Allelic variation of BBX24 is a dominant determinant controlling red coloration and dwarfism in pear.

Variation in anthocyanin biosynthesis in pear fruit provides genetic germplasm resources for breeding, while dwarfing is an important agronomic trait, which is beneficial to reduce the management costs and allow for the implementation of high-density cultivation. Here, we combined bulked segregant analysis (BSA), quantitative trait loci (QTL), and structural variation (SV) analysis to identify a 14-bp deletion which caused a frame shift mutation and resulted in the premature translation termination of a B-box (BBX) family of zinc transcription factor, PyBBX24, and its allelic variation termed PyBBX24ΔN14. PyBBX24ΔN14 overexpression promotes anthocyanin biosynthesis in pear, strawberry, Arabidopsis, tobacco, and tomato, while that of PyBBX24 did not. PyBBX24ΔN14 directly activates the transcription of PyUFGT and PyMYB10 through interaction with PyHY5. Moreover, stable overexpression of PyBBX24ΔN14 exhibits a dwarfing phenotype in Arabidopsis, tobacco, and tomato plants. PyBBX24ΔN14 can activate the expression of PyGA2ox8 via directly binding to its promoter, thereby deactivating bioactive GAs and reducing the plant height. However, the nuclear localization signal (NLS) and Valine-Proline (VP) motifs in the C-terminus of PyBBX24 reverse these effects. Interestingly, mutations leading to premature termination of PyBBX24 were also identified in red sports of un-related European pear varieties. We conclude that mutations in PyBBX24 gene link both an increase in pigmentation and a decrease in plant height.

Genomic insights into domestication and genetic improvement of fruit crops.

Fruit crops cultivated in almost all countries and regions around the world serve as important agricultural commodities of significant economic value because they contribute to overall food security by providing a diverse food and nutrient supply to sustain human life and human health. Recent advances in high-throughput sequencing technologies offer unprecedented opportunities for pursuing genomic and genetic studies of fruit crops. Here, we will review major advances in fruit crop genome sequencing efforts undertaken over the past 15 years that have contributed to significant accumulation of publicly available genomic resources. We will highlight the expanding pool of genomic data that offer unprecedented opportunities to better unravel the genetic origin and domestication of fruit trees, as well as in deciphering the genetics of important horticultural traits of these fruit trees. Furthermore, we will explore how utilization of these genetic features of fruit trees along with new genomic-assisted tools, including genomic selection and gene editing, are informing and guiding plant geneticists and breeders in moving forward in their fruit crop breeding efforts. Finally, we will outline future prospects and unresolved questions that remain in both genomic research and genetic improvement of fruit crops.

The pear genomics database (PGDB): a comprehensive multi-omics research platform for Pyrus spp.

BACKGROUND: Pears are among the most important temperate fruit trees in the world, with significant research efforts increasing over the last years. However, available omics data for pear cannot be easily and quickly retrieved to enable further studies using these biological data. DESCRIPTION: Here, we present a publicly accessible multi-omics pear resource platform, the Pear Genomics Database (PGDB). We collected and collated data on genomic sequences, genome structure, functional annotation, transcription factor predictions, comparative genomics, and transcriptomics. We provide user-friendly functional modules to facilitate querying, browsing and usage of these data. The platform also includes basic and useful tools, including JBrowse, BLAST, phylogenetic tree building, and additional resources providing the possibility for bulk data download and quick usage guide services. CONCLUSIONS: The Pear Genomics Database (PGDB, http://pyrusgdb.sdau.edu.cn ) is an online data analysis and query resource that integrates comprehensive multi-omics data for pear. This database is equipped with user-friendly interactive functional modules and data visualization tools, and constitutes a convenient platform for integrated research on pear.

Auxin inhibits lignin and cellulose biosynthesis in stone cells of pear fruit via the PbrARF13-PbrNSC-PbrMYB132 transcriptional regulatory cascade.

