20 research outputs found
On the normality of -ary bent functions
Depending on the parity of and the regularity of a bent function from
to , can be affine on a subspace of dimension
at most , or . We point out that many -ary bent
functions take on this bound, and it seems not easy to find examples for which
one can show a different behaviour. This resembles the situation for Boolean
bent functions of which many are (weakly) -normal, i.e. affine on a
-dimensional subspace. However applying an algorithm by Canteaut et.al.,
some Boolean bent functions were shown to be not - normal. We develop an
algorithm for testing normality for functions from to . Applying the algorithm, for some bent functions in small dimension we
show that they do not take on the bound on normality. Applying direct sum of
functions this yields bent functions with this property in infinitely many
dimensions.Comment: 13 page
Secondary constructions of vectorial -ary weakly regular bent functions
In \cite{Bapic, Tang, Zheng} a new method for the secondary construction of
vectorial/Boolean bent functions via the so-called property was
introduced. In 2018, Qi et al. generalized the methods in \cite{Tang} for the
construction of -ary weakly regular bent functions. The objective of this
paper is to further generalize these constructions, following the ideas in
\cite{Bapic, Zheng}, for secondary constructions of vectorial -ary weakly
regular bent and plateaued functions. We also present some infinite families of
such functions via the -ary Maiorana-McFarland class. Additionally, we give
another characterization of the property for the -ary case via
second-order derivatives, as it was done for the Boolean case in \cite{Zheng}
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Physical Models for the Early Evolution of Cell Membranes
Cells use lipid membranes to organize and define their chemical environments. All cell membranes are based on a common structure: bilayers composed of phospholipids with two hydrocarbon chains. How did biology converge on this particular solution for cellular encapsulation? The first cell membranes are proposed to have assembled from simple, single-chain lipids, such as fatty acids and their derivatives, which would have been available in the prebiotic environment. Here we argue that the physical properties of fatty acid membranes would have made them well suited for a role as primitive cell membranes and predisposed their evolution to modern, phospholipid-based membranes. We first considered models for primitive membrane self-assembly, which faces significant concentration barriers due to the entropic cost of aggregation and the solubility of single-chain lipids. We therefore identified two physical mechanisms by which fatty acid membrane assembly can proceed from dilute solutions. Thermal diffusion columns, a proposed prebiotic concentration method, drive the formation of fatty acid vesicles by concentrating an initially isotropic solution past the critical concentration necessary for aggregation. Alternatively, mixtures of fatty acids with varying chain lengths, the expected products of abiotic lipid synthesis, intrinsically reduce the concentration barrier to aggregation through their polydispersity. These results motivated us to better understand the phase behavior of fatty acids in solutions. We found that the composition of fatty acid aggregates, whether vesicles or micelles, is also determined by concentration. Fatty acid vesicles feature significant amounts of coexisting micelles, whose abundance is enriched in low concentration solutions. We utilized this micelle-vesicle equilibrium to drive the growth of pre-existing fatty acid vesicles by changing amphiphile concentration. We next considered the evolution of phospholipid membranes, which was a critical and necessary step for the early evolution of cells. We found that the incorporation of even small amounts of phospholipids drives the growth of fatty acid vesicles by competition for monomers with neighboring vesicles lacking phospholipids. This competitive growth would have provided a strong selective advantage for primitive cells to evolve the catalytic machinery needed to synthesize phospholipids from their single-chain precursors. Growth is caused by any relative difference in phospholipid content, suggesting an evolutionary arms race among primitive cells for increasingly phospholipid membranes. What would have been the consequences for early cells of such a transition in membrane composition? We found that increasing phospholipid content inhibits the permeability of fatty acid membranes through changes in bilayer fluidity. For early heterotrophic cells, the emergence of increasingly phospholipid membranes would have therefore imposed new selective pressures for the evolution of membrane transport machinery and metabolism. Our model for early membrane evolution led us to develop prebiotic models for phospholipid chemistry. The assembly of phospholipids from single-chain substrates requires a single reaction: the acyltransfer of an activated fatty acid onto a glycerol monoester or lysophospholipid. We developed a synthetic model for this reaction that incorporates a copper-catalyzed azide-alkyne cycloaddition and showed that it drives de novo vesicle assembly
