- Research article
- Open Access
Genome-wide analyses and expression patterns under abiotic stress of NAC transcription factors in white pear (Pyrus bretschneideri)
BMC Plant Biology volume 19, Article number: 161 (2019)
Although the genome of Chinese white pear (‘Dangshansuli’) has been released, little is known about the functions, evolutionary history and expression patterns of NAC families in this species to date.
In this study, we identified a total of 183 NAC transcription factors (TFs) in the pear genome, among which 146 pear NAC (PbNAC) members were mapped onto 16 chromosomes, and 37 PbNAC genes were located on scaffold contigs. No PbNAC genes were mapped to chromosome 2. Based on gene structure, protein motif analysis, and topology of the phylogenetic tree, the pear PbNAC family was classified into 33 groups. By comparing and analyzing the unique NAC subgroups in Rosaceae, we identified 19 NAC subgroups specific to pear. We also found that whole-genome duplication (WGD)/segmental duplication played critical roles in the expansion of the NAC family in pear, such as the 83 PbNAC duplicated gene pairs dated back to the two WGD events. Further, we found that purifying selection was the primary force driving the evolution of PbNAC family genes. Next, we used transcriptomic data to study responses to drought and cold stresses in pear, and we found that genes in groups C2f, C72b, and C100a were related to drought and cold stress response.
Through the phylogenetic, evolutionary, and expression analyses of the NAC gene family in Chinese white pear, we indentified 11 PbNAC TFs associated with abiotic stress in pear.
Transcription factors (TFs) are essential for the regulation of gene expression by binding to specific cis-acting promoter elements, thereby activating or repressing the rate of transcription of their target gene(s) [1, 2]. TFs regulate many biological processes, including cellular morphogenesis, signal transduction, and environmental stress response [3, 4]. The identification and functional characterization of TFs are essential for the reconstruction of transcriptional regulatory networks . The name of NAC gene family was derived from three transcription factors: (i) NAM (no apical meristem), (ii) ATAF1–2, and (iii) CUC2 (cup-shaped cotyledon), all of which had the same DNA-binding domain . NAC genes encode plant-specific transcriptional regulators that constitute a large transcription factor family in plants.
Considerable evidence has been collected regarding the functions of NAC genes in plant growth and development, and they play a role in enhancing tolerance to abiotic stress, thus aiding adaptation to fluctuating environments . NAC genes were first found to be associated with shoot apical meristem and primordium formation in Petunia . Later studies identified other NAC members, which are involved in transcriptional regulation of diverse biological processes, including shoot apical meristem development [8,9,10], floral morphogenesis , lateral root development [12, 13], leaf senescence [14, 15], stress inducible flowering induction [16, 17], embryogenesis , cell cycle control [19,20,21], cell wall development , hormone signaling [23, 24], grain nutrient remobilization , and shoot branching determination . In particular, some plant NAC TFs have been found to be involved in plant responses to biotic and abiotic stresses , including drought, salinity, cold shock, mechanical wounding, and virus infection. The stress-responsive ANAC096 had a synergistic relationship with ABRE binding factors and increased plant survival rates under osmotic and drought stresses [27, 28]. In addition, AtNAC019, AtNAC055, and AtNAC072 specifically bound to NAC-recognized sites (NACRS) in the promoter of the EARLY RESPONSIVE TO DEHYDRATION STRESS 1 (ERD1) gene to enhance drought tolerance . Arabidopsis NAC016 repressed transcription of ABSCISIC ACID-RESPONSIVE ELEMENT BINDING PROTEIN 1 (AREB1), a key transcription factor involved in ABA-dependent stress-signaling that facilitates responses to drought stress [27, 30]. In soybean, 38 NAC genes were found to be involved in the drought response [31, 32]. GmNAC11 and GmNAC20 were linked to different abiotic stresses, and their expression in Arabidopsis conferred tolerance to both salt and freezing . Similarly, over-expression of horsegram MuNAC4 in transgenic groundnut plants reduced damage to membrane structures, and enhanced osmotic adjustment and antioxidative enzyme regulation under drought stress . In wheat, transgenic lines over-expressing TaNAC69 produced more biomass in the shoots and roots, when grown under stress-inducing conditions [35, 36]. In maize, ZmNAC41 and ZmNAC100 were found to be related to the maize defense network . ZmSNAC1, a stress-response transcription factor, enhanced tolerance to dehydration in transgenic Arabidopsis [38, 39]. Furthermore, the StNAC (Solanum tuberosum) gene was induced in response to Phytophthora infestans infection and the BnNAC genes from Brassica were induced by drought and cold [40, 41]. However, to date, little is known regarding how plant NAC TFs reduced stress tolerance. Moreover, the molecular basis of this function in white pear has not yet been identified.
Pear is one of the most widely distributed fruits in the world, and has great value for commerce and health. However, pear plants frequently experience abiotic stresses, including drought and cold, which limit pear growth and development, and have subsequent effects on pear crop productivity . Therefore, the identification of genetic determinants associated with drought and cold stresses tolerance in pear is important for agricultural development. In plants, several NAC TFs are transcriptionally induced by drought and cold, but few NAC TFs have been functionally characterized in pear. In this study, we identified 183 PbNAC genes from the pear genome and carried out phylogenetic analyses to determine the relationships among these genes. Analyses of protein motifs and intron/exon structures provided support for family classification. Further, we identified duplication events that likely contributed to the expansion of the NAC family. In addition, RNA-Seq data showed that the expression patterns of PbNACs differed in response to drought and cold stress. This study provides an empirical basis for identifying factors that may enhance the tolerance of pear in response to abiotic environmental stress.
Identification and classification of NAC genes in Rosaceae
To obtain sequences of NAC genes for pear and four other Rosaceae species, a HMMER-BLASTP-InterProScan strategy was used to search for genes encoding proteins containing the Pfam PF02365 domain (http://pfam.xfam.org/family/PF02365/). We searched the Chinese white pear genome sequence (http://peargenome.njau.edu.cn/) for genes that encode proteins with NAC DNA-binding domains. The protein sequences of Arabidopsis NAC were used as queries to perform BLAST searches against the Chinese white pear genome database. In total, we identified 183 NAC genes in Pyrus bretschneideri (PbNAC) (Additional file 1: Table S1). We temporarily named them based on the homologous gene in Arabidopsis to better identify individual sequences (Additional file 1: Table S1); for example, Pbr020642 and Pbr027956 the homologous gene in Arabidopsis is ANAC002 (e-value of BLAST is 1.45E-151 and 1.62E-122, respectively), and therefore these genes were named PbNAC2a and PbNAC2b, respectively (Additional file 2: Table S2). Of the 183 PbNAC genes, 146 PbNAC members were mapped onto 16 chromosomes (excluding chromosome 2); the other 37 PbNAC genes were located on scaffold contigs (Fig. 1). Chromosome 11 had the largest number of PbNAC genes (20), followed by chromosome 10 with 17 genes. Chromosome 1 was the shortest and contained four genes, while chromosome 7 contained only three. The PbNAC genes were clustered in fragments of the chromosome instead of being evenly distributed throughout the chromosome. This may be due to uneven duplication events of pear chromosome fragments . Similarly, we identified 171, 114, 113, and 127 NAC genes from the apple (Malus domestica), peach (Prunus persica), Chinese plum (Prunus mume), and strawberry (Fragaria vesca) genomes, respectively (Additional file 1: Table S1). As for PbNAC genes, their distribution in the four other Rosaceae genomes appeared to be random.