Stone cells are often present in pear fruit, and they can seriously affect the fruit quality when present in large numbers. The plant growth regulator NAA, a synthetic auxin, is known to play an active role in fruit development regulation. However, the genetic mechanisms of NAA regulation of stone cell formation are still unclear. Here, we demonstrated that exogenous application of 200 µM NAA reduced stone cell content and also significantly decreased the expression level of PbrNSC encoding a transcriptional regulator. PbrNSC was shown to bind to an auxin response factor, PbrARF13. Overexpression of PbrARF13 decreased stone cell content in pear fruit and secondary cell wall (SCW) thickness in transgenic Arabidopsis plants. In contrast, knocking down PbrARF13 expression using virus-induced gene silencing had the opposite effect. PbrARF13 was subsequently shown to inhibit PbrNSC expression by directly binding to its promoter, and further to reduce stone cell content. Furthermore, PbrNSC was identified as a positive regulator of PbrMYB132 through analyses of co-expression network of stone cell formation-related genes. PbrMYB132 activated the expression of gene encoding cellulose synthase (PbrCESA4b/7a/8a) and lignin laccase (PbrLAC5) binding to their promotors. As expected, overexpression or knockdown of PbrMYB132 increased or decreased stone cell content in pear fruit and SCW thickness in Arabidopsis transgenic plants. In conclusion, our study shows that the 'PbrARF13-PbrNSC-PbrMYB132' regulatory cascade mediates the biosynthesis of lignin and cellulose in stone cells of pear fruit in response to auxin signals and also provides new insights into plant SCW formation.

Rearrangement and domestication as drivers of Rosaceae mitogenome plasticity.

BACKGROUND: The mitochondrion is an important cellular component in plants and that functions in producing vital energy for the cell. However, the evolution and structure of mitochondrial genomes (mitogenomes) remain unclear in the Rosaceae family. In this study, we assembled 34 Rosaceae mitogenomes and characterized genome variation, rearrangement rate, and selection signal variation within these mitogenomes. RESULTS: Comparative analysis of six genera from the Amygdaloideae and five from the Rosoideae subfamilies of Rosaceae revealed that three protein-coding genes were absent from the mitogenomes of five Rosoideae genera. Positive correlations between genome size and repeat content were identified in 38 Rosaceae mitogenomes. Twenty repeats with high recombination frequency (> 50%) provided evidence for predominant substoichiometric conformation of the mitogenomes. Variations in rearrangement rates were identified between eleven genera, and within the Pyrus, Malus, Prunus, and Fragaria genera. Based on population data, phylogenetic inferences from Pyrus mitogenomes supported two distinct maternal lineages of Asian cultivated pears. A Pyrus-specific deletion (DEL-D) in selective sweeps was identified based on the assembled genomes and population data. After the DEL-D sequence fragments originally arose, they may have experienced a subsequent doubling event via homologous recombination and sequence transfer in the Amygdaloideae; afterwards, this variant sequence may have significantly expanded to cultivated groups, thereby improving adaptation during the domestication process. CONCLUSIONS: This study characterizes the variations in gene content, genome size, rearrangement rate, and the impact of domestication in Rosaceae mitogenomes and provides insights into their structural variation patterns and phylogenetic relationships.

Genome-Wide Identification and Evolution of the GRF Gene Family and Functional Characterization of PbGRF18 in Pear.

Proteins encoded by the G-box regulating factor (GRF, also called 14-3-3) gene family are involved in protein-protein interactions and mediate signaling transduction, which play important roles in plant growth, development, and stress responses. However, there were no detailed investigations of the GRF gene family in pear at present. In this study, we identified 25 GRF family members in the pear genome. Based on a phylogenetic analysis, the 25 GRF genes were clustered into two groups; the ε group and the non-ε group. Analyses of the exon-intron structures and motifs showed that the gene structures were conserved within each of the ε and non-ε groups. Gene duplication analysis indicated that most of the PbGRF gene expansion that occurred in both groups was due to WGD/segmental duplication. Phosphorylation sites analysis showed that the main phosphorylation sites of PbGRF proteins were serine residues. For gene expression, five PbGRF genes (PbGRF7, PbGRF11, PbGRF16, PbGRF21, and PbGRF23) were highly expressed in fruits, and PbGRF18 was highly expressed in all tissues. Further analysis revealed that eight PbGRF genes were significantly differentially expressed after treatment with different sugars; the expression of PbGRF7, PbGRF8, and PbGRF11 significantly increased, implying the involvement of these genes in sugar signaling. In addition, subcellular localization studies showed that the tested GRF proteins localize to the plasma membrane, and transgenic analysis showed that PbGRF18 can increase the sugar content in tomato leaves and fruit. The results of our research establish a foundation for functional determination of PbGRF proteins, and will help to promote a further understanding of the regulatory network in pear fruit development.

