Structure-based prediction of protein-protein interaction network in rice.

Comprehensive protein-protein interaction (PPI) maps are critical for understanding the functional organization of the proteome, but challenging to produce experimentally. Here, we developed a computational method for predicting PPIs based on protein docking. Evaluation of performance on benchmark sets demonstrated the ability of the docking-based method to accurately identify PPIs using predicted protein structures. By employing the docking-based method, we constructed a structurally resolved PPI network consisting of 24,653 interactions between 2,131 proteins, which greatly extends the current knowledge on the rice protein-protein interactome. Moreover, we mapped the trait-associated single nucleotide polymorphisms (SNPs) to the structural interactome, and computationally identified 14 SNPs that had significant consequences on PPI network. The protein structural interactome map provided a resource to facilitate functional investigation of PPI-perturbing alleles associated with agronomically important traits in rice.

Beyond green and red: unlocking the genetic orchestration of tomato fruit color and pigmentation.

Fruit color is a genetic trait and a key factor for consumer acceptability and is therefore receiving increasing importance in several breeding programs. Plant pigments offer plants with a variety of colored organs that attract animals for pollination, favoring seed dispersers and conservation of species. The pigments inside plant cells not only play a light-harvesting role but also provide protection against light damage and exhibit nutritional and ecological value for health and visual pleasure in humans. Tomato (Solanum lycopersicum) is a leading vegetable crop; its fruit color formation is associated with the accumulation of several natural pigments, which include carotenoids in the pericarp, flavonoids in the peel, as well as the breakdown of chlorophyll during fruit ripening. To improve tomato fruit quality, several techniques, such as genetic engineering and genome editing, have been used to alter fruit color and regulate the accumulation of secondary metabolites in related pathways. Recently, clustered regularly interspaced short palindromic repeat (CRISPR)-based systems have been extensively used for genome editing in many crops, including tomatoes, and promising results have been achieved using modified CRISPR systems, including CAS9 (CRISPR/CRISPR-associated-protein) and CRISPR/Cas12a systems. These advanced tools in biotechnology and whole genome sequencing of various tomato species will certainly advance the breeding of tomato fruit color with a high degree of precision. Here, we attempt to summarize the current advancement and effective application of genetic engineering techniques that provide further flexibility for fruit color formation. Furthermore, we have also discussed the challenges and opportunities of genetic engineering and genome editing to improve tomato fruit color.

The transcription factor EMB1444-like affects tomato fruit ripening by regulating YELLOW-FRUITED TOMATO 1, a core component of ethylene signaling transduction.

The fleshy fruit of tomato (Solanum lycopersicum) are climacteric and, as such, ethylene plays a pivotal role in their ripening and quality traits. In this study, a basic helix-loop-helix transcription factor, EMB1444-like, was found to induce the expression of YELLOW-FRUITED TOMATO 1 (YFT1), which encodes the SlEIN2 protein, a key element in the ethylene signaling pathway. Yeast one-hybrid and EMSA analyses revealed that EMB1444-like binds to the E-box motif (CACTTG, -1295 bp to -1290 bp upstream of the ATG start codon) of the YFT1 promoter (pYFT1). Suppression of EMB1444-like expression in tomato lines (sledl) using RNAi reduced ethylene production by lowering the expression of 1-AMINOCYCLOPROPANE-1-CARBOXYLATE SYNTHASE 2/4 (ACS2/4) and ACC OXIDASE1 (ACO1) in a positive feedback loop. sledl tomato also showed differences in numerous quality traits related to fruit ripening, compared with the wild type, such as delayed chromoplast differentiation, a decrease in carotenoid accumulation, and delayed fruit ripening in an ethylene-independent manner, or at least upstream of ripening mediated by YFT1/SlEIN2. This study elucidates the regulatory framework of fruit ripening in tomato, providing information that may be used to breed tomato hybrid cultivars with an optimal balance of shelf-life, durability, and high quality.

The transcription factor WRKY32 affects tomato fruit colour by regulating YELLOW FRUITED-TOMATO 1, a core component of ethylene signal transduction.