Gene structure and protein motif analysis of the NAC gene family in Chinese white pear
To identify the structural diversity of the PbNAC genes, we analyzed exon/intron content in the coding sequences of the individual PbNAC genes. Of the 183 PbNAC genes, 23 had no introns, while most other genes contained at least one (Fig. 2), such as the PbNAC44b that had the most (12 introns). A phylogenetic tree was generated from the complete protein sequences of all the PbNAC genes, which divided the NAC genes into 33 subgroups (Fig. 2). Genes within the same subgroup had a similar exon/intron structure in terms of intron number and exon length. For example, the majority of the PbNAC genes in subgroups C100a, C7b, C7c, C30b, C70c, C47a, C104c, C42b, C90e, and C83e had two introns, while all members of subgroups C2f, C83j, and C26b possessed only one intron, with the exception of two members which harbored two. In contrast, members of subgroups C14k, C81b, C20b, C8b, C78b, C91a, C14j, C40b, and C90f had a highly variable member and distribution of introns.
To further examine the diversity of the PbNAC genes, putative motifs were predicted by the program MEME. Based on this program, 20 distinct motifs were identified. This result is similar to that found in apple, which has 19 distinct motifs . As expected, most closely related members had similar motif compositions, which suggested that there are functional similarities among the NAC proteins within the same subgroup (Fig. 3).
Phylogenetic analysis of pear NAC genes
To investigate the phylogenetic relationships between pear NAC genes, a rootless phylogenetic tree with 183 complete NAC genes from multiple sequence alignments of their NAC domains was constructed. We performed a phylogenetic analysis of Chinese white pear (183 members) PbNAC proteins based on Arabidopsis (100 members) using the Fast Treeand Mr. Bayes tools. These packages yielded similar results with high support values obtained from both methods (Figs. 4 and 5). All PbNAC proteins contained an NAC domain, but their protein structures were highly diverse. The amino acid sequences of NAC proteins were used to construct a phylogenetic tree to investigate the divergence of PbNAC proteins. The phylogenetic tree was constructed with conserved N-terminal NAC domains A to E, using the same algorithm. The results of this analysis showed that genes in each subgroup may originate from the same duplication event and possess similar functionality. The topology of the phylogenetic tree allowed us to classify the PbNAC proteins into 33 subgroups, with most clades having high statistical support (pp > 0.90; bootstrap > 80%; Fig. 4). The internal relationship within the branch was also highly guaranteed (pp = 1.00). We can infer that the genes in each subgroup may originate from the same duplication event, and therefore have similar functions. However, 10 genes, including PbNAC89, PbNAC29, PbNAC103c, PbNAC28d, PbNAC51c, PbNAC56a, PbNAC56b, PbNAC25a, PbNAC55, and PbNAC17 did not form a cluster in any identified clade or subgroup, therefore the process of genome evolution may have conferred special roles in these PbNAC proteins.
Comparative analysis to reveal unique NAC subgroups in Rosaceae
Additional rootless trees were constructed using the same method, which aligned the NAC protein sequences with each of the four Rosaceae species (apple, peach, Chinese plum and strawberry) as well as Arabidopsis, as shown in Figs. 6-1 and 6-2. We identified 38 subgroups, including species-specific NAC subgroups (R28d, C2h, C25c, C32b, C14k, C26b, C91, R55, C7b, C47a, C14j, C41, R51c, C90f, C81b, R89, R29, C38g, and C57) for which there are no representatives in Arabidopsis (Additional file 3: Table S3), suggesting that these proteins might have specialized roles that were either lost in Arabidopsis, or were gained after divergence from the last common ancestor. Genes in subgroups C2h, C14k, C81b, and R29 were found in all Rosaceae plants except strawberry (Additional file 3: Table S3). Therefore, we can speculate that these genes may play important roles in woody plants. Furthermore, we discovered that subgroups C47a and C14j were present only in Chinese white pear and apple. We can therefore infer that genes from these subgroups have special functions in Maloideae. Subgroup C38g did not include any NACs in Arabidopsis or the other four Rosaceae species, but did include NAC members from Chinese white pear, indicating that these genes may have been either lost in Arabidopsis and the other four Rosaceae species or were acquired in pear after its divergence from the last common ancestor. This evolutionary divergence therefore suggests that these genes may have essential roles in pear.
Whole-genome duplication and synteny analysis of PbNAC genes
It is well documented that gene families have evolved by whole genome duplication, segmental duplication, and tandem duplication, accompanied by post-duplication diversification [45,46,47]. Genes within a single genome can be classified as singletons, dispersed duplicates, proximal duplicates, tandem duplicates and segmental/WGD duplicates depending on copy number and genomic distribution . In this study, we focused on tandem and segmental/WGD duplications of NAC TFs in the whole pear genome. Our results showed that, in Chinese white pear 99 (54.10%) PbNAC gene pairs and 116 (63.39%) PbNAC genes were duplicated and retained in WGD or segmental events, while only 16 (8.74%) PbNAC genes were from gene clusters and 48 (26.23%) PbNAC genes originated from tandem duplications (Additional file 4: Table S4). Thus, our results showed the proportion of WGD-type PbNAC gene duplication is high in Chinese white pear, which may be due to recent lineage-specific WGD events [30–45 million years ago (MYA)]. With respect to WGD/segmental and tandem duplication events in other Rosaceae plants, Chinese white pear and apple showed different trends from strawberry, plum, and peach. Our results suggest that WGD was the main driver of the expansion of the NAC gene family in both apple and Chinese white pear (Additional file 4: Table S4).
In order to investigate the evolutionary mechanisms responsible for the diversity in the PbNAC gene family, we identified the mean Ks and duplicated type for each pair of fragments, by using a similar method to that used for the Plant Genome Duplication Database (PGDD). We identified 98 pairs of collinear fragments (Additional file 5: Table S5, Additional file 6: Figures. S1-S2). For example, synteny was detected between fragments PbNAC73a and PbNAC73b; these showed at least 18 pairs of homologous genes, aligned in the same way. The linear regression coefficient (Q-value) after mapping to a linear regression model was 0.99, showing that the two chromosome segments containing the NAC gene were generated by a chromosomal duplication event. The average Ks value of the 18 pairs of homologous genes was 0.04 (standard deviation: 0.03), indicating that this replication event occurred relatively recently. These results further demonstrate that recent lineage-specific WGD events resulted in the expansion of the PbNAC gene family in Chinese white pear.
Historical duplication events
Typically, the evolutionary dates of WGD or segmental duplication events are estimated by Ks values (i.e., synonymous substitutions per site). Previous studies have determined that there are two genome-wide duplication events in the pear genome: an ancient WGD (Ks~ 1.5–1.8) estimated to have taken place approximated 140 MYA , and a recent WGD (Ks~ 0.15–0.3) estimated to have taken place at 30–45 MYA . In this study, the evolutionary dates of WGD or segmental duplication events in the PbNAC gene family were estimated by Ks values. Additional file 5: Table S5 showed the mean Ks values of PbNAC duplicated gene pairs in syntenic regions; Ks values ranged from 0.01 to 7.18. In addition, 88 (89.80%) repeat gene pairs were distributed in two main peaks (Additional file 7: Figure S3). These duplications may derive from the recent WGD (30–45 MYA) and ancient WGD (~ 140 MYA) reported previously, indicating that the NAC is an ancient gene family that expand with the recent WGD. In addition, 10 (10.20%) duplicated gene pairs had even higher Ks values (2.88–7.18).