Comparison of structural variants detected by PacBio-CLR and ONT sequencing in pear.

BACKGROUND: Structural variations (SVs) have recently become a topic of great interest in the area of genetic diversity and trait regulation. As genomic sequencing technologies have rapidly advanced, longer reads have been used to identify SVs at high resolution and with increased accuracy. It is important to choose a suitable sequencing platform and appropriate sequencing depth for SV detection in the pear genome. RESULTS: In this study, two types of long reads from sequencing platforms, continuous long reads from Pacific Biosciences (PB-CLR) and long reads from Oxford Nanopore Technologies (ONT), were used to comprehensively analyze and compare SVs in the pear genome. The mapping rate of long reads was higher when the program Minimap2 rather than the other three mapping tools (NGMLR, LRA and Winnowmap2) was used. Three SV detection programs (Sniffles_v2, CuteSV, and Nanovar) were compared, and Nanovar had the highest sensitivity in detecting SVs at low sequencing depth (10-15×). A sequencing depth of 15× was suitable for SV detection in the pear genome using Nanovar. SVs detected by Sniffles_v2 and CuteSV with ONT reads had the high overlap with presence/absence variations (PAVs) in the pear cultivars 'Bartlett' and 'Dangshansuli', both of them with 38% of insertions and 55% of deletions overlapping with PAVs at sequencing depth of 30×. For the ONT sequencing data, over 37,526 SVs spanning ~ 28 Mb were identified by all three software packages for the 'Bartlett' and 'Dangshansuli' genomes. Those SVs were annotated and combined with transcriptome profiles derived from 'Bartlett' and 'Dangshansuli' fruit flesh at 60 days after cross-pollination. Several genes related to levels of sugars, acid, stone cells, and aromatic compounds were identified among the SVs. Transcription factors were then predicted among those genes, and results included bHLH, ERF, and MYB genes. CONCLUSION: SV detection is of great significance in exploring phenotypic differences between pear varieties. Our study provides a framework for assessment of different SV software packages and sequencing platforms that can be applied in other plant genome studies. Based on these analyses, ONT sequencing data was determined to be more suitable than PB-CLR for SV detection in the pear genome. This analysis model will facilitate screening of genes related to agronomic traits in other crops.

Dexmedetomidine alleviates sevoflurane-induced neuroinflammation and neurocognitive disorders by suppressing the P2X4R/NLRP3 pathway in aged mice.

PURPOSE: Microglia-mediated inflammation is associated with perioperative neurocognitive disorders (PNDs) caused by sevoflurane. Dexmedetomidine has been reported to protect against sevoflurane-induced cognitive impairment. In this study, we investigated the effects and underlying mechanisms of dexmedetomidine on sevoflurane-induced microglial neuroinflammation and PNDs. METHODS: Wild-type and purinergic ionotropic 4 receptor (P2X4R) overexpressing C57/BL6 mice were intraperitoneally injected with 20 µg/kg dexmedetomidine or an equal volume of normal saline 2 h prior to sevoflurane exposure. The Morris water maze (MWM) test was performed to assess cognitive function. Immunofluorescence staining was employed to detect microglial activation. The expression levels of proinflammatory cytokines were measured by real-time quantitative PCR (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA). The protein levels of P2X4R and NOD-like receptor protein 3 (NLRP3) were detected by Western Blotting. RESULTS: Sevoflurane increased the number of microglia, upregulated the levels of proinflammatory cytokines, elevated the protein levels of P2X4R and NLRP3 in the hippocampus and induced cognitive decline, while pretreatment with dexmedetomidine downregulated the protein levels of P2X4R and NLRP3, alleviated sevoflurane-induced microglial neuroinflammation and improved cognitive dysfunction. Moreover, overexpression of P2X4R weakened the neuroprotective effect of dexmedetomidine. CONCLUSIONS: Dexmedetomidine protected against sevoflurane-induced neuroinflammation and neurocognitive disorders by suppressing the P2X4R/NLRP3 pathway.

