Abstract
Mutations at the LYS3 locus in barley have multiple effects on grain development, including an increase in embryo size and a decrease in endosperm starch content. The gene underlying LYS3 was identified by genetic mapping and mutations in this gene were identified in all four barley lys3 alleles. LYS3 encodes a transcription factor called Prolamin Binding Factor (PBF). Its role in controlling embryo size was confirmed using wheat TILLING mutants. To understand how PBF controls embryo development, we studied its spatial and temporal patterns of expression in developing grains. The PBF gene is expressed in both the endosperm and the embryos, but the timing of expression in these organs differs. PBF expression in wild-type embryos precedes the onset of embryo enlargement in lys3 mutants, suggesting that PBF suppresses embryo growth. We predicted the down-stream target genes of PBF in wheat and found them to be involved in a wide range of biological processes, including organ development and starch metabolism. Our work suggests that PBF may influence embryo size and endosperm starch synthesis via separate gene control networks.
Keywords: High lysine, PBF, Large embryo, Shrunken endosperm
Abbreviations: (DAF), Days after flowering; (DOF), DNA binding with one zinc finger; (PBF), Prolamin-box binding factor; (TILLING), Targeting induced local lesions in genomes; SIFT), Sorting intolerant from tolerant
Graphical abstract
Highlights
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LYS3 encodes a transcription factor called Prolamin Binding Factor (PBF) that is expressed in grains only.
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Wheat and barley LYS3/PBF mutants have enlarged embryos suggesting that this gene suppresses embryo growth.
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The predicted targets of wheat PBF are involved in a wide range of biological processes, including organ development.
1. Introduction
In the 1960–70s, in an attempt to improve the lysine content of barley (Hordeum vulgare L.) for animal feed, mutagenized barley germplasm at the Risø National Laboratory, Denmark, was screened for lysine content and a number of high-lysine (lys) mutants were identified (Doll, 1976). The lys mutant with the highest lysine content (44 percent higher than wild type) was Risø1508 (lys3a) (Ingversen et al., 1973). In addition to lys3a, there are three other barley lines with mutations at the same locus: Risø18 (lys3b), Risø19 (lys3c) and M1460 (lys3d) (Munck, 1992) (Supplementary Table S1). All four lys3 mutations are recessive.
Studies have shown that the endosperm of lys3 mutants, like that of most other high-lysine barley mutants, contains less starch and lysine-poor protein (hordein), but has more lysine-rich protein and free lysine (Ingversen et al., 1973). However, uniquely amongst high-lysine barley mutants, the embryos of all four lys3 mutants are larger than normal (Tallberg, 1977; Deggerdal et al., 1986; Cook et al., 2018). Most of the barley lys mutants, including those known to have lesions in genes encoding components of the starch biosynthesis pathway, have reduced embryo weight (as well as shrivelled-endosperm and reduced starch content; Cook et al., 2018). The enlargement of the embryos in lys3 mutants is therefore a specific response to mutation at the LYS3 locus and not due to the diversion of resources from the shrivelled endosperm to the embryo. As well as increased size, the embryos of lys3 mutants have higher-than-normal starch content (Deggerdal et al., 1986) and larger-than-normal cells in the scutellum (Deggerdal et al., 1986). The mutant embryos also show reduced dormancy (Cook et al., 2018).
Risø1508 (lys3a) has been the subject of a breeding programme to improve the nutritional quality of barley, particularly for pig feed (Munck and Jespersen, 2009). Animal feeding trials, using the Risø1508-derived lines Piggy and Lysimax, showed that lys3a mutant lines are a more effective source of protein for maximum growth rate in pigs than the wild-type barley varieties from which they are derived (Gabert et al., 1996). However, the success of Risø1508-derived barley lines as animal feed is hampered by their reduced starch content which leads to low grain weight and consequently to low yield.
