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Summary: Transient and rapid increase in cytosolic Ca2+ plays a crucial role in plant–pathogen‐associated molecular pattern (PAMP)‐triggered immunity (PTI). Cyclic nucleotide‐gated channels (CNGCs) have been implicated in mediating this Ca2+ influx; however, their regulatory mechanisms remain poorly understood.Here, we have found that AVRblb2 requires the calmodulin (CaM) and calmodulin‐like (CML) proteins as co‐factors to interact with the NbCNGCs, resulting in the formation of AVRblb2‐CaM/CML‐NbCNGCs complex. Furthermore, CaM and CML are dissociated from NbCNGC18 during PTI response to increase Ca2+ influx; however, Avrblb2 inhibits calcium channel activation by disrupting the release of CaM and CML from NbCNGC18.Following recognition of PAMP, NbCNGC18 forms active heteromeric channels with other NbCNGCs, which may give selectivity of CNGC complex against diverse signals for fine‐tuning of cytosolic Ca2+ level to mediate appropriate responses. Silencing of multiple NbCNGCs compromised the function of AVRblb2 on the pathogenicity of Phytophthora infestans, confirming that AVRblb2 contributes to pathogen virulence by targeting CNGCs.Our findings provide new insights into the regulation of CNGCs in PTI and the role of pathogen effectors in manipulating host cell physiology to promote infection. [ABSTRACT FROM AUTHOR]

ObjectivesThe Xq28 region containing IRAK1 and MECP2 has been identified as a risk locus for systemic lupus erythematosus (SLE) in previous genetic association studies. However, due to the strong linkage disequilibrium between IRAK1 and MECP2, it remains unclear which gene is affected by the underlying causal variant(s) conferring risk of SLE.MethodsWe fine-mapped ≥136 SNPs in a ∼227 kb region on Xq28, containing IRAK1, MECP2 and seven adjacent genes (L1CAM, AVPR2, ARHGAP4, NAA10, RENBP, HCFC1 and TMEM187), for association with SLE in 15 783 case-control subjects derived from four different ancestral groups.ResultsMultiple SNPs showed strong association with SLE in European Americans, Asians and Hispanics at p

SUMMARY: Plant nucleotide‐binding domain leucine‐rich‐repeat receptor (NLR) confers disease resistance to various pathogens by recognizing effectors derived from the pathogen. Previous studies have shown that overexpression of the CC domain in several NLRs triggers cell death, implying that the CC domain plays an important role as a signaling module. However, how CC domain transduces immune signals remains largely unknown. A Potyvirus‐resistant NLR protein, Pvr4, possesses a CC domain (CCPvr4) that induces cell death upon transient overexpression in Nicotiana benthamiana. In this study, loss‐of‐function mutants were generated by error‐prone PCR‐based random mutagenesis to understand the molecular mechanisms underlying CCPvr4‐mediated cell death. Cell biology and biochemical studies revealed that M16 and Q52 in the α1 and α2 helices, respectively, are crucial for protein stability, and mutation of these residues disrupts localization to the plasma membrane and oligomerization activity. The increase of the protein stability of these mutants by tagging a green fluorescent protein (GFP) variant led to restoration of cell death‐inducing activity and plasma membrane localization. Another mutant, I7E in the very N‐terminal region, lost cell death‐inducing activity by weakening the interaction with plasma membrane H+‐ATPase compared to CCPvr4, although the protein remained in the plasma membrane. Moreover, most of the mutated residues are on the outer surface of the funnel shape in the predicted pentameric CCPvr4, implying that the disordered N‐terminal region plays a crucial role in association with PMA as well as targeting to the plasma membrane. This work could provide insights into the molecular mechanisms of cell death induced by NLR immune receptors. Significance Statement: Our work demonstrates that pepper Pvr4, a resistance protein for potyviruses, targets to the plasma membrane to trigger defense responses including hypersensitive resistance and N‐terminal coiled‐coil domain is responsible for its localization and immune responses. The mutants generated from random mutagenesis and homology‐based structure modeling revealed that of outer surface of CC domain composed of α1 and α2 helices are crucial for their protein stability, plasma membrane targeting and self‐association. [ABSTRACT FROM AUTHOR]

Background Children's motor development is a crucial tool for assessing developmental levels, identifying developmental disorders early, and taking appropriate action. Although the Korean Developmental Screening Test for Infants and Children (K-DST) can accurately assess childhood development, its dependence on parental surveys rather than reliable, professional observation limits it. This study constructed a dataset based on a skeleton of recordings of K-DST behaviors in children aged between 20 and 71 months, with and without developmental disorders. The dataset was validated using a child behavior artificial intelligence (AI) learning model to highlight its possibilities. Results The 339 participating children were divided into 3 groups by age. We collected videos of 4 behaviors by age group from 3 different angles and extracted skeletons from them. The raw data were used to annotate labels for each image, denoting whether each child performed the behavior properly. Behaviors were selected from the K-DST's gross motor section. The number of images collected differed by age group. The original dataset underwent additional processing to improve its quality. Finally, we confirmed that our dataset can be used in the AI model with 93.94%, 87.50%, and 96.31% test accuracy for the 3 age groups in an action recognition model. Additionally, the models trained with data including multiple views showed the best performance. Conclusion Ours is the first publicly available dataset that constitutes skeleton-based action recognition in young children according to the standardized criteria (K-DST). This dataset will enable the development of various models for developmental tests and screenings. [ABSTRACT FROM AUTHOR]