Progesterone-induced progesterone receptor membrane component 1 rise-to-decline changes are essential for decidualization.

BACKGROUND: Decidualization of endometrial cells is the prerequisite for embryo implantation and subsequent placenta formation and is induced by rising progesterone levels following ovulation. One of the hormone receptors contributing to endometrial homeostasis is Progesterone Receptor Membrane Component 1 (PGRMC1), a non-classical membrane-bound progesterone receptor with yet unclear function. In this study, we aimed to investigate how PGRMC1 contributes to human decidualization. METHODS: We first analyzed PGRMC1 expression profile during a regular menstrual cycle in RNA-sequencing datasets. To further explore the function of PGRMC1 in human decidualization, we implemented an inducible decidualization system, which is achieved by culturing two human endometrial stromal cell lines in decidualization-inducing medium containing medroxyprogesterone acetate and 8-Br-cAMP. In our system, we measured PGRMC1 expression during hormone induction as well as decidualization status upon PGRMC1 knockdown at different time points. We further conferred proximity ligation assay to identify PGRMC1 interaction partners. RESULTS: In a regular menstrual cycle, PGRMC1 mRNA expression is gradually decreased from the proliferative phase to the secretory phase. In in vitro experiments, we observed that PGRMC1 expression follows a rise-to-decline pattern, in which its expression level initially increased during the first 6 days after induction (PGRMC1 increasing phase) and decreased in the following days (PGRMC1 decreasing phase). Knockdown of PGRMC1 expression before the induction led to a failed decidualization, while its knockdown after induction did not inhibit decidualization, suggesting that the progestin-induced 'PGRMC1 increasing phase' is essential for normal decidualization. Furthermore, we found that the interactions of prohibitin 1 and prohibitin 2 with PGRMC1 were induced upon progestin treatment. Knocking down each of the prohibitins slowed down the decidualization process compared to the control, suggesting that PGRMC1 cooperates with prohibitins to regulate decidualization. CONCLUSIONS: According to our findings, PGRMC1 expression followed a progestin-induced rise-to-decline expression pattern during human endometrial decidualization process; and the correct execution of this expression program was crucial for successful decidualization. Thereby, the results of our in vitro model explained how PGRMC1 dysregulation during decidualization may present a new perspective on infertility-related diseases.

Storability and Linear Regression Models of Pericarp Browning and Decay in Fifty Litchi (Litchi chinensis Sonn.) Cultivars at Room Temperature Storage.

The primary cause for the limited shelf life of litchi fruit is rapid pericarp browning and decay. This study aims to evaluate the storability of 50 litchi varieties and establish a linear regression model for pericarp browning and decay based on 11 postharvest physical and chemical indices after 9 days of storage at room temperature. The results indicated that the average value of the browning index and decay rate significantly increased to 3.29% and 63.84% of 50 litchi varieties at day 9, respectively. Different litchi varieties showed different variations in appearance indicators, quality indicators, and physiological indicators. Furthermore, principal component analysis and cluster analysis revealed that Liu Li 2 Hao exhibited the highest resistance to storage, whereas Dong Long Mi Li, Jiao Pan Li, E Dan Li 2 Hao, and Ren Shan Li were not resistant. Stepwise multiple regression analysis further demonstrated that the factors were highly correlated with the decay index, with a partial correlation coefficient of 0.437 between the effective index and the decay index. Therefore, pericarp thickness, relative conductivity, pericarp laccase activity, and total soluble solids were significant indicators for the comprehensive evaluation of litchi browning and decay, and relative conductivity was the significant determinant causing fruit browning. These findings provide a new perspective on the sustainable development of the litchi industry.

A novel soybean malectin-like receptor kinase-encoding gene, GmMLRK1, provides resistance to soybean mosaic virus.

