Abstract
Maize ear size and kernel number differ among lines, however, little is known about the molecular basis of ear length and its impact on kernel number. Here, we characterize a quantitative trait locus, qEL7, to identify a maize gene controlling ear length, flower number and fertility. qEL7 encodes 1-aminocyclopropane-1- carboxylate oxidase2 (ACO2), a gene that functions in the final step of ethylene biosynthesis and is expressed in specific domains in developing inflorescences. Confirmation of qEL7 by gene editing of ZmACO2 leads to a reduction in ethylene production in developing ears, and promotes meristem and flower development, resulting in a ~13.4% increase in grain yield per ear in hybrids lines. Our findings suggest that ethylene serves as a key signal in inflorescence development, affecting spikelet number, floral fertility, ear length and kernel number, and also provide a tool to improve grain productivity by optimizing ethylene levels in maize or in other cereals.
Subject terms: Natural variation in plants, Plant breeding, Plant hormones
Considerable genetic variation exists in maize ear size and kernel number. Here the authors show that variation in a gene encoding an ethylene biosynthetic enzyme impacts ear length, flower fertility and kernel yield suggesting an important role for ethylene signaling during inflorescence development.
Introduction
Maize (Zea mays L.) is the world’s most productive cereal crop, partly due to the development of large ears with hundreds of kernels which develop in a stereotypical pattern from fertile florets. The mature female inflorescences of maize usually bear hundreds of kernels, which provide substantial nutrition to meet increasing demands for dietary energy and biofuel consumption by an increasing human population1,2. Promoting maize grain yield per unit area by genetic approaches is a sustainable path to double the global supply of maize grains. For high-yield maize breeding, kernel number per ear is one of the key breeding targets3. Kernels arise from well-developed and pollinated female florets, borne from spikelet meristems (SMs) derived from the inflorescence meristem (IM)4,5. Therefore, IM activity is believed to determine the number of florets and kernels on the maize inflorescence.
A complex functional hierarchy of genes participate in IM maintenance, including the classical CLAVATA-WUSCHEL (CLV-WUS) feedback signaling pathway6. Phytohormone signaling is also involved in regulating the activity of IMs in maize. Auxin biosynthesis-related genes SPARSE INFLORESCENCE 1 (SPI1)7 and VANISHING TASSEL2 (VT2)8, and auxin signaling genes BARREN INFLORESCENCE 1 (BIF1), BIF2 and BIF49,10 influence the initiation of the spikelet paired meristems (SPMs), and mutants in these genes reduce the number of florets on the ear. In addition to auxin, ethylene also regulates many aspects of plant growth and development, including flower development and sex determination11–15. In maize, the pleiotropic effect of ethylene was discovered by spraying plants with an appropriate concentration of Ethephon, which is converted to ethylene and is effective as an anti-lodging agent for small grains. Ethephon can enhance the grain yield when lodging is a problem16. In the absence of lodging, low rates of Ethephon can also increase grain yield, but high rates of Ethephon decrease yield16,17. Repression of ethylene biosynthesis or response by genetic manipulation enhances maize grain yield under drought and low nitrogen conditions18–20, indicating that maize grain yield can be enhanced by modifying ethylene synthesis and signaling. However, the ethylene-related genes that influence grain yield remain largely unknown.
Results and discussion
qEL7 controls grain yield by affecting floret number and fertility in developing ears
Previously, we identified a major QTL, qEL7, for maize ear length and kernel number and developed a set of QTL near-isogenic lines (NILs) (qEL7SL17 and qEL7Ye478)21. qEL7Ye478 plants had a significant increase in ear length (EL), kernel number per row (KNR), 100-kernel weight and ear weight (EW), and later flowering, compared with qEL7SL17 (Fig. 1a−g and Supplementary Table 1), although they were similar in kernel row number, ear diameter, plant height, leaf length and width (Fig. 1d, e, Supplementary Fig. 1a and Supplementary Table 1). Despite having longer ears with more seeds at maturity, developing qEL7Ye478 ears had significantly shorter ear IMs and fewer florets (Fig. 1h, j, k, Supplementary Fig. 1b and Supplementary Table 1). Maize ears are indeterminate, producing florets at the tip that are not fertilized or “filled” to produce seed, and these unproductive or aborted florets are often masculinized. By careful analysis of developing ears, we found that the floret abortion rate of the florets in the qEL7Ye478 long ear NILs (~18.7%) was dramatically lower than in the qEL7SL17 short ear NILs (~44.7%) (Fig. 1i, l, m, Supplementary Fig. 1c and Supplementary Table 1). These results indicate that additional kernels in the long ear qEL7Ye478 result from a higher proportion of florets that developed into seeds, not from increased floret production.