To separate the favourable (nutritional enhancements) and unfavourable (yield depression) traits associated with lys3 mutations, it is necessary to identify the gene responsible and then to understand how it functions in developing embryos and endosperm. We report here the identification of the LYS3 gene by genetic mapping using embryo size as the selection phenotype. Whilst our work on this was in progress, the gene underlying the LYS3 locus was independently identified by Moehs et al. (2019) using variation in hordein content as the selection phenotype. Both studies agree that LYS3 encodes a previously-identified and well-studied transcription factor in barley: prolamin-box binding factor (PBF). To understand PBF function, we studied its gene expression patterns in barley and found that contrary to previous reports (Mena et al., 1998, 2002), PBF is expressed in developing embryos as well as in the endosperm. The emphasis of our current work is to identify the down-stream target genes of PBF and here we present our initial studies of its predicted targets in wheat.
2. Materials and methods
2.1. Barley germplasm
Grains of Bomi, Morex and Risø1508 were obtained from the Germplasm Resources Unit, John Innes Centre, Norwich, UK and Risø18, Risø19, M1460 and Minerva were kindly supplied by Birthe Møller Jespersen, University of Copenhagen, Denmark.
2.2. Plant growth
For mapping experiments, individual grains were germinated in Petri dishes on moist filter paper. After over-night incubation at 4 °C, plates were transferred to room temperature. When roots and shoots were established, each seedling was transplanted into a 1 L pot containing Levington M2 compost (Scotts Professional, Ipswich, UK) and grown in a glasshouse. In winter, additional lighting was provided by sodium lamps for 16 h per day and temperatures were maintained between 15 °C (night) and 20 °C (day). In summer, plants were grown in a glasshouse under ambient conditions.
Wheat TILLING mutants were sown directly into M2 compost, incubated at 4 °C for 3 days and then transferred to a glasshouse with a 22-h photoperiod and temperatures of 21 °C (night) and 18 °C (day). Supplementary lighting was provided by a mixture of high-pressure sodium lamps and both far red and white LED lights (Conviron, Winnipeg, US). These growth conditions are chosen to promote rapid growth and allow the cycling of plants through several generations in the minimum time (ie. speed-breeding).
2.3. Analysis of grain and embryo development
Anthesis occurred whilst the ear was enveloped in the flag leaf so the exact day of anthesis was difficult to determine without damaging the developing spike. Accordingly, flowering time was defined as the day on which the awns of the developing ear protruded more than 1 cm above the leaf sheath and grain/embryo age was measured in days after flowering (DAF).
2.4. DNA extraction
For barley genotyping, DNA was extracted as follows: leaf material was harvested at seedling stage to 1.5-ml tubes each containing a 5-mm diameter steel ball and frozen at −80 °C. Frozen leaf material was homogenised using a Geno/Grinder (SPEX SamplePrep LLC) and then 600 μl of extraction buffer (200 mM Tris pH 7.5, 250 mM NaCl, 25 mM EDTA, 0.5% [w/v] SDS) was added. The homogenised leaf material was incubated at 65 °C for 1 h. Leaf debris was pelleted by centrifugation and the supernatant was transferred to a fresh 1.5-ml tube, mixed with an equal volume of isopropanol and centrifuged. The pellet was washed with 500 μl 70% [v/v] ethanol and resuspended in 200 μl H2O. DNA was quantified using a spectrometer (NanoDrop 1000, Thermo Scientific) and the concentration adjusted to 10 ng/μl.
For wheat genotyping, DNA was extracted from seedling leaf material using the method of Fulton et al. (1995).
2.5. Chromosome sequencing
For each barley line, suspensions of intact mitotic metaphase chromosomes were prepared from synchronized root tip cells of barley seedlings as described by Lysák et al. (1999). Chromosomes in suspension were stained with 2 μg ml−1 DAPI (4’, 6-diamidino-2-phenylindole) and chromosome 5H was sorted using a FACSAria II SORP flow cytometer and sorter (Becton Dickinson Immunocytometry Systems, San José, USA). Purity in the sorted 5H fractions was determined microscopically after FISH with a probe for GAA microsatellite (Kubaláková et al., 2003). DNA of the sorted chromosomes was purified and amplified by multiple displacement amplification according to Šimková et al. (2008). Three independent amplification products were combined in each cultivar to reduce amplification bias.
