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Pathogenesis-related (PR) proteins, found in plants, play a crucial role in responding to both biotic and abiotic stresses and are categorized into 17 distinct families based on their properties and functions. We have conducted a phylogenetic analysis of OsPR1 genes (rice PR1 genes) in conjunction with 58 putative PR1 genes identified in Brachypodium distachyon , Hordeum vulgare , Brassica rapa , and Zea mays through BLASTP predictions. We extensively investigated the responses of the remaining 11 rice PR1 genes, using OsPR1a as a reference, under various stress conditions, including phytohormone treatments (salicylic acid and brassinosteroid [BR]), wounding, and heat stress (HS). In rice, of the 32 predicted OsPR1 genes, 12 have been well-characterized for their roles in disease resistance, while the functions of the remaining genes have not been studied extensively. In our study, we selected an additional 11 OsPR1 genes for further analysis and constructed a phylogenetic tree based on the presence of a 10-amino-acid-long conserved motif within these proteins. The phylogenetic analysis revealed that both OsPR1a from earlier studies and OsPR1-74 from our current study belong to the same clade. These genes consistently exhibit upregulation in response to diverse stress treatments such as biotic stress and abiotic stresses such as heat, drought, and salinity, indicating their potential roles in enhancing stress tolerance in rice. Significantly, this study delves into the previously unexplored role of OsPR1 genes in responding to Brassinosteroid (BR) and heat stress (HS) treatments, confirming their involvement in stress responses through qRT-PCR analysis. We found that seven genes were upregulated by EBR treatment. During heat stress (HS), six and seven genes were upregulated at 1hand 4h HS, respectively. The remaining genes OsPR1-22 and OsPR1-75 were upregulated at 1h but downregulated at 4h HS and under EBR treatment. In contrast, OsPR1-76 was upregulated at both 1h and 4h HS, but downregulated under EBR treatment. Promoters of PR1 genes in rice and other crops are rich in transcription factor binding sites (TFBSs) and feature a conserved Cysteine-rich secretory protein (SCP or CAP) motif. This study advances our understanding of PR1 gene regulation and its potential to enhance stress tolerance in rice. [ABSTRACT FROM AUTHOR]

Impatiens devendrae Pusalkar is reported here as a new distribution record for the flora of Jammu & Kashmir from the Nathatop area in the forest range Batote of Ramban District. The identifying characteristics of the species include the presence of yellow streaks on the triangular lateral united petals, pinkish-white flowers, oblongbucciniform lower sepals, abruptly constricted into hooked spurs. Previously, the species was reported from Uttarakhand. [ABSTRACT FROM AUTHOR]

The deaf and hearing-impaired community expresses their emotions, communicates with society, and enhances the interaction between humans and computers using sign language gestures. This work presents a strategy for efficient feature extraction that uses a combination of two different methods that are the convolutional block attention module (CBAM)-based convolutional neural network (CNN) and standard handcrafted histogram of oriented gradients (HOG) feature descriptor. The proposed framework aims to enhance accuracy by extracting meaningful features and resolving issues like rotation, similar hand orientation, etc. The HOG feature extraction technique provides a compact feature representation that signifies meaningful information about sign gestures. The CBAM attention module is incorporated into the structure of CNN to enhance feature learning using spatial and channel attention mechanisms. Then, the final feature vector is formed by concatenating these features. This feature vector is provided to the classification layers to predict static sign gestures. The proposed approach is validated on two publicly available static Massey American Sign Language (ASL) and Indian Sign Language (ISL) databases. The model's performance is evaluated using precision, recall, F1-score, and accuracy. Our proposed methodology achieved 99.22% and 99.79% accuracy for the ASL and ISL datasets. The acquired results signify the efficiency of the feature fusion and attention mechanism. Our network performed better in accuracy compared to the earlier studies. [ABSTRACT FROM AUTHOR]