Comparison of multiple algorithms to reliably detect structural variants in pears.

BACKGROUND: Structural variations (SVs) have been reported to play an important role in genetic diversity and trait regulation. Many computer algorithms detecting SVs have recently been developed, but the use of multiple algorithms to detect high-confidence SVs has not been studied. The most suitable sequencing depth for detecting SVs in pear is also not known. RESULTS: In this study, a pipeline to detect SVs using next-generation and long-read sequencing data was constructed. The performances of seven types of SV detection software using next-generation sequencing (NGS) data and two types of software using long-read sequencing data (SVIM and Sniffles), which are based on different algorithms, were compared. Of the nine software packages evaluated, SVIM identified the most SVs, and Sniffles detected SVs with the highest accuracy (> 90%). When the results from multiple SV detection tools were combined, the SVs identified by both MetaSV and IMR/DENOM, which use NGS data, were more accurate than those identified by both SVIM and Sniffles, with mean accuracies of 98.7 and 96.5%, respectively. The software packages using long-read sequencing data required fewer CPU cores and less memory and ran faster than those using NGS data. In addition, according to the performances of assembly-based algorithms using NGS data, we found that a sequencing depth of 50× is appropriate for detecting SVs in the pear genome. CONCLUSION: This study provides strong evidence that more than one SV detection software package, each based on a different algorithm, should be used to detect SVs with higher confidence, and that long-read sequencing data are better than NGS data for SV detection. The SV detection pipeline that we have established will facilitate the study of diversity in other crops.

Contrasting genetic variation and positive selection followed the divergence of NBS-encoding genes in Asian and European pears.

BACKGROUND: The NBS disease-related gene family coordinates the inherent immune system in plants in response to pathogen infections. Previous studies have identified NBS-encoding genes in Pyrus bretschneideri ('Dangshansuli', an Asian pear) and Pyrus communis ('Bartlett', a European pear) genomes, but the patterns of genetic variation and selection pressure on these genes during pear domestication have remained unsolved. RESULTS: In this study, 338 and 412 NBS-encoding genes were identified from Asian and European pear genomes. This difference between the two pear species was the result of proximal duplications. About 15.79% orthologous gene pairs had Ka/Ks ratio more than one, indicating two pear species undergo strong positive selection after the divergence of Asian and European pear. We identified 21 and 15 NBS-encoding genes under fire blight and black spot disease-related QTL, respectively, suggesting their importance in disease resistance. Domestication caused decreased nucleotide diversity across NBS genes in Asian cultivars (cultivated 6.23E-03; wild 6.47E-03), but opposite trend (cultivated 6.48E-03; wild 5.91E-03) appeared in European pears. Many NBS-encoding coding regions showed Ka/Ks ratio of greater than 1, indicating the role of positive selection in shaping diversity of NBS-encoding genes in pear. Furthermore, we detected 295 and 122 significantly different SNPs between wild and domesticated accessions in Asian and European pear populations. Two NBS genes (Pbr025269.1 and Pbr019876.1) with significantly different SNPs showed >5x upregulation between wild and cultivated pear accessions, and > 2x upregulation in Pyrus calleryana after inoculation with Alternaria alternata. We propose that positively selected and significantly different SNPs of an NBS-encoding gene (Pbr025269.1) regulate gene expression differences in the wild and cultivated groups, which may affect resistance in pear against A. alternata. CONCLUSION: Proximal duplication mainly led to the different number of NBS-encoding genes in P. bretschneideri and P. communis genomes. The patterns of genetic diversity and positive selection pressure differed between Asian and European pear populations, most likely due to their independent domestication events. This analysis helps us understand the evolution, diversity, and selection pressure in the NBS-encoding gene family in Asian and European populations, and provides opportunities to study mechanisms of disease resistance in pear.

