NAL8 encodes a prohibitin that contributes to leaf and spikelet development by regulating mitochondria and chloroplasts stability in rice
BMC Plant Biology volume 19, Article number: 395 (2019)
Leaf morphology and spikelet number are two important traits associated with grain yield. To understand how genes coordinating with sink and sources of cereal crops is important for grain yield improvement guidance. Although many researches focus on leaf morphology or grain number in rice, the regulating molecular mechanisms are still unclear.
In this study, we identified a prohibitin complex 2α subunit, NAL8, that contributes to multiple developmental process and is required for normal leaf width and spikelet number at the reproductive stage in rice. These results were consistent with the ubiquitous expression pattern of NAL8 gene. We used genetic complementation, CRISPR/Cas9 gene editing system, RNAi gene silenced system and overexpressing system to generate transgenic plants for confirming the fuctions of NAL8. Mutation of NAL8 causes a reduction in the number of plastoglobules and shrunken thylakoids in chloroplasts, resulting in reduced cell division. In addition, the auxin levels in nal8 mutants are higher than in TQ, while the cytokinin levels are lower than in TQ. Moreover, RNA-sequencing and proteomics analysis shows that NAL8 is involved in multiple hormone signaling pathways as well as photosynthesis in chloroplasts and respiration in mitochondria.
Our findings provide new insights into the way that NAL8 functions as a molecular chaperone in regulating plant leaf morphology and spikelet number through its effects on mitochondria and chloroplasts associated with cell division.
Rice is the world’s most important cereal crop because it feeds more than 50% of human population every day . Traditionally, tiller number, grain weight, and the number of grains per panicle are considered to be the main factors that determine grain yield . The size and shape of the plant leaf is also an important agronomic trait associated with photosynthetic efficiency . To uncover the molecular mechanisms that determine the balance between leaf size and shape of the source and spikelet numbers in the sink in rice, numerous studies have focused on identifying quantitative trait loci (QTLs) that contribute to these processes. Many genes and pathways have been identified recently, confirming that multiple plant hormone signaling pathways, miRNAs and transcription factors are involved in maintenance of reproductive meristem activity .
Leaf size and leaf rolling are key components in plant architecture associated with crop yield . Abiotic stresses such as temperature, salt, UV radiation and toxic heavy metals can affect leaf morphology and further interfere with the light reception, carbon fixation, carbon assimilation, and photosynthetic rate . Recently, several studies concerning leaf size and shape have been reported in rice [3, 7,8,9,10], highlighting the association between leaf morphology for photosynthesis and rice grain production. In particular, several QTLs associated with grain number and plant development have been identified and characterized in rice [11,12,13,14,15,16,17,18,19,20,21,22]; these genes are involved in cell differentiation and cell proliferation through various phytohormone- mediated signaling transduction.
Prohibitins (PHBs) are ubiquitous and highly conserved proteins in eukaryotes , that exist as complexes comprised of two highly homologous subunits, PHB1 and PHB2. In previously studies, PHB1 was identified as a potential tumor suppressor that contributes to anti-proliferative activity, and PHB2 was identified as a repressor of nuclear estrogen receptor activity, which led to PHBs being identified as potential targets for drug discovery and medical applications . Between 12 and 16 PHBs bind to each other to form a ring-like heterodimer structure in the mitochondrial inner membrane, which serves to stabilize the mitochondrial genome . In addition, an earlier report suggested that prohibitin is indispensable for the activation of the Raf–MEK–ERK pathway by Ras . In Arabidopsis, there are seven conserved PHB genes  that are associated with meristem development. The Arabidopsis PHB3 gene displays multiple functions in ethylene-induced gene expression , nitric oxide (NO) accumulation and response , salicylic acid (SA) biosynthesis induction , quiescent center cell (QC) and distal stem cell (DSC) identity , and root meristem cell proliferation [32, 33]. Furthermore, OsPHB1 was shown to be involved in cell death and senescence through the formation dimers in the defense reaction and programmed cell death (PCD) in rice .
To investigate the molecular mechanisms underlying the regulation of leaf width and grain numbers, we performed an ethyl methanesulfonate (EMS) mutation screen in the indica rice variety ‘TeQing’ (TQ), and isolated a narrow leaf-width and reduced grain-number mutant, which we named narrow leaf 8 (nal8). We characterized NAL8, a gene that encodes a prohibitin 2α subunit that functions as a molecular chaperone in rice. Transgenic assays confirmed that NAL8 is responsible for controlling leaf width and grain number in rice. Moreover, chloroplastic ultrastructure and the subcellular structure of leaf vascular bundles were severely altered in the nal8 mutant, suggesting that NAL8 is involved in the regulation of photosynthetic efficiency and cell division. RNA-sequencing (RNA-seq) and proteomics analysis demonstrated that NAL8 is an important regulator of photosynthesis and respiration, and that it possesses the potential to improve yield in rice breeding programs.
Characterization of the nal8 mutant and identification of NAL8
The nal8 mutant was isolated from an EMS mutant library of the elite Oryza sativa indica variety TQ. The mutant displayed reduced leaf width and spikelet number, and slightly reduced plant height (Fig. 1a, b, c). Considering that leaf width is the most significant phenotype of the mutant, we named it nal8. We also measured many plant traits and found that the average plant height, average flag leaf width, and average spikelet number are significantly reduced in nal8 mutant plants compared to TQ (Fig. 1d, e, f). In addition, the average yield and average thousand seed weight are also significantly different between TQ and the nal8 mutant (Fig. 1g, h). Although grain yield in the nal8 mutant is obviously reduced, the seed setting rates of TQ and nal8 mutant plants are similar, indicating that NAL8 is not involved in the fertilization process in rice (Fig. 1i). We then compared the grain size and flag leaf length, and found that there were no differences in average grain width and average flag leaf length compared to TQ (Additional file 1: Figure S1A-E). The phenotypes of nal8 plants suggest that the NAL8 gene plays an essential role in morphogenesis in rice.
To identify the candidate NAL8 gene, we generated an F2 population derived from a cross between the nal8 mutant line and the japonica rice variety ‘Jiahua-1’. The ratio of normal flag leaf width to narrow flag leaf width was close to 3:1, which indicated that nal8 is a recessive single gene mutation. A map-based cloning strategy was used to identify the NAL8 candidate gene. Flag leaf width was the parameter that we used to identify wild type, heterozygous, and homozygous mutant plants. The NAL8 locus was originally mapped to the short arm of chromosome 7 near the centromere, between marker loci 07–30,610 and 07–52,402. Due to the centromere effect (reduced recombination), we used 10,447 F2 plants and developed six different mapping markers, and were able to narrow the mapped region to a 72 kb interval between marker loci NAL8-Q and RM5499 (Fig. 2a). The interval was found to contain 12 open reading frames (ORFs), most of which are transposons and retrotransposons. We sequenced the ORFs and found a single G to A nucleotide transition at position 682 in the candidate gene LOC_Os07g15880. According to the MSU rice annotation database, the candidate gene LOC_Os07g15880 is predicted to encode a mitochondrial prohibitin complex protein 2α subunit. Analysis of the mutant and wild-type sequences suggested that this mutation causes an alanine to a threonine change at amino acid A228T. We then used the SWISS-MODEL website (https://swissmodel.expasy.org/) to predict the protein structure of the NAL8 candidate protein. SWISS-MODEL predicts that the NAL8 candidate protein is capable of forming a homotrimer (Fig. 2b). When the amino acid at position 228 is changed from an alanine to a threonine, a peptide loop in the homotrimer structure is altered. In addition, the predicted protein global quality estimate also changed. We further compared the NAL8 protein with NAL8 homolog proteins from other monocot and dicot plants; NAL8, contains an SPFH prohibitin domain, and the alanine at position 228 appears to be a highly conserved residue (Fig. 2c and Additional file 2: Figure S2). A phylogenetic analysis shows that this protein is conserved in eukaryotes, including mammals, and that NAL8 is closely associated with proteins from other species of Oryza in a clade that contains only proteins from monocots (Additional file 3: Figure S3).