The samples of pooled amplified chromosomal DNA were subjected to Illumina HiSeq2500 sequencing (The Genome Analysis Centre, Norwich, UK; now the Earlham Institute). Paired-end read size was 250 bp for the wild-type samples and 125 bp for the mutant samples. The total number of paired-reads obtained was 172,974,201 (Bomi), 252,692,421 (Risø1508) and 226,936,729 (Risø19). Data were submitted to the European Nucleotide Archive (www.ebi.ac.uk) with accession number PRJEB33709.
2.6. Genotyping the mapping population
The Bomi chromosome sequencing data was assembled using the published Morex genome sequence (as described below for MutChromSeq). Genes flanking the LYS3 locus with SNPs between Bomi and Morex were selected for KASP marker design. For primer sequences see Supplementary Table S2A. Genotyping was performed on a Quant Studio 7 (Applied Biosystems) using KASP technology (LGC) following the manufacturers’ instructions.
2.7. Determination of embryo size
For fine mapping in barley, the embryo phenotype of recombinant lines was visually determined and categorized as normal or large embryo. For determination of relative embryo dry weight, all barley or wheat plants for each experiment were grown together in one batch and grains were harvested at maturity. To extract the embryos, grains were soaked overnight in sterile water at 4 °C in the dark and then dissected into embryo and non-embryo portions. Both portions were dried to constant weight by heating in an oven at 65 °C for 3 days. Relative embryo weight (%) = (embryo dry weight/(embryo + non-embryo dry weight)) x 100.
2.8. Identification of a candidate gene using MutChromSeq
The chromosome sequencing data was analysed using the MutChromSeq pipeline according to Steuernagel et al. (2017). The raw data were trimmed using sickle (https://github.com/najoshi/sickle) with default parameters. Trimmed data from wild types Bomi and Minerva were assembled using CLC Assembly Cell (https://www.qiagenbioinformatics.com/products/clc-assembly-cell/), version 5.1 with default parameters. Trimmed data from mutants and wild types were mapped to wild-type assemblies using bwa sampe (Li and Durbin, 2009), version 0.7.12 with default parameters. Further processing of mappings was done using samtools (http://www.htslib.org/) version 0.1.19. For running MutChromSeq, we used release 2 (https://github.com/steuernb/MutChromSeq/releases/tag/2), which introduces the filtering of contigs using a mapping interval, as described in Dracatos et al. (2019). These sequences and those of the wild-type controls have been submitted to GenBank (accession numbers: MN715383, MN715384, MN715385, MN715386, MN715387).
2.9. Analysis of barley PBF/LYS3 genes
The SNP mutations in the PBF/LYS3 genes that were identified by chromosome sequencing were confirmed by PCR amplification and Sanger sequencing. The primer sequences and PCR conditions are given in Supplementary Table S2B. Mutations in the mapping lines were confirmed using KASP assays (Supplementary Table S2C).
2.10. Large-embryo TILLING mutants of wheat
Lines of the hexaploid wheat cultivar Cadenza were selected from the in silico wheat TILLING resource (www.wheat-tilling.com) (Supplementary Table S2D). The supplied seed was sown, pairs of homozygous mutant lines were selected and cross-pollinated, and the resulting F1 plants were confirmed to be heterozygous. A homozygous triple mutant was constructed by crossing Cadenza0903 (TaPBF–B1) to Cadenza0904 (TaPBF-D1) and homozygous F2 double mutants were then crossed to Cadenza1807 or Cadenza1553 (TaPBF-A1 mutants).
2.11. Analysis of expression by reverse transcription PCR
Tissue was harvested, weighed, frozen in liquid nitrogen and stored at −20 °C. Total RNA was extracted using Tri Reagent (Sigma Aldrich, UK) according to the manufacturer's instructions, its concentration was measured with a spectrometer (NanoDrop 1000, Thermo Scientific) and it was stored at −80 °C. An aliquot containing 4 μg RNA was treated for 45 min with 2 μl of DNase RQ1 (1 μg/μl) at 37 °C (Promega, UK), and purified using an RNAeasy spin column (Qiagen, UK). cDNA was prepared from 0.5 μg RNA using a SuperScript III reverse transcriptase kit and oligo (dT)18 primers (Thermo Fisher Scientific, UK) according to the manufacturer's instructions and stored at −20 °C prior to PCR. The primer sequences and PCR conditions are given in Supplementary Table S2E.