SNPs and InDels in the ZmACO2 promoter are candidate variants underlying qEL7
To fine map qEL7, we identified seven close recombinants from mapping populations derived from the QTL parents and conducted progeny testing (Supplementary Fig. 1d). By fine mapping, we delineated qEL7 into a 50.8-kb physical interval flanked by markers M4 and M5 (Fig. 2a, Supplementary Fig. 1d and Supplementary Data 1). Homozygous recombinants carrying the qEL7Ye478 allele in this interval showed an increase in EL, KNR, and EW, but no change in kernel row number across two environments (Supplementary Fig. 1d and Supplementary Data 1). Only one gene, Zm00001d020686, which encodes 1-aminocyclopropane-1-carboxylate oxidase2 (ACO2), is annotated in this region of B73 RefGenV4 (Fig. 2a), and was referred to as ZmACO2. Sequencing of ZmACO2 from the QTL parents revealed five insertion/deletions (InDels) and eleven single nucleotide polymorphisms (SNPs) in its 5ʹ-untranslated region (UTR) and promoter region, but complete sequence identity in the coding region (Fig. 2b). Consistent with these differences in non-coding regions, expression of ZmACO2 in developing ears differed in the parental lines, with lower expression in the long ear qEL7Ye478 line than in the short ear qEL7SL17 line (P < 0.01) (Fig. 2c). These results suggest that sequence variation in the promoter leads to the differences in ZmACO2 expression and ear phenotypes between qEL7Ye478 and qEL7SL17.
We next asked if sequence variations of ZmACO2 were associated with ear-traits. We sequenced the 3,539 bp genomic region, covering the promoter and gene body of ZmACO2, in 214 diverse inbred lines. We identified 56 polymorphic variants (Fig. 2d), and found that four SNPs (-666, -645, -643 and -622) and one 7 bp InDel (-298) in the promoter region were significantly associated with ear length (p = 1.73E−04) (Supplementary Table 2). Transcription factor (TF) binding motif predictions showed that the 7 bp insertion could introduce new binding sites for bHLH, TCP, and Dehydrin TF families (Supplementary Table 3). The five associated sites, which were in complete linkage disequilibrium, formed two haplotypes: one with qEL7SL17 genotype and the other with qEL7Ye478 genotype were named HapSL17 and HapYe478, respectively (Fig. 2d). Those inbred lines carrying HapYe478 exhibited a longer ear with more kernels per row than inbred lines carrying HapSL17 (Fig. 2e, f), and expression of ZmACO2 in lines with HapYe478 was significantly lower than in the HapSL17 lines (Fig. 2g). Therefore, we infer that the five associated variants in the ZmACO2 promoter are possible causal sites that contribute to variations of ZmACO2 expression and the ear-trait phenotypes. We next sequenced the ZmACO2 promoter and gene body from 53 teosinte and 44 maize landrace lines to examine the selection pressure acting on this region during maize domestication and improvement (Supplementary Data 3). The promoter region, covering the five associated sites, showed a weak signal of selection, with a considerable reduction in nucleotide diversity (πmaize/πteoisnte = 0.33) and a non-neutral evolution pattern (p = 0.02, HKA test) from teosinte to maize (Supplementary Fig. 2a). However, the favorable HapYe478 haplotype wasn’t obviously enriched from teosinte to maize, as it was present in over 50% of both teosinte and maize lines (Supplementary Fig. 2b), indicating that HapYe478 emerged before domestication and was maintained at a high frequency during maize domestication and improvement.
ZmACO2 negatively controls ear length and grain yield
To confirm the function of ZmACO2 in ear development, we created two knockout lines (aco2-cr1 and cr2) by CRISPR-Cas9 (Fig. 3a−d and Supplementary Fig. 3a) and three overexpression lines (ACO2-OE1, OE2, and OE3) (Fig. 3e−h) using maize Ubiquitin promoter-driven ZmACO2 constructs (pUBI:ZmACO2). ZmACO2 loss-of-function lines showed an increase in ear length by 6.8−7.2% (Fig. 3b), in kernel number per row by 7.9−15.2% (Fig. 3c), and in ear weight by 13.9−15.1% (Fig. 3d), compared with the corresponding wild-type siblings. Through the analysis of developing ears, we found aco2-cr1 plants had a lower floret abortion rate (Supplementary Fig. 3b−g), consistent with the effect of the long ear allele qEL7Ye478 in floret fertility (Supplementary Fig. 1c). However, the aco2-cr1 plants also had a larger IM with more florets. These results suggest that aco2 knockout alleles increase kernel number by promoting both floret formation and floret fertility. The aco2 knockout lines also did not impact other leaf phenotypes, such as senescence (Supplementary Fig. 3h). Overexpressing ZmACO2 led to a 3−5 fold elevation of transcript levels (Supplementary Fig. 3i), and a decrease in ear length by 9.3−10.9% (Fig. 3f), in kernel number per row by 8.8−16.0% (Fig. 3g), and in ear weight by 21.7−25.2% (Fig. 3h) relative to the wild-type siblings. We confirmed the ear length and kernel number per row changes of overexpression and knockout lines in a second field season (Supplementary Data 4). These results confirmed that ZmACO2 negatively controls kernel number and grain yield in maize.
