Integrative transcriptomics and proteomics analysis constructs a new molecular model for ovule abortion in the female-sterile line of Pinus tabuliformis Carr

Laser microdissection and fluorescence in situ hybridization reveal the tissue-specific gene expression in the ovules of P. tabulaeformis Carr

Ovules are important carriers for seed plant reproduction, and ovules of gymnosperms are composed mainly of female gametophyte (FG) and adjacent diploid tissue (ADT). To investigate tissue-specific genes in the ovules of Pinus tabulaeformis Carr., we used laser microdissection (LMD) to separate FGs and ADTs, and performed linear amplification to construct cDNA libraries, obtaining a total of 156 expressed sequence tags (EST). Furthermore, some differentially expressed genes between FG and ADT of P. tabulaeformis ovule were screened by the analysis of EST. In addition, the expression levels of key genes in fertile line (FL) and sterile line (SL) ovules during development were verified by RT-qPCR, and we found that both PtRPL7a and PtDHN4 were more highly expressed in FL in each period (at least 1.7 times that of SL). Finally, fluorescence in situ hybridization (FISH) was used to reveal the temporal and spatial expression patterns of PtRPL7a and PtDHN4 in the ovules of P. tabuliformis during ovule development between FL and SL. Our results indicate that the expression levels and the locations of PtRPL7a and PtDHN4 show significant differences in different tissues during ovule development between FL and SL. This study further elucidates the molecular mechanism of the ovule abortion of P. tabulaeformis and provides a theoretical basis for the germplasm optimization of gymnosperms.

Integrated Metabolome and Transcriptome Analyses Provides Insights into Ovule Abortion in Camellia oleifera

Camellia oleifera is a unique woody edible oil tree species in China, and the ovule development affects the yield of seeds. This study selected three different types of C. oleifera clones and used LC-MS, RNA-seq, and other techniques to compare the endogenous hormone contents, gene expression levels, and metabolite changes between normal and aborted ovules. The results showed that high levels of ABA, JA, and SA may lead to the phenotype of ovule abortion. A total of 270 differential metabolites were identified in the metabolome, with L-methionine, citrulline, L-tryptophan, L-phenylalanine, and indolepyruvate being downregulated to varying degrees in the aborted ovules. Genes involved in plant hormone synthesis and response, such as GH3.1, IAA14, PIN1, AUX22, ARF1_2, BZR1_2, GA2ox, ERFC3, ABF2, and PYL8, responded to ovule development. This study elucidates the physiological, metabolic, and transcriptional responses to ovule abortion, providing a theoretical basis for understanding ovule development and yield regulation in C. oleifera.

Comparative transcriptome analysis reveals candidate genes related to the sex differentiation of Schisandra chinensis

Schisandra chinensis is a monoecious plant with unisex flowers. The fruit of S. chinensis is of high medical with economic value. The yield of S. chinensis fruit is related to the ratio of its female and male flowers. However, there is little research on its floral development and sex differentiation. To elucidate the possible mechanism for the sex differentiation of S. chinensis, we collected 18 samples of female and male flowers from three developmental stages and performed a comparative RNA-seq analysis aimed at identifying differentially expressed genes (DEGs) that may be related to sex differentiation. The results showed 936, 7179, and 6890 differentially expressed genes between female and male flowers at three developmental stages, respectively, and 466 candidate genes may play roles in sex differentiation. KEGG analysis showed genes involved in the flavonoid biosynthesis pathway and DNA replication pathway were essential for the development of female flowers. 51 MADS-box genes and 10 YABBY genes were identified in S. chinensis. The DEGs analysis indicated that MADS-box and YABBY genes were strongly related to the sex determination of S. chinensis. RT-qPCR confirmed the RNA-seq results of 20 differentially expressed genes, including three male-biased genes and 17 female-biased genes. A possible regulatory model of sex differentiation in S. chinensis was proposed according to our results. This study helps reveal the sex-differentiation mechanism of S. chinensis and lays the foundation for regulating the male-female ratio of S. chinensis in the future.

Comparative analysis of the transcriptome during single-seed formation of Castanea henryi: regulation of starch metabolism and endogenous hormones

BACKGROUND

In seed plants, the ovule is the precursor to the seed. The process of ovule development and differentiation is regulated by multiple factors, including starch metabolism and endogenous hormones. Castanea henryi produces nuts with high nutritional value. However, the high proportion of empty buds restricts the commercial use of the tree. Previous studies have shown that the empty bud phenotype is closely related to ovule abortion. If none of the ovules in the ovary expand rapidly and develop in 7-8 weeks after pollination, an empty bud will form. Therefore, we studied the development and molecular mechanisms underlying single seed formation in C. henryi.

RESULTS

We found that 49 days after pollination (DAP) is a critical period for the formation of fertile and abortive ovules. The morphology and starch distribution of the fertile and abortive ovules differed significantly at 49 DAP. The fertile ovules were smooth and round in appearance, with a large amount of starch. In contrast, abortive ovules were smaller with only a small amount of starch. The embryo sac of the abortive ovule proceeded to develop abnormally, and the entire ovule lacked starch. We identified 37 candidate genes involved in metabolism with potential roles in the regulation of starch levels. Three ADP-glucose pyrophosphorylase (AGPase) genes, one granule-bound starch synthase (GBSS) gene, and two beta-amylase genes could affect starch accumulation. The levels of auxin, cytokinins, gibberellins, and jasmonic acid in fertile ovules were higher than those in abortive ovules. In addition, the levels of endogenous abscisic acid and salicylic acid in abortive ovules were higher than those in fertile ovules of the same age, consistent with the expression patterns of genes related to the synthesis of abscisic and salicylic acid and signal transduction. We identified and mapped the differentially expressed genes associated with hormone synthesis and signal transduction.