2.12. Analysis of expression by in situ hybridization
Developing barley grains were harvested and processed for mRNA in situ hybridization as described in Opanowicz et al. (2011). The probe template consisted of a PBF cDNA fragment amplified with gene-specific primers from a barley grain cDNA library (primer sequences are given in Supplementary Table S2F). For amplification of the antisense probe, a T7 polymerase promoter sequence was attached to the 3′ end of the reverse primer. For amplification of the sense probe, a T7 promoter sequence was attached to the 5’ end of the forward primer. The amplified products were transcribed in vitro with T7 RNA polymerase (Bioline, UK).
2.13. Downstream targets of wheat PBF
The promotor regions (−2 kb) of 29 wheat starch biosynthesis genes were searched for sequences conforming to the consensus prolamin and pyrimidine binding sequences (TGTAAAG and CCTTTT, respectively). The predicted TaPBF downstream target genes were investigated using the RefSeqv1.0 wheat genome assembly and associated wheat gene networks. One network (referred to as the GENIE3 network) had been constructed to predict transcription factor targets using 850 RNA-seq samples (Ramírez-González et al., 2018) and four separate co-expression (Weight Gene Correlation Network Analysis, WGCNA) networks for grain, leaf, root and spike tissues were used to identify co-expressed genes (Ramírez-González et al., 2018; Langfelder and Horvath, 2008). Gene ontology term enrichment analysis was performed as described in Ramírez-González et al. (2018) using GOseq (https://bioconductor.org/packages/release/bioc/html/goseq.html).
3. Results
3.1. Fine mapping LYS3 identified a 64-gene region on chromosome arm 5HL controlling embryo size
Our previous work suggested that the LYS3 gene in barley controls embryo size. To test this and to identify the LYS3 gene, we developed a mapping population by crossing each of the three Risø lys3 large-embryo mutants to Morex, a cultivar with normal embryo size and with available genome sequence data. Following self-pollination, the F2 grains were genotyped with polymorphic markers in genes close to the LYS3 locus on chromosome arm 5HL. Lines with chromosomal recombination points close to LYS3 were selected and allowed to self-pollinate. No lines with recombination events close to lys3 were found for progeny from the Risø18 x Morex crosses and so further work involved progeny from crosses between Risø19 and Risø1508 only. Homozygous recombinant lines (and controls) were selected from the progeny for further genotypic and phenotypic analysis.
To design new markers for genotyping within the region of interest, we purified by flow cytometric sorting the 5H chromosomes from both lys3 mutants and the parental control cultivar, Bomi, and we sequenced DNA amplified from them using Illumina HiSeq2500. The sequencing data was assembled using the MutChromSeq pipeline according to Steuernagel et al. (2017), and single nucleotide polymorphisms (SNPs) in the region of interest were identified. These SNPs were used to design KASP primers for further genotypic analysis (Supplementary Table S2).
To phenotype the homozygous recombinant lines, we first assessed embryo size visually (Table 1; Fig. 1A). The phenotype of selected critical lines was also assessed by measurement of relative embryo weight and β-amylase activity (Fig. 1B). In our previous work, we showed that all four lys3 mutants had increased absolute and relative embryo weights (Cook et al., 2018). When tested again in different growth conditions (Fig. 2A), although the relative embryo size was consistently increased for all lys3 mutants, the increase in absolute embryo weight was significant for Risø1508 and M1460 only. For this reason, we used the relative embryo weight to phenotype the critical mapping lines. We also used β-amylase activity to phenotype these critical lines because it is known to be strongly affected by lys3 mutations (Allison, 1978).
Table 1.
The visual phenotyping together with the genotyping data suggested that the gene that is responsible for the large-embryo phenotype lies between HORVU5Hr1G048110 and HORVU5Hr1G048950 (Table 1, Fig. 1A). Quantitative measurement of relative embryo size in critical lines confirmed the visual phenotyping results (Fig. 1B). The embryo weights for lines visually assessed as ‘mutant’ were significantly greater than the weights of those assessed as ‘wild-type’ (p < 0.05, Student's t-test). The phenotyping results for β-amylase activity were less clear due to a large amount of variation between the values within each group. Although collectively, the large-embryo lines had lower β-amylase activity than the wild-type lines, not all of the comparative differences between individual mutant and wild type lines were statistically significant (Fig. 1B).