Fruit quality in most fleshy fruit crops is fundamentally linked to ripening-associated traits, including changes in colour. In many climacteric fruits, including tomato (Solanum lycopersicum), the phytohormone ethylene plays a key role in regulating ripening. Previous map-based cloning of YELLOW FRUITED-TOMATO 1 (YFT1) revealed that it encodes the EIN2 protein, a core component in ethylene signal transduction. A YFT1 allele with a genetic lesion was found to be down-regulated in the yft1 tomato mutant that has a yellow fruit phenotype and perturbed ethylene signalling. Based on bioinformatic analysis, yeast one hybrid assays and electrophoretic mobility shift assays, we report that transcription factor WRKY32 regulates tomato fruit colour formation. WRKY32 binds to W-box and W-box-like motifs in the regulatory region of the YFT1 promoter and induces its expression. In tomato fruits of WRKY32-RNAi generated lines, ethylene signalling was reduced, leading to a suppression in ethylene emission, a delay in chromoplast development, decreased carotenoid accumulation, and a yellow fruit phenotype. These results provide new insights into the regulatory networks that govern tomato fruit colour formation via ethylene signal transduction.

Engrafted primary type-2 astrocytes improve the recovery of the nigrostriatal pathway in a rat model of Parkinson's disease.

Parkinson's disease (PD) is a disorder characterized by a progressive loss of the dopaminergic neurons in the substantia nigra and a depletion of the neurotransmitter dopamine in the striatum. Our published results indicate that fasciculation and elongation protein zeta-1 (FEZ1) plays a role in the astrocyte-mediated protection of dopamine neurons and regulation of the neuronal microenvironment during the progression of PD. In this study, we examined the effects of engrafted type-2 astrocytes (T2As) with high expression of FEZ1 on the improvement of the symptoms and functional reconstruction of PD rats. T2As were stereotactically transplanted into the striatum of rats with PD induced by 6-hydroxydopamine (6-OHDA). An examination of apomorphine (APO)-induced rotations was performed to evaluate dopamine neuron damage and motor functions. Remarkably, the grafted cells survived in the lesion environment for six weeks or longer after implantation. In addition, the transplantation of T2As decrease the average velocity and the duration time of the APO-induced rotations, and increase the actuation time, as measured in the rotation behavioural tests. In the substantia nigra, the transplantation of T2As reduced the PD-induced GFAP, TH and FEZ1 downregulation. The grafted cells exclusively migrated to other regions near the injection site in the striatum and differentiated into GFAP+ astrocytes or TH+ neurons. Furthermore, by detecting monoamine neurotransmitters through high-performance liquid chromatography, we found that the nigrostriatal pathway had been repaired to some extent. Taken together, these results suggest that engrafted T2As with high expression of FEZ1 improved the symptoms and functional reconstruction of PD rats, providing a theoretical basis for FEZ1 as a potential target and engraftment of T2As as a therapeutic strategy in the treatment of PD.

Long non-coding RNA HCG18 promotes M1 macrophage polarization through regulating the miR-146a/TRAF6 axis, facilitating the progression of diabetic peripheral neuropathy.

Diabetic peripheral neuropathy (DPN) is one of the most important complications in diabetes mellitus (DM), which has been reported to be modulated by long non-coding RNAs (lncRNAs). The purpose of the current study is to explore the regulatory mechanism of lncRNA HCG18 on DPN in vitro. The expression of lncRNA HCG18, miR-146a, TRAF6, CD11c, and iNOS was detected by qRT-PCR. Through Enzyme-linked immunosorbent assay, the levels of inflammatory factors (TNF-α, IL-1ß, and IL-6) were determined. M1 macrophage polarization was measured by flow cytometry analysis. The interactions between miR-146a and HCG18/TRAF6 were predicted by Starbase/Targetscan software and verified by the dual luciferase reporter assay. Western blot assay was performed to determine the protein expression of TRAF6. LncRNA HCG18 was highly expressed in DPN model and HG-induced macrophages. The levels of inflammatory factors (TNF-α, IL-1ß, and IL-6) were elevated in DPN model. The expression of M1 markers (CD11c and iNOS) was visibly up-regulated in DPN model and was positively correlated with HCG18 expression. LncRNA HCG18 facilitated M1 macrophage polarization. In addition, miR-146a was identified as a target of lncRNA HCG18. Overexpression of miR-146a reversed the promoting effect of HCG18 on M1 macrophage polarization. Simultaneously, TRAF6 was a target gene of miR-146a TRAF6 expression was positively modulated by HCG18 and was negatively modulated by miR-146a. Down-regulation of TRAF6 reversed the promoting effect of HCG18 on M1 macrophage polarization. LncRNA HCG18 promotes M1 macrophage polarization via regulating the miR-146a/TRAF6 axis, facilitating the progression of DPN. This study provides a possible therapeutic strategy for DPN.