In addition to knockout and overexpression of ZmACO2, we also mutated its promoter by CRISPR-Cas9 using eight single-guide RNAs (sgRNAs) to target a 520 bp non-repetitive promoter region. The targeted region covered the candidate causal 7 bp InDel (-298) of qEL7, and accessible chromatin detected in developing ears by Assay for Transposase-Accessible Chromatin using sequencing22 and Micrococcal Nuclease digestion with deep sequencing23 (Supplementary Fig. 3j). We identified five promoter-edited alleles (ACO2CR-pro1 to ACO2CR-pro5) with 71−516 bp deletions in this region (Supplementary Fig. 3k) that decreased ZmACO2 expression in developing ears (Supplementary Fig. 3l). Like aco2-cr knockout alleles, these promoter-edited alleles showed a significant increase in ear length by 6.1−14.7%, in kernel number per row by 8.6−17.8% and in ear weight by 14.6−24.7%, compared to wild-type siblings (Supplementary Fig. 3m−o and Supplementary Data 5). Similar changes of these promoter-edited lines in ear length and kernel number per row were observed in a second field season (Supplementary Data 5). Therefore, this promoter region is critical for maintaining ZmACO2 expression, and its disruption increased ear length and kernel number.
ZmACO2 regulates ethylene biosynthesis in developing ears
ZmACO2 was expressed widely in roots, internodes, and leaves, with a high expression in inflorescences (Supplementary Fig. 4a). RNA in situ hybridization revealed that ZmACO2 transcripts were enriched in the adaxial domains of SPMs (Fig. 4a), in semicircular domains at the base of SMs (Fig. 4b), and at the junction between glumes and FMs (Fig. 4c), suggesting a highly localized expression pattern is important for its developmental function. We next investigated the molecular function of ZmACO2. ACC oxidase converts ACC (1-aminocyclopropane-1-carboxylate) into ethylene in the final pathway step of ethylene biosynthesis in plants (Fig. 4e)24. To confirm the biological activity of ZmACO2, we purified ZmACO2 protein and measured its enzyme activity in vitro by quantifying ethylene production at different ACC substrate concentrations. A conserved histidine participates in the binding of a Fe2+ cation required for ACO catalytic activity25, so we made a negative control ZmACO2 protein with a histidine (H) to glutamine (Q) substitution at this residue (H186Q) (Supplementary Fig. 4b). The amount of ethylene production catalyzed by ZmACO2 increased exponentially up to an ACC concentration of 20 mM, whereas the negative control H186Q proteins had no activity, as expected (Fig. 4f). Next, to ask if ZmACO2 controlled ethylene biosynthesis in vivo, we measured ethylene levels in dissected developing ears, and found that ethylene levels were significantly lower in the long ear qEL7Ye478 line than that in qEL7SL17 (Fig. 4g), which agreed with ZmACO2 expression in the two NILs (Fig. 2c). We further observed decreased ethylene levels in the aco2-cr1 line, and increased ethylene levels in the ACO2-OE3 line (Fig. 4h), supporting the idea that ZmACO2 catalyzes ACC conversion into ethylene in vivo. Together, these results suggest that ZmACO2 negatively controls kernel number and yield in maize by regulating ethylene biosynthesis. Phytohormones play crucial roles in plant growth, development, and response to various stimuli. The gaseous phytohormone ethylene has long been recognized as a growth inhibitor26,27. However, ethylene was found to promote cell division in the quiescent center in the root stem cell niche in Arabidopsis and rice28,29. Ethylene also has a dose-dependent effect in opposite directions, both promoting and repressing cell division and fruit elongation in cucumber15. Therefore, ethylene appears to have alternating roles, either stimulating or inhibiting growth, depending on endogenous and environmental conditions and developmental stage26,27. Here, a higher ethylene level could increase IM size and form more spikelets in developing qEL7SL17 ears compared to qEL7Ye478. Usually, IM size is positively correlated with kernel numbers and grain yield in maize30–33. However, sex determination of florets was abnormal in qEL7SL17 ears, and associated with a reduction in floret fertility, ear length, kernel number, and grain yield, suggesting that floret fertility is also critical for maize grain yield. These findings suggest the role of ethylene in maize grain yield-related traits is more complex than in cucumber fruit size regulation15, and the optimization of ethylene levels for grain yield enhancement of maize or other cereal crops needs to balance its effect in both meristem activity and floret fertility.