3.2. LYS3 encodes the transcription factor, PBF
To identify the gene responsible for controlling embryo size within the region of interest identified by mapping, we isolated and sequenced the 5H chromosome of the two other lys3 mutants, Risø18 and M1460 and from an additional wild-type line, Minerva which is the parent of M1460. This sequencing information was combined with that of the three lines sequenced previously and bioinformatically assessed using a method based on MutChromSeq (Steuernagel et al., 2017). Only one gene in the region of interest (Fig. 1C) had lesions in all four mutant lines relative to the wild-type controls (Fig. 1D) and that was HORVU5Hr1G048700 which encodes the PBF transcription factor.
The PBF genes from all four lys3 mutants were examined and all contained defects likely to be deleterious (Supplementary Table S1 and Fig. 1D). The sequences of three of the four lys3 PBF alleles are disrupted by SNPs. Risø1508 and M1460 both have the same SNP (A173T) which causes an amino acid substitution (Q58L) in the DOF (DNA binding with one zinc finger) DNA binding domain, consistent with Moehs et al. (2019). The glutamine residue, Q58 is highly conserved amongst orthologous proteins (Ensembl plants), with 27 out of 28 sequences examined having glutamine in this position. Risø19 has a single nucleotide polymorphism (G109T) which results in a nonsense mutation (E to STOP), which would prevent production of a full-length protein. In Risø18, various lines of evidence suggest that the entire PBF gene together with several additional genes on either side are deleted. Firstly, analysis of the chromosome 5H sequence data for Risø18 showed that sequence coverage around PBF was lacking (data not shown). Secondly, PBF could not be amplified by PCR with Risø18 DNA as template (Supplementary Fig. S1). The presence of a large deletion around LYS3 may also explain why we were unable to find any recombination close to this locus in the mapping lines derived from Risø18 (see 3.1).
3.3. Wheat PBF mutant grains have large embryos
To confirm that PBF is the gene responsible for controlling embryo size, we selected wheat cv. Cadenza TILLING lines (www.wheat-tilling.com) each affected in one of the wheat PBF homoeologs (TraesCS5A02G155900, TraesCS5B02G154100 and TraesCS5D02G61000) (Supplementary Table S2D). For PBF-A, no nonsense (premature termination codon) mutations were available and so we selected two lines (Cadenza1533 and Cadenza 1807) with missense mutations (F48Y and T46I, respectively) in the DOF domain that are likely to be deleterious (SIFT score = 0.00). For the B- and D-genome PBF genes, we selected lines with nonsense mutations (Cadenza0903, Cadenza0904, respectively). Two triple mutant lines, Line 1 and Line 2, were created that contained the same B- and D-genome nonsense mutations but different A-genome missense mutations (Fig. 3A). Lines 2A and 2B contain the same three PBF mutations but were derived from different F1 grains.
Grains and embryos from the triple mutant plants, wild-type sibling plants and Cadenza were compared (Figs. 2B and 3). This showed that the grains of all TILLING lines (both wild-type and mutant) were more shrivelled than those of the non-mutant parent, Cadenza grown at the same time (Fig. 2B). We assume that the shrivelled appearance of the wild-type TILLING lines is due to mutations other than those in PBF.
The Line 1 triple mutant grains and embryos were indistinguishable from wild-type sibling controls in appearance and weight (Figs. 2B and 3). We assume that the A-genome missense mutant (F48Y) used to create Line 1 (Cadenza1533) had no deleterious impact on PBF functionality. In contrast, both Lines 2A and 2B (using Cadenza1807 as the A genome missense mutant, T46I) had increased absolute and relative embryo weights compared to their wild type sibling controls and the grains were more shrivelled than their wild-type sibling controls (Fig. 2B and 3). Thus, in wheat as in barley, PBF suppresses embryo growth.