Positive (Darwinian) selection is the process of accumulating new favorable mutations and then spreading throughout the population, while negative (purifying) selection is the process of removing deleterious mutations . In order to detect which selection process drove the evolution of the PbNAC gene family in Chinese white pear, coding sequences (CDS) was used to calculate the Ka/Ks ratio of homologs in the PbNAC gene family. All Ka/Ks ratios obtained from 84 gene pairs were < 1 (Additional file 8: Table S6), implying that the primary force of the evolution of PbNAC family genes was purifying selection. Thus, these 81 genes appear to have undergone a recent WGD/segmental duplication, while eight genes underwent positive selection after replication differentiation (p < 0.05) (Additional file 9: Table S7). Moreover, the functionality of these eight genes under positive selection included: nucleic acid binding, DNA binding, molecular function, transcription regulation, biological process, and response to stress.
Expression of PbNAC genes under drought stress
Previous studies have reported that numerous NAC domain proteins are implicated in plant drought stress [51,52,53], however, there is limited information on the response of NAC TFs to the drought stress of Chinese white pears. To study the response to drought stress in pear, transcriptomic data of PbNAC genes was analyzed in plants exposed to drought treatment. Only 109 PbNAC genes showed differential gene expression pattern; six gene clusters were identified and visualized in a heat map (Fig. 7). Cluster 1 contained 16 PbNAC genes that experienced significant up-regulation after drought treatment at 3 h. Cluster 2 contained 31 genes that were highly induced at 6 h after drought treatment. Cluster 4 contained 18 genes that were highly induced after re-watering at 24 h, although no transcriptional differences were evident for PbNAC81b, PbNAC14i, PbNAC14b, PbNAC33a, or PbNAC104c. Cluster 6 contained 23 genes whose transcription significantly increased at 0 and 1 h of drought treatment, while some genes experienced down-regulation at 6 h after drought treatment. Most genes in Clusters 3 and 5 were up-regulated in response to drought treatment, but their relative expression levels were lower than genes in other Clusters. We selected 36 genes that were up-regulated by at least 1.5-fold after drought treatment and studied their expression patterns in other phylogenetic groups (Additional file 10: Table S8).
We found that seven genes in C100a, five genes in C90e, two genes in C47a, C2f, C72b, C8b, C83j, C83e, and C91a, one gene in C42b, C14m, C14j, and C82, and six genes which were not attributed to any group were up-regulated in response to drought stress. Eighteen genes in Cluster 2 were more significantly up-regulated at 6 h than genes in other clusters, and most genes in Cluster 2 belonged to Groups C100a, C2f, C72b, and C90e. These results indicate that water deficiency induced PbNAC genes from different groups, and Groups C100a, C2f, C72b, and C90e were primarily involved in biological pathways that mediate drought stress responses.
An orthologous is a homologous gene that differentiates after a speciation event. It is generally assumed that orthologous genes retain the same function in different organisms, and share other key characteristics. Homology pairs (groups) are produced by evolution; ancestral genes and their functions are maintained by speciation events, and mutations may occur within the genes after species differences. In previous studies, 18 NAC TFs-including AtNAC002, AtNAC081, AtNAC102, AtNAC055, AtNAC019, AtNAC072, AtNAC098, AtNAC054, AtNAC031, AtNAC092, AtNAC078, AtNAC083, AtNAC018, AtNAC056, AtNAC025, AtNAC016, AtNAC029, and AtNAC047 have been shown to be involved in stress responses in Arabidopsis . Here we found 46 orthologous PbNAC TFs, but only nine PbNAC genes, including PbNAC17, PbNAC72a, PbNAC72b, PbNAC2a, PbNAC2b, PbNAC100b, PbNAC87b, PbNAC21a, and PbNAC21b that were up-regulated at 3 or 6 h after drought treatment. These nine stress-response PbNAC genes may retain equivalent functions to those found in Arabidopsis. In summary, our results indicate that the functions of PbNAC TFs are largely conserved.
We next performed a Gene Ontology (GO) analysis of Group C2f, C72b, and C100a, which were the groups with the greatest number of orthologous PbNAC TFs. These genes were enriched for the following GO terms: nucleic acid binding, transcription factor activity, multicellular organismal processes, hormone-mediated signaling pathways, developmental processes involved in reproduction, gene expression, post-embryonic root development, transcription regulator activity, response to stress, abscisic acid mediated signaling pathways, response to hormone stimuli, and response to carbohydrate stimuli. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that the following terms were associated with these genes: biosynthesis of secondary metabolites, phenylpropanoid biosynthesis, and isoflavonoid biosynthesis. These pathways have previously been shown to be related to abiotic stresses [55, 56].
To verify that these genes were differentially expressed under drought stress, the relative transcript abundance of nine selected genes were analyzed by quantitative real-time PCR (qRT-PCR). The results of this approach depicted trends in relative gene expression that were largely consistent with the previous approach. Seven genes, including PbNAC17, PbNAC72a, PbNAC72b, PbNAC2a, PbNAC2b, PbNAC100b, and PbNAC87b, were up-regulated 3 or 6 h after drought treatment and then down regulated 24 h of recovery. However, our qRT-PCR results for PbNAC21a and PbNAC21b differed from those shown in the heat map, as they were up-regulated after 24 h of recovery (Fig. 8).
Expression of PbNAC genes under cold treatment
We used the same method to analyze the NAC TFs in response to cold stress as we did in response to drought stress. Our results suggested that 113 PbNAC genes showed differential expression and the resulting heatmap was divided into six clusters (Fig. 9). Cluster 1 (23 genes) and Cluster 2 (20 genes) were significantly up-regulated after returning to room temperature for 24 h. Cluster 3 contained 24 PbNAC genes that demonstrated obvious up-regulation at 0 h. In Cluster 5 (20 genes) and Cluster 6 (14 genes), most genes were up-regulated at 5 and 12 h after cold treatment, except PbNAC74a, PbNAC56a, and PbNAC91d. However, after cold treatment some genes including PbNAC91b, PbNAC2b, PbNAC83g, PbNAC2a, and PbNAC100c were down-regulated at 0 h. The genes in Cluster 4 showed no obvious expression differences in response to cold stress. We selected 26 genes which were up-regulated at least 1.5-fold after cold treatment, to survey the expression patterns in other phylogenetic groups (Additional file 11: Table S9).
We found four genes in C100a, three genes in C80b, two genes in C47a, C2f, C72b, C42b, C83e, and C91a, and one gene in C104c, C90e, C83j, and C14m. Moreover, three other genes, which were not assigned to any group, were up-regulated in response to cold stress. Ten genes in Clusters 5 and 6 were more significantly up-regulated at 5 or 12 h, compared to genes in other clusters, and most of these genes belonged to groups C100a, C2f, and C72b. Thus, PbNAC genes from separate groups were induced by cold, and these same groups were identified as being involved in biological pathways responding to cold treatment. Similarly, we found seven homologous genes PbNAC72a, PbNAC72b, PbNAC2a, PbNAC2b, PbNAC87b, PbNAC21a, and PbNAC21b that were strongly up-regulated not only at 3 or 6 h after drought treatment but also at 5 or 12 h after cold treatment. In addition, PbNAC56b and PbNAC25a were also found to respond to cold stress. The results of the GO and KEGG pathway analyses were in agreement in this study. To validate the expression patterns of the nine genes in phylogenetic tree groups C100a, C2f, and C72b, we performed qRT-PCR analysis on pear seedlings subjected to short-term cold stress. The results were highly consistent with our RNA-seq data (Fig. 10). The gene expression levels of all nine genes increased to their highest level either at 12 or 24 h, then decreased 24 h after recovery.