To determine whether the mutation in the NAL8 candidate gene is responsible for the observed mutant phenotype, we performed a complementation test with a DNA fragment from the wild-type line TQ containing the putative promoter region, the entire ORF, and the putative 3′ untranslated region (3′-UTR) of NAL8. This fragment was introduced into the nal8 mutant via Agrobacterium tumefaciens-mediated transformation. We found that the transgenic complementation lines rescued the growth defects in the nal8 plants, including recovery of normal leaf width (Fig. 2d, e, f). In addition, we compared the panicles and grain sizes in plants of TQ, the nal8 mutant, and two individual complementation transgenic lines. The transgenic lines successfully rescued the reduced spikelet number caused by the NAL8A228T mutation (Additional file 4: Figure S4A, B). Other agronomic traits, such as plant height and thousand seed weight, were also restored to wild-type levels in the complemented transgenic lines compared with nal8 (Additional file 4: Figure S4C-H). These results confirm that LOC_Os07g15880 is the NAL8 gene.
NAL8 transgenic plants display consistent phenotypes with nal8 mutant
To further explore the phenotypes of mutations in the NAL8 gene, we used the CRISPR/Cas9 genome editing system to generate NAL8 knockout transgenic plants in japonica rice variety ‘Zhonghua-11’ (ZH11). We obtained two independent CRISPR/Cas9 genome editing knockout lines, and nucleotide sequence alignments showed that one base pair was deleted in NAL8CRISPR #1, and two base pairs were deleted and one base pair was inserted in NAL8CRISPR #2 (Additional file 5: Figure S5). Both mutations result in predicted translational frame shifts that cause missense mutations in the NAL8 protein. The knockout plants displayed similar phenotypes to the nal8 mutant, including a narrow flag leaf, reduced plant height, and fewer spikelets (Additional file 6: Figure S6A-C). Other agronomic traits, such as thousand seed weight, grain size, and tiller number were also significantly different compared with wild type ZH11 (Additional file 6: Figure S6D-K). These results suggest that NAL8 is responsible for these phenotypes in all rice subspecies. Consistent with the phenotypes of the NAL8CRISPR transgenic plants, we constructed RNAi-silenced transgenic lines in the TQ background. The two independently-derived NAL8-silenced lines displayed similar reductions in flag leaf width, together with reduced spikelet number and plant height (Additional file 7: Figure S7). These results indicate that the changes in NAL8 protein amounts and protein structure led to similar plant developmental defects. We also constructed the overexpressing transgenic lines in the ZH11 background in which NAL8 is driven by the CaMV 35S promoter. The NAL8-overexpressing plants did not show obvious differences in plant height and flag leaf width compared with wild-type ZH11 plants (Additional file 8: Figure S8). In contrast, the NAL8OE transgenic lines showed reduced flag leaf length and thousand seed weight, with slightly higher spikelet numbers than in ZH11 plants. These results show that over-expression of the NAL8 gene in transgenic rice plants did not have significant effects on plant development.
We also carefully examined grain shape under the stereo microscope. The grains were smaller because their width was reduced in the NAL8CRISPR transgenic lines (Additional file 6: Figure S6H; Additional file 9: Figure S9A), while the NAL8RNAi transgenic lines had grains that were narrower but longer (Additional file 9: Figure S9B). The NAL8OE transgenic lines had smaller grains compared with ZH11 (Additional file 9: Figure S9C), and the NAL8com transgenic restored the longer grain length and thinner grain width that is characteristic of the nal8 mutants (Additional file 9: Figure S9D). Taken together, the NAL8 gene in the indica variety ‘TeQing’ is responsible for leaf width, spikelet number and grain size in rice.
NAL8 encodes a prohibitin complex 2α subunit and is essential for chloroplastic development
The NAL8 gene (LOC_Os07g15880) is predicted to encode a prohibitin complex 2α subunit. The prohibitin complex has been well studied in yeast, C. elegans, and mammals . Previous studies have suggested that the prohibitin complex assembles into a ring-like macromolecular structure at the inner mitochondrial membrane and is involved in multiple cellular processes. In Arabidopsis, PHB3 is a nucleo-mitochondrial dual-localized protein that maintains genome integrity and cell proliferation in the root meristem through MINICHROMOSOME MAINTENANCE 2 (MCM2) . Another recent study also showed that PHB3 is localized in the chloroplasts . Considering that PHB3 forms complex with other PHBs, we inferred that NAL8 is localized in mitochondria and chloroplasts. We further assayed the expression patterns of NAL8 using qRT-PCR and GUS staining methods, and found that the gene is globally expressed in almost all tissues, a finding that is consistent with a general function in cell surface migration, cell cycle regulation, mitochondrial respiration, cell senescence, and cell death (Additional file 10: Figure S10A-I) [26, 35,36,37,38].
To further explore the changes in ultrastructure in the nal8 mutants, we observed the chloroplasts and mitochondria in wild-type TQ and nal8 mutant cells by transmission electron microscopy (TEM). In TQ, the chloroplastic images showed intact double membrane structures and continuous thylakoids, with normal sized starch granules and plastoglobules (Fig. 3a, b, c, d). However, the sizes of the grana and plastoglobules were significantly reduced in the chloroplasts of the nal8 mutants (Fig. 3e, f, g, h). Furthermore, the grana sacs were thinner, darker, and discontinuous in nal8 chloroplasts, indicating that the structure of the thylakoids in the nal8 mutant is damaged and that photosynthetic efficiency could be diminished. We also observed the mitochondria in TQ and nal8 cells. However, due to the low resolution of the mitochondria, we were not able to obtain clear images of mitochondrial ultrastructure (Fig. 3i, j, k, l). Taken together, our results show that NAL8 is involved in morphogenesis in normal chloroplasts.
NAL8 influences cell proliferation through modulating cell cycle-related gene expression
To further explore the narrow-leaf phenotypes of the nal8 mutants at the subcellular level, we used X-ray microscopy (XRM) to observe the cross-section surface of young leaves from fresh samples of TQ and nal8 seedlings (Fig. 4a, b, c, d). Observation of transverse sections indicated that the number of leaf vascular bundles is increased in nal8 compared with TQ (Fig. 4e). In addition, the nal8 mutant also displayed decreased leaf thickness, and reduced cell number and size in the leaf xylem elements (Fig. 4f, g, h), suggesting that cell division and cell elongation are both affected by the mutated form of the NAL8 protein. We then performed flow cytometry to analyze the cell division rate in root tips. We found that the number of cells with 2C DNA content in the G1 phase was higher in nal8 than in TQ. There were also fewer S phase cells in nal8 than in TQ, and the percentage of G2/M phase cells with 4C DNA content was almost identical in nal8 root tips (Fig. 4i, j). These data indicate that the mutated NAL8 protein disrupts cell proliferation, which leads to severely altered plant morphology. Our conclusion was further supported by qRT-PCR of cell cycle-related genes in TQ and the nal8 mutant. The expression levels of most of these genes were significantly down-regulated in the nal8 mutant (Fig. 4k). In summary, our data suggest that the mutated of NAL8 protein causes a reduction in the expression levels of cell cycle-related genes, and the resulting effects on the cell division profoundly alter leaf width and spikelet structure in the nal8 mutant plants.