Microstructure and Corrosion Behavior of Advanced Alloys
In many industrial applications, metallic materials are exposed to harsh operating conditions. Due to a combination of chemical and thermal stresses, the constructional and functional materials are degraded, and their utility properties are lost. These undesirable events are of a physicochemical nature and are commonly known as โcorrosionโ. In this Special Issue Book, 3 reviews and 18 original research papers focused on the complex relationships between the microstructure, phase constitution, and corrosion behavior of metallic materials are collected. Both high temperature and low temperature corrosion studies are included as they investigate the physicochemical processes at the material interfaces. Furthermore, possibilities for increasing the corrosion resistance of metallic materials are studied by means of surface modification and application of protective layers. This Special Issue Book, Microstructure and Corrosion Behavior of Advanced Alloys, displays the diversity and complexity of modern corrosion research. It is hoped that it will become a valuable source of reference for corrosion scientists
๋นํ ํํด์ ๋ฐ๋ฅธ ๊ทน์ง์ญ ํ ์ ๋ฏธ์๋ฌผ์ ๊ตฐ์ง ๊ตฌ์กฐ์ ์ ์ฌ์ ๊ธฐ๋ฅ์ ์ฒ์ด ๋ณํ
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ์์ฐ๊ณผํ๋ํ ์๋ช
๊ณผํ๋ถ, 2022. 8. ์ด์์ฃผ.Glacier forelands have long fascinated ecologists and soil scientists by providing ideal places to study the patterns and processes of ecological succession. Previous studies on ecological succession in glacier forelands have focused mainly on the vegetation development or pedogenesis, but relatively less attention has been paid to microbial succession, especially in polar regions such as the High Arctic and Antarctica. In addition, former studies on microbial succession have typically focused on a single taxonomic group and often lack the examination on chemical turnover of organic substrates corresponding to biological turnover, resulting in a limited understanding of microbial succession in glacier forelands.
In order to get a comprehensive understanding of microbial succession in glacier forelands of polar regions, this thesis aimed to investigate the successional changes of microbial communities in both the biological aspects (e.g., taxonomic compositions, functional profiles, and interactions between microbial groups) and the chemical aspects (e.g., diversity and compositional changes of dissolved organic matters). To acquire the knowledge on microbial community succession at the very early successional stages prior to plant colonization, the successional dynamics and assembly processes of bacterial and fungal communities were compared along a soil age gradient of 10 years on the Fourcade glacier foreland. Bacterial and fungal communities in recently deglaciated soils are largely decoupled from each other during succession and exert very divergent trajectories of succession and assembly under different selective forces. In addition to the study on successional patterns of microbial communities in unvegetated glacier forelands, the compositional changes of four different microbial communities (bacteria, fungi, protists, and archaea) and their interactions were investigated to gain a holistic view of microbial succession on a glacier foreland of the High Arctic along the 100 years of deglaciation. Overall, microbial community structures changed in a directional manner and environmental properties played a key role in the compositional changes following deglaciation. A higher proportion of the interactions between microbial groups in late than early soil-age gradients suggested that bacterial, fungal, and protistan communities less independently respond to glacier retreat along the soil-age gradient. Microbial succession involves not only changes in other biological communities but also at the same time changes in the diversity and composition of organic molecules mediated by biological processes. The successional dynamics of soil dissolved organic matter (DOM) and its relationship with microbial communities were examined following deglaciation in the High Arctic. The succession of DOM followed a distinct pattern from the patterns of microbial communities but is strongly associated with biological soil crusts (BSCs). Also, the abundance and richness of DOM molecule showed closer relationships with potential metabolic capability and in situ activity than the taxonomic structure of microbial communities.