Ethylene may participate in cross-talk with other phytohormones in developing ears
Recent findings suggest that the function of ethylene in primary root elongation is mediated via interactions with other phytohormones, such as auxin, gibberellin (GA), cytokinins (CK), jasmonic acid (JA), and brassinosteroids (BR)26,27. The potential cross-talk between ethylene and other phytohormones could also be observed in transcriptome profiling of developing ears of qEL7SL17 and qEL7Ye478 NIL lines, at the ~2 mm stage where spikelets are being initiated. We first checked the expression of ZmACO2 homologs in two NIL lines and found another three ZmACO2 homologs expressed (FPKM > 2) in developing ears (Fig. 5a, b), suggesting a redundant role of these genes in ethylene biosynthesis. All three genes were down-regulated in qEL7Ye478 similar to ZmACO2 (Fig. 5a, b), and thus may contribute to the lower ethylene level in the qEL7Ye478 long ear line.
Ethylene can stimulate auxin biosynthesis, as suggested by previous studies26,27. In the low ethylene qEL7Ye478 line, the expression of seven auxin biosynthesis-related genes were significantly altered, and four of them were downregulated (Fig. 5c and Supplementary Data 6). Notably, another three known auxin-related key regulators of meristem development, BIF410, VT28 and FASCIATED EAR4 (FEA4)34, were downregulated in qEL7Ye478 line (Fig. 5d and Supplementary Data 6). In particular, BIF4, a key component of auxin hormone signaling10, was downregulated 5.6 fold, and VT2, which encodes an enzyme in the tryptamine pathway for auxin biosynthesis8 was down-regulated 1.7 fold. FEA4, which tends to activate genes related to auxin response34, was downregulated 2.1 fold. We measured the IAA content in developing ears of the two NIL lines, and found a significant decrease in IAA levels in qEL7Ye478 (Fig. 5e). Therefore, the auxin biosynthesis and signaling pathways were suppressed in the low ethylene qEL7Ye478 line, suggesting that ethylene may modulate auxin biosynthesis in developing maize ears.
Most flowering plants produce perfect flowers containing both stamens (male organs) and pistils (female organs)35. Although maize florets are initially bisexual, they become unisexual male flowers in the tassel and female flowers in the ear with only stamens or pistils through the process of sex determination5. Previous studies suggested JA is necessary for pistil abortion and acquisition of the male characteristics of staminate spikelets36,37. In the long ear line qEL7Ye478, eight JA biosynthesis-related genes were significantly altered, and seven of them were downregulated (Fig. 5c and Supplementary Data 6). Two known JA biosynthesis genes, Tasselseed1 (TS1)36 and Tasselseed2 (TS2)37, were also downregulated 3.0 and 2.3 fold, respectively (Fig. 5d and Supplementary Data 6). We measured JA levels in developing ears of the two NIL lines. The long ear qEL7Ye478 line had a lower level of JA, jasmonyl-isoleucine conjugate (JA-Ile), and JA precursor 12-oxophytodienoic acid (OPDA) (Fig. 5f−i), suggesting a lower JA level may block the conversion to male florets in qEL7Ye478 ear tips. These results also suggest that ethylene might regulate JA biosynthesis in maize, in contrast to previous reports that JA predominantly acts upstream of ethylene26,27. Besides IAA and JA, biosynthesis-related genes of some other phytohormones were also significantly altered, including BR, CK, and GA (Fig. 5c and Supplementary Data 6). These results suggest that ethylene could influence the phytohormone balance in developing maize ears, however, additional studies are needed to support this hypothesis.
Ethylene may regulate inflorescence development-related genes
In addition to phytohormone cross-talk, 22 key genes involved in maize inflorescence development were also significantly altered in qEL7Ye478 (Fig. 5d and Supplementary Data 6). Of them, six floral meristem determinacy regulators, such as INDETERMINATE SPIKELET1 (IDS1) and TASSELS REPLACE UPPER EARS1 (TRU1)38,39, were downregulated 1.7-3.0 fold (Fig. 5d and Supplementary Data 6). Three RAMOSA-related spikelet determinacy regulators, such as RA3 and RA140,41, were upregulated 1.6−4.9 fold (Fig. 5d and Supplementary Data 6). Besides, meristem activity regulators, such as ZmFCP1 and ZmCLE730–32, were either down or upregulated (Fig. 5d and Supplementary Data 6). Therefore, ethylene might affect ear development by phytohormone cross-talk and regulating inflorescence development-related genes, and the underlying mechanisms need to be revealed by further studies. The alteration in ZmACO2 expression might also affect ACC content, which is the precursor of ethylene and can act directly to regulate plant growth and development42,43. Further evidence is needed to confirm if ACC also regulates maize ear development.