As NAC TFs play important roles in diverse processes, including developmental programs, defense, and abiotic stress responses, research on these proteins has progressed considerably [57, 58]. Many NAC TFs have been identified and functionally characterized in both model and crop plants, including Arabidopsis, rice, soybean, and wheat. Moreover, NAC TFs have been identified in apple, but no large dataset of NAC TFs exists for Chinese white pear .
In this study, we performed genome-wide analyses to identify a total of 183 PbNAC genes and larger than 163 in Populus , 151 in rice  and 101 in Brachypodium distachyon . The NAC gene family is the larger family within plant species, due to an expansion of the NAC gene family. It can be speculated that the presence of additional NAC genes in the pear genome. Through genome-wide duplication, homologous and historical duplication events, our analyses of the PbNAC gene revealed that NAC was an ancient gene family that was expanded during the recent WGD. Previous studies have reported a recent WGD incident in China pear and occurred around 30–45 MYA [43, 61]. Su et al. (2013) found the expansion of the apple NAC gene occurred in a recent WGD of 60–65 MYA  and has been earlier than the pear. In addition, we found evidence that purifiying selection was a major force driving the evolution of the PbNAC family of genes.
Based on gene structure and protein motif analyses, the PbNAC family was classified into 33 major groups. Motif and exon/intron analyses showed that the most closely related members in the phylogenetic tree had common motif compositions, which points to the existence of functional similarities among NAC proteins within the same subfamily. The motif and exon/intron were similar as Brachypodium distachyon and apple [44, 60]. To examine the phylogenetic relationships among the NAC proteins in Chinese white pear, we identified unique PbNAC subgroups in different Rosaceae species and constructed a rootless phylogenetic tree from the alignments of the NAC protein sequences. The different naming and classification methods may be the main reason for some differences between the phylogenetic tree in this study and the phylogenetic tree obtained in previous studies [44, 59, 60]. It could also be explained by different algorithms used in phylogenetic analysis. Although there were some differences, the phylogenetic tree obtained in this study was basically consistent with previous studies. Through the phylogenetic tree, Subgroup C38g was found only in Chinese white pear and members of this group may have specialized roles gained after divergence from closely related species. And the specialized roles of this subgroup need further examine.
Abiotic stresses, such as drought and cold, can cause loss of yield and reduce the quality of fruit trees [62, 63]. The expression of PbNAC genes in response to drought and cold stress was investigated by using RNA-Seq data. We found that 36 PbNAC genes were up-regulated at least 1.5-fold under drought treatment and 26 PbNAC genes under cold treatment. In addition, groups C100a, C2f, and C72b were found to be involved in biological pathways in drought and cold stress responses. Overexpression of AtNOC019, AtNAC055, AtNAC016, AtNAC096 and AtNAC072 increase the stress tolerance in Arabidopsis [27, 64]. Moreover, AtNAC019, AtNAC055, and AtNAC072 could specifically bind to the promoter of ERD1 of the NAC recognition site (NACRS), and enhanced drought tolerance . In rice, 40 NAC genes responded to drought or salt stress, and overexpression of SNAC3 (ONAC003), ONAC022, OsNAC5, OsNAC2, and OsNAC6 improved drought tolerance in transgenic plants [51, 65]. In wheat, overexpression of TaNAC29, TaNAC2, TaNAC2a, and TaNAC67 was also found to increase tolerance to cold, high salinity, and drought stresses [66, 67]. In this study, 11 PbNAC TFs orthologs of NAC TFs (identified as being involved in the abiotic stress response) in Arabidopsis were found to be responsive to drought and cold stresses in pear. We speculate that these PbNAC TFs may have functions in pear that are equivalent to those of their Arabidopsis orthologs. Since gene expression patterns can provide important clues for their functions, we examined the expression of selected 11 PbNAC genes in drought and cold treatments by using qRT-PCR. Interestingly, these genes are all shown to be involved in the regulation of drought and cold. In future, more researches will be needed to determine the functions of the PbNAC genes in pear.
To date, many studies have investigated the important roles of NAC TFs in plant growth and development, as well as their response to abiotic stresses. Therefore, the NAC TF family has become the subject of continued attention because of its potential involvement in plant tolerance engineering [68,69,70,71,72]. Our results demonstrated that the eleven PbNAC genes examined in this study play essential roles in plant responses to abiotic stress, and therefore may be suitable candidate genes for the engineering of pear plants with improved stress resistance. Overall, in this study, we provide a comprehensive analysis of the NAC family in Chinese white pear, and we discuss the relationship of this family to abiotic stress responsiveness. The results presented in this report may facilitate the functional characterization of the NAC gene family and further understand the relationship among NAC family members. Alternatively, our results could also improve our understanding of the molecular basis of important agronomic traits in pear, including fruit development and their abiotic stress response. Taken together, our results may be useful for identifying new candidate NAC family genes for genetic engineering of novel pear germplasms with enhanced stress tolerance. We will verify the cold and drought tolerance of these 11 genes in future studies.
A total of 183 PbNAC genes were identified from the pear genome. Based on the phylogenetic relationships between these genes, we divided the 183 PbNAC genes into 33 subgroups. The analyses of conserved domains suggested that PbNAC genes in the same group had similar functions. NAC genes from pear and Arabidopsis were present in most subgroups, indicating that these members had a recent common ancestor. Thus, the function of most NAC genes might be conserved during angiosperm evolution. Collinearity analysis showed that the recent WGD (30–45 MYA) may have contributed to the large-scale amplification of the NAC gene family in Chinese white pear. Purifying selection was found to be major force acting on NAC family genes; eight genes underwent positive selection after replication differentiation. Transcriptome sequencing analysis identified PbNAC genes likely to play an important role in responses to drought and cold stress. Expression and functional data for AtNAC genes supported the hypothesis that PbNAC genes possess a variety of unique functions under drought and cold stress. In conclusion, we found eleven PbNAC genes that play a key role in the response to abiotic stresses. This will facilitate further research on the biological functions of NAC TFs in pear, while the functions of these genes are an important topic for further research on this species.
Identification of NAC genes in the white pear genome
The complete genome, proteome sequences, and GFF of pear (Pyrus bretschneideri) were obtained from http://peargenome.njau.edu.cn . The corresponding protein sequences in A. thaliana were downloaded from the Arabidopsis Information Resource (TAIR) (http://www.arabidopsis.org/) . In both proteome datasets, if two or more protein sequences at the same locus were identical, we selected the longest sequence where they overlapped. A HMM profile for the NAM domain (PF02365) was downloaded from Pfam (http://pfam.xfam.org/family/PF02365/). HMMER was used to search a customized database containing the proteome with the threshold set to the Pfam GA gathering cutoff . The HMMER-selected proteins were used for a BLASTp query of the original protein database. Finally, the BLASTp hits were scanned for NAM domains using InterPro (http://www.ebi.ac.uk/interpro/) . We used the same strategies to identify the NAC genes from four other Rosaceae plants. The genome sequences of apple, peach, and strawberry were downloaded from Phytozome (http://phytozome.jgi.doe.gov/pz/portal.html#) and the Chinese plum genome sequence was downloaded from the Prunus mume Genome Project (http://prunusmumegenome.bjfu.edu.cn) .