Molar crown formation times of fossil orangutan molars from Guangxi, China.

OBJECTIVES: We aimed to investigate molar enamel development in fossil orangutans from Guangxi and shed light on the evolution of Asian great apes. MATERIALS AND METHODS: We collected 32 fossil orangutan molars, most of which were from Guangxi apothecaries and the Guangxi Daxin Heidong cave, and prepared histological sections of each molar. We then characterized aspects of dental development, including long period line periodicity, number of Retzius lines and lateral enamel formation time, cuspal enamel thickness, and enamel formation time. RESULTS: The long period line periodicity in fossil orangutans ranged from 9 to 10 days (mean, 9.09 days). The molar lateral enamel formation time ranged from 1.48 to 3.17 years (540-1,152 days). Cuspal enamel thickness in fossil orangutan molars ranged from 949 to 2,535 µm, and cuspal enamel formation time ranged from 0.64 to 1.87 years. Molar enamel formation time of fossil orangutans ranged from 2.47 to 4.67 years. DISCUSSION: Long-period line periodicity of fossil orangutans from Guangxi was within the variation range of extant orangutans, and the average long period line periodicity (9.09 days) of fossil orangutans from Guangxi in this study was lower than the values for extant orangutans (9.5 days) and fossil orangutans (10.9 days) from Sumatra and Vietnam. Orangutan enamel thickness may have gradually decreased from the Middle Pleistocene to Holocene. Crown formation time of fossil orangutans was slightly longer than that of extant orangutans, and the M1 emergence age of fossil orangutans from Guangxi was about 4-6 years. These findings might indicate the regional difference or evolutionary changes in orangutans since Pleistocene. Dental development of the Guangxi fossil orangutans were more similar to that of Asian Miocene apes, suggesting the closer evolutionary relationship of orangutans to Miocene Asian fossil apes.

First direct evidence of conservative foraging ecology of early Gigantopithecus blacki (~2 Ma) in Guangxi, southern China.

OBJECTIVES: Gigantopithecus blacki, the largest hominoid known, is one of the representative Pleistocene mammals in southern China and northern Southeast Asia. Here we investigate the feeding ecology of G. blacki in its core habitat (Guangxi, Southern China) during the early Early Pleistocene, which was the early period in its evolution. MATERIALS AND METHODS: The stable isotopic (C, O) analysis of tooth enamel of the fauna associated with G. blacki (n = 58), including the largest number of G. blacki teeth (n = 12) to date from the Liucheng Gigantopithecus Cave (~2 Ma), Guangxi, China, is undertaken. RESULTS: The δ13 C values of Liucheng fauna range from -12.9 to -19.0‰ with an average of -16.1 ± 1.3‰ (n = 58) and the δ18 O values range from -4.3 to -9.6‰ with an average of -6.9 ± 1.2‰ (n = 58). The δ13 C values of G. blacki range from -15.9‰ to -17.0‰ with an average of -16.5 ± 0.4‰ (n = 12), and the δ18 O values vary from -5.9‰ to -7.5‰ with an average of -6.6 ± 0.5‰ (n = 12). CONCLUSIONS: The isotopic data show Guangxi was characterized by closed C3 forest and humid climate in the early Early Pleistocene. Niche partitioning is found among G. blacki, Sinomastodon, Ailuropoda and Stegodon, the typical megafauna in South China in the early Early Pleistocene. This could be one of the important factors for them to co-exist until the Middle Pleistocene. Smallest isotopic variations of G. blacki are found compared with those of contemporary animals, indicating a conservative foraging ecology i.e., limited foraging area and/or narrow dietary flexibility. Furthermore, the more confined foraging ecology of G. blacki is also seen in comparison with fossil and extant large-bodied primates. However, the unique dietary pattern of G. blacki does not seem to have hindered its survival. The environment in Guangxi during the early Early Pleistocene offered the suitable conditions for G. blacki to become one of the typical species in the faunal assemblages.