This thesis advanced the understanding of microbial succession in newly exposed glacier forelands of polar regions by providing the knowledge on not only successional dynamics of various microbial communities but also multitrophic interactions following soil-age gradient since deglaciation. Additionally, this study provides novel insights into interactions between organic compounds and microbial communities during succession. Consequently, these results can advance our understanding of belowground microbial succession in deglaciated terrains of polar regions.๋นํ ํํด ์ง์ญ (glacier forelands)์ ์๊ฐ์ ๋ฐ๋ฅธ ์ํํ์ ์ฒ์ด ๊ณผ์ ๋ฐ ํจํด์ ์ฐ๊ตฌํ๋๋ฐ ์ด์์ ์ธ ์ฅ์๋ฅผ ์ ๊ณตํจ์ผ๋ก์จ ์ง๋ ์ค๋ ์๊ฐ ๋์ ๋ง์ ์ํํ์์ ํ ์ํ์๋ค์ ๋งค๋ฃ์์ผ์๋ค. ๋นํ ํํด ์ง์ญ์์ ์ด๋ฃจ์ด์ง ์ํ์ ์ฒ์ด (ecological succession)์ ๋ํ ์ด์ ์ฐ๊ตฌ๋ค์ ์ฃผ๋ก ์์ ์ฒ์ด๋ ํ ์ ๋ฐ๋ฌ์ ์ด์ ์ ๋ง์ถ์์ผ๋ฉฐ ํนํ ๊ณ ์๋ ๋ถ๊ทน์ด๋ ๋จ๊ทน์์์ ๋ฏธ์๋ฌผ ์ฒ์ด (microbial succession)์ ๋ํ ์ฐ๊ตฌ๋ ๋ง์ด ์ด๋ฃจ์ด์ง์ง ์์๋ค. ๋ํ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ์ด์ ์ฐ๊ตฌ๋ค์ ์ฃผ๋ก ๋จ์ผ ๋ถ๋ฅ๊ตฐ์ ๋ํด์๋ง ์ด์ ์ ๋ง์ถ๊ณ ์์ผ๋ฉฐ ์๋ฌผํ์ ๋ณํ์ ์์ํ๋ ์ ๊ธฐ๋ฌผ์ ํํ์ ๋ณํ์ ๋ํ ์ฐ๊ตฌ๊ฐ ๋ถ์กฑํ์ฌ ์ด๋ ๋นํ ํํด ์ง์ญ์์์ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ์ดํด๊ฐ ๋ถ์กฑํด์ง๋ ๊ฒฐ๊ณผ๋ฅผ ๋ณ์๋ค. ๊ทน์ง์ญ ๋นํ ํํด ์ง์ญ์์์ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ํฌ๊ด์ ์ธ ์ดํด๋ฅผ ์ป๊ณ ์ ๋ณธ ์ฐ๊ตฌ๋ ๋ฏธ์๋ฌผ ์ฒ์ด์ ์๋ฌผํ์ ์ธก๋ฉด (์๋ฅผ ๋ค์ด, ๊ตฐ์ง์ ๊ตฌ์ฑ, ๊ธฐ๋ฅ์ ํ๋กํ์ผ, ๋ฏธ์๋ฌผ ๊ทธ๋ฃน๊ฐ์ ์ํธ์์ฉ)๊ณผ ํํ์ ์ธก๋ฉด (์๋ฅผ ๋ค์ด, ์ฉ์กด ์ ๊ธฐ๋ฌผ์ ๋ค์์ฑ ๋ฐ ๊ตฌ์ฑ์ ๋ณํ)์์ ์ฐ๊ตฌํ์๋ค.