3.4. Patterns of expression of PBF in barley
The Barley eFP Browser (www.bar.utoronto.ca/efp_barley) showed that PBF (HORVU5Hr1G048700) in cv. Morex is expressed in the developing grains (caryopsis) (Fig. 4A). Data for the developing embryo are available for one time point only: 22 DAF. PBF is expressed in the embryo at this time point, but at a low level compared with its expression in the rest of the caryopsis. PBF expression in other tissue types is very low or absent. A similar pattern of expression was seen for wheat cv. Azhurnaya. The wheat eFP Browser (www.bar.utoronto.ca/efp_wheat; Ramírez-González et al., 2018) showed that expression for all three homoeologs was strong in the endosperm and that, for the one stage of development for which there is data, there was no expression in the embryo.
To compare with the data available for developing Morex embryos, and to expand upon it, the pattern of expression of PBF in developing embryos of the LYS3 wild type, Bomi was determined using RT-PCR (Fig. 4B). Expression of PBF was detected in embryos at 23 and 26 DAF but the expression at 17 and 20 DAF was low and comparable to that seen in some of the control reactions suggesting that it is expressed at higher levels after 20 DAF. In comparison, PBF expression was detected in the endosperm at all stages of development tested. To investigate the temporal and tissue specific patterns of expression of PBF in young developing barley grains of cv Bomi further, we used in situ hybridization (Fig. 4C). This showed that at 8 DAF, PBF is expressed intensely in starchy endosperm cells and sparsely in aleurone cells. In the embryo at 12 DAF, PBF is expressed in the scutellum, the coleoptile and the tip of the coleorhiza. Thus, even though using RT-PCR, expression of PBF in the embryo was not detectably different from that in the controls at the earliest stages (17 and 20 DAF; Fig. 4B), in situ hybridization showed that PBF is expressed in embryos as early as 12 DAF (Fig. 4C).
To determine when during grain development the suppression of embryo growth occurs, we compared the fresh weights of developing Bomi embryos with those of the lys3 mutant Risø19 (Fig. 4D). This showed that lys3 mutant embryos were significantly larger than wild type embryos only after 23 DAF (Student's t-test, p = 0.01). Thus, in wild-type embryos, the onset of PBF expression precedes the suppression of embryo growth.
3.5. In silico prediction of the downstream targets of wheat PBF
To understand how mutations in PBF affect both endosperm and embryo development and how these might be manipulated individually, we investigated the targets of this transcription factor. PBF is known to activate or repress the transcription of a number of genes by binding to specific sequences in their promotor regions called prolamin (TGTAAAG or CTTTACT) or pyrimidine (CCTTTT or AAAAGG) boxes (Mena et al., 1998, 2002). In developing barley endosperm, PBF target genes include B-hordein (Hor2) and trypsin-inhibitor BTI-CMe (Itr1) and in germinating barley grains, cathepsin B-type protease (Al21) and α-Amylase (Amy2/32b) are PBF targets (Mena et al., 1998, 2002). Nothing is yet known about PBF targets in developing barley embryos.
At present, the data and tools available for target gene analysis are more advanced for wheat than for barley. Wheat transcription-factor targets can be predicted using a GENIE3 network, which was created using 850 diverse RNAseq samples from wheat (Ramírez-González et al., 2018). Using the GENIE3 network to predict the downstream targets of the wheat PBF homoeologs, we identified >450 gene targets. We found that these target genes were enriched for a wide range of gene ontology (GO) annotations (Supplementary Fig. S2 and Fig. 5) but the two categories that were the most significantly enriched were organ development and starch metabolism.
To investigate whether PBF directly regulates genes known to be involved in controlling embryo size, we looked at the downstream targets of PBF for homologues of three genes known to give rise to large embryo/small endosperm mutant phenotypes in rice (Oryza sativa L.). The genes examined were GIANT EMBRYO (GE), encoding a cytochrome P450 (CYP78A13) (Nagasawa et al., 2013); BIGE1, encoding a MATE (Multidrug-And-Toxic-compound-Extrusion) type transporter protein (Suzuki et al., 2015); and LARGE EMBRYO, encoding a C3HC4-type RING (Really Interesting New Gene) finger protein of unknown function (Lee et al., 2019). None of these three genes was a predicted target of the wheat PBF ortholog.
