A 2500-year climate and environmental record inferred from subfossil chironomids from Lugu Lake, southwestern China

Chang, Jie; Zhang, Enlou; Liu, Enfeng; Sun, Weiwei; Langdon, Peter G.; Shulmeister, James

doi:10.1007/s10750-017-3488-5

Cited by 22 publications

(10 citation statements)

References 72 publications

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“…All organisms have evolved mechanisms to cope with a broad range of biotic and abiotic stresses (Hou et al, 2012;Liu et al, 2012;Tian et al, 2017;Chang et al, 2018). The former is caused by external organisms such as bacteria, virus, fungi, and animals (Liang et al, 2010;Huang et al, 2013;Zhang et al, 2014;Zhang F. et al, 2015;Xing et al, 2017), whereas the latter is attributable to environmental conditions, such as drought Tang et al, 2017), cold temperature (Sui, 2015), changes in salinity (Cui et al, 2018), and so on.…”

Section: Introductionmentioning

confidence: 99%

Cell Cycle Regulation in the Plant Response to Stress

2020

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As sessile organisms, plants face a variety of environmental challenges. Their reproduction and survival depend on their ability to adapt to these stressors, which include water, heat stress, high salinity, and pathogen infection. Failure to adapt to these stressors results in programmed cell death and decreased viability, as well as reduced productivity in the case of crop plants. The growth and development of plants are maintained by meiosis and mitosis as well as endoreduplication, during which DNA replicates without cytokinesis, leading to polyploidy. As in other eukaryotes, the cell cycle in plants consists of four stages (G1, S, G2, and M) with two major check points, namely, the G1/S check point and G2/M check point, that ensure normal cell division. Progression through these checkpoints involves the activity of cyclin-dependent kinases and their regulatory subunits known as cyclins. In order for plants to survive, cell cycle control must be balanced with adaption to dynamic environmental conditions. In this review, we summarize recent advances in our understanding of cell cycle regulation in plants, with a focus on the molecular interactions of cell cycle machinery in the context of stress tolerance. FIGURE 1 | Schematic representation of the mitotic cell cycle in plants.At the G1 phase, D-type cyclins (CYCD) interact with the A-type CDK (CDKA), forming the CDKA/CYCD complex. The activity of CDKA/CYCD complex can be negatively regulated by KPR and SIM proteins. Once activation, this complex phosphorylates RBR to release the transcript factor E2Fa/b-DP. This E2Fa/b-DP complex binds to the E2F box and activate the transcription of S phase genes. At the G2 and M phase S, CYCA and CYCB are strongly expressed and their gene products assemble with CDKA and CDKB. The CYCD can also associate with CDKs. At the beginning of G2 phase, CDK activity are inhibited because of the phosphorylation of Y14 and T15 site by WEEI kinase. The CDC25-related kinase, which removes the inhibitory phosphate groups, still needs to be identified. Once the CDK/CYC complex are active, they phosphorylate MYB3R transcription factors and activate mitotic genes' transcription. Mitotic exit requires anaphase-promoting complex (APC), which degrades cyclins through ubiquitin-proteasome pathway.

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Section: Introductionmentioning

confidence: 99%

Cell Cycle Regulation in the Plant Response to Stress

2020

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“…The ovarian tumor related process 94 “regulation of receptor activity” (GO:0010469) connected module M_11 and M_194 in phylostrata PS6–PS10, and connected module M_11 and M_84 in phylostrata PS12–PS19. Our findings have some evolutionary implications on macro-evolutionary trends of ovarian cancer, traditionally studied by fossil analysis 65 . The ancient origin of OV genes and their cooperators (founder genes) suggests that they were involved in older biological processes.…”

Section: Discussionmentioning

confidence: 70%

Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer

Zhang

Tan

Fan

et al. 2019

Sci Rep

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Ovarian cancer (OV) is an extremely lethal disease. However, the evolutionary machineries of OV are still largely unknown. Here, we used a method that combines phylostratigraphy information with gene co-expression networks to extensively study the evolutionary compositions of OV. The present co-expression network construction yielded 18,549 nodes and 114,985 edges based on 307 OV expression samples obtained from the Genome Data Analysis Centers database. A total of 20 modules were identified as OV related clusters. The human genome sequences were divided into 19 phylostrata (PS), the majority (67.45%) of OV genes was already present in the eukaryotic ancestor. There were two strong peaks of the emergence of OV genes screened by hypergeometric test: the evolution of the multicellular metazoan organisms (PS5 and PS6, P value = 0.002) and the emergence of bony fish (PS11 and PS12, P value = 0.009). Hence, the origin of OV is far earlier than its emergence. The integrated analysis of the topology of OV modules and the phylogenetic data revealed an evolutionary pattern of OV in human, namely, OV modules have arisen step by step during the evolution of the respective lineages. New genes have evolved and become locked into a pathway, where more and more biological pathways are fixed into OV modules by recruiting new genes during human evolution.

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“…The qualitative approach to environmental risk assessment in transport is based on long-term research, which relies on the historical basis of our research organizations. The second key part is the company’s interest in environmental safety as one of the priorities [ 7 , 8 , 15 , 25 , 30 , 47 ]. If we compare different sectors of the national economy, we will find out that the issue of environmental risk assessment is addressed at different levels.…”

Section: Discussionmentioning

confidence: 99%

“…The research is focused on different parts of the environment. An example to be used in our publication is the article 2500-Year Climate and Environmental Record Inferred from Subfossil Chironomids from Lugu Lake, by the author team led by Chang et al [ 8 ] from 2018. The research focused on multi-proxy indicators for catchment erosion at Lugu Lake puts forward a methodological approach that the issue of environmental change must be considered in a long time series.…”

Section: Literature Reviewmentioning

confidence: 99%

Qualitative Approach to Environmental Risk Assessment in Transport

Dvořák

Řehák

Dávid

et al. 2020

IJERPH

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The purpose of this paper is to present the development of a qualitative approach to environmental risk assessment (QAERA) in transport. The approach is described as a model developed for the future software tool which will be utilizable as a risk decision support system. The basic part is aimed on developing a quantitative environmental risk assessment. Thus, this paper describes a set of 6 pillars of safety and security. Accordingly, the paper contains both chosen safety and security indicators and selected criteria for assessing the risk of launching the environmental change of global model thinking in the transport sector. The environmental risk assessment as a global model of thinking was originally based on historical experience but, nowadays, it is changing. Based on new expert knowledge, more precisely, on input of new global data, paper displays an environmental risk assessment with actual interpretation. The discussion of the paper is oriented to support research results, a new knowledge-oriented approach to global climate changes, using suitable risk assessment methods and technics. The result of the paper is a new approach for the modeling of environmental risk assessment in the transport sector.

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A 2500-year climate and environmental record inferred from subfossil chironomids from Lugu Lake, southwestern China

Cited by 22 publications

References 72 publications

Cell Cycle Regulation in the Plant Response to Stress

Cell Cycle Regulation in the Plant Response to Stress

Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer

Qualitative Approach to Environmental Risk Assessment in Transport

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