์๋ฌผ์ด ๋ฐ๋ฌํ๊ธฐ ์ด์ ์ ๊ทน ์ด๊ธฐ ๋นํ ํํด ์ง์ญ์์์ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ์ง์์ ์ป๊ณ ์ ์ธ๊ท ๋ฐ ๊ณฐํก์ด ๊ตฐ์ง์ ์ฒ์ด์ ๋ณํ๋ฅผ ๋นํ๊ฐ ํํดํ ์ง ์ฝ 10๋
์ฌ ์ง๋ ํฌ์ผ์ด๋(Fourcade) ๋นํ ํํด ์ง์ญ์์ ์ฐ๊ตฌํ์๋ค. ๊ทธ ๊ฒฐ๊ณผ, ๊ทน ์ด๊ธฐ ๋นํ ํํด ์ง์ญ์์ ์ธ๊ท ๊ณผ ๊ณฐํก์ด ๊ตฐ์ง์ ์ฒ์ด๋ ์๋ก ๋ถ๋ฆฌ๋์ด ์งํ๋๋ฉฐ ์๋ก ๋ค๋ฅธ ์ ํ์ ์์ธ์ ์ํฅ์ผ๋ก ์๋ฐ๋ ์ฒ์ด ํจํด์ ๋ํ๋ด์๋ค. ๊ทน ์ด๊ธฐ ์ง์ญ์์์ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ์ฐ๊ตฌ์ ์ด์ด, ๋ฏธ์๋ฌผ ์ฒ์ด๋ฅผ ์ ์ฒด์ ์ธ ๊ด์ ์์ ์ดํดํ๊ณ ์ ๊ณ ์๋ ๋ถ๊ทน์ ์์นํ ์ฝ 100์ฌ๋
๊ฐ ๋นํ๊ฐ ํํดํ ์ง์ญ์์ 4๊ฐ์ ์๋ก ๋ค๋ฅธ ๋ฏธ์๋ฌผ ๊ตฐ์ง๋ค (์ธ๊ท , ์ง๊ท , ์์์๋ฌผ ๊ทธ๋ฆฌ๊ณ ๊ณ ์ธ๊ท )์ ์ฒ์ด ํจํด๊ณผ ๊ทธ๋ค์ ์๊ด๊ด๊ณ๋ฅผ ์ฐ๊ตฌํ์๋ค. ์ข
ํฉ์ ์ผ๋ก, ์ฌ๋ฌ ๋ฏธ์๋ฌผ ๊ตฐ์ง์ ๊ตฌ์กฐ๋ ๋นํ ํํด ์ดํ ์๊ฐ์ ๋ฐ๋ผ ๋ฐฉํฅ์ ์ผ๋ก ๋ณํํ์์ผ๋ฉฐ ์ด์ ํ๊ฒฝ ์์ธ๋ค์ด ํฐ ์ํฅ์ ์ฃผ์๋ค. ๊ทธ๋ฆฌ๊ณ ๋ฏธ์๋ฌผ ๊ทธ๋ฃน๋ค ๊ฐ์ ์๊ด๊ด๊ณ๋ ์ด๊ธฐ๋ณด๋ค ํ๊ธฐ์์ ๊ทธ ๋น์ค์ด ๋์๋๋ฐ ์ด๋ ์ธ๊ท , ์ง๊ท , ์์์๋ฌผ์ ๊ตฐ์ง์ด ์ ์ฐจ ๋ ๋
๋ฆฝ์ ์ผ๋ก (๋ณด๋ค ์ํธ์์ฉํ๋ฉฐ) ๋นํ ํํด์ ๋ฐ์ํ๋ค๋ ๊ฒ์ ์์ฌํ๋ค. ๋ฏธ์๋ฌผ ์ฒ์ด๋ ๋ค๋ฅธ ์๋ฌผํ์ ๊ตฐ์ง์ ์ฒ์ด ๋ฟ๋ง ์๋๋ผ ๋์์ ์๋ฌผํ์ ๊ณผ์ ๊ณผ ๊ด๋ จ๋ ์ ๊ธฐ๋ฌผ์ ๋ค์์ฑ ๋ฐ ๊ตฌ์ฑ์ ๋ณํ๋ฅผ ํจ๊ป ๋๋ฐํ๊ธฐ์, ํ ์์ ์ฉ์กด ์ ๊ธฐ๋ฌผ์ ์ฒ์ด ๋ณํ ๋ฐ ๋ฏธ์๋ฌผ ๊ตฐ์ง๊ฐ์ ๊ด๊ณ์ ๋ํด ์ฐ๊ตฌ๋ฅผ ๊ณ ์๋ ๋ถ๊ทน์ ๋นํ ํํด ์ง์ญ์์ ์งํํ์๋ค. ํ ์์ ์ฉ์กด ์ ๊ธฐ๋ฌผ์ ๋ณํ ํจํด์ ๋ฏธ์๋ฌผ์ ์ฒ์ด์ ๋ค๋ฅธ ํจํด์ ๋ํ๋ด์์ผ๋ biological soil crusts (BSCs)์ ๋ฐ๋ฌ๊ณผ ๊ฐํ ์๊ด๊ด๊ณ๊ฐ ์์๋ค. ๊ทธ๋ฆฌ๊ณ ์ฉ์กด ์ ๊ธฐ๋ฌผ์ ์๊ณผ ๋ค์์ฑ์ ๋ฏธ์๋ฌผ ๊ตฐ์ง์ ๋ถ๋ฅํ์ ๊ตฌ์กฐ๋ณด๋ค ๋ฏธ์๋ฌผ์ ์ ์ฌ์ ๋์ฌ๋ฅ (potential metabolic capability) ๋ฐ ์ค์ ๋ฌผ์ง ๋์ฌ ๋ฅ๋ ฅ (in situ activity)๊ณผ ๋ณด๋ค ๋ฐ์ ํ ๊ด๊ณ๋ฅผ ๋ํ๋ด์๋ค.