Silencing of Long Non-Coding RNA X Inactive Specific Transcript (Xist) Contributes to Suppression of Bronchopulmonary Dysplasia Induced by Hyperoxia in Newborn Mice via microRNA-101-3p and the transforming growth factor-beta 1 (TGF-ß1)/Smad3 Axis.

BACKGROUND Bronchopulmonary dysplasia (BPD) is a chronic lung disease mostly affecting premature infants. Long non-coding RNA (lncRNA) X inactive specific transcript (Xist) is actively involved in pulmonary disease development. The present study explored the potential mechanism of Xist in BPD development. MATERIAL AND METHODS First, newborn BPD mouse models were successfully established. lncRNAs and genes with differential expression were identified using microarray analysis. Various injuries and radial alveolar counts of lung tissues of BPD mice were detected by hematoxylin-eosin staining. Functional assays were utilized to detect alterations of superoxide dismutase (SOD), malondialdehyde (MDA), vascular endothelial growth factor, collagen I, alpha-smooth muscle Actin, TGF-ß1, and Smad3. Then, dual-luciferase reporter gene assay and RNA pull-down assay were performed to clarify the targeting relationship between Xist and miR-101-3p and between miR-101-3p and high-mobility group protein B3 (HMGB3). RESULTS In BPD mice, radial alveolar counts value and SOD activity declined while MDA level increased. Results of microarray analysis found that Xist and HMGB3 were highly expressed in BPD mice. Next, silenced Xist alleviated lung damage in BPD mice. Xist competitively bound to miR-101-3p to activate HMGB3, and overexpressed miR-101-3p mitigated lung damage in BPD mice. Additionally, silenced Xist downregulated the TGF-ß1/Smad3 axis. CONCLUSIONS Our study demonstrated that silencing of Xist suppressed BPD development by binding to miR-101-3p and downregulating HMGB3 and the TGF-b1/Smad3 axis. Our results may provide novel insights for BPD treatment.

Identified trans-splicing of YELLOW-FRUITED TOMATO 2 encoding the PHYTOENE SYNTHASE 1 protein alters fruit color by map-based cloning, functional complementation and RACE.

KEY MESSAGE: Found a trans-splicing of PHYTOENE SYNTHASE 1 alters tomato fruit color by map-based cloning, functional complementation and RACE providing an insight into fruit color development. Color is an important fruit quality trait and a major determinant of the economic value of tomato (Solanum lycopersicum). Fruit color inheritance in a yellow-fruited cherry tomato (cv. No. 22), named yellow-fruited tomato 2 (yft2), was shown to be controlled by a single recessive gene, YFT2. The YFT2 gene was mapped in a 95.7 kb region on chromosome 3, and the candidate gene, PHYTOENE SYNTHASE 1 (PSY1), was confirmed by functional complementation analysis. Constitutive over expression of PSY1 in yft2 increased the accumulation of carotenoids and resulted in a red fruit color, while no causal mutation was detected in the YFT2 allele of yft2, compared with red-fruited SL1995 cherry tomato or cultivated variety (cv. M82). Expression of YFT2 3' region in yft2 was significantly lower than in SL1995, and further studies revealed a difference in YFT2 post-transcriptional processing in yft2 compared with SL1995 and cv. M82, resulting in a longer YFT2 transcript. The alternatively trans-spliced allele of YFT2 in yft2 is predicted to encode a novel LT-YFT2 protein of 432 amino acid (AA) residues, compared to the 412 AA YFT2 protein of SL1995. The trans-spliced event also resulted in significantly down regulated expression of YFT2 in yft2 tomato, and the YFT2 allele suppressed expression of the downstream genes involved in the carotenoid biosynthesis pathway and carotenoids synthesis by a mechanism of the feed-forward regulation. In conclusion, we found that trans-splicing of YFT2 alters tomato fruit color, providing new insights into fruit color development.

A computational interactome for prioritizing genes associated with complex agronomic traits in rice (Oryza sativa).