Genetic impact of methylenetetrahydrofolate reductase (MTHFR) polymorphism on the susceptibility to colorectal polyps: a meta-analysis.

BACKGROUND: There are several studies with inconsistent conclusions regarding the association between the rs1801133 and rs1801131 polymorphisms within the MTHFR (methylenetetrahydrofolate reductase) gene and colorectal polyp risk. This discrepancy led us to assess the genetic impact of the two polymorphisms on the susceptibility to colorectal polyps. METHODS: A meta-analysis was carried out for quantitative synthesis. According to the inclusion/exclusion criteria, we retrieved, screened and selected all published articles related to colorectal polyps and the MTHFR rs1801133 and rs1801131 polymorphisms. The P value of association test, RRs (risk ratios) and 95% CIs (confidence intervals) were mainly produced. RESULTS: A total of twenty-three case-control studies were included from twenty-two eligible articles. Pooling the results of both rs1801133 and rs1801131 polymorphisms in the overall population suggested a nonsignificant association between colorectal polyp cases and controls, in that all P values in the test of association were larger than 0.05. Nevertheless, pooling results in the "UK" subgroup of rs1801131, comprising five studies (1257 cases/1407 controls), indicated an elevated risk in colorectal polyp cases in comparison with controls, under the genetic models of CC vs. AA (P = 0.032, RR = 1.27, 95% CIs = 1.02, 1.57) and CC vs. AA+AC (P = 0.036, RR = 1.27, 95% CIs = 1.02, 1.60). CONCLUSION: The C/C genotype of MTHFR rs1801131 is more likely to be a genetic risk factor for colorectal polyps in the UK region, although this finding should be verified with a larger sample size.

Associations between NRAMP1 Polymorphisms and Susceptibility to Ulcerative Colitis/Crohn's Disease: A Meta-Analysis.

OBJECTIVE: Multiple environmental and genetic factors contribute to the risks of ulcerative colitis (UC) and Crohn's disease (CD). Several allelic variants have been identified in natural resistance associated macrophage protein 1 (NRAMP1) gene; however, their association with UC/CD remains conflicting. The purpose of this study was to evaluate whether NRAMP1 polymorphisms are associated with the susceptibility to UC/CD. METHODS: A meta-analysis on the association between the NRAMP1 polymorphisms and susceptibility to UC/CD was performed. Relevant studies were retrieved from the databases. After eligible data were extracted, Mantel-Haenszel statistics and random/fixed effects model were applied to calculate the pooled odds radio (OR) and 95% confidence interval (95% CI). RESULTS: Seven articles containing 536 UC cases, 997 CD cases, and 1361 controls were collected. No significant association between allele 2 frequency of NRAMP1 and susceptibility to UC/CD was detected in overall population (all p > 0.05). However, increased UC/CD risk for allele 3 was observed in Caucasian population (OR = 1.27, 95% CI = 1.08~1.50, p = 0.04), whereas decreased UC/CD risk was detected in non-Caucasian population (OR = 0.72, 95% CI = 0.60~0.87, p < 0.001), under "allele 3 vs. other alleles" model. Moreover, a significant increase in CD risk for T carrier frequency of -237 C/T (OR = 0.44, 95% CI, 0.26~0.75, p = 0.003) was detected, but not 274 C/T and 1729+55del4 (TGTG) +/del. CONCLUSIONS: The polymorphism of -237 C/T is related to the risk of CD; and the association of allele 3 with UC/CD risk differs in Caucasian and non-Caucasian population, which might be the potential biomarkers for clinical diagnosis of UC/CD.