CONCLUSIONS

These results improve our general understanding of the molecular mechanisms underlying single seed development in C. henryi and the phenomenon of empty buds, providing directions for future research.

A Bivariate Mapping Model Identifies Major Covariation QTLs for Biomass Allocation Between Leaf and Stem Growth of Catalpa bungei

Biomass allocation plays a critical role in plant morphological formation and phenotypic plasticity, which greatly impact plant adaptability and competitiveness. While empirical studies on plant biomass allocation have focused on molecular biology and ecology approaches, detailed insight into the genetic basis of biomass allocation between leaf and stem growth is still lacking. Herein, we constructed a bivariate mapping model to identify covariation QTLs governing carbon (C) allocation between the leaves and stem as well as the covariation of traits within and between organs in a full-sib mapping population of C. bungei. A total of 123 covQTLs were detected for 23 trait pairs, including six leaf traits (leaf length, width, area, perimeter, length/width ratio and petiole length) and five stem traits (height, diameter at breast height, wood density, stemwood volume and stemwood biomass). The candidate genes were further identified in tissue-specific gene expression data, which provided insights into the genetic architecture underlying C allocation for traits or organs. The key QTLs related to growth and biomass allocation, which included UVH1, CLPT2, GAD/SPL, COG1 and MTERF4, were characterised and verified via gene function annotation and expression profiling. The integration of a bivariate Quantitative trait locus mapping model and gene expression profiling will enable the elucidation of genetic architecture underlying biomass allocation and covariation growth, in turn providing a theoretical basis for forest molecular marker-assisted breeding with specific C allocation strategies for adaptation to heterogeneous environments.

Complex Networks of Prion-Like Proteins Reveal Cross Talk Between Stress and Memory Pathways in Plants

Prions are often considered as molecular memory devices, generating reproducible memory of a conformational change. Prion-like proteins (PrLPs) have been widely demonstrated to be present in plants, but their role in plant stress and memory remains unexplored. In this work, we report the widespread presence of PrLPs in plants through a comprehensive meta-analysis of 39 genomes representing major taxonomic groups. We find diverse functional roles associated with these proteins in various species and term the full complement of PrLPs in a genome as its "prionome." In particular, we found the rice prionome being significantly enriched in transposons/retrotransposons (Ts/RTRs) and identified over 60 rice PrLPs that were differentially regulated in stress and developmental responses. This prompted us to explore whether and to what extent PrLPs may build stress memory. By integrating the available rice interactome, transcriptome, and regulome data sets, we could find links between stress and memory pathways that would not have otherwise been discernible. Regulatory inferences derived from the superimposition of these data sets revealed a complex network and cross talk between PrLPs, transcription factors (TFs), and the genes involved in stress priming. This integrative meta-analysis connects transient and transgenerational memory mechanisms in plants with PrLPs, suggesting that plant memory may rely upon protein-based signals in addition to chromatin-based epigenetic signals. Taken together, our work provides important insights into the anticipated role of prion-like candidates in stress and memory, paving the way for more focused studies for validating the role of the identified PrLPs in memory acclimation.

Determination of conifer age biomarker DAL1 interactome using Y2H-seq

Age is a sophisticated physiological signal that ensures the sequence of different developmental stages in organisms. The regulation of ageing pathways appears to differ between gymnosperms and angiosperms. We previously identified DAL1 as a conserved conifer age biomarker that plays a crucial role in the transition from vegetative to reproductive life-history phases in pines. Therefore, elucidating the specific interaction events related to DAL1 is key to understanding how age drives conifer development. Large-scale yeast two-hybrid (Y2H) analysis followed by next-generation high-throughput sequencing (Y2H-seq) allowed us to identify 135 PtDAL1 interacting proteins in Pinus tabuliformis. Our study found that PtDAL1 interacting proteins showed an ageing-related module, with sophisticated interacting networks composed of transcription factors (TFs), transcriptional regulators (TRs), and kinases. These interacting proteins are produced in response to a variety of phytohormones and environmental signals, and are likely involved in wood formation, needle development, oleoresin terpenoids biosynthesis, and reproductive development. In this study, we propose a novel regulation model of conifer ageing pathways whereby PtDAL1 coordinates different environmental stimuli and interacts with corresponding proteins to regulate appropriate development.

Metabolome and Transcriptome Association Analysis Reveals Regulation of Flavonoid Biosynthesis by Overexpression of LaMIR166a in Larix kaempferi (Lamb.) Carr

Somatic embryogenesis is an ideal model process for studying early plant development. Embryonic cell lines of Larix kaempferi (Lamb.) Carr overexpressing LaMIR166a were obtained in our previous study. Here, a combination of de novo transcriptomics and extensively targeted metabolomics was used to study the transcriptional profiles and metabolic changes in wild-type and LaMIR166a-overexpressed embryonic cell lines. A total of 459 metabolites were found in the wild-type and transgenic cell lines. Compared to those in the wild-type cell lines, transcripts and metabolites were significantly altered in the LaMIR166a-overexpressed cell lines. Among differentially expressed genes (DEGs), phenylalanine and flavonoid synthesis genes were significantly enriched, and among differentially accumulated metabolites (DAMs), phenolic acids and flavonoids accumulated in particularly high amounts. Thus, the flavonoid biosynthetic pathway seems to be the most abundant pathway in response to LaMIR166a overexpression. Based on the Kyoto Encyclopedia of Genes and Genomes database, the association analysis of metabolome and transcriptome data showed that flavonoid biosynthesis and plant hormone signal transduction processes were significantly changed in miR166a-overexpression lines, suggesting that miR166 might be involved in these processes. The present study identified a number of potential metabolites associated with LaMIR166a overexpression, providing a significant foundation for a better understanding of the regulatory mechanisms underlying miR166.