Plant systems biology: insights,advances and challenges

Plants dwelling at the base of biological food chain are of fundamental significance in providing solutions to some of the most daunting ecological and environmental problems faced by our planet. The reductionist views of molecular biology provide only a partial understanding to the phenotypic knowledge of plants. Systems biology offers a comprehensive view of plant systems, by employing a holistic approach integrating the molecular data at various hierarchical levels. In this  review, we discuss the basics of systems biology including the various ‘omics’ approaches and their integration, the modeling aspects and the tools needed for the plant systems research. A particular emphasis is given to the recent analytical advances, updated published examples of plant systems biology studies and the future trends.     

Interpretation of network-based integration from multi-omics longitudinal data

Multi-omics integration is key to fully understand complex biological processes in an holistic manner. Furthermore, multi-omics combined with new longitudinal experimental design can unreveal dynamic relationships between omics layers and identify key players or interactions in system development or complex phenotypes. However, integration methods have to address various experimental designs and do not guarantee interpretable biological results. The new challenge of multi-omics integration is to solve interpretation and unlock the hidden knowledge within the multi-omics data. In this paper, we go beyond integration and propose a generic approach to face the interpretation problem. From multi-omics longitudinal data, this approach builds and explores hybrid multi-omics networks composed of both inferred and known relationships within and between omics layers. With smart node labelling and propagation analysis, this approach predicts regulation mechanisms and multi-omics functional modules. We applied the method on 3 case studies with various multi-omics designs and identified new multi-layer interactions involved in key biological functions that could not be revealed with single omics analysis. Moreover, we highlighted interplay in the kinetics that could help identify novel biological mechanisms. This method is available as an R package netOmics to readily suit any application.     

Regulation of macroautophagy in Saccharomyces cerevisiae

Macroautophagy (hereafter autophagy) is a cellular degradation process, which in yeast is induced in response to nutrient deprivation. In this process, a double-membrane vesicle, an autophagosome, surrounds part of the cytoplasm and fuses with the vacuole to allow the breakdown and subsequent recycling of the cargo. In yeast, many autophagy-related (ATG) genes have been identified that are required for selective and/or nonselective autophagy. In all autophagy-related pathways, core Atg proteins are required for the formation of the autophagosome, which is one of the most unique aspects of autophagy and is unlike other vesicle transport events. In contrast to nonselective autophagy, the selective processes are induced in response to various specific physiological conditions such as alterations in the carbon source. In this review, we provide an overview of the common aspects concerning the mechanism of autophagy-related pathways, and highlight recent advances in our understanding of the machinery that controls autophagy induction in response to nutrient starvation conditions.     

Atg5- and Atg7-dependent autophagy in dopaminergic neurons regulates cellular and behavioral responses to morphine

The molecular basis of chronic morphine exposure remains unknown. In this study, we hypothesized that macroautophagy/autophagy of dopaminergic neurons would mediate the alterations of neuronal dendritic morphology and behavioral responses induced by morphine. Chronic morphine exposure caused Atg5 (autophagy-related 5)- and Atg7 (autophagy-related 7)-dependent and dopaminergic neuron-specific autophagy resulting in decreased neuron dendritic spines and the onset of addictive behaviors. In cultured primary midbrain neurons, morphine treatment significantly reduced total dendritic length and complexity, and this effect could be reversed by knockdown of Atg5 or Atg7. Mice deficient for Atg5 or Atg7 specifically in the dopaminergic neurons were less sensitive to developing a morphine reward response, behavioral sensitization, analgesic tolerance and physical dependence compared to wild-type mice. Taken together, our findings suggested that the Atg5- and Atg7-dependent autophagy of dopaminergic neurons contributed to cellular and behavioral responses to morphine and may have implications for the future treatment of drug addiction.     

Autophagy and NF-kappaB: fight for fate

Autophagy/macroautophagy is known for its role in cellular homeostasis, development, cell survival, aging, immunity, cancer and neurodegeneration. However, until recently, the mechanisms by which autophagy contributes to these important processes were largely unknown. The demonstration of a direct cross-talk between autophagy and NF-kappaB opens up new frontiers for deciphering the role of autophagy in diverse biological processes. Here, we review our current understanding of autophagy, with a focus on its role in tumor suppression, NF-kappaB inactivation and selective protein degradation in mammals. We also list some most intriguing and outstanding questions that are likely to engage researchers in the near future.     

