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Genome-Wide Analysis of the Phospholipase D Family in Five Cotton Species, and Potential Role of GhPLD2 in Fiber Development and Anther Dehiscence

ABSTRACT: Phospholipase D (PLD) and its hydrolysis product phosphatidic acid play an important role in the regulation of several cellular processes, including root growth, pollen tube elongation, and microtubule reorganization. Here, we systematically identified and analyzed the membership, characterization, and evolutionary relationship of PLDs in five species of cotton. The results of the transcriptomic analysis suggested that the evaluated PLD genes showed high expression levels in anther tissue and during the fiber initiation and elongation periods. Quantitative real-time polymerase chain reaction showed differential expression of GhPLD genes in the anthers of photoperiod sensitive male sterility mutant 5 (psm5). Previous research on multiple stable quantitative trait loci also suggests the role of PLD genes in the fiber development. Further analyses showed that GhPLD2 protein is localized to the plasma membrane. The virus-induced gene silencing of GhPLD2 in cotton seedlings repressed its expression by 40–70%, which led to a reduction in reactive oxygen species (ROS) levels, 22% anther indehiscence, and disrupted fiber initiation and elongation. Thus, we inferred that GhPLD2 may promote ROS production, which, in turn, may regulate anther dehiscence and fiber development.

SUBMITTER: Ma C

PROVIDER: S-EPMC8517146 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundFrom an economic perspective, cotton is one of the most important crops in the world. The fertility of male reproductive organs is a key determinant of cotton yield. Anther dehiscence or indehiscence directly determines the probability of fertilization in cotton. Thus, rapid and accurate identification of cotton anther dehiscence status is important for judging anther growth status and promoting genetic breeding research. The development of computer vision technology and the advent of big data have prompted the application of deep learning techniques to agricultural phenotype research. Therefore, two deep learning models (Faster R-CNN and YOLOv5) were proposed to detect the number and dehiscence status of anthers.ResultThe single-stage model based on YOLOv5 has higher recognition speed and the ability to deploy to the mobile end. Breeding researchers can apply this model to terminals to achieve a more intuitive understanding of cotton anther dehiscence status. Moreover, three improvement strategies are proposed for the Faster R-CNN model, where the improved model has higher detection accuracy than the YOLOv5 model. We have made three improvements to the Faster R-CNN model and after the ensemble of the three models and original Faster R-CNN model, R2 of "open" reaches to 0.8765, R2 of "close" reaches to 0.8539, R2 of "all" reaches to 0.8481, higher than the prediction results of either model alone, which are completely able to replace the manual counting results. We can use this model to quickly extract the dehiscence rate of cotton anthers under high temperature (HT) conditions. In addition, the percentage of dehiscent anthers of 30 randomly selected cotton varieties were observed from the cotton population under normal conditions and HT conditions through the ensemble of the Faster R-CNN model and manual counting. The results show that HT decreased the percentage of dehiscent anthers in different cotton lines, consistent with the manual method.ConclusionsDeep learning technology have been applied to cotton anther dehiscence status recognition instead of manual methods for the first time to quickly screen HT-tolerant cotton varieties. Deep learning can help to explore the key genetic improvement genes in the future, promoting cotton breeding and improvement.

Project description:BackgroundC2H2-zinc finger protein family is commonly found in the plant, and it is known as the key actors in the regulation of transcription and vital component of chromatin structure. A large number of the C2H2-zinc finger gene members have not been well characterized based on their functions and structure in cotton. However, in other plants, only a few C2H2-zinc finger genes have been studied.ResultsIn this work, we performed a comprehensive analysis and identified 386, 196 and 195 C2H2-zinc finger genes in Gossypium hirsutum (upland cotton), Gossypium arboreum and Gossypium raimondii, respectively. Phylogenetic tree analysis of the C2H2-zinc finger proteins encoding the C2H2-zinc finger genes were classified into seven (7) subgroups. Moreover, the C2H2-zinc finger gene members were distributed in all cotton chromosomes though with asymmetrical distribution patterns. All the orthologous genes were detected between tetraploid and the diploid cotton, with 154 orthologous genes pair detected between upland cotton and Gossypium arboreum while 165 orthologous genes were found between upland cotton and Gossypium raimondii. Synonymous (Ks) and non-synonymous (Ka) nucleotide substitution rates (Ka/Ks) analysis indicated that the cotton C2H2-zinc finger genes were highly influenced mainly by negative selection, which maintained their protein levels after the duplication events. RNA-seq data and RT-qPCR validation of the RNA seq result revealed differential expression pattern of some the C2H2-zinc finger genes at different stages of cotton fiber development, an indication that the C2H2-zinc finger genes play an important role in initiating and regulating fiber development in cotton.ConclusionsThis study provides a strong foundation for future practical genome research on C2H2-zinc finger genes in upland cotton. The expression levels of C2H2-zinc finger genes family is a pointer of their involvement in various biochemical and physiological functions which are directly related to cotton fiber development during initiation and elongation stages. This work not only provides a basis for determining the nominal role of the C2H2-zinc finger genes in fiber development but also provide valuable information for characterization of potential candidate genes involved in regulation of cotton fiber development.

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Genome-Wide Analysis of the Phospholipase D Family in Five Cotton Species, and Potential Role of GhPLD2 in Fiber Development and Anther Dehiscence

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