An 'activator-repressor' loop controls the anthocyanin biosynthesis in red-skinned pear.

The color of red-skinned pear (Pyrus spp.) is primarily attributed to accumulation of anthocyanins, which provide nutritional benefits for human health and are closely associated with the commercial value of fruits. Here, we reported the functional characterization of a R2R3-MYB repressor PyMYB107, which forms an 'activator-repressor' loop to control anthocyanin accumulation in the red-skinned pear. PyMYB107 overexpression inhibited anthocyanin biosynthesis in both pear calli and fruits, while virus-induced gene silencing of PyMYB107 increased anthocyanin accumulation in pear fruits. Furthermore, ectopic expression of PyMYB107 decreased anthocyanin accumulation in tomato, strawberry and tobacco. PyMYB107 can competitively bind to PybHLH3 with PyMYB10/MYB114, thereby suppressing the transcriptional activation of key anthocyanin biosynthesis genes, PyANS and PyUFGT. Site-directed mutagenesis showed that mutations within the R3 domain and EAR motif of PyMYB107 eliminated its repressive activity. Additionally, PyMYB107 exhibited a comparable expression pattern to PyMYB10/MYB114 and was transcriptionally activated by them. Our finding advanced comprehension of the repression mechanism underlying anthocyanin accumulation, providing valuable molecular insights into improving quality of pear fruits.

In silico analysis of the association between long non-coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer.

The link between family with sequence similarity 99 member A (FAM99A), a type of long non-coding RNA, and tumourigenesis remains ambiguous. Therefore, in this study, the authors conducted an expression profile analysis of FAM99A based on 33 types of cancer within The Cancer Genome Atlas project. The expression profile data revealed low expression levels of FAM99A in hepatocellular carcinoma, cholangiocarcinoma, and testicular germ cell tumour tissues than in the normal control tissues. Survival analysis indicated a correlation between low FAM99A expression and worse survival outcome in patients with hepatic cancer. Further investigation revealed the possible implication of DNA methylation, but not copy number variation, in FAM99A-associated hepatic tumourigenesis. The authors also identified a set of differentially expressed genes between patients with hepatic cancer and negative controls, which were found to be related to biochemical metabolism or the cell cycle. Additionally, FAM99A expression may be associated with the infiltration status of several immune cells, such as dendritic cells, natural killer cells, and neutrophils. Overall, FAM99A may function as a prognostic marker that is potentially associated with DNA methylation, immune cell infiltration, and biochemical metabolism in hepatic cancer.

Inhibiting specificity protein 1 attenuated sevoflurane-induced mitochondrial stress and promoted autophagy in hippocampal neurons through PI3K/Akt/mTOR and α7-nAChR signaling.

Sevoflurane, a commonly used anesthetic in surgery, is considered as an inducer of neurodegenerative diseases and postoperative complications including postoperative cognitive dysfunction. Evidence showed that specificity protein 1 (SP1) participated in the regulation of various cellular processes. Also, SP1 was found to modulate sevoflurane-induced hippocampal inflammatory injury both in vitro and in vivo. Our study aimed to illustrate the role of SP1 in mediating mitochondrial stress and autophagy in neurons under sevoflurane exposure. SiRNA for SP1 was transfected in to hippocampus neurons for the loss-of-function assay before sevoflurane stimulation. Meanwhile, recilisib was utilized for PI3K/Akt/mTOR signaling activation, GTS-21 and MLA (methylycaconitine citrate) were used to activate or inactivate alpha 7 nicotinic acetylcholine receptor (α7-nAChR), respectively. Sevoflurane induced SP1 upregulation and autophagy suppression. Interfering SP1 dramatically depressed the promoted oxidative stress and mitochondrial dysfunction induced by sevoflurane. Additionally, SP1 silence blocked sevoflurane-induced activation of PI3K/Akt/mTOR signaling and inhibition of α7-nAChR. Restoring PI3K/Akt/mTOR signaling or depressing CAP significantly reversed the repressive effects of SP1 knockdown on mitochondrial stress and autophagy imbalance in hippocampal cells. In conclusions, our research indicated that SP1 regulated sevoflurane-induced oxidative stress dysregulation, mitochondrial function and cell autophagy in hippocampus via mediating the PI3K/Akt/mTOR and α7-nAChR pathways. Therefore, it might provide a novel sight for sevoflurane-induced hippocampus injury and POCD therapy.

