4.6 Article

Diet Diversity Is Associated with Beta but not Alpha Diversity of Pika Gut Microbiota

Journal

FRONTIERS IN MICROBIOLOGY
Volume 7, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2016.01169

Keywords

diet; gut microbiota; plateau pikas; alpha diversity; beta diversity

Categories

Funding

  1. National Natural Science Foundation of China [41371268, 41450110074, 41301272]
  2. Direct For Education and Human Resources
  3. Division Of Research On Learning [1319293] Funding Source: National Science Foundation

Ask authors/readers for more resources

Wild mammals often consume different food sources as they become geographical available. This change in diet composition is likely to influence the gut microbial community, yet it remains unclear what the relationship looks like-particularly in small herbivores-under natural conditions. We used DNA sequencing approaches to characterize the diet composition and gut microbial community of wild plateau pikas (Ochotona curzoniae) collected from three altitudes. We tested if diet and gut microbiota composition changes across altitudes, and the relationship between diet diversity and gut microbiota diversity. Our results showed that altitude significantly influences the composition of diet and gut microbial communities. Notably, the alpha diversity (Shannon diversity and observed OTUs) of individual diet was not significantly correlated with that of gut microbiota, whereas the beta diversity (Jaccard and Bray-Curtis dissimilarity) of diet was positively correlated with that of gut microbiota. Our study is the first time to highlight the relationship between diet and gut microbiota composition in wild pikas on the Qinghai-Tibet Plateau. It suggests that the species richness within individual gut microbiota does not linearly increase with diet diversity, whereas those individuals that are more similar in diet composition harbor more similar gut microbiota.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Organic

Multiset and Mixed Metric Dimension for Starphene and Zigzag-Edge Coronoid

Jia-Bao Liu, Sunny Kumar Sharma, Vijay Kumar Bhat, Hassan Raza

Summary: This paper investigates two chemical structures and computes their multiset dimension and mixed metric dimension. The mixed metric dimension refers to the cardinality of the minimum set of elements that can distinguish different elements in chemical structures through recognition.

POLYCYCLIC AROMATIC COMPOUNDS (2023)

Article Chemistry, Organic

On Topological Properties of Planar Octahedron Networks

Jia-Bao Liu, Haidar Ali, Muhammad Kashif Shafiq, Ghulam Dustigeer, Parvez Ali

Summary: The research focuses on the applications of topological indices in analyzing the bio-compatibility of chemical compounds in the context of QSAR and QSPR correlations. By combining Chemistry and Graph theory, Chemical graph theory deals with topology and plays a significant role in the development of topological indices. The article specifically explores the use of degree based topological indices in Octahedron networks.

POLYCYCLIC AROMATIC COMPOUNDS (2023)

Article Chemistry, Organic

On counting polynomials of certain classes of polycyclic aromatic hydrocarbons

M. Arulperumjothi, S. Prabhu, Jia-Bao Liu, P. Yakkana Rajasankar, V Gayathri

Summary: Polya was the first to introduce the concept of counting polynomials in chemistry. Although the characteristic polynomials of graphs have been extensively studied through quantitative methods to determine the molecular orbitals of unsaturated hydrocarbons, this field has not received much attention from chemists for several decades. Polynomials can be used to calculate various important topological indices, either explicitly or implicitly, including the related Theta, Omega, PI, and Sadhana polynomials. These polynomials play a significant role in computing the corresponding topological indices by considering the equidistant and non-equidistant edges of structural graphs. Topological indices are numerical values associated with networks that are used to predict chemical, physical, and biological activities. This article investigates the application of these polynomials in three classes of polycyclic aromatic hydrocarbons, including hexa-peri-hexabenzocoronene, hexa-cata-hexabenzocoronene, and dodeca-benzo-circumcoronene, and proposes closed formulas for the corresponding indices.

POLYCYCLIC AROMATIC COMPOUNDS (2023)

Article Chemistry, Physical

The expected values for the Gutman index, Schultz index, and some Sombor indices of a random cyclooctane chain

Jia-Bao Liu, Jiao-Jiao Gu, Kang Wang

Summary: In this paper, the explicit analytical formulas for expected values and variances of various indices in a random cyclooctane chain are introduced. It is proven that these indices asymptotically follow a normal distribution. Additionally, unexpected findings regarding the expected values of Sombor index and its variations in the cyclooctane chain are reported.

INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY (2023)

Article Chemistry, Organic

Molecular Descriptors of Porphyrin-based Dendrimer

Jia-Bao Liu, D. Antony Xavier, Eddith Sarah Varghese, Annmaria Baby, Deepa Mathew

Summary: Molecular descriptors are numerical quantities that provide information and characteristics of chemical structures. Dendrimers are hyperbranched macromolecules with a constraint size that plays a major role in medicine, especially nanomedicine. This paper derives distance-based topological indices for porphyrin dendrimer and provides a graphical comparison of the indices.