NAL8 is involved in the maintenance of chloroplastic and mitochondrial structures, and regulates multiple hormone signaling pathways
Previous studies have shown that prohibitins regulate salicylic acid biosynthesis . We suspected that NAL8 functions as a prohibitin complex subunit and is also involved in hormone signaling regulation networks. Therefore, we measured the levels of multiple endogenous hormones in TQ and nal8 and found that two major plant development-related hormones, auxin and cytokinin, were significantly altered. The indole-3-acetic acid (IAA) levels were higher in nal8 plants than in TQ, while levels of the inactivated form methyl-IAA (Me-IAA) showed the opposite trend (Additional file 11: Figure S11A, B). These data indicate that auxin signaling is over-activated in the nal8 mutant compared to TQ. Consistent with the observed phenotypes, the cytokinin hormones isopentenyladenine (iP) and trans-zeatin (tZ) were significantly reduced in nal8 compared to TQ, which tends to support the reduced cell division status in nal8 (Additional file 11: Figure S11C, D). The levels of other hormones, such as jasmonic acid (JA), salicylic acid (SA), indole-3-carboxylic acid (ICA), and cis-zeatin (cZ) were also measured in TQ and nal8 with no significant differences found (Additional file 11: Figure S11E-H).
We further performed RNA-seq in 7-day-old TQ and nal8 seedling. The experimental group and the control group both consisted of three biological repeats. Sample correlation and principal component analysis (PCA) showed that these two groups were widely separated on the first component axes (PC1), while the repeats within each group were highly correlated (Additional file 12: Figure S12A, B). A volcano plot showed that there were 8876 differentially-expressed genes (DEGs) (5477 and 3399 were up- and down-regulated, respectively) between the mutant group and the control group (Additional file 12: Figure S12C). All DEGs are listed in (Additional file 17: Table S1) in the Supporting Information. A correlation plot also showed that the up-regulated genes were more scattered and that there were more of them compared with the down-regulated genes (Additional file 12: Figure S12D). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that the DEGs were significantly enriched in multiple amino acid biosynthetic and metabolic pathways, together with ribosome components in the nal8 mutants compared with the wild type (Additional file 13: Figure S13A). We also performed Gene Ontology (GO) enrichment of the DEGs, and found that most of them were related to the basic function of the ribosome, mitochondria and chloroplasts (Additional file 13: Figure S13B). All of these results strongly suggest that NAL8 functions in translation and organelle structural stability.
We therefore constructed heatmaps of hormone-related genes and organelle-related genes in TQ and nal8. The heatmap for auxin, brassinosteroid (BR), and cytokinin signaling showed that the expression patterns for many phytohormone signaling and transduction genes are changed in the nal8 mutant, which indicates that NAL8 may affect plant development by interfering with plant hormone signaling transduction (Fig. 5a, b, c). Moreover, expression of the fundamental chloroplast house-keeping genes in nal8 was reduced, leading to aberrant chloroplastic ultrastructure and decreased photosynthetic efficiency (Fig. 5d). Changes also occurred around mitochondria-related genes, causing weakened respiration in the nal8 mutant (Fig. 5e). To further verify our RNA-seq findings, we performed qRT-PCR assays to quantify the relative expression of key respiration-related genes relative expression in TQ and nal8 (Additional file 14: Figure S14A). The results showed that genes for the mitochondrial precursors of ubiquinol oxidase 1a (AOX1a) and ubiquinol oxidase 1c (AOX1c), and also the NAD(P) H dehydrogenases (NDA and NDB3) in nal8 had higher levels of expression than in TQ, suggesting that expressions of these genes in mitochondria were possibly increased to compensate for the loss of NAL8 function. We performed qRT-PCR assays towards chloroplast-related genes. Consistent with RNA-seq results, almost all chloroplast-related gene expressions are decreased in nal8 mutant (Fig. 5d) (Additional file 14: Figure S14B), indicating the chloroplast functions are severely damaged in nal8 mutant. We also performed qRT-PCR assays of BR-related genes, which showed that the relative expression of many BR transduction genes was altered, suggesting that NAL8 also be involved in BR signaling (Additional file 14: Figure S14C). Taken together, the endogenous hormone levels and RNA-seq results indicate that the NAL8 gene is involved in signaling for multiple plant hormones as well as normal mitochondria and chloroplasts function.
NAL8 alters protein composition in mitochondria and chloroplasts and involves normal nitric oxide maintenance
To determine exactly how NAL8 alters mitochondria and chloroplasts, we performed a proteomic analysis on TQ and the nal8 mutant. We used young seedlings of TQ and the nal8 mutant that were grown under conditions similar to those used in the RNA-seq assays. We identified 570 different proteins were up-regulated and 298 different proteins that were down-regulated in TQ compared with the nal8 mutant (Additional file 15: Figure S15A). All proteins identified by proteomics and the differential protein results are given in (Additional file 18: Tables S2 and Additional file 19: Table S3). It was obvious that the differentially-occurring proteins were scattered widely in the volcano plot, indicating that the nal8 mutation causes tremendous changes in the expression of these proteins (Additional file 15: Figure S15B). KEGG pathway analysis in TQ showed that the up-regulated proteins were enriched in ribosome, carbon metabolism, tricarboxylic acid cycle (TCA cycle), and pyruvate metabolism pathways (Fig. 6a). Consistent with the up-regulated protein enrichment results, the down-regulated proteins were enriched in ribosome, carbon metabolism, TCA cycle, and “carbon fixation in photosynthetic organisms” pathways (Fig. 6b). These pathways are mainly present in mitochondria and chloroplasts, confirming that NAL8 is involved in protein homeostasis in mitochondria and chloroplasts. We also selected several differentially expressed mitochondrial proteins from the proteomics results and found that the expression of many key mitochondrial protein is significantly reduced in the nal8 mutant (Fig. 6c). A previous study showed that mutation of PHB3 significantly reduced Nitric Oxide (NO) transport in Arabidopsis . We also used the fluorescent dye DAF-FM DA to quantify NO content in TQ and nal8 mutant roots. The results suggest that the NO content is reduced in the nal8 mutant roots (Fig. 6d), supporting the hypothesis that NAL8, as prohibitin 2α, is responsible for NO accumulation in the roots, similar to the results for the phb3 mutant in Arabidopsis. Taken together, these results show that NAL8 and other prohibitin proteins might function as scaffold proteins to stabilize mitochondrial and chloroplastic structure to maintain protein homeostasis and NO accumulation associated with cell metabolism and photosynthesis-related cell activities that contribute to normal plant growth and development.
In summary, the results suggest that the molecular chaperone NAL8, a member of the prohibitin complex, plays crucial roles in leaf width and spikelet number by modulating the stability of mitochondria and chloroplasts in rice. A previous study in rice showed that OsPHB1 is phosphorylated in response to calyculin A, an inducer of defense responses . In Arabidopsis, PHB3, a homolog of NAL8, is involved in multiple functions linking SA signaling, H2O2-mediated NO and ROS signaling, ethylene signaling and even DNA integrity and proliferation in the nucleus [28,29,30,31,32]. Our results provide new leaf morphology and grain number phenotypes caused by a mutation in the NAL8 gene (Fig. 1), suggesting similar molecular mechanisms for the action of PHBs in plants.