To determine whether PBF participates in the same regulatory networks (or modules) as any of the other large-embryo genes (GE, BIGE1 and LARGE EMBRYO), we used co-expression networks built using WGCNA (Ramírez-González et al., 2018) (Supplementary Table S3). For the grain-specific network, the wheat homoeologs of PBF are in module 13, BIGE1 in module 2 and GE in module 2 (B genome) or 9 (A and D genome). The LARGE EMBRYO homoeologs are in module 0, suggesting that the expression of these genes is invariant across all grain samples. Thus, for wheat it is likely that PBF regulates embryo size independently of the other three genes whilst BIGE1 and the B genome of GE both operate within the same regulatory network.
PBF was so named because it was found to recognise a conserved cis-element, the prolamin box, in the promotor regions of prolamin seed storage proteins (Wu and Messing, 2012). In barley, PBF was also shown to bind to the pyrimidine box of genes expressed in aleurone cells during seed germination (Mena et al., 2002). To investigate whether PBF regulates genes involved in starch metabolism by binding to prolamin or pyrimidine boxes in their promotor regions, as is the case for other genes regulated by PBF, we analysed the promotor regions of 27 genes involved in starch synthesis in the endosperm (Supplementary Table S4). This showed that ten of the starch genes have a prolamin box within the 2-kbp upstream regulatory (promotor) region of at least one homoeologue, all 27 genes have a pyrimidine box and 11 genes were predicted by GENIE3 to be downstream targets of PBF. Ten starch genes have both prolamin and pyrimidine boxes of which only four were predicted targets. Seven additional starch genes were predicted targets of PBF and these lacked a prolamin box. Thus, for this limited data set, there is little or no correlation between the presence of the two known PBF regulatory sequences in starch gene promotors and their interactions with PBF as predicted from gene expression studies. Despite its name, PBF, like other transcription factors, probably interacts with a range of DNA regulatory sequences.
4. Discussion
We showed by genetic mapping that the LYS3 gene encodes a transcription factor called Prolamin Binding Factor (PBF), and that one of the many effects of mutations in this gene is an increase in embryo size. All four lys3 alleles have deleterious mutations in the PBF gene (Supplementary Table S1) and wheat TILLING mutants with mutations in PBF also have enlarged embryos (Fig. 3), confirming a role for PBF in determining organ size in Triticeae grains. The LYS3 gene was also identified as PBF independently by Moehs et al. (2019). However, they studied the effect of LYS3 on hordein content in one mutant, lys3a and they did not measure embryo size.
The severity of the effects of lys3 alleles on embryo size varies, with Risø1508 and M1460 having larger embryos than either Risø18 or Risø19 (Fig. 1A). The reasons for this are currently unknown but the two least-severe mutants, Risø18 or Risø19 both lack the PBF protein (due to deletion or nonsense mutations), whilst the two mutants with the largest embryos, Risø1508 and M1460 have the same missense mutation (A173T) affecting their DOF domains. Proteins encoded by genes with missense mutations can be partially defective, rather than entirely absent or entirely defective. It is therefore possible that the missense mutation in Risø1508 and M1460 weakens or eliminates the ability of PBF to bind to DNA, but does not affect its interactions with other regulatory proteins. This hypothesis requires investigation.
Previous studies have shown that PBF is expressed in starchy endosperm and aleurone cells during barley grain development (Mena et al., 1998, 2002) and in the aleurone during germination (Mena et al., 2002) but no expression in developing embryos was detected using Northern blots (Mena et al., 2002). In this study, we confirmed the expression of PBF in starchy endosperm and aleurone cells in developing barley grains. We also showed using RT-PCR and in situ hybridization that PBF is expressed in developing embryos (Fig. 4B and C). PBF expression in the embryo increased during grain development but expression was detected using in situ hybridization prior to the time point when embryo growth in wild-type and mutant grains diverged. These data suggest that control of embryo growth could be mediated by PBF expression in the embryo and not indirectly via its expression in the endosperm. Thus, gene regulation by PBF in embryos may involve a regulatory pathway that is independent from the PBF pathway operating in the endosperm.