Chromosome location, gene structure, and conserved motifs in the PbNAC family
We obtained information on the detailed chromosome location of each PbNAC gene from genome annotation documents . These data were then integrated and plotted by using Circos software . The gene structure of each PbNAC gene was drawn by using the Gene Structure Display Server online software package (http://gsds.cbi.pku.edu.cn/) . To investigate detailed information regarding protein motifs, the MEME tool was used to identify conserved motifs shared among PbNAC proteins . The analysis parameters were set as follows: maximum number of different motifs: 30; minimum motif width: 6; and maximum motif width: 50.
We performed multiple sequence alignment on the NAC domains of the protein sequences by using MUSCLE set at default parameters . And we constructed phylogenetic trees by using a Maximum Likelihood approach via FastTree . MrBayes 3.2 was also used to build phylogenetic trees, with parameters set as follows: lset rates = gamma, ngen = 1,000,000, samplefreq = 100, nchains = 4, stopval = 0.01, stoprule = yes and sumtburnin = 100 . Classification of PbNAC genes was performed according to their phylogenetic relationship with corresponding Arabidopsis AtNAC genes.
Synteny analysis and tests for positive selection
A method similar to PGDD (http://chibba.agtec.uga.edu/duplication/) was used to perform synteny analysis . First, we identified potential homologous gene pairs where the E-value was less than 1e-5. Next, 15 genes were extracted from the left and right side of NAC genes. The minimum number of homologous gene pairs in synteny was 3, and the E-value of the common linear section was 0.01. The Q-value was 0.9. If the alignment of the homologous pairs between these two chromosomal segments were considered to follow a linear relationship (determined by the correlation coefficient of the linear regression), we concluded that there was a collinear relationship between the two fragments, which was presumably due to WGD or segmental duplication. MCScanX downstream analysis tools were used to annotate the Ka and Ks substitution rates of syntenic gene pairs. The average Ks value of homologous pairs in the collinear section reflected the approximate time of replication. We took Ka/Ks < 1 to be indicative of negative selection, while a value equal to 1 indicated neutral selection, and > 1 indicated positive selection. We selected collinear segments where the Ks value was < 0.3 with its sub-family as the background. A program package for phylogenetic analysis by maximum likelihood (PAML) was then used to inspect branch sites .
Illumina sequencing and data analysis
Three-month-old Pyrus ussuriensis seedlings were collected from an experimental nursery at National Center of Pear Engineering Technology Research, Nanjing Agricultural University. In order to remove physiological and environment influences, shoots of similar length and age of seedling were chosen. Uniform and healthy plants were carefully and extensively washed and placed in a growth chamber at 26 °C with a 16 h light/8 h dark photoperiod for 2 d. For the drought treatment, the seedlings were put on clean filter papers (90 × 90 mm) and allowed to dry for 0, 1, 3 and 6 h in an ambient environment at 26 °C, followed by recovery in water at 26 °C for 24 h. For the cold treatment, the plants were transferred to 4 °C growth chambers for continuous treatment for 0, 5, 12 and 24 h, followed by recovery at 26 °C for 24 h. For each time point, at least 30 seedlings were used, and the collected samples and stored at − 80 °C until use. Total RNA from samples was isolated as described by Huang et al. (2015) . Solexa/Illumina sequencing was done as described by Qi et al. (2013) . There was one biological replicate in RNA-seq. The raw sequence data analysis and base calling was performed by an Illumina instrument software Analyzer at BGI-Shenzhen. Next, clean sequencing reads were mapped onto the pear genome reference reported by Wu et al. (2013) . An improved ultrafast tool for short read alignment (SOAP) aligner/SOAP2 was subsequently used to identify continuous gene regions . To obtain high quality transcriptomic data, a maximum of two mismatches in clean reads was permitted, and unique mapped reads were used for further analysis. Reads per kb per million reads (RPKM) were used to obtain gene expression levels . Differentially expressed genes (DEGs) were evaluated by using the XYZ R package, with the threshold of significance requiring an FDR ≤0.001 and an absolute value of log2(fold-change) ≥ 1. InterPro domains  were annotated by InterProScan Release 36.0  to investigate gene expression profiling, and functional assignments were mapped onto GO terms . GO enrichment analysis of genes in this study was performed using WEGO . Enriched KEGG pathways were investigated according to their P-values and enrichment factors . This was performed by conducting a BLAST search against the KEGG database, and then indicating the relevant KEGG pathway.
To validate expression patterns obtained by the digital transcript abundance measurements, eleven genes were analyzed using qRT-PCR and the primers were in Additional file 12: Table S10. The RNA samples for digital transcript abundance measurements were also used for qRT-PCR. Total RNA was treated with DNase I to remove genomic DNA contamination. Approximately 1 μg of total RNA was used as a template for reverse transcription using ReverTra Ace- α First Strand cDNA Synthesis Kit (TOYOBO, TOYOBO Biotech, Japan) according to the manufacturers’ instructions. QRT-PCR was performed on a Lightcycler480 (Roche), by using the SYBR® Green Premix kit (TaKaRa Biotechnology, Dalian, China) . The composition of the PCR mix was as follows: 10 μl 2 X SYBR Premix ExTaq™, 2.5 μl each primer, and 1 μl of cDNA template in a final volume of 20 μl . All reactions were run as duplicates in 96-well plates. Three replicates of each technique were used and the data was shown as mean ± standard error (SE) (n = 3). Relative expression levels were calculated by using the 2-ΔΔCt method and normalizing to expression of the pear tubulin gene (AB239681) was used as an internal control . The protocol for real-time PCR was as follows: initiation with a 10 min denaturation at 95 °C, followed by 55 cycles of amplification with 15 s of denaturation at 95 °C, 15 s of annealing at 58 °C and 20 s of extension at 72 °C. Reads for fluorescence data collection occurred at 60 °C. A melting curve was performed from 60 to 95 °C to check the specificity of the amplified product .
ABSCISIC ACID-RESPONSIVE ELEMENT BINDING PROTEIN 1
Differentially expressed genes
Early Responsive To Dehydration Stress 1
Kyoto Encyclopedia of Genes and Genomes
a program package for phylogenetic analysis by maximum likelihood
Plant Genome Duplication Database
quantitative real-time PCR
the linear regression coefficient
an improved ultrafast tool for short read alignment
Luscombe NM, Thornton JM. Protein-DNA interactions: amino acid conservation and the effects of mutations on binding specificity. J Mol Biol. 2002;320(5):991–1009.
Badis G, Berger MF, Philippakis AA, Talukder S, Gehrke AR, Jaeger SA, et al. Diversity and complexity in DNA recognition by transcription factors. Science. 2009;324(5935):1720–3.
Riechmann JL, Heard J. MartinG, Reuber L, Jiang C, Keddie J, et al. Arabidopsis transcription factors: genome-wide comparative analysis among eukaryotes. Science. 2000;290(5499):2105–10.