Leaf morphology is strongly associated with chloroplastic and mitochondrial development. The morphogenesis of leaf development contains three stages: The initiation of leaf primordium, the establishment of leaf polarity, and the development of leaf margin . Many yellow leaf mutants and aberrant leaf shape mutants have been isolated and characterized , and these phenotypes are due to mutations in genes involved in phytohormone metabolism, cell division, number of veins ionic homeostasis and epigenetic manner. Prohibitins contribute to multiple leaf phenotypes in Arabidopsis; however, in cereal crops, the function of prohibitins has been unclear until now. Moreover, few genes that regulates leaf morphology and grain numbers has been discovered. In this study, we identified nal8, a rice mutant with narrow leaf and reduced grain number (Fig. 1), and generated the CRISPR/Cas9 knockout mutants and RNAi lines to observe the related phenotypes. Although the nal8 mutant, RNAi and CRISPR/Cas9 knockout transgenic lines displayed similar narrow leaf morphology and reduced grain number phenotypes (Fig. 1b and c; Additional file 6: Figure S6B and C; Additional file 7: Figure S7B and C), the other traits, such as leaf length, grain length and width, were not exactly consistent changes. Because the nal8 mutant and RNAi lines were in TQ (indica variety) backgrounds, and the CRISPR/Cas9 knockout lines were in ZH11 (japonica variety) background, we suspected that the rice variety backgrounds also affect on these traits. Previous researches revealed that dysfunctional mitochondrial and chloroplastic structure affect leaf development in Arabidopsis. SLO3, a pentatricopeptide repeat protein that contributes to intron removal of NAD7 encoding an NADH dehydrogenase subunit 7 in mitochondria, also interacts with auxin signaling pathways to regulate the boundary of root apical meristem and leaf shape in Arabidopsis . CRUMPLED LEAF (CRL) gene, encoding a protein localized in the outer membrane of plastids, affects the normal cell division, cell differentiation and plastid division in Arabidopsis. Recent studies revealed that in crl mutants caused chloroplastic dysfunction and multiple cell cycle progression defects in Arabidopsis [41, 42]. The Arabidopsis ARC5 and ARC6, encoding a cyto-plasmic dynamin-related protein and an inner envelope transmembrane protein respectively, contribute to plastid morphology in leaf epidermal pavement cells and stomatal guard cells . These results indicated that dysfunction in mitochondria and chloroplasts disrupted normal cell division leading to leaf development. In our study, we found that organelles (chloroplasts and mitochondria) are altered in nal8 mutants (Fig. 3), and cell division processes are also affected by the mutation in NAL8 (Fig. 4), supporting the notion that PHB3 regulates cell proliferation in the root meristem through MINICHROMOSOME MAINTENANCE 2 . It is possible that other OsPHBs also contribute to cell division processes, leading to normal respiration and photosynthesis in mitochondria and chloroplasts. Based on a phylogenetic tree constructed from alignments of OsPHB and AtPHB protein sequences, the well-studied AtPHB3 protein belongs to the type-I prohibitin class, and NAL8 is a type-II prohibitin (Additional file 16: Figure S16) and its function has yet to be reported in plants. These results suggest potential functional differentiation of the proteins in the two PHB subgroups. In addition, we used RNA-seq and proteomics tools to reveal the changes in transcription and translation levels of genes/proteins in TQ and the nal8 mutant (Figs. 5 and 6), indicating that prohibitin complexes may play important roles in plant development. Phytohormones, such as auxin and gibberellins, have been shown to play essential roles in the determination of leaf size . Our results show that the auxin level in nal8 is higher than in the TQ (Additional file 11: Figure S11A), suggesting a potential compensation effect of the auxin signaling pathway in nal8 mutant plants. Interestingly, the cytokinin levels in nal8 were considerably reduced, supporting the notion that cytokinin and auxin signaling are antagonistic. In rice, the OsCKX2 gene encodes a cytokinin oxidase , and mutation of OsCKX2 results in increased cytokinin levels in apical meristem tissues, leading to increased spikelet numbers and grain number per panicle. Moreover, apical dominance associated with grain number is regulated by auxin and cytokinin in rice. The KNOX family transcription factor shoot meristem-less (STM) and homeodomain-containing transcription factor WUSCHEL (WUS) coordinate shoot meristem development with CLAVATA (CLV) [44, 45]. Overexpressing KNOX genes can rapidly induce the accumulation of IPT, a gene that encodes a key rate-limiting enzyme in the cytokinin biosynthesis pathway , which suggest that cytokinin plays vital roles in shoot meristem development. Moreover, previous studies showed that the chlorophyll content from in vitro apple leaves was positively related with cytokinin treatment , and the CYTOKININ-HYPERSENSITIVE genes CKH1 and CKH2 of Arabidopsis negatively regulated the cytokinin-signaling for cell division and chloroplastic development , supporting the notion that chloroplast function is essential for cell division.
In conclusion, the results of our study suggest that prohibitin family proteins in rice are required for internal homeostasis of mitochondrial and chloroplastic proteins. Our findings shed new light on the function of small molecular chaperones as scaffold proteins involved in the formation of vital organelle structure and cell division processes. Further identification of additional OsPHB family members that target leaf morphology and grain number in rice via the underlying processes of cell division and proliferation will assist modern rice breeding programs by balancing plant abiotic stress capabilities with high grain yield.
Plant materials and growth conditions
The nal8 mutant was obtained from EMS treatment of the Orzya sativa ssp. indica rice variety ‘TeQing’. The M1-generation nal8 mutant was crossed back to TQ to obtain the mutation in an isogenic background. TQ and the japonica rice variety ‘Zhonghua-11’ were used for plant transformation. All plants were cultivated in Shanghai and Hainan under natural growth conditions.
Map-based cloning of NAL8
The japonica variety ‘Jiahua-1’ was crossed with the nal8 mutant to obtain F1 plants. The F1 was self-pollinated to produce an F2 mapping population. To fine-map the NAL8 locus, we designed several new molecular markers from predicted SSRs (Simple Sequence Repeats) and InDels (Insertion and Deletion). NAL8 was originally mapped to a 72 kb (kilo base pairs) region near the centromere on the short arm of chromosome 7 using 10,447 F2 plants. All DNA fragments shown in Figure 2a were amplified from both nal8 and ‘Jiahua-1’ by PCR for map-based cloning. A 2X PCR mix was used to amplify the DNA fragments (Tiangen #KT207). Primer sequences are given in (Additional file 20: Table S4).
Plasmid construction and plant transformation
To perform the genetic complementation assay, we cloned the full-length NAL8 genomic DNA sequencing consisting of 2.5 kb DNA upstream of the NAL8 start codon and 500 bp DNA downstream into the pCAMBIA-1300 binary vector. The 2.5 kb DNA fragment containing the NAL8 promoter region was then cloned into the pCAMBIA-1300-GUSplus vector to generate NAL8Pro::GUS for GUS staining experiments. To generate the CRISPR/Cas9 knockout transgenic plants, we used the CRISPR-GE website (http://skl.scau.edu.cn/) to design gRNA targets and identify the mutated positions . To generate the overexpression transgenic constructs, the full length NAL8 cDNA was amplified from TQ RNA and cloned into the plant binary vector pCAMBIA 1301 under control of the CaMV 35S promoter. To generate the NAL8 knockdown constructs, we designed the target mimic microRNAs using the WMD3 website (http://wmd3.weigelworld.org/cgi-bin/webapp.cgi). The target DNA fragments were then inserted into the pCAMBIA-1306-35SN vector. Agrobacterium tumefaciens-mediated transformation of rice was performed as previously described , using the EHA105 strain for rice transformation. The identities of all DNA constructs were confirmed by sequencing, and all positive transgenic plants and negative controls were selected by PCR amplification of the hygromycin resistance gene. The results of qRT-PCR assays of NAL8 gene expression were also used to evaluate the over-expression and knockdown transgenic lines. To confirm the introduced mutations in the CRISPR/Cas9 knockout plants, we designed specific primers for sequencing the mutated nucleotide positions. All plasmid constructs in this study were generated using NEBuilder HIFI DNA Assembly Master Mix (New England Biolabs, catalog#2621 L). The PCR primer pair sequences were given in (Additional file 20: Table S4).
GUS enzyme staining of NAL8Pro::GUS transgenic plants was performed as described previously . Samples were obtained in the field at the reproductive stage, and were incubated in GUS staining solution at 37 °C overnight. The samples were then washed in 75% ethanol to remove the chlorophyll, and were imaged with a Leica model M205C stereo microscope.
X-ray microscopic observation
TQ and nal8 seedlings were grown in an illuminated chamber for 7 days after germination. Samples were collected and fixed in FAA (50% ethanol, 5% glacial acetic acid, 5% formaldehyde) for 12 h at 4 °C. After the tissue was dehydrated in a graded ethanol series, the samples were thoroughly desiccated in an automated Critical Point Dryer (Leica EM CPD300). Samples were observed with a Zeiss Xradia 520 Versa X-Ray Microscope. XM 3DViewer was used to generate the visual image slices.