Passing membranes to autophagy: Unconventional membrane tethering by Atg17

Macroautophagy delivers cytoplasmic material to lysosomal/vacuolar compartments for degradation. Conserved multisubunit complexes, composed of autophagy-related (Atg) proteins, initiate the formation of membrane precursors, termed phagophores. Under physiological conditions these cup-shaped structures can capture cytoplasmic material highly selectively. Starvation or cytotoxic stresses, however, initiate the formation of much larger phagophores to enclose cytoplasm nonselectively. The biogenesis of nonselective autophagosomes is initiated by the hierarchical assembly of the Atg1 kinase complex and the recruitment of Atg9 vesicles at the phagophore assembly site (PAS). In this punctum we summarize our recent findings regarding tethering of Atg9 vesicles by the Atg1 kinase complex. We discuss membrane tethering by and activation of its central subunit Atg17 in the context of other canonical membrane tethering factors. Our results show that Atg17 suffices to bind and tether Atg9 vesicles. The Atg31-Atg29 subcomplex inhibits Atg17 activity, and activation of Atg17 depends on the formation of the Atg1 kinase complex that involves recruiting Atg1-Atg13. Our studies lead to a model of unconventional membrane tethering in autophagy.     

The ULK1 complex

The Atg1/ULK1 complex plays a central role in starvation-induced autophagy, integrating signals from upstream sensors such as MTOR and AMPK and transducing them to the downstream autophagy pathway. Much progress has been made in the last few years in understanding the mechanisms by which the complex is regulated through protein-protein interactions and post-translational modifications, providing insights into how the cell modulates autophagy, particularly in response to nutrient status. However, how the ULK1 complex transduces upstream signals to the downstream central autophagy pathway is still unclear. Although the protein kinase activity of ULK1 is required for its autophagic function, its protein substrate(s) responsible for autophagy activation has not been identified. Furthermore, examples of potential ULK1-independent autophagy have emerged, indicating that under certain specific contexts, the ULK1 complex might be dispensable for autophagy activation. This raises the question of how the autophagic machinery is activated independent of the ULK1 complex and what are the biological functions of such noncanonical autophagy pathways.     

Systematic prediction of autophagy-related proteins using Arabidopsis thaliana interactome data

Autophagy is a self-degradative process that is crucial for maintaining cellular homeostasis by removing damaged cytoplasmic components and recycling nutrients. Such an evolutionary conserved proteolysis process is regulated by the autophagy-related (Atg) proteins. The incomplete understanding of plant autophagy proteome and the importance of a proteome-wide understanding of the autophagy pathway prompted us to predict Atg proteins and regulators in Arabidopsis. Here, we developed a systems-level algorithm to identify autophagy-related modules (ARMs) based on protein subcellular localization, protein–protein interactions, and known Atg proteins. This generates a detailed landscape of the autophagic modules in Arabidopsis. We found that the newly identified genes in each ARM tend to be upregulated and coexpressed during the senescence stage of Arabidopsis. We also demonstrated that the Golgi apparatus ARM, ARM13, functions in the autophagy process by module clustering and functional analysis. To verify the in silico analysis, the Atg candidates in ARM13 that are functionally similar to the core Atg proteins were selected for experimental validation. Interestingly, two of the previously uncharacterized proteins identified from the ARM analysis, AGD1 and Sec14, exhibited bona fide association with the autophagy protein complex in plant cells, which provides evidence for a cross-talk between intracellular pathways and autophagy. Thus, the computational framework has facilitated the identification and characterization of plant-specific autophagy-related proteins and novel autophagy proteins/regulators in higher eukaryotes.     

A missing piece of the puzzle: Atg11 functions as a scaffold to activate Atg1 for selective autophagy

The mechanism regulating Atg1 kinase activity for the initiation of selective macroautophagy (hereafter autophagy) under nutrient-rich conditions has been a long-standing question. Canonically in yeast, nutrient starvation or rapamycin treatment repress TOR complex 1 and stimulate the Atg1 complex (including at least Atg1, Atg13, Atg17, Atg29 and Atg31), which allows the recruitment of downstream autophagy-related (Atg) components to the phagophore assembly site (PAS), culminating in phagophore formation, and, subsequently, autophagosome biogenesis. Atg1 also functions under conditions promoting selective autophagy that do not necessarily require nutrient deprivation for induction. However, there has been some debate as to whether Atg1 catalytic activity plays a more important role under conditions of nutrient starvation-induced autophagy (i.e., bulk autophagy) vs. selective autophagy (e.g., the cytoplasm-to-vacuole targeting [Cvt] pathway). A recent paper by Kamber and colleagues investigates the mechanism regulating Atg1 activity during selective autophagy.     