Hu R, Qi G, Kong Y, Kong D, Gao Q, Zhou G. Comprehensive analysis of NAC domain transcription factor gene family in Populus trichocarpa. BMC Plant Biol. 2010;10(1):145.
Hobert O. Gene regulation by transcription factors and microRNAs. Science. 2008;319(5871):1785–6.
Souer E, van Houwelingen A, Kloos D, Mol J, Koes R. The no apical meristem gene of Petunia is required for pattern formation in embryos and flowers and is expressed at meristem and primordia boundaries. Cell. 1996;85(2):159–70.
Nuruzzaman M, Sharoni AM, Kikuchi S. Roles of NAC transcription factors in the regulation of biotic and abiotic stress responses in plants. Front Microbiol. 2013;4:248.
Aida M, Ishida T, Fukaki H, Fujisawa H, Tasaka M. Genes involved in organ separation in Arabidopsis: an analysis of the cup-shaped cotyledon mutant. Plant Cell. 1997;9(6):841–57.
Hibara KI, Takada S, Tasaka M. CUC1 gene activates the expression of SAM-related genes to induce adventitious shoot formation. Plant J. 2003;36(5):687–96.
Nikovics K, Blein T, Peaucelle A, Ishida T, Morin H, Aida M, et al. The balance between the MIR164A and CUC2 genes controls leaf margin serration in Arabidopsis. Plant Cell. 2006;18(11):2929–45.
Sablowski RW, Meyerowitz EM. A homolog of NO APICAL MERISTEM is an immediate target of the floral homeotic genes APETALA3/PISTILLATA. Cell. 1998;92(1):93–103.
He XJ, Mu RL, Cao WH, Zhang ZG, Zhang JS, Chen SY. AtNAC2, a transcription factor downstream of ethylene and auxin signaling pathways, is involved in salt stress response and lateral root development. Plant J. 2005;44(16):903–16.
Xie Q, Frugis G, Colgan D, Chua N. Arabidopsis NAC1 transduces auxin signal downstream of TIR1 to promote lateral root development. Genes Dev. 2000;14(23):3024–36.
Guo Y, Gan S. AtNAP, a NAC family transcription factor, has an important role in leaf senescence. Plant J. 2006;46(4):601–12.
Uauy C, Distelfeld A, Fahima T, Blechl A, Dubcovsky J. A NAC gene regulating senescence improves grain protein, zinc, and iron content in wheat. Science. 2006;314(5803):1298–301.
Kim S, Kim S, Park C. A membrane-associated NAC transcription factor regulates salt-responsive flowering via FLOWERING LOCUS T in Arabidopsis. Planta. 2007;226(3):647–54.
Yoo SY, Kim Y, Kim SY, Lee JS, Ahn JH. Control of flowering time and cold response by a NAC-domain protein in Arabidopsis. PLoS One. 2007;2(7):e642.
Larsson E, Sitbon F, Sundström J, von Arnold S. NAC regulation of embryo development in conifers. BMC Proc. 2011;5(7):67.
Kim YS, Kim SG, Park JE, Park HY, Lim MH, Chua NH, et al. A membrane-bound NAC transcription factor regulates cell division in Arabidopsis. Plant Cell. 2006;18(11):3132–44.
Kato H, Motomura T, Komeda Y, Saito T, Kato A. Overexpression of the NAC transcription factor family gene ANAC036 results in a dwarf phenotype in Arabidopsis thaliana. J Plant Physiol. 2010;167(7):571–7.
Willemsen V, Bauch M, Bennett T, Campilho A, Wolkenfelt H, Xu J, et al. The NAC domain transcription factors FEZ and SOMBRERO control the orientation of cell division plane in Arabidopsis root stem cells. Dev Cell. 2008;15(6):913–22.
Mao C, Ding W, Wu Y, Yu J, He X, Shou H, et al. Over-expression of a NAC-domain protein promotes shoot branching in rice. New Phytol. 2007;176(2):288–98.
Fujita M, Fujita Y, Maruyama K, Seki M, Hiratsu K, Ohme Takagi M, et al. A dehydration-induced NAC protein, RD26, is involved in a novel ABA-dependent stress-signaling pathway. Plant J. 2004;39(6):863–76.
Jensen MK, Hagedorn PH, Torres Zabala D, Grant MR, Rung JH, Collinge DB, et al. Transcriptional regulation by an NAC (NAM-ATAF1, 2-CUC2) transcription factor attenuates ABA signalling for efficient basal defense towards Blumeria graminis f. sp. hordei in Arabidopsis. Plant J. 2008;56(6):867–80.
Waters BM, Uauy C, Dubcovsky J, Grusak MA. Wheat (Triticum aestivum) NAM proteins regulate the translocation of iron, zinc, and nitrogen compounds from vegetative tissues to grain. J Exp Bot. 2009;60(15):4263–74.
Mao X, Zhang H, Qian X, Li A, Zhao G, Jing R. TaNAC2, a NAC-type wheat transcription factor conferring enhanced multiple abiotic stress tolerances in Arabidopsis. J Exp Bot. 2012;63(8):2933–46.
Hickman R, Hill C, Penfold CA, Breeze E, Bowden L, Moore JD, et al. A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves. Plant J. 2013;75(1):26–39.
Tran LSP, Nakashima K, Sakuma Y, Simpson SD, Fujita Y, Maruyama K, et al. Isolation and functional analysis of Arabidopsis stress-inducible NAC transcription factors that bind to a drought-responsive cis-element in the early responsive to dehydration stress 1 promoter. Plant Cell. 2004;16(9):2481–98.
Sakuraba Y, Kim YS, Han SH, Lee BD, Paek NC. The Arabidopsis transcription factor NAC016 promotes drought stress responses by repressing AREB1 transcription through a trifurcate feed-forward regulatory loop involving NAP. Plant Cell. 2015;27:1771–87.
Fang Y, You J, Xie K, Xie W, Xiong L. Systematic sequence analysis and identification of tissue-specific or stress-responsive genes of NAC transcription factor family in rice. Mol Gen Genomics. 2008;280(6):547–63.
Le DT, Nishiyama RIE, Watanabe Y, Mochida K, Yamaguchi-Shinozaki K, Shinozaki K, et al. Genome-wide survey and expression analysis of the plant-specific NAC transcription factor family in soybean during development and dehydration stress. DNA Res. 2011;18(4):263–76.
Shao H, Wang H, Tang X. NAC Transcription factors in plant multiple abiotic stress responses: progress and prospects. Front. Plant Sci. 2015;6:902.
Hao YJ, Wei W, Song QX, Chen HW, Zhang YQ, Wang F, et al. Soybean NAC transcription factors promote abiotic stress tolerance and lateral root formation in transgenic plants. Plant J. 2011;68:302–13.
Pandurangaiah M, Rao GL, Sudhakarbabu O, Nareshkumar A, Kiranmai K, Lokesh U, et al. Overexpression of horsegram (Macrotyloma uniflorum Lam. Verdc.) NAC transcriptional factor (MuNAC4) in groundnut confers enhanced drought tolerance. Mol Biotechnol. 2014;56(8):758–69.
Huang Q, Wang Y, Li B, Chang J, Chen M, Li K, et al. TaNAC29, a NAC transcription factor from wheat, enhances salt and drought tolerance in transgenic Arabidopsis. BMC Plant Biol. 2015;15(1):268.