Soybean mosaic virus (SMV) severely damages soybean [Glycine max (L.) Merr.] yield and seed quality. Moreover, the underlying genetic determinants of resistance to SMV remain largely unknown. Here, we performed a genome-wide association study (GWAS) of SMV resistance in a panel of 219 diverse soybean accessions across four environments and identified a new resistance-related gene, GmMLRK1, at the major resistance locus Rsv4 on chromosome 2. GmMLRK1 encodes a malectin-like receptor kinase (RK) that was induced earlier and to a greater degree in leaves of the SMV-resistant cultivar Kefeng No. 1 than in those of the susceptible cultivar Nannong 1138-2 after inoculation. We demonstrated that soybean plants overexpressing GmMLRK1 show broad-spectrum resistance to both strains SC7 and SC3 on the basis of reduced viral accumulation, increased reactive oxygen species production, and local cell death associated with the hypersensitive response. In contrast, GmMLRK1 knockout mutants were more susceptible to both pathotypes. Haplotype analysis revealed the presence of five haplotypes (H1-H5) within the soybean population, and only H1 provided SMV resistance, which was independent of its tightly linked SMV resistance gene RNase-H at the same locus. These results report a novel gene that adds new understanding of SMV resistance and can be used for breeding resistant soybean accessions.

Combined Metabolome and Transcriptome Analyses Unveil the Molecular Mechanisms of Fruit Acidity Variation in Litchi (Litchi chinensis Sonn.).

Fruit acidity determines the organoleptic quality and nutritive value of most fruits. In litchi, although the organic acid composition of pulps is known, the molecular mechanisms and genes underlying variation in fruit acidity remain elusive. Herein, developing pulps of two contrasting litchi varieties, Huaizhi (HZ, low-acidity) and Boye_No.8 (B8, high-acidity), were subjected to metabolomics and transcriptomics, and the dynamic metabolome and transcriptional changes were determined. Measurements revealed that the dominant acidity-related organic acid in litchi pulps is malate, followed in low levels by citrate and tartrate. Variation in litchi pulps' acidity is mainly associated with significant differences in malate and citrate metabolisms during fruit development. Malic acid content decreased by 91.43% and 72.28% during fruit ripening in HZ and B8, respectively. The content of citric acid increased significantly in B8, while in HZ it was reduced considerably. Differentially accumulated metabolites and differentially expressed genes analyses unveiled fumarate, succinate, 2-oxoglutarate, GABA (γ-aminobutyric acid), phosphoenolpyruvate, and citrate metabolisms as the key driving pathways of litchi fruits' acidity variation. The drastic malate and citrate degradation in HZ was linked to higher induction of fumarate and GABA biosynthesis, respectively. Thirty candidate genes, including three key genes (LITCHI026501.m2, fumarase; LITCHI020148.m5, glutamate decarboxylase; and LITCHI003343.m3, glutamate dehydrogenase), were identified for functional studies toward genetic modulation of litchi fruit acidity. Our findings provide insights into the molecular basis of acidity variation in litchi and provide valuable resources for fruit quality improvement.

Cuticular wax metabolism responses to atmospheric water stress on the exocarp surface of litchi fruit after harvest.

Litchi fruit is susceptible to pericarp browning, which is largely due to the oxidation of phenols in pericarp. However, the response of cuticular waxes to water loss of litchi after harvest is less mentioned. In this study, litchi fruits were stored under ambient, dry, water-sufficient, and packing conditions, while rapid pericarp browning and water loss from the pericarp were observed under the water-deficient conditions. The coverage of cuticular waxes on the fruit surface increased following the development of pericarp browning, during which quantities of very-long-chain (VLC) fatty acids, primary alcohols, and n-alkanes changed significantly. Genes involved in the metabolism of such compounds were upregulated, including LcLACS2, LcKCS1, LcKCR1, LcHACD, and LcECR for elongation of fatty acids, LcCER1 and LcWAX2 for n-alkanes, and LcCER4 for primary alcohols. These findings reveal that cuticular wax metabolism may take part in the response of litchi to water-deficient and pericarp browning during storage.

Soybean CALCIUM-DEPENDENT PROTEIN KINASE17 Positively Regulates Plant Resistance to Common Cutworm (Spodoptera litura Fabricius).