๋ณธ ์ฐ๊ตฌ๋ ๋นํ ํํด์ ๋ฐ๋ฅธ ๋ค์ํ ๋ฏธ์๋ฌผ ๊ตฐ์ง๋ค์ ์ฒ์ด ํจํด ๋ฐ ์ด๋ค์ ์๊ด๊ด๊ณ ๋ณํ์ ๋ํ ์ง์์ ์ ๊ณตํจ์ผ๋ก์จ ๋นํ ํํด ์ง์ญ์ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ์ดํด๋ฅผ ์ฆ์ง์์ผฐ๋ค. ๋ํ, ์ฒ์ด๊ฐ ์งํ๋๋ ๋์ ํ ์ ์ ๊ธฐ๋ฌผ๊ณผ ๋ฏธ์๋ฌผ ๊ตฐ์ง ๊ฐ์ ์ํธ์์ฉ์ ๋ํ ์๋ก์ด ๊ด์ ์ ์ ๊ณตํ์๋ค. ์ข
ํฉ์ ์ผ๋ก, ๋ณธ ์ฐ๊ตฌ๋ฅผ ํตํด ๊ทน์ง์ญ ๋นํ ํํด ์ง์ญ ํ ์ ๋ฐ์ ๋ฏธ์๋ฌผ ์ฒ์ด์ ๋ํ ์ดํด๋ฅผ ํฅ์์ํฌ ์ ์์๋ค.Chapter 1. General Introduction 1
1.1. Ecological succession in glacier forelands 1
1.2. Microbial succession in glacier forelands 3
1.3. Objectives of this study 6
Chapter 2. Early-stage successional dynamics of bacterial and fungal communities in a recently deglaciated terrain of the maritime Antarctica 10
2.1. Introduction 11
2.2. Materials and Methods 14
2.2.1. Site description and sampling strategy 14
2.2.2. Soil physicochemical analysis and meteorological data 16
2.2.3. Abundances of bacteria and fungi 17
2.2.4. DNA extraction, amplicon sequencing, and community analysis 20
2.2.5. Bioinformatics analysis 21
2.2.6. Statistical analyses 22
2.2.7. Null model analysis 26
2.2.8. Co-occurrence network analysis 27
2.3. Results 27
2.3.1. Soil geochemistry and microbial abundance 27
2.3.2. Microbial taxa 32
2.3.3. Microbial alpha- and beta-diversity 37
2.3.4. Key drivers of microbial beta-diversity 46
2.3.5. Biotic interactions within- and between-taxonomic groups 47
2.4. Discussion 52
Chapter 3. Successional dynamics of microbial communities along a 100-year deglaciation gradient in the High Arctic 60
3.1. Introduction 61
3.2. Materials and Methods 63
3.2.1. Site description and sampling strategy 63
3.2.2. Soil physicochemical analysis 66
3.2.3. Phospholipid fatty acid (PLFA) analysis 67
3.2.4. RNA/DNA isolation, cDNA synthesis, amplicon sequencing, and community analysis 68
3.2.5. Shotgun metagenomic sequencing 69
3.2.6. Annotation of microbial functional groups 70
3.2.7. Statistical analyses 71
3.2.8. Network analysis 72
3.3. Results 73
3.3.1. Soil physicochemical properties and microbial biomass 73
3.3.2. Taxonomic composition of RNA-based and DNA -based microbial communities 77
3.3.3. Changing trends of microbial taxa in RNA- and DNA-based microbial communities 80
3.3.4. Changes in putative functional profiles and functional potential along the chronosequence 86
3.3.5. Microbial alpha- and beta-diversity 91
3.3.6. Key drivers of microbial beta-diversity 97
3.3.7. Biotic interactions within- and between-taxonomic groups 101
3.4. Discussion 105
Chapter 4. Chemical succession of dissolved organic matter (DOM) molecules and its relation to microbial communities in a deglaciated foreland of the High Arctic 108
4.1. Introduction 109
4.2. Materials and Methods 116
4.2.1. Study site, soil sampling, soil physicochemical properties, and NDVI 116
4.2.2. Preparation of soil organic matter 116
4.2.3. FT-ICR MS analysis 117
4.2.4. Data processing and elemental composition assignments 117
4.2.5. Dissolved organic matter (DOM) chemodiversity and multivariate analysis 118
4.2.6. Chlorophyll a extraction 119
4.2.7. Long-read amplicon sequencing using LoopSeq 119
4.2.8. Statistical analyses 121
4.2.9. Network analysis 122
4.2.10. Community-level physiological profiles 123
4.3. Results 124
4.3.1. General characteristics of DOM compounds in the foreland of Midtre Lovรฉnbreen 121
4.3.2. Changes in DOM characteristics along the gradient of time since deglaciation 121
4.3.3. Underlying mechanisms and primary drivers of DOM compositional changes 134
4.3.4. Network associations between N-containing DOM compounds and microbial OTUs 141
4.4. Discussion 151
Chapter 5. Conclusion 158
References 161
Appendix 179
Abstract in Korean(๊ตญ๋ฌธ์ด๋ก) 229๋ฐ