Xue GP, Way HM, Richardson T, Drenth J, Joyce PA, McIntyre CL. Overexpression of TaNAC69 leads to enhanced transcript levels of stress upregulated genes and dehydration tolerance in bread wheat. Mol Plant. 2011;4(4):697–712.
Voitsik AM, Muench S, Deising HB, Voll LM. Two recently duplicated maize NAC transcription factor paralogs are induced in response to Colletotrichum graminicola infection. BMC Plant Biol. 2013;13(1):85.
Fan K, Wang M, Miao Y, Ni M, Bibi N, Yuan S, et al. Molecular evolution and expansion analysis of the NAC transcription factor in Zea mays. PLoS One. 2014;9(11):e111837.
Lu M, Ying S, Zhang DF, Shi YS, Song YC, Wang TY, et al. A maize stress-responsive NAC transcription factor, ZmSNAC1, confers enhanced tolerance to dehydration in transgenic Arabidopsis. Plant Cell Rep. 2012;31(9):1701–11.
Hegedus D, Yu M, Baldwin D, Gruber M, Sharpe A, Parkin I, et al. Molecular characterization of Brassica napus NAC domain transcriptional activators induced in response to biotic and abiotic stress. Plant Mol Biol. 2003;53(3):383–97.
Collinge M, Boller T. Differential induction of two potato genes, Stprx2 and StNAC, in response to infection by Phytophthora infestans and to wounding. Plant Mol Biol. 2001;46(5):521–9.
Huang X, Li K, Xu X, Yao Z, Jin C, Zhang S. Genome-wide analysis of WRKY transcription factors in white pear (Pyrus bretschneideri) reveals evolution and patterns under drought stress. BMC Genomics. 2015;16(1):1104.
Wu J, Wang Z, Shi Z, Zhang S, Ming R, Zhu S, et al. The genome of the pear (Pyrus bretschneideri Rehd.). Genome Res. 2013;23(2):396–408.
Su H, Zhang S, Yuan X, Chen C, Wang X, Hao Y. Genome-wide analysis and identification of stress-responsive genes of the NAM-ATAF1, 2-CUC2 transcription factor family in apple. Plant Physiol Bioch. 2013;71:11–21.
DeGrassi A. LanaveC, Saccone C. genome duplication and gene-family evolution: the case of three OXPHOS gene families. Gene. 2008;421(1):1–6.
Chothia C, Gough J, Vogel C, Teichmann SA. Evolution of the protein repertoire. Science. 2003;300(5626):1701–3.
Ohno S, Wolf U, Atkin NB. Evolution from fish to mammals by gene duplication. Hereditas. 1968;59(1):169–87.
Wang Y, Tang H, DeBarry JD, Tan X, Li J, Wang X, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7):49.
Fawcett JA, Maere S, Van de Peer Y. Plants with double genomes might have had a better chance to survive the Cretaceous-Tertiary extinction event. P Natl Acad Sci USA.2009;106(14):5737–42.
Starr TK, Jameson SC, Hogquist KA. Positive and negative selection of T cells. Annu Rev Immunol. 2003;21(1):139–76.
Fang Y, Liao K, Du H, Xu Y, Song H, Li X, et al. A stress-responsive NAC transcription factor SNAC3 confers heat and drought tolerance through modulation of reactive oxygen species in rice. J Exp Bot. 2015;66(21):6803–17.
Hong Y, Zhang H, Huang L, Li D, Song F. Overexpression of a stress-responsive NAC transcription factor gene ONAC022 improves drought and salt tolerance in rice. Front Plant Sci. 2016;7:4.
Zhang L, Zhang L, Xia C, Zhao G, Jia J, Kong X. The novel wheat transcription factor TaNAC47 enhances multiple abiotic stress tolerances in transgenic plants. Front Plant Sci. 2016;6:1174.
Huang G, Li W, Zhou W, Zhang J, Li D, Gong S, et al. Seven cotton genes encoding putative NAC domain proteins are preferentially expressed in roots and in responses to abiotic stress during root development. Plant Growth Regul. 2013;71(2):101–12.
André CM, Schafleitner R, Legay S, Lefèvre I, Aliaga CAA, Nomberto G, et al. Gene expression changes related to the production of phenolic compounds in potato tubers grown under drought stress. Phytochemistry. 2009;70(9):1107–16.
AkulaR RGA. Influence of abiotic stress signals on secondary metabolites in plants. Plant Signal Behav. 2011;6(11):1720–31.
Puranik S, Sahu PP, Srivastava PS, Prasad M. NAC proteins: regulation and role in stress tolerance. Trends Plant Sci. 2012;17(6):369–81.
Olsen AN, Ernst HA, Leggio LL, Skriver K. NAC transcription factors: structurally distinct, functionally diverse. Trends Plant Sci. 2005;10(2):79–87.
Nuruzzaman M, Manimekalai R, Sharoni AM, Satoh K, Kondoh H, Ooka H, et al. Genome-wide analysis of NAC transcription factor family in rice. Gene. 2010;456(1):30–44.
You J, Zhang L, Song B, Qi X, Chan Z. Systematic analysis and identification of stress-responsive genes of the NAC gene family in Brachypodium distachyon. PLoS One. 2015;10(3):e0122027.
Li X, Xue C, Li J, Qiao X, Li L, Yu L, et al. Genome-wide identification, evolution and functional divergence of MYB transcription factors in Chinese white pear (Pyrus bretschneideri). Plant Cell Physiol. 2016;57(4):824–47.
Naor A. Irrigation and crop load influence fruit size and water relations in field-grown Spadona pear. J Am SocHortic Sci. 2001;126(2):252–5.
Lopez G, Larrigaudière C, Girona J, Behboudian MH, Marsal J. Fruit thinning in ‘conference’ pear grown under deficit irrigation: implications for fruit quality at harvest and after cold storage. SciHortic-Amesterdam. 2011;129(1):64–70.
Wang L, Li Z, Lu M, Wang Y. ThNAC13, a NAC transcription factor from Tamarix hispida, confers salt and osmotic stress tolerance to transgenic Tamarixand Arabidopsis. Front Plant Sci. 2017;8:635.
Jeong JS, Kim YS, Redillas MC, Jang G, Jung H, Bang SW, et al. OsNAC5 overexpression enlarges root diameter in rice plants leading to enhanced drought tolerance and increased grain yield in the field. Plant Biotechnol J. 2013;11(1):101–14.
Mao X, Chen S, Li A, Zhai C, Jing R. Novel NAC transcription factor TaNAC67 confers enhanced multi-abiotic stress tolerances in Arabidopsis. PLoS One. 2014;9(1):e84359.
Tang Y, Liu M, Gao S, Zhang Z, Zhao X, Zhao C, et al. Molecular characterization of novel TaNAC genes in wheat and overexpression of TaNAC2a confers drought tolerance in tobacco. Physiol Plantarum. 2012;144(3):210–24.
Lu PL, Chen NZ, An R, Su Z, Qi BS, Ren F, et al. A novel drought-inducible gene, ATAF1, encodes a NAC family protein that negatively regulates the expression of stress-responsive genes in Arabidopsis. Plant Mol Biol. 2007;63(2):289–305.
Bu Q, Jiang H, Li C, Zhai Q, Zhang J, Wu X, et al. Role of the Arabidopsis thaliana NAC transcription factors ANAC019 and ANAC055 in regulating jasmonic acid-signaled defense responses. Cell Res. 2008;18(7):756.