RNA extraction and quantitative real-time PCR (qRT-PCR)
Total RNA was extracted from plant tissue samples using the E.Z.N.A.® Total RNA Kit (Omega Bio-Tek, #R6834–1). The RNA was quantified with a GEN5 microplate reader (Bio-Tek). Complementary DNA (cDNA) synthesis was performed using ReverTra Ace® qPCR RT Master Mix with gDNA remover (Toyobo #FSQ-301). qRT-PCR assays were performed on the ABI 7300 Real-Time PCR System (Applied Biosystems) using the Fast Start Universal SYBR Green Master Mix with ROX. The UBQ5 gene expression was used as internal reference to normalize the gene expression data. The 2-ΔΔCT method was used to analyze the expression data . Nucleotide sequences of the PCR primer pairs used in the qRT-PCR assays are given in (Additional file 20: Table S4).
Nucleus isolation and ploidy determination
Isolation of cell nuclei and ploidy measurements were performed as described previously . The root tips of seedlings grown in glass tubes for 3 days after germination were chopped, and the nuclei were isolated and stained in nuclear isolation and staining solution (NPE Systems #7216). The suspension was filtered through a 40 μm nylon filter (Thermofisher #352340), and flow cytometry was performed on a Beckman Moflo cell sorter. Approximately 10,000 nuclei per sample were analyzed. The relative proportions of G1, S, and G2/M phase nuclei were calculated by FCS express 4 software.
Observation of chloroplastic and mitochondrial ultrastructure
We used transmission electron microscopy (TEM) to observe the ultrastructure of chloroplasts and mitochondria as previously described . Young seedling leaves of TQ and nal8 were chopped into 2 mm × 4 mm pieces and fixed in 2% glutaraldehyde solution for 2 h. Then tissue pieces were first washed in 0.1 M PBS and then 5–8 times in distilled water. After dehydration in a graded ethanol series, the samples were soaked briefly in two changes of propylene oxide. Sample were then transferred to propylene oxide and Quetol 812 resin, covered with aluminum foil, and incubated overnight, after which they were embedded in Quetol 812 resin in a plastic flat embedding mold for 2 days. The tissue samples were then sectioned with a diamond knife on an ultramicrotome (70 to 100 nm) and transferred to a copper grid for observation using a Hitachi H-7650 transmission electron microscope.
RNA-seq was performed by Biomarker Technologies Corporation (Beijing, China). We used young seedlings of three independent lines of TQ and the nal8 mutant to generate the RNA libraries for transcriptome sequencing. The NEBNext Ultra™ RNA Library Prep Kit (NEB) was used for Illumina high-throughput sequencing. All the raw data in fastq format was processed using perl scripts. The Q20 and Q30 percentages, the GC-content, and the relative level of sequence duplication were also calculated from the clean data. Pearson’s Correlation Coefficient was conducted to evaluate the repetition correlation in the two samples . Differential expression analysis of two conditions/groups was performed using DEseq . Genes with an adjusted P-value < 0.01 identified by DEseq were considered to be differentially expressed. GO enrichment analysis  and KEGG pathway enrichment analysis  was based on Wallenius non-central hyper-geometric distribution, and KOBAS software was used to test the statistical enrichment of DEGs in the KEGG pathways . Heatmaps were generated using MeV software. We have uploaded the RNA-seq into the NCBI, the NCBI SRA accession number is PRJNA557518.
The proteomics analysis and MS service were performed by Cloud-Seq Biotech Ltd. Co. (Shanghai, China). Samples were collected from three independent young seedlings of both inbred line TQ and the nal8 mutant. Protein samples were digested as previously described . After digestion, the protein fragments were separated by capillary high performance liquid chromatography (μHPLC). The MS machine type is Q-EXACTIVE (Thermo Fisher Scientific, CA, USA). The peptides and their fragments were collected by a full scan and 12 fragment scans. Raw data was analyzed using MaxQuant 126.96.36.199 software . The label-free quantification (LFQ) was obtained with the MaxQuant algorithm . LFQ values were log10 transformed, and quantile standardized using the limma R package software. To find statistically significant differences between the TQ and the nal8 mutant, Two-tailed, Student’s t test was performed, with p-value 0.05 and fold change 2.0 as cutoff . GO enrichment and KEGG pathway analyses were performed similar to the description in the “RNA-sequencing” section above. Heatmaps were generated using MeV software. We have uploaded the proteomic raw data into the iProX , the iProX accession number is PXD015063.
Nitric oxide (NO) detection in roots
Young seedlings of TQ and the nal8 mutant were cultured on 0.5X Murashige and Skoog (MS) medium for 5 days. The roots were incubated in a 10 μM solution of DAF-FM diacetate overnight. After washing in distilled water, the samples were observed with an Olympus FluoView FV1000 laser scanning confocal microscope.
Availability of data and materials
The data sets supporting the results of this article are included within the article and its additional files. The RNA-seq raw data used in this manuscript can be found in database of NCBI (https://www.ncbi.nlm.nih.gov/) under the following accession number: PRJNA557518. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifier PXD015063.
Cauliflower Mosaic Virus
Clustered Regularly Interspaced Short Palindromic Repeats
Distal Stem Cell
False Discovery Rate
fragments per kilobase per million reads
Insertion and Deletion
Kyoto Encyclopedia of Genes and Genomes
Programmed Cell Death
Quiescent Center Cell
Quantitative Trait Loci
Stomatin, prohibitin, flotillin, HflK/C
Simple Sequence Repeats
Transmission electron microscopy
Eckardt NA. Sequencing the rice genome. Plant Cell. 2000;12(11):2011–7.
Xing Y, Zhang Q. Genetic and molecular bases of rice yield. Annu Rev Plant Biol. 2010;61:421–42.
Qi J, Qian Q, Bu Q, Li S, Chen Q, Sun J, et al. Mutation of the rice narrow leaf1 gene, which encodes a novel protein, affects vein patterning and polar auxin transport. Plant Physiol. 2008;147(4):1947–59.
Xu P, Ali A, Han B, Wu X. Current advances in molecular basis and mechanisms regulating leaf morphology in Rice. Front Plant Sci. 2018;9:1528.
Walter A, Silk WK, Schurr U. Environmental effects on spatial and temporal patterns of leaf and root growth. Annu Rev Plant Biol. 2009;60:279–304.
Subashri M, Robin S, Vinod KK, Rajeswari S, Mohanasundaram K, Raveendran TS. Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs. Euphytica. 2008;166(2):291–305.
Fujino K, Matsuda Y, Ozawa K, Nishimura T, Koshiba T, Fraaije MW, et al. NARROW LEAF 7 controls LEAF shape mediated by auxin in rice. Mol Genet Genomics. 2008;279(5):499–507.
Cho SH, Kang K, Lee SH, Lee IJ, Paek NC. OsWOX3A is involved in negative feedback regulation of the gibberellic acid biosynthetic pathway in rice (Oryza sativa). J Exp Bot. 2016;67(6):1677–87.
Cho SH, Yoo SC, Zhang H, Pandeya D, Koh HJ, Hwang JY, et al. The rice narrow leaf2 and narrow leaf3 loci encode WUSCHEL-related homeobox 3A (OsWOX3A) and function in leaf, spikelet, tiller and lateral root development. New Phytol. 2013;198(4):1071–84.
Li W, Wu C, Hu G, Xing L, Qian W, Si H, et al. Characterization and fine mapping of a novel rice narrow leaf mutant nal9. J Integr Plant Biol. 2013;55(11):1016–25.
Ashikari M, Sakakibara H, Lin S, Yamamoto T, Takashi T, Nishimura A, et al. Cytokinin oxidase regulates rice grain production. Science. 2005;309(5735):741–5.
Bai X, Huang Y, Hu Y, Liu H, Zhang B, Smaczniak C, et al. Duplication of an upstream silencer of FZP increases grain yield in rice. Nat Plants. 2017;3(11):885–93.
Bai X, Huang Y, Mao D, Wen M, Zhang L, Xing Y. Regulatory role of FZP in the determination of panicle branching and spikelet formation in rice. Sci Rep. 2016;6:19022.