ZmACO2 natural favorable alleles and CRISPR null alleles can enhance grain yield
Grain yield is a complex trait and controlled by numerous QTLs. Some of them have a considerable effect, but only in specific genetic backgrounds, which challenges their application in yield enhancement. Therefore, we evaluated the effect of qEL7 on grain yield-related traits in diverse genetic backgrounds. We first crossed both qEL7SL17 and qEL7Ye478 to 13 diverse inbred lines, including eight lines carrying HapYe478 and five lines carrying HapSL17. By comparing to the “inbred × HapSL17” hybrids, all 13 hybrids derived from “inbred lines × HapYe478” showed longer ears with more kernels and greater ear weight (Supplementary Fig. 5). The ear weight increase ranged from 6.4 to 14.5%, with 10.8% on average (Supplementary Fig. 5). We also tested the ability of ZmACO2 to control yield in diverse lines by crossing the aco2-cr1 line, or its wild-type sibling, to six inbred lines; three with HapSL17 and three with HapYe478 (Fig. 6a), and made 12 hybrids for yield measurements in three field seasons (Fig. 6b and Supplementary Data 7). We found enhancement of multiple grain yield-related traits in hybrids derived from aco2-cr1, including increases in ear length (3.5−7.0%), kernel number per row (4.7−6.3%), ear weight (9.0−13.9%), and grain yield per ear (5.7−21.4%) relative to hybrids derived from wild-type siblings (Fig. 6c−f and Supplementary Data 7). The average increase in grain yield per ear of 12 hybrids was about 13.4% (Fig. 6f and Supplementary Data 7). In summary, both the natural HapYe478 allele and newly created aco2 null CRISPR allele enhance ear length, kernel number, and grain yield under diverse genetic backgrounds.
In summary, we isolated the causal gene ZmACO2 underlying qEL7. We confirmed that lower ZmACO2 expression resulted in reduced ethylene emission in vivo, but increased the number of fertile florets and kernels, possibly through cross-talk with other hormones and inflorescence development-related genes. The complete or partial loss of ZmACO2 function through silencing the gene or modifying its promoter can enhance the grain yield of inbred lines and hybrids. Therefore, our findings provide a tool for improving grain yield by optimizing ethylene levels in maize or other cereals and expand our understanding of hormone cross-talk in inflorescence development regulation.
Methods
Fine mapping of qEL7
We previously detected qEL7 on bin7.02 using a set of F2:3 families derived from a cross of qEL7SL17 × qEL7Ye478. Both qEL7SL17 and qEL7Ye478 are a set of near-isogenic lines at qEL7 in the Ye478 genetic background21. To fine map qEL7, over 12,000 F2 individuals derived from the qEL7SL17 × qEL7Ye478 were genotyped with eleven markers flanking the qEL7 interval to identify recombinants. The heterozygous recombinant was self-crossed to segregate the homozygous recombinant (HR) and non-recombinant (HNR). The progeny families from HRs and NHRs were phenotyped at Wuhan (30°N, 114°E) and Ezhou (30°N, 114°E), China, in 2016 and 2017 under a randomized block design with three replicates. Each plot consisted of 11 individuals grown in a single row with 3 m in length, spacing of 0.3 m between plants, and 0.6 m between rows. Eight to ten competitive individuals were harvested in each plot, and subsequently air-dried to measure the ear length (cm), kernel number per row, kernel row number, ear diameter (cm) and ear weight (g). The sequences of the markers used for fine mapping were listed in Supplementary Data 8. The difference significance was examined using the two-tailed two-sample Student’s t-test.
Analysis of nucleotide diversity and molecular evolution of ZmACO2
A 3,539 bp region covering ZmACO2 was resequenced in an association mapping panel with 214 diverse inbred lines by specific primers (Supplementary Data 8), including 1,230 bp upstream 1,635 bp gene body and 674 bp downstream region. Nucleotide diversity was detected by multiple sequence alignment using BioEdit version 7.2.544. Those variants with minor allele frequency (MAF) over 5% were identified and were then used for an association study. All phenotypes used in this study were measured in Sanya (18°N, 109°E) in 2019 with two replicates and ~ten plants for each replicate. Association mapping was performed using a mixed linear model (MLM), considering population structure and relative kinship, in TASSEL version 3.0.6745–47. Pairwise linkage disequilibrium was calculated and then plotted using R software version 3.5.148. A Bonferroni-corrected significance threshold (p ≤ 0.01/56 = 1.79E−04) was used to identify the significant association. The transcription factor binding site prediction was conducted by PlantPAN 3.049.
