb in length) covered by a single BAC clone (AC202705) on chromosome 2 (Figure 1b). Of the two predicted genes in the region, Zm00001d002120 was not differentially expressed in the two lines, but Zm00001d002121 was consistently expressed at a significantly higher level in leaves of Yu82‐NIL than in those of Yu82, at the 6‐ to 9‐leaf stage of development (Figure 1c). Thus, we viewed Zm00001d002121 as the candidate gene for qLA2. The gene is an ortholog of OsILI1 reportedly a positive regulator that plays an important role in LA in rice (Zhang et al., 2009); therefore, we named it ZmILI1. It is a basic helix–loop–helix leucine zipper family transcription factor that harbours only the helix–loop–helix domain but lacks the basic region.
To verify that Zm00001d002121 corresponds to ZmILI1, we generated knockout mutants of Zm00001d002121 using CRISPR/cas9 technology; these mutants showed decreased LA (Figure 1d). To test the possible regulatory role of this promoter in expression control, we conducted a dual‐luciferase (Luc) transient assay with Yu82 and D132 promoters in Nicotiana benthamiana leaves. The results showed that the Luc reporter gene driven by the D132 promoter exhibited significantly higher expression than the reporter gene from the Yu82 promoter (Figure 1e), suggesting that promoter variations could explain the variations in its expression level and further affect its functionality.
To investigate the regulatory mechanism mediated by ZmILI1, we performed DAP‐Seq assays to uncover the genes directly targeted by ZmILI1. We predicted ZmILI1‐binding sites using MACS2 software with P‐value < 0.05 (based on a Poisson distribution comparing the ZmILI1 sample and the control) and identified 6249 peaks across the whole genome through ZmILI1‐binding motifs CGNCGN and ANANATA (Figure 1f). Of the ZmILI1‐binding sites, 48.3% (3018 peaks) were located in the genic regions containing the genes, as well as 5 kb upstream and downstream of the start and stop codons, respectively. EMSA further confirmed the ZmILI1‐binding motifs CGNCGN and ANANATA. The 3018 peaks correspond to 2893 genes; more specifically, ZmILI1 binds to upstream regions of 1062 genes. To further demonstrate the expression level of the genes as putative targets directly modulated by ZmILI1, RNA‐Seq data were generated from wild type and zmili1 lines. In 1062 putative target genes directly modulated by ZmILI1 in upstream regions, differential expression of six genes seemed to be responsible for LA; four of these genes were up‐regulated in ZmILI1 (Figure 1g). The up/down‐regulated genes are mainly involved in responses to auxins, cytokinins, brassinosteroids (BR) and cell differentiation.
To understand whether ZmILI1 functions as a transcriptional factor of the identified up/down‐regulated genes, we performed Luc transient transcriptional activity assays in N. benthamiana leaves with ZmILI1 driven by the 35S promoter as an effecter and Luc as the reporter gene (Figure 1h). The results showed that ZmILI1 specifically repressed the expression of Luc from the Zm00001d039513 (IAA26) and Zm00001d039453 (CYP90D1) promoters and increased the expression from Zm00001d002005 (LG1), Zm00001d047447 (PPC4), Zm00001d013271 (RRM) and Zm00001d052206 (EXO) promoters, indicating that these genes are target genes of ZmILI1 (Figure 1i). Thus, in our study, we found that ZmILI1 binds to the ZmLG1 promoter (−1868 bp; Figure 1j), which is a new regulatory relationship unreported in other species. In addition, ZmILI1 binds to the CYP90D1 promoter (−897 bp; Figure 1j), which is involved in distinct BR‐biosynthetic steps and likely participates in the oxidative C‐3 epimerization of BRs (Kim et al., 2005; Tang et al., 2010). It follows that biosynthesized BRs, via cytochrome P450‐catalysed oxidative reactions mediated by CYP90D1, could be delivered to BR receptor BAK1 to bind to nuclear transcription factors BZR1 and BZR2/BES1 (Tang et al., 2010) and ultimately bind ZmILI; this binding would repress CYP90D1 (Figure 1j) and thus affect BR biosynthesis. Furthermore, the signal transduction could form a new negative feedback loop in maize that has not been reported in other species.
In summary, our results demonstrate that ZmILI1 is a central regulator of multiple signalling and developmental pathways related to LA formation during maize development, acting in both direct and indirect ways to affect the patterns of gene transcription. A better understanding of ZmILI1 regulatory pathways will provide new insights into useful information for the elucidation of the molecular mechanisms underlying maize LA formation in the future.
Conflict of interest
The authors declare no conflicts of interest.
Author contributions
L.K., L. Wu., L. Wei. and Z.R. performed fine mapping of ZmILI1 and generated and characterized the transgenic plants. Z.R., H.L., D.D., H.Z., D.Z., H.W., S.H. Y. Cao and H.S. conducted molecular biology experiments. Y. Chen, L.K., L.W. and Z.R. designed the experiments and wrote the manuscript.
Acknowledgements
This research was supported by grants from the National Key Research and Development Program of China (2016YFD0101803), National Natural Science Foundation of China (Nos. 31571678 and 31871639) and Central Plains Science and Technology Innovation Leading Talents (194200510021).
Contributor Information
Lixia Ku, Email: kulixia0371@163.com.
Yanhui Chen, Email: chy9890@163.com.
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