Haplotype-resolved genome assembly of Bletilla striata (Thunb.) Reichb.f. to elucidate medicinal value.

Bletilla striata, commonly known as baiji, is a species used in traditional Chinese medicine; it is highly regarded for its medicinal applications and therefore has high economic value. Here, we report a high-quality haplotype-resolved genome of B. striata, haplotype A (2.37 Gb, with a scaffold N50 of 146.39 Mb and a contig N50 of 1.65 Mb) and haplotype B (2.43 Gb, with a scaffold N50 of 150.22 Mb and a contig N50 of 1.66 Mb), assembled from high-fidelity (HiFi) reads and chromosome conformation capture (Hi-C) reads. We find evidence that B. striata has undergone two whole-genome duplication (WGD) events: an ancient WGD event shared by most monocots and a recent WGD event unique to all orchids. We also reconstructed the ancestral orchid karyotype (AOK) of 18 ancient chromosomes and the evolutionary trajectories of 16 modern B. striata chromosomes. Comparative genomic analysis suggests that the expanded gene families of B. striata might play important roles in secondary metabolite biosynthesis and environmental adaptation. By combining genomic and transcriptomic data, we identified the 10 core members from nine gene families that were probably involved in B. striata polysaccharide (BSP) biosynthesis. Based on virus-induced gene silencing (VIGS) and yeast two-hybrid experiments, we present an MYB transcription factor (TF), BsMYB2, that can regulate BSP biosynthesis by directly interacting with eight key BSP-related genes: sacA1, HK1, scrK1, scrK2, GPI1, manA1, GMPP1 and UGP2_1. Our study will enhance the understanding of orchid evolution and accelerate the molecular-assisted breeding of B. striata for improving traits of medicinal value.

Deciphering brain cellular and behavioral mechanisms: Insights from single-cell and spatial RNA sequencing.

The brain is a complex computing system composed of a multitude of interacting neurons. The computational outputs of this system determine the behavior and perception of every individual. Each brain cell expresses thousands of genes that dictate the cell's function and physiological properties. Therefore, deciphering the molecular expression of each cell is of great significance for understanding its characteristics and role in brain function. Additionally, the positional information of each cell can provide crucial insights into their involvement in local brain circuits. In this review, we briefly overview the principles of single-cell RNA sequencing and spatial transcriptomics, the potential issues and challenges in their data processing, and their applications in brain research. We further outline several promising directions in neuroscience that could be integrated with single-cell RNA sequencing, including neurodevelopment, the identification of novel brain microstructures, cognition and behavior, neuronal cell positioning, molecules and cells related to advanced brain functions, sleep-wake cycles/circadian rhythms, and computational modeling of brain function. We believe that the deep integration of these directions with single-cell and spatial RNA sequencing can contribute significantly to understanding the roles of individual cells or cell types in these specific functions, thereby making important contributions to addressing critical questions in those fields. This article is categorized under: RNA Evolution and Genomics > Computational Analyses of RNA RNA in Disease and Development > RNA in Development RNA in Disease and Development > RNA in Disease.

Circadian-driven tissue specificity is constrained under caloric restricted feeding conditions.

Tissue specificity is a fundamental property of an organ that affects numerous biological processes, including aging and longevity, and is regulated by the circadian clock. However, the distinction between circadian-affected tissue specificity and other tissue specificities remains poorly understood. Here, using multi-omics data on circadian rhythms in mice, we discovered that approximately 35% of tissue-specific genes are directly affected by circadian regulation. These circadian-affected tissue-specific genes have higher expression levels and are associated with metabolism in hepatocytes. They also exhibit specific features in long-reads sequencing data. Notably, these genes are associated with aging and longevity at both the gene level and at the network module level. The expression of these genes oscillates in response to caloric restricted feeding regimens, which have been demonstrated to promote longevity. In addition, aging and longevity genes are disrupted in various circadian disorders. Our study indicates that the modulation of circadian-affected tissue specificity is essential for understanding the circadian mechanisms that regulate aging and longevity at the genomic level.

Complete mitochondrial genome of Urocissa erythroryncha (Passeriformes: Corvidae).

The complete mitochondrial genome of Urocissa erythroryncha is 16930 bp in length. It was predicted to contain 13 PCGs, 22 tRNA genes, and 2 rRNA genes, and a putative control region. All of the PCGs initiated with ATG, except for MT-COX1 which began with GTG and MT-ND3 began with ATA, while stopped by three types of stop codons. Phylogenetic analysis showed that Urocissa erythroryncha and the other species of Corvidae were monophyletic group in this study. And the monophyly of the genus Pyrrhocorax was strongly supported. Moreover, our results also support a sister-group relationship between Corvidae and Muscicapidae.

The complete mitochondrial genome of Anas crecca (Anseriformes: Anatidae).

The complete mitochondrial genome of Anas crecca is 16,596 bp in length. It was predicted to contain 13 PCGs, 22 tRNA genes, and 2 rRNA genes, and a putative control region. All of the PCGs initiate with ATG, except for MT-CO1, MT-CO2, and MT-ND5, which began with GTG. Four types of termination codons were identified. Phylogenetic analysis shows that A. crecca clustered with Anas acuta, and the monophyly of the genera Anser, Cygnus, Aythya, and Anas was strongly supported. Moreover, our results also support a sister-group relationship between Anas and Aythya.