Huang X, Qian Q, Liu Z, Sun H, He S, Luo D, et al. Natural variation at the DEP1 locus enhances grain yield in rice. Nat Genet. 2009;41(4):494–7.
Huang XY, Chao DY, Gao JP, Zhu MZ, Shi M, Lin HX. A previously unknown zinc finger protein, DST, regulates drought and salt tolerance in rice via stomatal aperture control. Genes Dev. 2009;23(15):1805–17.
Huo X, Wu S, Zhu Z, Liu F, Fu Y, Cai H, et al. NOG1 increases grain production in rice. Nat Commun. 2017;8(1):1497.
Jiao Y, Wang Y, Xue D, Wang J, Yan M, Liu G, et al. Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice. Nat Genet. 2010;42(6):541–4.
Li S, Zhao B, Yuan D, Duan M, Qian Q, Tang L, et al. Rice zinc finger protein DST enhances grain production through controlling Gn1a/OsCKX2 expression. Proc Natl Acad Sci U S A. 2013;110(8):3167–72.
Miura K, Ikeda M, Matsubara A, Song XJ, Ito M, Asano K, et al. OsSPL14 promotes panicle branching and higher grain productivity in rice. Nat Genet. 2010;42(6):545–9.
Xue W, Xing Y, Weng X, Zhao Y, Tang W, Wang L, et al. Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nat Genet. 2008;40(6):761–7.
Yoshida A, Sasao M, Yasuno N, Takagi K, Daimon Y, Chen R, et al. TAWAWA1, a regulator of rice inflorescence architecture, functions through the suppression of meristem phase transition. Proc Natl Acad Sci U S A. 2013;110(2):767–72.
Wu Y, Wang Y, Mi XF, Shan JX, Li XM, Xu JL, et al. The QTL GNP1 encodes GA20ox1, which increases grain number and yield by increasing Cytokinin activity in Rice panicle meristems. PLoS Genet. 2016;12(10):e1006386.
Artal-Sanz M, Tavernarakis N. Prohibitin and mitochondrial biology. Trends Endocrinol Metab. 2009;20(8):394–401.
Thuaud F, Ribeiro N, Nebigil CG, Desaubry L. Prohibitin ligands in cell death and survival: mode of action and therapeutic potential. Chem Biol. 2013;20(3):316–31.
Tatsuta T, Model K, Langer T. Formation of membrane-bound ring complexes by prohibitins in mitochondria. Mol Biol Cell. 2005;16(1):248–59.
Rajalingam K, Wunder C, Brinkmann V, Churin Y, Hekman M, Sievers C, et al. Prohibitin is required for Ras-induced Raf–MEK–ERK activation and epithelial cell migration. Nat Cell Biol. 2005;7(8):837–43.
Van Aken O, Pecenkova T, van de Cotte B, De Rycke R, Eeckhout D, Fromm H, et al. Mitochondrial type-I prohibitins of Arabidopsis thaliana are required for supporting proficient meristem development. Plant J. 2007;52(5):850–64.
Christians MJ, Larsen PB. Mutational loss of the prohibitin AtPHB3 results in an extreme constitutive ethylene response phenotype coupled with partial loss of ethylene-inducible gene expression in Arabidopsis seedlings. J Exp Bot. 2007;58(8):2237–48.
Wang Y, Ries A, Wu K, Yang A, Crawford NM. The Arabidopsis Prohibitin gene PHB3 functions in nitric oxide-mediated responses and in hydrogen peroxide-induced nitric oxide accumulation. Plant Cell. 2010;22(1):249–59.
Seguel A, Jelenska J, Herrera-Vasquez A, Marr SK, Joyce MB, Gagesch KR, et al. PROHIBITIN3 forms complexes with ISOCHORISMATE SYNTHASE1 to regulate stress-induced salicylic acid biosynthesis in Arabidopsis. Plant Physiol. 2018;176(3):2515–31.
Kong X, Tian H, Yu Q, Zhang F, Wang R, Gao S, et al. PHB3 maintains root stem cell niche identity through ROS-responsive AP2/ERF transcription factors in Arabidopsis. Cell Rep. 2018;22(5):1350–63.
Huang R, Shu S, Liu M, Wang C, Jiang B, Jiang J, et al. Nuclear Prohibitin3 maintains genome integrity and cell proliferation in the root meristem through Minichromosome maintenance 2. Plant Physiol. 2019;179(4):1669–91.
Yu Y. Prohibitin shuttles between mitochondria and the nucleus to control genome stability during the cell cycle. Plant Physiol. 2019;179(4):1435–6.
Takahashi A. Hyperphosphorylation of a mitochondrial protein, Prohibitin, is induced by Calyculin a in a Rice lesion-mimic mutant cdr1. Plant Physiol. 2003;132(4):1861–9.
Wang S, Fusaro G, Padmanabhan J, Chellappan SP. Prohibitin co-localizes with Rb in the nucleus and recruits N-CoR and HDAC1 for transcriptional repression. Oncogene. 2002;21(55):8388–96.
Coates PJ, Nenutil R, McGregor A, Picksley SM, Crouch DH, Hall PA, et al. Mammalian prohibitin proteins respond to mitochondrial stress and decrease during cellular senescence. Exp Cell Res. 2001;265(2):262–73.
Fusaro G, Dasgupta P, Rastogi S, Joshi B, Chellappan S. Prohibitin induces the transcriptional activity of p53 and is exported from the nucleus upon apoptotic signaling. J Biol Chem. 2003;278(48):47853–61.
Coates PJ, Jamieson DJ, Smart K, Prescott AR, Hall PA. The prohibitin family of mitochondrial proteins regulate replicative lifespan. Curr Biol. 1997;7(8):607–10.
Uchida N, Kimura S, Koenig D, Sinha N. Coordination of leaf development via regulation of KNOX1 genes. J Plant Res. 2010;123(1):7–14.
Hsieh WY, Liao JC, Hsieh MH. Dysfunctional mitochondria regulate the size of root apical meristem and leaf development in Arabidopsis. Plant Signal Behav. 2015;10(10):e1071002.
Asano T, Yoshioka Y, Kurei S, Sakamoto W, Machida Y, Sodmergen. A mutation of the CRUMPLED LEAF gene that encodes a protein localized in the outer envelope membrane of plastids affects the pattern of cell division, cell differentiation, and plastid division in Arabidopsis. Plant J. 2004;38(3):448–59.
Hudik E, Yoshioka Y, Domenichini S, Bourge M, Soubigout-Taconnat L, Mazubert C, et al. Chloroplast dysfunction causes multiple defects in cell cycle progression in the Arabidopsis crumpled leaf mutant. Plant Physiol. 2014;166(1):152–67.
Fujiwara MT, Yasuzawa M, Kojo KH, Niwa Y, Abe T, Yoshida S, et al. The Arabidopsis arc5 and arc6 mutations differentially affect plastid morphology in pavement and guard cells in the leaf epidermis. PLoS One. 2018;13(2):e0192380.
Warghat AR, Thakur K, Sood A. Plant stem cells: what we know and what is anticipated. Mol Biol Rep. 2018;45(6):2897–905.
Sablowski R. The dynamic plant stem cell niches. Curr Opin Plant Biol. 2007;10(6):639–44.
Jasinski S, Piazza P, Craft J, Hay A, Woolley L, Rieu I, et al. KNOX action in Arabidopsis is mediated by coordinate regulation of cytokinin and gibberellin activities. Curr Biol. 2005;15(17):1560–5.
Dobranszki J, Mendler-Drienyovszki N. Cytokinin-induced changes in the chlorophyll content and fluorescence of in vitro apple leaves. J Plant Physiol. 2014;171(16):1472–8.
Kubo M, Kakimoto T. The Cytokinin-hypersensitive genes of Arabidopsis negatively regulate the cytokinin-signaling pathway for cell division and chloroplast development. Plant J. 2000;23(3):385–94.