Telomere-to-telomere pear (Pyrus pyrifolia) reference genome reveals segmental and whole genome duplication driving genome evolution.

Previously released pear genomes contain a plethora of gaps and unanchored genetic regions. Here, we report a telomere-to-telomere (T2T) gap-free genome for the red-skinned pear, 'Yunhong No. 1' (YH1; Pyrus pyrifolia), which is mainly cultivated in Yunnan Province (southwest China), the pear's primary region of origin. The YH1 genome is 501.20 Mb long with a contig N50 length of 29.26 Mb. All 17 chromosomes were assembled to the T2T level with 34 characterized telomeres. The 17 centromeres were predicted and mainly consist of centromeric-specific monomers (CEN198) and long terminal repeat (LTR) Gypsy elements (≥74.73%). By filling all unclosed gaps, the integrity of YH1 is markedly improved over previous P. pyrifolia genomes ('Cuiguan' and 'Nijisseiki'). A total of 1531 segmental duplication (SD) driven duplicated genes were identified and enriched in stress response pathways. Intrachromosomal SDs drove the expansion of disease resistance genes, suggesting the potential of SDs in adaptive pear evolution. A large proportion of duplicated gene pairs exhibit dosage effects or sub-/neo-functionalization, which may affect agronomic traits like stone cell content, sugar content, and fruit skin russet. Furthermore, as core regulators of anthocyanin biosynthesis, we found that MYB10 and MYB114 underwent various gene duplication events. Multiple copies of MYB10 and MYB114 displayed obvious dosage effects, indicating role differentiation in the formation of red-skinned pear fruit. In summary, the T2T gap-free pear genome provides invaluable resources for genome evolution and functional genomics.

Construction of a high-density bin-map and identification of fruit quality-related quantitative trait loci and functional genes in pear.

Pear (Pyrus spp.) is one of the most common fruit crops grown in temperate regions worldwide. Genetic enhancement of fruit quality is a fundamental goal of pear breeding programs. The genetic control of pear fruit quality traits is highly quantitative, and development of high-density genetic maps can facilitate fine-mapping of quantitative trait loci (QTLs) and gene identification. Bin-mapping is a powerful method of constructing high-resolution genetic maps from large-scale genotyping datasets. We performed whole-genome sequencing of pear cultivars 'Niitaka' and 'Hongxiangsu' and their 176 F 1 progeny to identify genome-wide single-nucleotide polymorphism (SNP) markers for constructing a high-density bin-map of pear. This analysis yielded a total of 1.93 million SNPs and a genetic bin-map of 3190 markers spanning 1358.5 cM, with an average adjacent interval of 0.43 cM. This bin-map, along with other high-density genetic maps in pear, improved the reference genome assembly from 75.5 to 83.7% by re-anchoring the scaffolds. A quantitative genetic analysis identified 148 QTLs for 18 fruit-related traits; among them, QTLs for stone cell content, several key monosaccharides, and fruit pulp acids were identified for the first time in pear. A gene expression analysis of six pear cultivars identified 399 candidates in the identified QTL regions, which showed expression specific to fruit developmental stages in pear. Finally, we confirmed the function of PbrtMT1, a tonoplast monosaccharide transporter-related gene responsible for the enhancement of fructose accumulation in pear fruit on linkage group 16, in a transient transformation experiment. This study provides genomic and genetic resources as well as potential candidate genes for fruit quality improvement in pear.

Pear genetics: Recent advances, new prospects, and a roadmap for the future.