The selection pressure on ZmACO2 during maize domestication and improvement was estimated in a collection of 44 maize landraces and 53 Z. mays subsp. parviglumis teosintes (Supplementary Data 3). The ZmACO2 genomic region was amplified and sequenced using primers listed in Supplementary Data 8. Nucleotide diversity (π) and Tajima’s D were estimated using DnaSP ver. 5.050. Three neutral loci (adh1, adh2, and te1)51–53 were used as controls for the HKA test54 using Zea diploperennis as the outgroup. The overall HKA P-value was obtained by summing the individual χ2 values of the three control genes. All of the sequences are listed in source data.
Vector construction, genetic transformation, and identification of the transgenic maize
CRISPR-Cas9 was used to generate null alleles and mutations in the ZmACO2 (Zm00001d020686) promoter region. Single-guide RNAs (sgRNAs) were designed based on the B73 reference genome sequence using the CRISPR-P web-tool55 (http://cbi.hzau.edu.cn/crispr/). sgRNA arrays were cloned into the CPB binary vector following the manufacturer’s suggested protocols56. To overexpress ZmACO2, we cloned a 1,853 bp ZmACO2 fragment including 1,133 bp coding region and 720 bp 3′-UTR into the binary vector pZZ01523, which was driven by the maize Ubiquitin (Zm00001d015327) promoter. All plasmids were transformed into inbred line KN5585 via Agrobacterium-mediated transformation57 at China National Seed Group Co., Ltd (Wuhan, China). Genomic editing of ZmACO2 was screened by PCR amplification and Sanger sequencing of the target regions. The Cas9 negative edited plants were selfed for two generations before further phenotypic scoring and expression analysis. The guide RNA sequences, PCR primers for ZmACO2, and its promoter genotyping are listed in Supplementary Data 8. Overexpression transgenic lines were confirmed by amplifying the target gene and Ubiquitin promoter with specific primers (Supplementary Data 8).
Gene expression analysis
ZmACO2 expression was analyzed using developing ears that were collected from B73, two NILs, ZmACO2 promoter-edited lines (ACO2CR-pro1−ACO2CR-pro5), ZmACO2 overexpression lines (ACO2-OE1−ACO2-OE3), and 40 diverse inbred maize lines, respectively. Total RNA was extracted using TRIzol® Reagent (Life Technologies, Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. Tissue samples were collected from B73 at various developmental stages, including seedling roots, seedling internodes, immature leaves, mature leaves, 2 mm ears, 5 mm ears, and 5 mm tassels. Total RNA of qEL7SL17 and qEL7Ye478 was extracted from immature ear stage 1 (2 mm ears at 10-leaf stage with inflorescence meristems (IMs) and spikelet pair meristems (SPMs)), and immature ear stage 2 (5 mm ears at 12-leaf stage with IMs, SPMs, and spikelet-meristems (SMs)). Total RNA of ZmACO2 promoter edited lines, ZmACO2 overexpression lines, and 40 diverse maize inbred lines were extracted from immature ears at the S1 stage. DNase I (TaKaRa Biotech, Dalian, China) was used to remove genomic DNA contamination. Oligo (dT) primers and M-MLV reverse transcriptase (Invitrogen, Carlsbad, CA, USA) were used to synthesize first-strand cDNA. Quantitative real-time PCR was performed using Universal SybrGreen Master Mix (Bio-Rad, Hercules, CA, USA) on the CFX96 Real-Time system (Bio-Rad). The maize Actin gene (Zm00001d010159) was used as an internal control. The relative expression of the gene was calculated by the 2−ΔCt method. The primers used for quantitative real-time PCR are listed in Supplementary Data 8.
Total RNA of qEL7SL17 and qEL7Ye478 from immature ears was sequenced on an Illumina HiSeq 2000 system (Illumina Inc., San Diego, CA USA) in the Beijing Genomics Institute (BGI). Raw RNA-seq reads (on average ~30 million reads for each) were trimmed with Trimmomatic v.0.3658 (parameters: ILLUMINACLIP:TruSeq3-PE. fa:2:30:10:LEADING:3 TRAILING:3 SLIDINGWINDOW:4:20 MINLEN:50) and then aligned to B73 RefGen_v3 reference using TopHat v.2.1.159 (parameters: --b2-sensitive --read-mismatches 2 --read-edit-dist 2 --min-anchor 8 -- splice-mismatches 0 --min-intron-length 50 --max-intron-length 50,000 -- max-multihits 20). Next, Cufflinks v2.2.160 was used to calculate the gene expression level and call differentially expressed gene (p < 0.05, q < 0.05 and fold change > 1.5). The maize phytohormones biosynthesis-related genes were annotated by MaizeCyc v2.261.