Hrr25: An emerging major player in selective autophagy regulation in Saccharomyces cerevisiae

As with the case of the mechanism of autophagosome formation, studies in yeast have taken a leading role in elucidating the molecular basis of target recognition during selective autophagy. Degradation targets are recognized by receptor proteins, which also bind to Atg8 homologs on growing phagophore membranes, leading to the loading of the targets into autophagosomes. However, it remains to be elucidated how these processes are regulated. In yeast, receptors also interact with the scaffold/adaptor protein Atg11, which subsequently recruits core Atg proteins onto receptor-target complexes to initiate autophagosome formation. Recently, we found that Hrr25, a homolog of CSNK1D/casein kinase 1δ, regulates 3 of 4 selective autophagy-related pathways in the budding yeast Saccharomyces cerevisiae by a uniform mechanism: phosphoregulation of the receptor-scaffold interaction.     

Omics-based molecular analyses of adhesion by aquatic invertebrates

Many aquatic invertebrates are associated with surfaces, using adhesives to attach to the substratum for locomotion, prey capture, reproduction, building or defence. Their intriguing and sophisticated biological glues have been the focus of study for decades. In all but a couple of specific taxa, however, the precise mechanisms by which the bioadhesives stick to surfaces underwater and (in many cases) harden have proved to be elusive. Since the bulk components are known to be based on proteins in most organisms, the opportunities provided by advancing ‘omics technologies have revolutionised bioadhesion research. Time-consuming isolation and analysis of single molecules has been either replaced or augmented by the generation of massive data sets that describe the organism's translated genes and proteins. While these new approaches have provided resources and opportunities that have enabled physiological insights and taxonomic comparisons that were not previously possible, they do not provide the complete picture and continued multi-disciplinarity is essential. This review covers the various ways in which ‘omics have contributed to our understanding of adhesion by aquatic invertebrates, with new data to illustrate key points. The associated challenges are highlighted and priorities are suggested for future research.     

Advances in omics and bioinformatics tools for systems analyses of plant functions

Omics and bioinformatics are essential to understanding the molecular systems that underlie various plant functions. Recent game-changing sequencing technologies have revitalized sequencing approaches in genomics and have produced opportunities for various emerging analytical applications. Driven by technological advances, several new omics layers such as the interactome, epigenome and hormonome have emerged. Furthermore, in several plant species, the development of omics resources has progressed to address particular biological properties of individual species. Integration of knowledge from omics-based research is an emerging issue as researchers seek to identify significance, gain biological insights and promote translational research. From these perspectives, we provide this review of the emerging aspects of plant systems research based on omics and bioinformatics analyses together with their associated resources and technological advances.     

Structure of the novel C-terminal domain of vacuolar protein sorting 30/autophagy-related protein 6 and its specific role in autophagy

Vacuolar protein sorting 30 (Vps30)/autophagy-related protein 6 (Atg6) is a common component of two distinct phosphatidylinositol 3-kinase complexes. In complex I, Atg14 links Vps30 to Vps34 lipid kinase and exerts its specific role in autophagy, whereas in complex II, Vps38 links Vps30 to Vps34 and plays a crucial role in vacuolar protein sorting. However, the molecular role of Vps30 in each pathway remains unclear. Here, we report the crystal structure of the carboxyl-terminal domain of Vps30. The structure is a novel globular fold comprised of three β-sheet-α-helix repeats. Truncation analyses showed that the domain is dispensable for the construction of both complexes, but is specifically required for autophagy through the targeting of complex I to the pre-autophagosomal structure. Thus, the domain is named the β-α repeated, autophagy-specific (BARA) domain. On the other hand, the N-terminal region of Vps30 was shown to be specifically required for vacuolar protein sorting. These structural and functional investigations of Vps30 domains, which are also conserved in the mammalian ortholog, Beclin 1, will form the basis for studying the molecular functions of this protein family in various biological processes.     

羧肽酶Y标记蛋白质羧基端方法的优化及应用

蛋白质水解是一种重要的翻译后修饰,它在许多生化过程 (如细胞凋亡和肿瘤细胞转移等) 中起着极其重要的作用。鉴定蛋白质水解位点可以进一步加深我们对这些生化过程的认识。尽管蛋白质氨基端标记方法和蛋白质组学在复杂生物体系中鉴定获得了许多蛋白质的水解位点,但这种方法存在固有的缺陷。羧基端标记方法是另一种可行的鉴定蛋白质水解位点的方法。本文优化了蛋白质羧基端生物酶标记方法,提高了亲和标记效率,从而可以更好地利用正向分离方法对蛋白质羧基端多肽进行分离并用质谱鉴定。我们用优化后的羧基端标记方法来标记大肠杆菌Escherichia coli复杂蛋白样品后鉴定到了120多个蛋白质羧基端多肽和内切多肽。在其所鉴定的蛋白质水解位点中,我们发现了许多已知和未知的位点,这些新的水解位点有可能在正常生化过程的调控发挥着重要的作用。该研究提供了一个可以与蛋白质氨基端组学互为补充、可在复杂体系中鉴定蛋白质水解的方法。