Rousseau D, Widiez T, Di Tommaso S, Rositi H, Adrien J, Maire E, et al. Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds. Plant Methods. 2015;11:55.
Hiei Y, Ohta S, Komari T, Kumashiro T. Efficient transformation of rice (Oryza sativa L.) mediated by agrobacterium and sequence analysis of the boundaries of the T-DNA. Plant J. 1994;6(2):271–82.
Guo T, Chen K, Dong NQ, Shi CL, Ye WW, Gao JP, et al. GRAIN SIZE AND NUMBER1 negatively regulates the OsMKKK10-OsMKK4-OsMPK6 Cascade to coordinate the trade-off between grain NUMBER per panicle and grain size in Rice. Plant Cell. 2018;30(4):871–88.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.
Qi P, Lin YS, Song XJ, Shen JB, Huang W, Shan JX, et al. The novel quantitative trait locus GL3.1 controls rice grain size and yield by regulating cyclin-T1;3. Cell Res. 2012;22(12):1666–80.
Wang S, Uddin MI, Tanaka K, Yin L, Shi Z, Qi Y, et al. Maintenance of chloroplast structure and function by overexpression of the Rice MONOGALACTOSYLDIACYLGLYCEROL SYNTHASE gene leads to enhanced salt tolerance in tobacco. Plant Physiol. 2014;165(3):1144–55.
Schulze SK, Kanwar R, Golzenleuchter M, Therneau TM, Beutler AS. SERE: single-parameter quality control and sample comparison for RNA-Seq. BMC Genomics. 2012;13:524.
Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11(10):R106.
Young MD, Wakefield MJ, Smyth GK, Oshlack A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 2010;11(2):R14.
Kanehisa M, Araki M, Goto S, Hattori M, Hirakawa M, Itoh M, et al. KEGG for linking genomes to life and the environment. Nucleic Acids Res. 2008;36(Database issue):D480–4.
Mao X, Cai T, Olyarchuk JG, Wei L. Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary. Bioinformatics. 2005;21(19):3787–93.
Wisniewski JR, Zougman A, Nagaraj N, Mann M. Universal sample preparation method for proteome analysis. Nat Methods. 2009;6(5):359–62.
Cox J, Mann M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol. 2008;26(12):1367–72.
Cox J, Hein MY, Luber CA, Paron I, Nagaraj N, Mann M. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics. 2014;13(9):2513–26.
Giurato G, Nassa G, Salvati A, Alexandrova E, Rizzo F, Nyman TA, et al. Quantitative mapping of RNA-mediated nuclear estrogen receptor beta interactome in human breast cancer cells. Sci Data. 2018;5:180031.
Ma J, Chen T, Wu S, Yang C, Bai M, Shu K, et al. iProX: an integrated proteome resource. Nucleic Acids Res. 2019;47(D1):D1211–7.
We thank Min Shi (Institute of Plant Physiology and Ecology, SIBS, CAS) for technical supports of transgenic assay. We thank Xiaoshu Gao, Xiaoyan Gao, Zhiping Zhang, Jiqin Li and Wenfang Zhao (Institute of Plant Physiology and Ecology, SIBS, CAS) for technical supports. We thank Professor Yaoguang Liu (South China Agriculture University) for donation of CRISPR/Cas9 plasmids. We thank Chunjie Cao (Carl Zeiss) for X-ray microscope observation.
This work was supported by the grants from the Ministry of Science and Technology of China (2016YFD0100902), National Natural Science Foundation of China (31788103), Chinese Academy of Sciences (QYZDY-SSW-SMC023, XDB27010104), the Shanghai Science and Technology Development (18JC1415000) and National Key Laboratory of Plant Molecular Genetics, China. The funding bodies had no role in the design, collection, and analysis, interpretation of data or in writing the manuscript.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure S1. Morphology and statistical analysis of mature grains and leaf length in TQ and the nal8 mutant. (A) Phenotypes of mature grains of TQ and the nal8 mutant. Scale bar = 2 mm. (B) Comparison of the main spikelets from TQ and the nal8 mutant. Scale bar = 2 cm. (C-E) Statistical analyses of average flag leaf length (n = 20 plants) (C), average grain length (n = 20 plants) (D) and average grain width (n = 20 plants) (E) between TQ and the nal8 mutant. Values are given as the mean ± SD. *P < 0.05; **P < 0.01 compared with the TQ control using Student’s t-test (C-E). (PDF 57 kb)
Figure S2. Amino acid sequence alignment of homologous proteins to rice NAL8. The conserved alanine residue at position 228 is enclosed in a red box to show the site of the mutation in the nal8 mutant. The asterisks indicate the highly conserved residues in the proteins from nine plants, three mammals and one insect species. (PDF 668 kb)
Figure S3. Phylogenetic analysis of rice NAL8 and related proteins from plants, animals, and one species of insect. The species names are shown at the ends of the branches. The phylogenetic tree was constructed using the Neighbor-Joining tree method as implemented in MEGA7.0 and embellished with iTOL (http://itol.embl.de/). The numbers shown on each branch indicate protein substitution rate. The NAL8 homologous proteins are highly consistent with the species evolution relationship. (PDF 117 kb)
Figure S4. Comparisons and statistical analysis of TQ, the nal8 mutant, and NAL8 complementation transgenic rice lines. (A) Spikelet phenotypes among TQ, nal8 and the transgenic complementation lines NAL8com#1 and #2. Scale bar = 5 cm. (B) Mature grains of TQ, nal8 and the complementation lines NAL8com#1 and #2. Scale bar = 2 mm. (C-H) Statistical analyses of average grain width (n = 20 plants) (C), average grain length (n = 20 plants) (D), average thousand seed weight (n = 20 plants) (E), average plant height (n = 20 plants) (F), average spikelet number (n = 20 plants) (G) and average flag leaf length (n = 20 plants) (H) in TQ, nal8 and the transgenic complementation lines NAL8com#1 and #2. Values in C-H are given as the mean ± SD. *P < 0.05; **P < 0.01 compared with the TQ control using Student’s t-test. (PDF 80 kb)
Figure S5. Genotyping of the NAL8CRISPR transgenic knockout lines. Alignment of the DNA sequences of the NAL8 gene region from the wild-type TQ and the NAL8CRISPR #1 and #2 lines. Black ellipses show the positions of a 1 bp deletion in the NAL8CRISPR #1 and a 2 bp deletion in NAL8CRISPR # 2 sequences (left), and 1 bp insertion in NAL8CRISPR # 2 (right). The mutations cause translational frame shifts which result in missense mutations in the NAL8 gene in both transgenic knockout lines. (PDF 49 kb)
Figure S6. Narrow leaf width and reduced spikelet number in the NAL8 transgenic knockout lines are similar to those in the nal8 mutant. (A) Plant architecture of the wild-type ZH11 and the NAL8 knockout lines NAL8CRISPR #1 and #2 at the reproductive stage. Scale bar = 15 cm. (B) Flag leaves of ZH11 and NAL8CRISPR #1 and #2. Scale bar = 5 cm. (C) Mature panicles of ZH11 and NAL8CRISPR #1 and #2. Scale bar = 10 cm. (D-K) Statistical comparisons of the average flag leaf width (n = 20 plants) (D), average plant height (n = 20 plants) (E), average spikelet number (n = 20 plants) (F), average thousand seed weight (n = 20 plants) (G), average grain width (n = 20 plants) (H), average grain length (n = 20 plants) (I), average flag leaf length (n = 20 plants) (J) and average tiller number (n = 20 plants) (K) in ZH11 and the NAL8CRISPR #1 and #2 knockout lines. Values in D-K are given as the mean ± SD. *P < 0.05; **P < 0.01 compared with the ZH11 control using Student’s t-test. (PDF 79 kb)