Immature B73 ears (5 mm) were freshly collected and fixed in 4% paraformaldehyde (Electron Microscopy Sciences, 15714 s) for 16 h at 4 °C, and dehydrated through a graded alcohol series (50, 70, 85, 95, and 100%) and a histoclear series (National diagnostics, HS-202), then embedded in paraplast (McCormick Scientific, 39503002). 8−10 µm sections were cut using a Leica microtome (Leica RM2265), then mounted on ProbeOn Plus Slides (Fisher Scientific, 22-230-900). The probe fragment was amplified from B73 immature ears cDNA using primers ACO2-F (5′-ATGGCGCCTGCATTGTCATT-3′) and ACO2-R (5′-TCACGCGATGGCTATGCGAT-3′), and subcloned into pEASY-T1 (TransGen Biotech, CT101-01). Clones carrying an insertion in both orientations were identified and sequence-verified to generate antisense or sense probes by in vitro transcription with T7 polymerase (Sigma-Aldrich, 10881775001) and NTP cocktail. The NTP cocktail contains ribonucleoside triphosphate set (Roche, 11277057001) including ATP, GTP, CTP and 1:1 molar ratio of digoxigenin-11-uridine triphosphate (DIG-11-UTP, Roche, 11209256910): cold (unlabeled) UTP nucleotide (Roche, 11277057001). Hybridization was performed according to Jackson (1994)62 and probes were then applied on tissue sections and incubated at 50 °C overnight. After hybridization, the sections were washed in 0.2× SSC and treated by RNaseA (Roche, 10109142001). Then the sections were incubated with anti-digoxigenin antibody (Anti-Digoxigenin-AP Fab fragments, Roche, 11093274910) at a concentration of 1:1250 for two hours at room temperature and washed in 1% Bovine Serum Albumin buffer (Sigma, B2064-50G). Sections were incubated with freshly dissolved NBT/BCIP (NBT/BCIP Ready-to-Use Tablets, Roche, 11697471001) solution for 12−15 h before mounting, and imaged using a Nikon DS-Ri2 DIC microscope.
In vitro ACO activity assays
The ZmACO2 coding sequence was cloned into pET28a-sumo (Novagene), and site-directed mutagenesis was performed to introduce the point mutation H186Q described in the results section. Both sequences were verified by Sanger sequencing before transformation into the Rosetta E. coli strain. Cultures were grown to an OD600 of 0.6 at 37 °C, cooled to 16 °C prior to addition of isopropyl β-D-1-thiogalactopyranoside to a final concentration of 0.5 mM, and grown for an additional 12−16 h at 16 °C. Purification of His-ZmACO2 was performed with the Ni-NTA protein purification system (QIAGEN) according to the manufacturer’s instructions. Protein purity and concentration were assessed using SDS-PAGE gels.
The ZmACO2 activity assay was carried out in a scintillation vial (VWR Collection, VWRU66022-065)24. The standard reaction of a 5 mL mixture in a sealed 10 mL test vial contained 50 mM 4-morpholinepropanesulfonic acid (pH 7.2), 5 mM ascorbic acid sodium salt, 20 mM sodium bicarbonate, 0.02 mM iron sulfate, 1 mM ACC, 1 mM dithiothreitol, and 10% glycerol (v/v.) The reaction was initiated by adding 1 µg of purified recombinant enzyme. After incubation for 1 h at 30 °C with shaking, 1 mL of gas was withdrawn with a syringe from the headspace of the sealed 10 mL tube for ethylene quantification using an Agilent 7890B gas chromatograph fitted with a flame-ionization detector. The standard curve was created with standard concentrations of ethylene: 1, 2, 3, and 5 µL/L, with the equation y = 12.51x − 0.914; r2 = 0.998 (y: peak area of ethylene; x: the concentration of ethylene in the sample; r2: coefficient of determination). The results shown are the mean of three replicates.
Endogenous ethylene measurement
To measure endogenous ethylene production, we collected immature ears from the two NILs (2 and 5 mm) and transgenic lines (5 mm), respectively. Samples were placed in a 10 mL container with 2 mL LB medium and sealed with a rubber stopper. After incubation at 25 °C for 24 h in the dark, 1 mL of gas was withdrawn using a gas-tight syringe from the headspace and injected into a gas chromatograph (Agilent 7890B, USA) equipped with a flame-ionization detector and a capillary column for ethylene measurement. The ethylene production rate (microliters per gram fresh weight per hour) was calculated on the basis of the initial fresh weight of the immature ears. 30−50 plants were used for each biological replicate, and three biological replicates for each. The difference significance was calculated using a two-tailed Student’s t-test.