Hu H, You J, Fang Y, Zhu X, Qi Z, Xiong L. Characterization of transcription factor gene SNAC2 conferring cold and salt tolerance in rice. Plant Mol Biol. 2008;67(1–2):169–81.
Jeong JS, Kim YS, Baek KH, Jung H, Ha S, Do Choi Y, et al. Root-specific expression of OsNAC10 improves drought tolerance and grain yield in rice under field drought conditions. Plant Physiol. 2010;153(1):185–97.
Jensen MK, Kjaersgaard T, Nielsen MM, Galberg P, Petersen K, O'Shea C, et al. The Arabidopsis thaliana NAC transcription factor family: structure-function relationships and determinants of ANAC019 stress signalling. Biochem J. 2010;426(2):183–96.
Swarbreck D, Wilks C, Lamesch P, Berardini TZ, Garcia-Hernandez M, Foerster H, et al. The Arabidopsis Information Resource (TAIR): gene structure and function annotation. Nucleic Acids Res. 2007;36(suppl_1):1009–14.
Eddy SR. Profile hidden Markov models. Bioinformatics. 1998;14(9):755–63.
Hunter S, Jones P, Mitchell A, Apweiler R, Attwood TK, Bateman A, et al. InterPro in 2011: new developments in the family and domain prediction database. Nucleic Acids Res. 2011;40(1):306–12.
Qiao X, Li M, Li L, Yin H, Wu J, Zhang S. Genome-wide identification and comparative analysis of the heat shock transcription factor family in Chinese white pear (Pyrus bretschneideri) and five other Rosaceae species. BMC Plant Biol. 2015;15(1):12.
Krzywinski MI, Schein JE, Birol I, Connors J, Gascoyne R, Horsman D, et al. Circos: an information aesthetic for comparative genomics. Genome Res. 2009;19:1639–45.
Guo AY, Zhu QH, Chen X, Luo JC. GSDS: a gene structure display server. Yi chuan=Hereditas. 2007;29(8):1023–6.
Bailey TL, Williams N, Misleh C, Li WW. MEME: discovering and analyzing DNA and protein sequence motifs. Nucleic Acids Res. 2006;34(suppl_2):369–73.
Edgar RC. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics. 2004;5(1):113.
Price MN, Dehal PS, Arkin AP. FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol. 2009;26(7):1641–50.
Ronquist F, Teslenko M, Van Der Mark P, Ayres DL, Darling A, et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012;61(3):539–42.
Lee TH, Tang H, Wang X, Paterson AH. PGDD: a database of gene and genome duplication in plants. Nucleic Acids Res. 2012;41(1):1152–8.
Yang Z. PAML: a program package for phylogenetic analysis by maximum likelihood. Bioinformatics. 1997;13(5):555–6.
Huang X, Li K, Jin C, Zhang S. ICE1 of Pyrus ussuriensis functions in cold tolerance by enhancing PuDREBa transcriptional levels through interacting with PuHHP1. Sci Rep-UK. 2015;5:17620.
Qi X, Wu J, Wang L, Li L, Cao Y, Tian L, et al. Identifying the candidate genes involved in the calyx abscission process of ‘Kuerlexiangli’ (Pyrus sinkiangensis Yu) by digital transcript abundance measurements. BMC Genomics. 2013;14(1):727.
Li R, Yu C, Li Y, Lam TW, Yiu SM, Kristiansen K, et al. SOAP2: an improved ultrafast tool for short read alignment. Bioinformatics. 2009;25(15):1966–7.
Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods. 2008;5(7):621.
Mulder NJ, Apweiler R, Attwood TK, Bairoch A, Barrell D, Bateman A, et al. The InterPro database, 2003 brings increased coverage and new features. Nucleic Acids Res. 2003;31(1):315–8.
Zdobnov EM, Apweiler R. InterProScan-an integration platform for the signature-recognition methods in InterPro. Bioinformatics.2001(9);17:847–8.
Consortium GO. The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res. 2004;32(suppl_1):258–61.
Ye J, Fang L, Zheng H, Zhang Y, Chen J, Zhang Z, et al. WEGO: a web tool for plotting GO annotations. Nucleic Acids Res. 2006;34(suppl_2):293–7.
Kanehisa M, Goto S, Hattori M, Aoki-Kinoshita KF, Itoh M, Kawashima S, et al. From genomics to chemical genomics: new developments in KEGG. Nucleic Acids Res. 2006;34:354–7.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods. 2001;25(4):402–8.
The authors would like to thank anonymous reviewers for comments on this manuscript.
The design of the experiment and the collection of samples were supported by the National Key Research and Development Program of China (2018YFD1000300) and the National Science Foundation of China (31872070). Illumina sequencing and data analysis were supported by the Excellent Youth Natural Science Foundation of Jiangsu Province (SBK2017030026) and the Jiangsu Agriculture Science and Technology Innovation Fund (CX(18)3065). The manuscript was written with the funding from the Fundamental Research Funds for the Central Universities of Nanjing Agricultural University (KYZ201607) and the College of Horticulture SRT project of the Nanjing Agriculture University (20170301, 20170302, 2017007).
Availability of data and materials
The drought transcriptome sequencing raw data used in this study has been uploaded to the NCBI (https://www.ncbi.nlm.nih.gov/Traces/study/?acc=SRP148620).
Ethics approval and consent to participate
The genome database of Chinese White Pear is acquired from Center of Pear Engineering Technology Research; the samples of ‘Pyrus ussuriensis’ were collected from Jiangpu farmin Nanjing Agricultural University. The genome database, is applied for our research under the permission of Center of Pear Engineering Technology Research.
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The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Table S1 Basic information of NAC genes in five Rosaceae species. (XLSX 66 kb)
Table S2. Domains in NAC genes in Pyrus bretschneideri. (PDF 79 kb)
Table S3. Nineteen unique Rosaceae subgroups. (PDF 57 kb)
Table S4. Numbers of NAC genes from WGD/segmental duplication events in five Rosaceae genomes. (PDF 53 kb)
Table S5. Synteny related to genes in the NAC gene family in P. bretschneideri. (PDF 55 kb)
Figure S1. Coefficients of determination of PbNAC73a and PbNAC73b .Figure S2. Segmental duplication between members of PbNAC73a and PbNAC73b. (ZIP 25 kb)
Figure S3. Distribution of mean Ks values of PbNAC gene pairs in synteny blocks. (PDF 6 kb)
Table S6 Ka/Ks related to genes in the NAC gene family in P. bretschneideri. (PDF 48 kb)
Table S7 Positive selection of current WGD/segmental duplication using branch-site model A. (PDF 68 kb)
Table S8 Up-regulated genes in response to drought treatment. (XLSX 10 kb)
Table S9 Up-regulated genes in response to cold treatment. (XLSX 9 kb)
Table S10 Primer details for genes selected for quantitative real-time PCR analysis from results of digital transcript abundance measurements. (PDF 50 kb)
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Cite this article
Gong, X., Zhao, L., Song, X. et al. Genome-wide analyses and expression patterns under abiotic stress of NAC transcription factors in white pear (Pyrus bretschneideri). BMC Plant Biol 19, 161 (2019) doi:10.1186/s12870-019-1760-8
- Evolutionary pattern
- Expression divergence
- Gene duplication
- NAC gene family
- Drought stress
- Cold stress