Soybean is frequently attacked by herbivorous pests throughout the growth period. Exploring anti-insect genes to improve insect resistance in soybean is an important soybean breeding goal. Here, we cloned and characterized the gene for a quantitative trait locus (QTL) related to insect resistance, Glyma.06g189600, which encodes CALCIUM-DEPENDENT PROTEIN KINASE17 (GmCDPK17) in soybean. The pairwise sequence alignment analysis revealed that the presumed protein of GmCDPK17 shares 52.06% similarity with that of GmCDPK38, a known negative regulatory gene of insect resistance in soybean. Ectopic expression of GmCDPK17 and GmCDPK38 restored the phenotypes of the Arabidopsis insect-susceptible mutant cpk10 and insect-resistant mutant cpk28, respectively. Moreover, transgenic hairy roots of the soybean cultivar Jack were generated by Agrobacterium-mediated transformation. Overexpression of GmCDPK17 increased soybean hairy root resistance to common cutworm (CCW), while RNA interference of the gene decreased soybean hairy root resistance to CCW. Sequencing data from the cultivated and wild soybeans were used to analyze the genetic diversity of GmCDPK17. This gene was subjected to domestication selection. Six and seven haplotypes (Haps) were identified in cultivated and wild soybeans, respectively. The resistance Hap1 is not widely used in cultivated soybeans and is mainly distributed at low latitudes. Accessions with resistance haplotypes of the GmCDPK17 and GmCDPK38 genes showed high resistance to CCW. Altogether, we revealed a novel positive regulatory insect resistance gene, GmCDPK17, which may further improve insect resistance in soybean.

Two Morphological Awareness Components Have Different Roles in Chinese Word Reading Development for Primary Schoolers.

Morphological awareness is multi-factorial by nature and consists of general morphological knowledge and morphological meaning analysis; the first refers to the recognition and manipulation of morphological structures, and the second refers to the inference of word semantics by utilizing morphological knowledge. Contrasting the roles of two morphological awareness components in word reading could help resolve the controversy about whether morphological awareness could independently contribute to Chinese word reading. Thus, the study explored how morphological awareness components contributed to word reading development in Chinese context. A group of 299 Chinese children in grades 3 and 4 were recruited and tested twice with the interval of half a year, by a series of tasks on morphological awareness components, word reading, and some control variables. Results showed that, after controlling for vocabulary and other linguistic variables, morphological meaning analysis could independently predict word reading, whereas general morphological knowledge could only indirectly predict word reading, a process mediated by morphological meaning analysis. This study showed independent contribution of morphological awareness to Chinese word reading development. By clarifying the ways of how different morphological awareness components support children's word reading development, the findings enhance our understanding about the potential mechanism underlying the relation between morphological awareness and Chinese word reading.

Identifying Mitotic Kinesins as Potential Prognostic Biomarkers in Ovarian Cancer Using Bioinformatic Analyses.

Ovarian cancer (OC) is characterized by late-stage presentation, chemoresistance, and poor survival. Evaluating the prognosis of OC patients via effective biomarkers is essential to manage OC progression and to improve survival; however, it has been barely established. Here, we intend to identify differentially expressed genes (DEGs) as potential prognostic biomarkers of OC via bioinformatic analyses. Initially, a total of thirteen DEGs were extracted from different public databases as candidates. The expression of KIF20A, one of the DEGs, was correlated with a worse outcome of OC patients. The functional correlation of the DEGs with mitosis and the prognostic value of KIF20A imply a high correlation between mitotic kinesins (KIFs) and OC development. Finally, we found that KIF20A, together with the other nine mitotic KIFs (4A, 11, 14, 15, 18A, 18B, 23, C1, and2C) were upregulated and activated in OC tissues. Among the ten, seven overexpressed mitotic KIFs (11, 14, 18B, 20A, 23, and C1) were correlated with unfavorable clinical prognosis. Moreover, KIF20A and KIF23 overexpression was associated with worse prognosis in OC patients treated with platinum/taxol chemotherapy, while OCs overexpressing mitotic KIFs (11, 15, 18B, and C1) were resistant to MAPK pathway inhibitors. In conclusion, worse outcomes of OC patients were correlated with overexpression of several mitotic KIFs, which may serve both as prognostic biomarkers and therapeutic targets for OC.

Genome-Wide Analysis of SRNF Genes in Gossypium hirsutum Reveals the Role of GhSRNF18 in Primary Root Growth.