Figure S7. Transgenic NAL8 gene silenced lines show similar leaf width and spikelet defects to the rice nal8 mutant. (A) Plant architecture of the wild-type TQ and the transgenic NAL8 RNAi silenced lines NAL8RNAi #1 and #2 at the reproductive stage. Scale bar = 15 cm. (B) Flag leaves of TQ and NAL8RNAi #1 and #2. Scale bar = 5 cm. (C) Mature panicles of ZH11 and NAL8RNAi #1 and #2. Scale bar = 5 cm. (D-K) Statistical comparisons of average flag leaf width (n = 20 plants) (D), average plant height (n = 20 plants) (E), average spikelet number (n = 20 plants) (F), average thousand seed weight (n = 20 plants) (G), average grain width (n = 20 plants) (H), average grain length (n = 20 plants) (I), average flag leaf length (n = 20 plants) (J) and the relative expression of NAL8 (n = 3 pooled tissues, three plants per pool) (K) in ZH11 and NAL8RNAi #1 and #2. Values in D-K are given as the mean ± SD. *P < 0.05; **P < 0.01 compared with the TQ control using Student’s t-test. The UBQ5 gene was used as an internal reference to normalize the gene expression data. (PDF 81 kb)
Figure S8. Transgenic rice plants overexpressing NAL8 show no obvious developmental effects. (A) Plant architecture of the wild-type ZH11 and transgenic NAL8-overexpressing lines NAL8OE #1 and #2 at the reproductive stage. Scale bar = 15 cm. (B) Flag leaves of ZH11 and NAL8OE #1 and #2. Scale bar = 5 cm. (C) Mature panicles of ZH11 and NAL8OE #1 and #2. Scale bar = 5 cm. (D-K) Statistical comparisons of average flag leaf width (n = 20 plants) (D), average plant height (n = 20 plants) (E), average spikelet number (n = 20 plants) (F), average thousand seed weight (n = 20 plants) (G), average grain width (n = 20 plants) (H), average grain length (n = 20 plants) (I), average flag leaf length (n = 20 plants) (J) and the relative expression of NAL8 (n = 3 pooled tissues, three plants per pool) (K) in ZH11 and NAL8OE #1 and #2. Values in (D-K) are given as the mean ± SD. *P < 0.05; **P < 0.01 compared with the ZH11 control using Student’s t-test. The UBQ5 gene was used as an internal reference to normalize the gene expression data. (PDF 79 kb)
Figure S9. Grain phenotypes of the NAL8 transgenic lines. (A) Mature rice grains of ZH11 and the transgenic NAL8OE overexpression lines. Scale bar = 2 mm. (B) Mature rice grains of TQ and the transgenic NAL8RNAi gene silencing lines. Scale bar = 2 mm. (C) Mature rice grains of ZH11 and the transgenic NAL8CRISPR transgenic lines. Scale bar = 2 mm. (D) Mature rice grains of TQ, the nal8 mutant and the transgenic two NAL8com complementation lines in the nal8 genetic background. Scale bar = 2 mm. (PDF 118 kb)
Figure S10. Expression profile of NAL8 in rice tissues and organs. (A-H) Histochemical analysis of enzyme activity of the NAL8:GUS fusion protein in the node (A), culm (B), leaf (C), root (D), basal internode (E), spikelet hull (F), young panicle (G), and in transgenic plants expressing the GUS gene under control of the NAL8 promoter (H). Scale bar = 2 mm. (I) Relative expression of the NAL8 gene in different rice tissues. The UBQ5 gene was used as the internal reference to normalize gene expression data. The standard deviations were calculated from three biological replicates. (PDF 83 kb)
Figure S11. Endogenous levels of multiple plant hormones in TQ and the nal8 mutant. (A-H) Endogenous levels of IAA (A), Me-IAA (B), iP (C), tZ (D), JA (E), SA (F), ICA (G) and cZ (H) in TQ and the nal8 mutant. Standard deviations were calculated from three biological replicates. (PDF 12 kb)
Figure S12. Comparative RNA-seq analysis between TQ and the nal8 mutant. (A) Sample correlations among the individual TQ and nal8 replicates and between TQ and nal8. Each sample consisted of three biological replicates. The numbers indicate the pearson’s correlation coefficients for each pair-wise comparison. (B) A PCA map indicates that the TQ and nal8 samples are widely separated in the RNA-seq analysis. (C) A volcano plot shows that more genes are up-regulated in the nal8 mutant than are down-regulated compared with TQ. The X-axes shows the logarithmic values of the relative differences in expression. The Y-axes values are the negative logarithms of the significance. Each dot indicates a gene. Red dots and green dots are significantly up-regulated and down-regulated genes, respectively. Black dots are genes in which the expression changes are insignificant. The expression values for the different RNAs were adjusted by FDR < 0.01, and the Fold Change is > 2. (D) Correlation plot of all TQ and nal8 samples which were used in the RNA-seq analysis. The X- and Y-axes are the logarithmic values of FKPM (fragments per kilobase per million reads). Each dot indicates a gene. The purple line is the coefficient parameter which represents the Pearson’s coefficient of significance, above which the genes are up-regulated, and below which the genes are down-regulated. (PDF 314 kb)
Figure S13. KEGG pathway analysis and GO analysis for genes that are differentially expressed between TQ and the nal8 mutant. (A) All differentially-expressed genes (DEGs) that gave a match in the KEGG (Kyoto Encyclopedia of Genes and Genomes) classification. The numbers and percentages of annotated genes are shown to the right, and the various colors indicate the main KEGG pathway classifications. The x-axes indicates the percentage of annotated genes out of all DEGs. (B) GO (gene ontology) enrichment of DEGs between TQ and nal8. The individual GO terms in the three main GO categories are shown on the y-axes, and the x-axes shows the log10 of the significance of the corresponding GO terms. (PDF 211 kb)
Figure S14. qRT-PCR analysis of gene expression between TQ and the nal8 mutant. (A-C) Relative expression levels of mitochondrial genes (A), chloroplast-related genes (B) and brassinosteroid-related genes (C) in TQ and nal8 as determined by qRT-PCR (n = 3 pooled tissues). The UBQ5 gene was used as an internal reference to normalize the gene expression data. Values represent the mean ± SD. **P < 0.01 compared with the wild-type using Student’s t-test. (PDF 46 kb)
Figure S15. Comparative proteomics analysis of TQ and the nal8 mutant. (A) Venn diagram showing the number of different proteins that are up- and down-regulated in TQ compared with nal8. The expression values for the different proteins were adjusted by FDR (false discovery rate). Three biological repeats of both TQ and nal8 were used to perform the proteomics analysis. (B) Volcano plot showing the distribution of differential protein expression. The x-axes shows the Log2 fold-change of the differentially expressed proteins, and the y-axes shows the-log10 of the p-values of the differences between TQ and nal8. The expression values for the different proteins were adjusted by FDR < 0.01, and the Fold Change is > 2. (PDF 227 kb)
Figure S16. Phylogenetic analysis of the PHB proteins from rice and Arabidopsis. Phylogenetic analysis of NAL8 and homologous protein sequences from rice (Os) and Arabidopsis (At). The gene and/or locus names are shown at the ends of the branches on the phylogenetic tree. The tree was constructed using the Neighbor-Joining method as implemented in MEGA7.0 and embellished with iTOL (http://itol.embl.de/). The numbers shown on each branch indicate protein substitution rate. NAL8 belongs to the type-II class of prohibitins. (PDF 40 kb)
Table S1. All DEGs between TQ and nal8 in RNA-seq. The numbers are log2FC values. (XLSX 780 kb)
Table S2. All proteins identified by proteomics analysis. (XLSX 680 kb)
Table S3. Differentiated expressed proteins identified by proteomics analysis. (XLSX 271 kb)
Table S4. Primers used in this study. (XLSX 13 kb)
About this article
Cite this article
Chen, K., Guo, T., Li, XM. et al. NAL8 encodes a prohibitin that contributes to leaf and spikelet development by regulating mitochondria and chloroplasts stability in rice. BMC Plant Biol 19, 395 (2019). https://doi.org/10.1186/s12870-019-2007-4