Rice (Oryza sativa) is one of the most important staple foods for more than half of the global population. Many rice traits are quantitative, complex and controlled by multiple interacting genes. Thus, a full understanding of genetic relationships will be critical to systematically identify genes controlling agronomic traits. We developed a genome-wide rice protein-protein interaction network (RicePPINet, http://netbio.sjtu.edu.cn/riceppinet) using machine learning with structural relationship and functional information. RicePPINet contained 708 819 predicted interactions for 16 895 non-transposable element related proteins. The power of the network for discovering novel protein interactions was demonstrated through comparison with other publicly available protein-protein interaction (PPI) prediction methods, and by experimentally determined PPI data sets. Furthermore, global analysis of domain-mediated interactions revealed RicePPINet accurately reflects PPIs at the domain level. Our studies showed the efficiency of the RicePPINet-based method in prioritizing candidate genes involved in complex agronomic traits, such as disease resistance and drought tolerance, was approximately 2-11 times better than random prediction. RicePPINet provides an expanded landscape of computational interactome for the genetic dissection of agronomically important traits in rice.

Genome-wide profiling of long non-coding RNAs from tomato and a comparison with mRNAs associated with the regulation of fruit ripening.

BACKGROUND: Long non-coding RNAs (lncRNAs) are involved in multiple biological processes in both mammals and plants. There is growing evidence that they are associated with development; but their expression and regulation during fruit ripening in the model plant tomato (Solanum lycopersicum) has yet to be described. RESULTS: Following integration of 134 RNA-seq data sets, we identified 79,322 putative lncRNAs, consisting of 70,635 lincRNAs, 8085 antisense non-coding RNAs (ancRNAs) and 602 sense lncRNAs (slncRNAs). lncRNAs had specific features that are distinct from mRNAs, including tissue-specificity, and shorter and fewer exons. Notably, more than 5000 of the novel lincRNAs were found to be expressed across the mature green (MG), breaker (BR) and breaker plus 7 days (BR + 7) developmental stages. The differently expressed lincRNAs had different DNA methylation profiles from the mRNAs. CONCLUSIONS: Integrating transcriptome datasets and genome-wide screening enabled the identification of a comprehensive set of tomato lncRNAs. Here, we found that the lncRNAs DNA methylation profiles were different from those of mRNAs. This will help future investigation of lncRNA function, especially for the dissection of the molecular mechanisms involved in the regulation of fruit development.

Estrogen receptor 1 gene polymorphisms are associated with metabolic syndrome in postmenopausal women in China.

BACKGROUND: Metabolic syndrome (MetS) includes obesity, diabetes, dyslipidemia and hypertension. Its incidence is rapidly increasing worldwide, particularly in postmenopausal women. Estrogens regulate glucose homeostasis and lipid metabolism via estrogen receptors 1 (ESR1) and 2 (ESR2). The current study aimed to elucidate associations of MetS with ESR1 and ESR2 gene polymorphisms in postmenopausal Chinese women. METHODS: This case-control study included 304 postmenopausal women (154 and 150 control and MetS patients, respectively). Clinical indicators related to MetS were assessed. Two ESR1 (PvuII and XbaI) and two ESR2 (RsaI and AluI) polymorphisms were evaluated by polymerase chain reaction (PCR)-restriction fragment length polymorphism analysis. RESULTS: ESR1 polymorphisms were significantly different between MetS patients and healthy controls. G allele frequency for the XbaI polymorphism was significantly higher in patients than in control patients (p = 0.004, OR = 1.610, 95%CI 1.169-2.18). The haplotypes A-T (p = 0.015) and G-C (p = 0.024) showed significant differences. The minor alleles of the XbaI and PvuII gene polymorphisms in both homozygous and heterozygous forms showed associations with elevated waist circumference, fasting serum insulin and HOMA-IR. The minor G allele in homozygous and heterozygous forms of the RsaI and AluI gene polymorphisms showed associations with elevated total cholesterol and LDL-C. CONCLUSIONS: In postmenopausal Chinese women, ESR1 polymorphism and the haplotypes A-T and G-C of XbaI-PvuII are associated with MetS, unlike ESR2 polymorphisms. Patients harboring the G allele of XbaI have elevated BMI, waist circumference, systolic and diastolic BP, FBG, HOMA-IR, total cholesterol, TG, LDL-C and NAFLD (%), and reduced HDL-C.

[Value of arterial blood lactic acid in the evaluation of disease severity and prognosis in neonatal shock].