Root systems are instrumental for water and nutrient uptake and the anchorage of plants in the soil. Root regulating GL2-interacting repressors (GIRs) contain a Short RING-like Zinc-Finger (SRNF) domain, but there has been no comprehensive characterization about this gene family in any plant species. Here, we renamed the GIR-like proteins as SRNF proteins due to their conserved domain and identified 140 SRNF genes from 16 plant species including 24 GhSRNF genes in Gossypium hirsutum. Phylogenetic analysis of the SRNFs revealed both similarities and divergences between five subfamilies. Notably, synteny analysis revealed that polyploidization and whole-genome duplication contribute to the expansion of the GhSRNF gene family. Various cis-acting regulatory elements were shown to be pertinent to light, phytohormone, defense responsive, and meristem regulation. Furthermore, GhSRNF2/15 were predominantly expressed in root, whereas the expression of GhSRNF18 is positively correlated with the primary root (PR) length in G. hirsutum, quantified by quantitative real-time PCR (qRT-PCR). Over-expression of GhSRNF18 in Arabidopsis and virus-induced gene silencing (VIGS) of GhSRNF18 in G. hirsutum has revealed the role of GhSRNF18 in PR growth. The over-expression of GhSRNF18 in Arabidopsis resulted in an increase of meristematic activities and auxin accumulations in PRs, which were consistent with the transcriptomic data. Our results suggested that GhSRNF18 positively regulates PR growth. This study increased our understanding of the SRNF gene family in plants and provided a novel rationale for the further investigation of cotton root morphogenesis regulated by the GhSRNFs.

Arabidopsis NF-YCs play dual roles in repressing brassinosteroid biosynthesis and signaling during light-regulated hypocotyl elongation.

Light functions as the primary environmental stimulus and brassinosteroids (BRs) as important endogenous growth regulators throughout the plant lifecycle. Photomorphogenesis involves a series of vital developmental processes that require the suppression of BR-mediated seedling growth, but the mechanism underlying the light-controlled regulation of the BR pathway remains unclear. Here, we reveal that nuclear factor YC proteins (NF-YCs) function as essential repressors of the BR pathway during light-controlled hypocotyl growth in Arabidopsis thaliana. In the light, NF-YCs inhibit BR biosynthesis by directly targeting the promoter of the BR biosynthesis gene BR6ox2 and repressing its transcription. NF-YCs also interact with BIN2, a critical repressor of BR signaling, and facilitate its stabilization by promoting its Tyr200 autophosphorylation, thus inhibiting the BR signaling pathway. Consistently, loss-of-function mutants of NF-YCs show etiolated growth and constitutive BR responses, even in the light. Our findings uncover a dual role of NF-YCs in repressing BR biosynthesis and signaling, providing mechanistic insights into how light antagonizes the BR pathway to ensure photomorphogenic growth in Arabidopsis.

EDS1-interacting J protein 1 is an essential negative regulator of plant innate immunity in Arabidopsis.

Plants have evolved precise mechanisms to optimize immune responses against pathogens. ENHANCED DISEASE SUSCEPTIBILITY 1 (EDS1) plays a vital role in plant innate immunity by regulating basal resistance and effector-triggered immunity. Nucleocytoplasmic trafficking of EDS1 is required for resistance reinforcement, but the molecular mechanism remains elusive. Here, we show that EDS1-INTERACTING J PROTEIN1 (EIJ1), which acts as a DnaJ protein-like chaperone in response to pathogen infection, functions as an essential negative regulator of plant immunity by interacting with EDS1. The loss-of-function mutation of EIJ1 did not affect plant growth but significantly enhanced pathogen resistance. Upon pathogen infection, EIJ1 relocalized from the chloroplast to the cytoplasm, where it interacted with EDS1, thereby restricting pathogen-triggered trafficking of EDS1 to the nucleus and compromising resistance at an early infection stage. During disease development, EIJ1 was gradually degraded, allowing the nuclear accumulation of EDS1 for transcriptional resistance reinforcement. The avirulent strain Pst DC3000 (AvrRps4) abolished the repressive action of EIJ1 by rapidly inducing its degradation in the effector-triggered immunity response. Thus, our findings show that EIJ1 is an essential EDS1-dependent negative regulator of innate plant immunity and provide a mechanistic understanding of how the nuclear versus cytoplasmic distribution of EDS1 is regulated during the immune response.

Observation of the effects of three methods for reducing perineal swelling in children with developmental hip dislocation.