Measurement of endogenous IAA and JA levels
We collected immature ears (~0.5−1 cm) from qEL7SL17 and qEL7Ye478 with at least three biological replicates to measure endogenous hormone levels. Each sample was weighed and ground to powder in liquid nitrogen. Approximately 100 mg powder was added to 1 mL of 1-propanol/water/concentrated HCl (2/1/0.002, v/v/v) and vortexed for 30 min at 4 °C. Then 1 mL methylene chloride (CH2Cl2) was added and vortexed for 30 min at 4 °C. After centrifugation at 13,000 × g for 10 min at 4 °C, the lower layer (around 1 mL) was transferred to a new tube and dried under a stream of nitrogen. The dried samples were dissolved in 200 µL of methanol/formic acid (1/1, v/v), filtered through a 0.45 μm membrane, and transferred to sample vials for analysis in a HPLC-MS/MS system (QTRAP® 6500+ LC-MS/MS System, SCIEX) consisting of HPLC and QTRAP 6500 system. Indole-3-acetic acid (IAA) and jasmonic acid (JA), including isoleucine conjugate jasmonyl-isoleucine (JA-Ile), JA precursor 12-oxophytodienoic acid (OPDA)63,64, were measured at National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University (Wuhan, China). The contents of IAA and JA were determined by comparison of the response to the internal standards (mol) added during extraction to the ear sample components. The hormone loss during sample preparation and chromatography was corrected by the addition of internal standards during extraction, then combined with the weight of the sample to calculate ng/g fresh weight65.
Evaluation of grain yield-related traits
The phenotypes of ZmACO2 knockout lines, ZmACO2 promoter edited lines, ZmACO2 overexpression lines, and their corresponding wide-type sibling controls were investigated at Ezhou (30°N, 114°E) or Sanya (18°N, 109°E) in 2019, and Sanya (18°N, 109°E) in 2020. To evaluate alleles in different genetic backgrounds, a total of 13 lines, including 5 HapSL17 lines and 8 HapYe478 lines, were crossed to both qEL7SL17 and qEL7Ye478, respectively. The 26 hybrids were grown at Ezhou (30°N, 114°E) in 2018 spring. We also separately crossed the aco2-cr1 line and its wild-type sibling to six inbred lines comprised of three HapSL17 lines and three HapYe478 lines. The 12 hybrids were grown at Ezhou (30°N, 114°E) in 2019, Xiangyang (30°N, 112°E) and Zhangye (39°N, 100°E) in 2020. The field experiment followed a randomized block design with three replicates. Each plot consisted of 11 individuals grown in a single row of 3 m in length, spacing of 0.3 m between plants, and 0.6 m between rows. Eight to ten competitive individuals were harvested in each plot, and subsequently air-dried to measure the ear length (cm), kernel number per row and ear weight (g), and grain yield per ear (g). The difference significance was calculated using a two-tailed, two-sample Student’s t-test.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This work was supported by the National Key Research and Development Program of China (2016YFD0100404), the National Natural Science Foundation of China (91935305, 31871628), the National Science Foundation (IOS-1546837 and 2129189 to D.J.), and Office of China Postdoctoral Affairs Fellowship (Fellowship to L.L.). We are grateful to Prof. Ping Yin (National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University) for his help with protein expression and purification, and are also grateful to Xingrong Wang and Yongsheng Li (Institute of Crop Sciences, Gansu Academy of Agricultural Sciences) for their assistance in phenotype evaluation. We are also grateful to Penelope Lindsay (Cold Spring Harbor Laboratory) for help in paper editing.
Source data
Author contributions
Z.Z., L.L. and D.J. conceived and designed the experiments. Q.N., Y.D., Y.L., X.S., H.J., R.Z., and J.Z. performed the QTL mapping. Q.N., L.L., and H.J. performed the association mapping. Q.N., Y.J., and F.Y. analyzed the gene expression. Y.J. designed the CRISPR sgRNAs and prepared the constructs for maize transformation. Q.N. performed ZmACO2 function analysis and transcriptome analysis. L.L. prepared the figures and together with Q.N. and Y.J. L.L. wrote the paper. All authors read and approved the paper.
Data availability
Source data are available. The genetic materials that support the findings of this study and raw data used for hormone quantification are available from the corresponding authors upon request. The RNA-seq datasets are available from the National Center for Biotechnology Information, the BioProject and SRA accession numbers are [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA705033] and SRR13787130 - SRR13787135. Source data are provided with this paper.
Competing interests
The authors declare no competing interests.
Footnotes
Peer review informationNature Communications thanks Bram Van de Poel and Feng Tian for their contribution to the peer review of this work. Peer reviewer reports are available.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Qiang Ning, Yinan Jian.
Contributor Information
David Jackson, Email: jacksond@cshl.edu.
Lei Liu, Email: lliu@cshl.edu.
Zuxin Zhang, Email: zuxinzhang@mail.hzau.edu.cn.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-021-26123-z.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Source data are available. The genetic materials that support the findings of this study and raw data used for hormone quantification are available from the corresponding authors upon request. The RNA-seq datasets are available from the National Center for Biotechnology Information, the BioProject and SRA accession numbers are [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA705033] and SRR13787130 - SRR13787135. Source data are provided with this paper.