To understand the regulatory pathways downstream of PBF in developing Triticeae grains, we used in silico prediction of target genes based on wheat RNAseq data (Ramírez-González et al., 2018; Harrington et al., 2019). This indicated that PBF in developing grains is involved in the regulation of a wide range of processes but the two most significant categories were organ development and starch metabolism (mirroring its principal roles in embryo growth and endosperm starch synthesis, respectively). Other genes known to cause large embryos when mutated in rice were considered as potential downstream targets of PBF but no such interactions were predicted from analysis of published RNAseq data. We also looked for evidence of co-expression of PBF with these other genes in wheat grains. No such evidence was found. Thus, the PBF transcriptional network that controls embryo growth remains unknown. However, it must be noted that the expression data used for this in silico analysis included three embryo samples only (Ramírez-González et al., 2018). More RNAseq data will need to be gathered for developing embryos to test these ideas further.
In maize, as in wheat and barley, there is a PBF gene that regulates starch metabolism suggesting that the regulation of endosperm starch synthesis by PBFs may be a common feature amongst grasses. Maize PBF controls the expression of four starch biosynthetic genes, Sh2 and Bt2 that encode, respectively, the cytosolic large and small subunits of ADP glucose pyrophosphorylase (AGPase); SBEI encoding starch branching enzyme I and Su1 that encodes isoamylase 1. The expression of both AGPase subunit genes was down-regulated in maize PBF RNAi lines whilst the other two genes were up-regulated (Zhang et al., 2016). Orthologs of all four genes in wheat are also predicted target genes of wheat PBF (Supplementary Table S4) suggesting that the PBF transcription factors in maize and the Triticeae species interact with similar sets of downstream genes. However, there is no information to date to suggest that PBF controls embryo size in maize.
Large-embryo size in cereals is associated with increased nutritional value because embryos are rich in protein, vitamins, oil and non-starch carbohydrates. There is also evidence of human health benefits from eating large-embryo rice grain products (Lee et al., 2016; Jung et al., 2017). As wholegrain products are becoming increasingly popular for human consumption, cereal grains with large embryos offer new opportunities for cereal grain improvement. We have shown that barley and wheat with mutations in PBF have enlarged embryos but unfortunately, they also have reduced grain size due to endosperm defects. However, the possibility that the regulatory networks controlled by PBF in the endosperm and embryo are independent provides an opportunity to explore their independent manipulation. Further work is in progress to pursue this idea.
CRediT authorship contribution statement
Beata Orman-Ligeza: Conceptualization, Investigation, Writing - original draft. Philippa Borrill: Formal analysis, Writing - review & editing. Tansy Chia: Investigation, Writing - review & editing. Marcella Chirico: Investigation, Writing - review & editing. Jaroslav Doležel: Supervision, Writing - review & editing. Sinead Drea: Supervision, Writing - review & editing. Miroslava Karafiátová: Investigation, Writing - review & editing. Nicole Schatlowski: Investigation, Writing - review & editing. Charles U. Solomon: Investigation, Writing - review & editing. Burkhard Steuernagel: Formal analysis, Writing - review & editing. Brande B.H. Wulff: Supervision, Writing - review & editing. Cristobal Uauy: Conceptualization, Funding acquisition, Writing - review & editing. Kay Trafford: Conceptualization, Funding acquisition, Project administration, Supervision, Writing - original draft.
Declaration of competing interest
None.
Acknowledgements
This work was supported by the Biotechnology and Biological Sciences Research Council (BBSRC), UK [grant numbers BB/L023156/1 and BB/P016855/1] and an Anniversary Future Leader Fellowship BB/M014045/1 to PB. CUS thanks TETFUND Nigeria for a PhD training grant. JD and MK were supported by ERDF project “Plants as a tool for sustainable global development” (No. CZ.02.1.01/0.0/0.0/16_019/0000827). We thank Zdeňka Dubská, Romana Šperková, Jan Vrána and Jitka Weiserová for sample preparation, chromosome sorting and DNA amplification.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.jcs.2020.102965.
Appendix A. Supplementary data
The following is the Supplementary data to this article:
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