Pear, belonging to the genus Pyrus, is one of the most economically important temperate fruit crops. Pyrus is an important genus of the Rosaceae family, subfamily Maloideae, and has at least 22 different species with over 5000 accessions maintained or identified worldwide. With the release of draft whole-genome sequences for Pyrus, opportunities for pursuing studies on the evolution, domestication, and molecular breeding of pear, as well as for conducting comparative genomics analyses within the Rosaceae family, have been greatly expanded. In this review, we highlight key advances in pear genetics, genomics, and breeding driven by the availability of whole-genome sequences, including whole-genome resequencing efforts, pear domestication, and evolution. We cover updates on new resources for undertaking gene identification and molecular breeding, as well as for pursuing functional validation of genes associated with desirable economic traits. We also explore future directions for "pear-omics".

YY1 promotes SOCS3 expression to inhibit STAT3­mediated neuroinflammation and neuropathic pain.

Neuropathic pain is induced by primary injury and dysfunction of the nervous system, and is accompanied by the activation of inflammation signaling pathways. Yin Yang 1 (YY1) is reported to be involved in inflammation; however, its role in the development of neuropathic pain is still unclear. In the present study, a neuropathic pain model was established using the bilateral chronic constriction injury (bCCI) method in rats. The indexes of neuropathic pain were detected, including paw mechanical withdrawal threshold (MWT), paw thermal withdrawal latency (PTWL) and paw frequency in response to cold stimulus, characterizing the symptoms of mechanical allodynia, thermal hyperalgesia and cold hyperalgesia, respectively. YY1 mRNA expression was significantly decreased in the spinal cord cells of bCCI rats. In addition, YY1 was overexpressed in the bCCI rats by intrathecally injecting different doses of the pcDNA­YY1. YY1 reduced rat mechanical allodynia, thermal hyperalgesia and cold hyperalgesia in a dose­dependent manner. Furthermore, YY1 increased the expression of suppressor of cytokine signaling 3 (SOCS3) and suppressed signal transducer and activator of transcription 3 (STAT3)­mediated production of inflammatory factors in a dose­dependent manner. Finally, YY1 were respectively overexpressed and knocked down in primary spinal cord cells. The results revealed that YY1 overexpression promoted SOCS3 expression, increased cell proliferation and suppressed cell apoptosis, and reduced the activation of STAT3 and STAT3­mediated production of inflammatory factors. YY1 knockdown induced the opposite effect to that observed following YY1 overexpression. Furthermore, blockade of SOCS3 by SOCS3­antibody abrogated the effect of YY1 overexpression on the suppression of SOCS3­mediated STAT3 activation and inflammation. In conclusion, YY1 alleviated neuropathic pain by inhibiting the STAT3 signaling pathway, which may be due to the upregulation of SOCS3 expression.

A systems genetics approach reveals PbrNSC as a regulator of lignin and cellulose biosynthesis in stone cells of pear fruit.

BACKGROUND: Stone cells in fruits of pear (Pyrus pyrifolia) negatively influence fruit quality because their lignified cell walls impart a coarse and granular texture to the fruit flesh. RESULTS: We generate RNA-seq data from the developing fruits of 206 pear cultivars with a wide range of stone cell contents and use a systems genetics approach to integrate co-expression networks and expression quantitative trait loci (eQTLs) to characterize the regulatory mechanisms controlling lignocellulose formation in the stone cells of pear fruits. Our data with a total of 35,897 expressed genes and 974,404 SNPs support the identification of seven stone cell formation modules and the detection of 139,515 eQTLs for 3229 genes in these modules. Focusing on regulatory factors and using a co-expression network comprising 39 structural genes, we identify PbrNSC as a candidate regulator of stone cell formation. We then verify the function of PbrNSC in regulating lignocellulose formation using both pear fruit and Arabidopsis plants and further show that PbrNSC can transcriptionally activate multiple target genes involved in secondary cell wall formation. CONCLUSIONS: This study generates a large resource for studying stone cell formation and provides insights into gene regulatory networks controlling the formation of stone cell and lignocellulose.