BACKGROUND: Developmental dysplasia of the hip is a developmental abnormality of the hip joint that results from hypoplasia during birth and continues to deteriorate after birth. AIM: To observe the effects of magnesium sulfate wet compress, iodophor wet compress, and ice compress on reducing postoperative perineal swelling in children with developmental hip dislocation to provide effective nursing interventions in the clinic. METHODS: A total of 120 children with hip dislocation after surgery in a third-class A hospital from January 2018 to January 2020 were randomly divided into four groups, the magnesium sulfate wet compress group, iodophor wet compress group, ice compress group and the control group. Data such as height, weight, age, duration of surgery, intraoperative blood loss, postoperative body temperature, swelling duration, pain score, and incidence of blisters were collected and analyzed. RESULTS: There were no significant differences in height, weight, age, duration of surgery, intraoperative blood loss, and postoperative body temperature among the four groups of children. Statistical differences were observed between the intervention groups and the control group (P < 0.05). CONCLUSION: All three methods significantly reduced postoperative perineal swelling in children with developmental hip dislocation, reduced the duration of postoperative perineal swelling, reduced pain, and improved the quality of care.

DELLA and EDS1 Form a Feedback Regulatory Module to Fine-Tune Plant Growth-Defense Tradeoff in Arabidopsis.

Plants maintain a dynamic balance between growth and defense , and optimize allocation of resources for survival under constant pathogen infections. However, the underlying molecular regulatory mechanisms, especially in response to biotrophic bacterial infection, remain elusive. Here, we demonstrate that DELLA proteins and EDS1, an essential resistance regulator, form a central module modulating plant growth-defense tradeoffs via direct interaction. When infected by Pst DC3000, EDS1 rapidly promotes salicylic acid (SA) biosynthesis and resistance-related gene expression to prime defense response, while pathogen infection stabilizes DELLA proteins RGA and RGL3 to restrict growth in a partially EDS1-dependent manner, which facilitates plants to develop resistance to pathogens. However, the increasingly accumulated DELLAs interact with EDS1 to suppress SA overproduction and excessive resistance response. Taken together, our findings reveal a DELLA-EDS1-mediated feedback regulatory loop by which plants maintain the subtle balance between growth and defense to avoid excessive growth or defense in response to constant biotrophic pathogen attack.

Soybean MADS-box gene GmAGL1 promotes flowering via the photoperiod pathway.

BACKGROUND: The MADS-box transcription factors are an ancient family of genes that regulate numerous physiological and biochemical processes in plants and facilitate the development of floral organs. However, the functions of most of these transcription factors in soybean remain unknown. RESULTS: In this work, a MADS-box gene, GmAGL1, was overexpressed in soybean. Phenotypic analysis showed that GmAGL1 overexpression not only resulted in early maturation but also promoted flowering and affected petal development. Furthermore, the GmAGL1 was much more effective at promoting flowering under long-day conditions than under short-day conditions. Transcriptome sequencing analysis showed that before flowering, the photoperiod pathway photoreceptor CRY2 and several circadian rhythm genes, such as SPA1, were significantly down-regulated, while some other flowering-promoting circadian genes, such as GI and LHY, and downstream genes related to flower development, such as FT, LEAFY, SEP1, SEP3, FUL, and AP1, were up-regulated compared with the control. Other genes related to the flowering pathway were not noticeably affected. CONCLUSIONS: The findings reported herein indicate that GmAGL1 may promote flowering mainly through the photoperiod pathway. Interestingly, while overexpression of GmAGL1 promoted plant maturity, no reduction in seed production or oil and protein contents was observed.

Genome-Wide Association Study Reveals Novel Loci for SC7 Resistance in a Soybean Mutant Panel.

Soybean mosaic virus (SMV) is a member of Potyvirus genus that causes severe yield loss and destroys seed quality in soybean [Glycine max (L.) Merr.]. It is important to explore new resistance sources and discover new resistance loci to SMV, which will provide insights to improve breeding strategies for SMV resistance. Here, a genome-wide association study was conducted to accelerate molecular breeding for the improvement of resistance to SMV in soybean. A population of 165 soybean mutants derived from two soybean parents was used in this study. There were 104 SNPs identified significantly associated with resistance to SC7, some of which were located within previous reported quantitative trait loci. Three putative genes on chromosome 1, 9, and 12 were homologous to WRKY72, eEF1Bß, and RLP9, which were involved in defense response to insect and disease in Arabidopsis. Moreover, the expression levels of these three genes changed in resistance and susceptible soybean accessions after SMV infection. These three putative genes may involve in the resistance to SC7 and be worthy to further research. Collectively, markers significantly associated with resistance to SC7 will be helpful in molecular marker-assisted selection for breeding resistant soybean accessions to SMV, and the candidate genes identified would advance the functional study of resistance to SMV in soybean.