OBJECTIVE: To evaluate the value of blood lactic acid (BLA) as a predictor for the severity and prognosis of neonatal shock. METHODS: A total of 326 neonates with shock were enrolled and divided into three groups based on the severity, namely mild group (n=147), moderate group (n=105), and severe group (n=74). BLA level was measured during and early after (about 6 hours later) fluid resuscitation, and lactate clearance rate (LCR) was calculated. The receiver operating characteristic (ROC) curve was applied to evaluate the predictive value of BLA in neonatal shock. RESULTS: BLA level was high in all subjects prior to treatment, and was highest in the severe group and lowest in the mild group (P<0.01). BLA level was significantly higher among patients with septic shock than among those with hypovolemic, cardiogenic, and asphyxiating shock (P<0.05). BLA level was significantly reduced in patients in recovery after treatment (P<0.05). Mortality was significantly lower in patients with BLA level ≤4 mmol/L or LCR ≥10% than in those with BLA level >4 mmol/L or LCR <10% (P<0.01). BLA at 11.15 mmol/L had 100% sensitivity and 96.8% specificity in predicting severe shock. BLA at 10.65 mmol/L had 88.9% sensitivity and 74.1% specificity in predicting the prognosis (survival or dead) of newborns with shock. CONCLUSIONS: In neonates with shock, arterial BLA level increases as the disease severity increases and is associated with prognosis, so it is a useful predictor of the severity and prognosis of neonatal shock.

Genome-Wide Inference of Protein-Protein Interaction Networks Identifies Crosstalk in Abscisic Acid Signaling.

Protein-protein interactions (PPIs) are essential to almost all cellular processes. To better understand the relationships of proteins in Arabidopsis (Arabidopsis thaliana), we have developed a genome-wide protein interaction network (AraPPINet) that is inferred from both three-dimensional structures and functional evidence and that encompasses 316,747 high-confidence interactions among 12,574 proteins. AraPPINet exhibited high predictive power for discovering protein interactions at a 50% true positive rate and for discriminating positive interactions from similar protein pairs at a 70% true positive rate. Experimental evaluation of a set of predicted PPIs demonstrated the ability of AraPPINet to identify novel protein interactions involved in a specific process at an approximately 100-fold greater accuracy than random protein-protein pairs in a test case of abscisic acid (ABA) signaling. Genetic analysis of an experimentally validated, predicted interaction between ARR1 and PYL1 uncovered cross talk between ABA and cytokinin signaling in the control of root growth. Therefore, we demonstrate the power of AraPPINet (http://netbio.sjtu.edu.cn/arappinet/) as a resource for discovering gene function in converging signaling pathways and complex traits in plants.

Perikymata distribution on anterior teeth of Miocene Lufengpithecus lufengensis from Yunnan, Southern China.

OBJECTIVES: The present study investigated the distribution of perikymata on anterior teeth of Miocene Lufengpithecus lufengensis so as to broaden the comparative data of developmental variation within and among hominoids. We also compared perikymata-spacing pattern of Lufengpithecus lufengensis with hominins and extant African great apes to understand the implication of dental development. MATERIALS AND METHODS: A total of 30 anterior teeth (including 6 I1, 10 I2, and 14 C) of Lufengpithecus lufengensis were examined using a scanning electron microscope and Keyence VHX-600EOS digital microscope to document the number and distribution of perikymata on their labial surfaces. The labial crown height of each tooth was divided into 10 equal deciles and the total perikymata number in each decile was recorded. The mean number of perikymata per millimeter was then calculated for each decile. SPSS statistical software was used to perform analyses of these data, including t-tests for sexual dimorphism and plots showing the perikymata distribution in Lufengpithecus lufengensis. RESULTS: Perikymata counts of Lufengpithecus lufengensis in the first three deciles are fewer than the remaining deciles, and with perikymata becoming increasingly more closely packed as growth progresses from cusp to cervix, but decrease in density in the cervical decile. Besides, total labial perikymata counts of canines tend to display very significant sexual dimorphism. DISCUSSION: Lufengpithecus lufengensis anterior teeth are more similar in their distribution of labial perikymata to those of Australopithecus than those of other hominins and extant African great apes from previous studies.

An ATP binding cassette transporter is required for cuticular wax deposition and desiccation tolerance in the moss Physcomitrella patens.