Laparoscopic-based score assessment combined with a multiple disciplinary team in management of recurrent ovarian cancer: A single-center prospective study for personalized surgical therapy.

The aim of the study was to evaluate the effect of laparoscopic-based score combined with a multiple disciplinary team (MDT) for predicting optimal cytoreduction and perform personalized surgical treatment in recurrent ovarian cancer (ROC).The study is a single-center, prospective investigation. From March 2013 to May 2015, the consecutive treated patients with platinum-sensitive ROC were collected in Yangpu Hospital. The appropriated patients were enrolled into the study to perform the laparoscopic-based PIV (predictive index value) score assessment with an MDT for predicting optimal cytoreduction. The PIV cutoff value was confirmed to be 8. Patients of PIV <8 received laparoscopic/laparotomy secondary surgery following chemotherapy, and the ones with PIV ≥8 did chemotherapy alone. Sensitivity, specificity, positive predicted value (PPV), negative predicted value (NPV), and overall accuracy for each range of PIV score were calculated. All recruited patients participated in follow-up observation. Overall survival was recorded.In total, 58 eligible ROC patients received laparoscopy assessment. Forty-one patients of PIV <8 received secondary cytoreductive surgeries. Twenty-three (23/41 56.1%) attained optimal cytoreduction. However, 8 of 23 achieved completed cytoreduction. Also, 17 patients of PIV ≥8 underwent chemotherapy alone. Sensitivity, specificity, PPV, NPV, and overall accuracy for PIV ≥8 were 60%, 100%, 100%, 25%, and 64.7%, respectively. Overall survival in patients performing optimal cytoreduction was significantly higher than in those undergoing suboptimal cytoreduction or chemotherapy alone (45.9 ±â€Š2.5 vs 36.7 ±â€Š4.3 months, P = .047; 45.9 ±â€Š2.5 vs 35.8 ±â€Š3.4 months, P = .027).Laparoscopic-based score assessment plus MDT helps to identify the appropriate patients to perform optimal secondary cytoreduction and provide a personalized surgical approach in management of ROC.

Genome-wide analysis of calcium-dependent protein kinases and their expression patterns in response to herbivore and wounding stresses in soybean.

Calcium-dependent protein kinases (CDPKs) play important roles in various aspects of plant physiology and involve in many cellular processes. However, genome-wide analysis of CDPK family in plant species is limited and few studies have been reported in soybean. In this study, a total of 39 genes encoding CDPKs were identified from the whole-genome sequence of soybean (Glycine max), which were denominated as GmCPK1-GmCPK39. These 39 CDPK genes could be classified into four subfamilies, and most genes showed tissue-specific expression patterns. Eight soybean CDPKs clustered together with the previously reported CDPKs related to pathogen, wounding, or herbivore stress were further analyzed. Differential gene expression analysis of these eight CDPK genes in response to herbivore and wounding stresses helps us identify GmCPK3 and GmCPK31 as the candidate genes for herbivore resistance in soybean, whose relative transcript abundance rapidly increased after wound and herbivore attacks. Sub-cellular localization revealed that GmCPK3 and GmCPK31 were localized in plasma membranes, which is consistent with previously reported plant defense related CDPKs. These results may suggest that GmCPK3 and GmCPK31 play important roles in the plant response to biotic stress. Simultaneously, our study will provide an important foundation for further functional characterization of the soybean CDPK gene family.

A hybrid approach to protect palmprint templates.

Biometric template protection is indispensable to protect personal privacy in large-scale deployment of biometric systems. Accuracy, changeability, and security are three critical requirements for template protection algorithms. However, existing template protection algorithms cannot satisfy all these requirements well. In this paper, we propose a hybrid approach that combines random projection and fuzzy vault to improve the performances at these three points. Heterogeneous space is designed for combining random projection and fuzzy vault properly in the hybrid scheme. New chaff point generation method is also proposed to enhance the security of the heterogeneous vault. Theoretical analyses of proposed hybrid approach in terms of accuracy, changeability, and security are given in this paper. Palmprint database based experimental results well support the theoretical analyses and demonstrate the effectiveness of proposed hybrid approach.

Palmprint based multidimensional fuzzy vault scheme.

Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security.