The plant cuticle is thought to be a critical evolutionary adaptation that allowed the first plants to colonize land, because of its key roles in regulating plant water status and providing protection from biotic and abiotic stresses. Much has been learned about cuticle composition and structure through genetic and biochemical studies of angiosperms, as well as underlying genetic pathways, but little is known about the cuticles of early diverging plant lineages. Here, we demonstrate that the moss Physcomitrella patens, an extant relative of the earliest terrestrial plants, has a cuticle that is analogous in both structure and chemical composition to those of angiosperms. To test whether the underlying cuticle biosynthetic pathways were also shared among distant plant lineages, we generated a genetic knockout of the moss ATP binding cassette subfamily G (ABCG) transporter Pp-ABCG7, a putative ortholog of Arabidopsis thaliana ABCG transporters involved in cuticle precursor trafficking. We show that this mutant is severely deficient in cuticular wax accumulation and has a reduced tolerance of desiccation stress compared with the wild type. This work provides evidence that the cuticle was an adaptive feature present in the first terrestrial plants and that the genes involved in their formation have been functionally conserved for over 450 million years.

The yellow-fruited tomato 1 (yft1) mutant has altered fruit carotenoid accumulation and reduced ethylene production as a result of a genetic lesion in ETHYLENE INSENSITIVE2.

KEY MESSAGE: The isolated yft1 allele controls the formation of fruit color in n3122 via the regulation of response to ethylene, carotenoid accumulation and chromoplast development. Fruit color is one of the most important quality traits of tomato (Solanum lycopersicum) and is closely associated with both nutritional and market value. In this study, we characterized a tomato fruit color mutant n3122, named as yellow-fruited tomato 1 (yft1), which produces yellow colored mature fruit. Fruit color segregation of the progeny from an intra-specific cross (M82 × n3122) and an inter-specific cross (n3122 × LA1585) revealed that a single recessive nuclear gene determined the yellow fruit phenotype. Through map-based cloning, the yft1 locus was assigned to an 88.2 kb region at the top of chromosome 9 that was annotated as containing 12 genes. Sequencing revealed that one gene, Solyc09g007870, which encodes ETHYLENE INSENSITIVE2 (EIN2), contained two mutations in yft1: a 13 bp deletion and a 573 bp insertion at position -318 bp upstream of the translation initiation site. We detected that EIN2 expression was substantially lower in yft1 than in the red-fruited M82 wild type and that, in addition, carotenoid accumulation was decreased, ethylene synthesis and perception were impaired and chromoplast development was delayed. The results implied that the reduced expression of EIN2 in yft1 leads to suppressed ethylene signaling which results in abnormal carotenoid production.

Dissection of the style's response to pollination using transcriptome profiling in self-compatible (Solanum pimpinellifolium) and self-incompatible (Solanum chilense) tomato species.

BACKGROUND: Tomato (Solanum lycopersicum) self-compatibility (SC) is defined as self-pollen tubes that can penetrate their own stigma, elongate in the style and fertilize their own ovules. Self-incompatibility (SI) is defined as self-pollen tubes that are prevented from developing in the style. To determine the influence of gene expression on style self-pollination, a transcriptome-wide comparative analysis of SC and SI tomato unpollinated/pollinated styles was performed using RNA-sequencing (RNA-seq) data. RESULTS: Transcriptome profiles of 24-h unpollination (UP) and self-pollination (P) styles from SC and SI tomato species were generated using high-throughput next generation sequencing. From the comparison of SC self-pollinated and unpollinated styles, 1341 differentially expressed genes (DEGs) were identified, of which 753 were downregulated and 588 were upregulated. From the comparison of SI self-pollinated and unpollinated styles, 804 DEGs were identified, of which 215 were downregulated and 589 were upregulated. Nine gene ontology (GO) terms were enriched significantly in SC and 78 GO terms were enriched significantly in SI. A total of 105 enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified in SC and 80 enriched KEGG pathways were identified in SI, among which "Cysteine and methionine metabolism pathway" and "Plant hormone signal transduction pathway" were significantly enriched in SI. CONCLUSIONS: This study is the first global transcriptome-wide comparative analysis of SC and SI tomato unpollinated/pollinated styles. Advanced bioinformatic analysis of DEGs uncovered the pathways of "Cysteine and methionine metabolism" and "Plant hormone signal transduction", which are likely to play important roles in the control of pollen tubes growth in SI species.