POLYCYCLIC AROMATIC COMPOUNDS (2023)

Article Chemistry, Multidisciplinary

m6A Reader YTHDF1-Targeting Engineered Small Extracellular Vesicles for Gastric Cancer Therapy via Epigenetic and Immune Regulation

Qing You, Fang Wang, Rong Du, Jingnan Pi, Huayi Wang, Yue Huo, Jingyi Liu, Chen Wang, Jia Yu, Yanlian Yang, Ling Zhu

Summary: Engineered small extracellular vesicles (sEVs) with high CD47 expression and cyclic arginine-glycine-aspartic (c(RGDyC)) modification are developed to deliver short interfering RNA against m(6)A reader YTH N6-methyladenosine RNA binding protein 1 (YTHDF1) for gastric cancer treatment. This nanosystem efficiently depletes YTHDF1 expression, suppresses cancer progression and metastasis, and enhances immune responses. The CD47 expression on the sEVs enhances phagocytosis of tumor cells by tumor-associated macrophages.

ADVANCED MATERIALS (2023)

Article Mathematics, Interdisciplinary Applications

SINGLE-VALUED NEUTROSOPHIC SET WITH QUATERNION INFORMATION: A PROMISING APPROACH TO ASSESS IMAGE QUALITY

Jia-bao Liu, N. A. D. E. E. M. Salamat, M. U. H. A. M. M. A. D. Kamran, S. H. A. H. Z. A. I. B. Ashraf, Riaz hussain Khan

Summary: Diminished estimate techniques focus on image quality assessment by using partially retrieved features from the reference image. The goal is to create an objective evaluation method that can adapt to new visual distortions. This study proposes a rapid approach for quality assessment of color photographs by modifying the structural similarity index measure (SSIM) in a neutrosophic environment. The use of Single-Valued Neutrosophic Sets (SVNSs) and the construction of neutrosophic divergence show a correlation with SSIM and provide accurate information on image convergence and divergence. Additionally, a trustworthy Image Quality Assessment based on generalized exponential fuzzy entropy is proposed.

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY (2023)

Article Engineering, Electrical & Electronic

On Computation and Analysis of Entropy Measures for Metal-Insulator Transition Super Lattice

Xuemei Zhao, Muhammad Kamran Siddiqui, Shazia Manzoor, Sarfraz Ahmad, Mehwish Hussain Muhammad, Jia-Bao Liu

Summary: Mathematical chemistry plays a crucial role in investigating the metal-insulator transition Superlattice (GST-SL) in 3D electrons with strong correlations due to quantum confinement. The development of epitaxial GST-SL thin films with heterogeneous opening design is of great interest for their wide applications. Thin-film deposition and the construction of well-arranged alloy accumulates are essential for phase transformation applications in non-volatile memory. The softening and crystalline elements of the multi-component GST composite have been explored. This paper focuses on determining topological properties, such as degree-based topological descriptors and their entropy measures, and analyzes the entropy and heat of formation of single crystals, monolayers, and various layers of Ge-Sb-Te.

IETE JOURNAL OF RESEARCH (2023)

Article Biochemistry & Molecular Biology

Cordyceps militaris acidic polysaccharides improve learning and memory impairment in mice with exercise fatigue through the PI3K/NRF2/HO-1 signalling pathway

Lidan Bai, Chaojie Tan, Jing Ren, Jingyi Liu, Wenqi Zou, Guangchen Liu, Yu Sheng

Summary: Excessive exercise causes body fatigue and disrupts the oxidation/oxidation resistance system, leading to damage to the central nervous system and decreased learning and memory. The transcription factor Nrf2 plays a crucial role in regulating oxidative stress response in cells. Therefore, the development of natural antioxidants that can regulate Nrf2-related signaling pathways and improve central fatigue caused by body fatigue is of great application value.

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2023)

Article Chemistry, Physical

Kirchhoff index and complexity of linear Mobius and cylinder octagonal-quadrilateral networks with respect to Laplacians

Lu-Lu Fang, Jia-Bao Liu, Qian Zheng, Xin-Bei Peng

Summary: This paper introduces two different graphs in the linear octagonal-quadrilateral network, which identify opposite edges in different ways. It also provides explicit formulas for the Kirchhoff index and complexity of these graphs. The calculations show that the Kirchhoff index of these graphs is approximately a fraction of their Wiener index as n approaches infinity.

INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY (2023)

Article Soil Science

Litter chemistry of common European tree species drives the feeding preference and consumption rate of soil invertebrates, and shapes the diversity and structure of gut and faecal microbiomes

Petr Hedenec, Haifeng Zheng, David Pessanha Siqueira, Yan Peng, Inger Kappel Schmidt, Tobias Guldberg Froslev, Rasmus Kjoller, Huan Li, Jan Frouz, Lars Vesterdal

Summary: Terrestrial isopods and millipedes have different feeding preferences and litter consumption rates based on the chemical composition of the litter. The microbial communities in their gut and feces are also influenced by litter chemistry. Litter quality plays a strong role in shaping the feeding preferences, consumption rates, and bacterial and fungal community compositions in these litter-feeding soil fauna in European forests.

SOIL BIOLOGY & BIOCHEMISTRY (2023)

Article Chemistry, Multidisciplinary

Quantitative Regulation of Interlayer Space of NH4V4O10 for Fast and Durable Zn2+ and NH4+ Storage

Shuyue Li, Dongxu Yu, Jingyi Liu, Nan Chen, Zexiang Shen, Gang Chen, Shiyu Yao, Fei Du

Summary: An in situ electrochemical strategy is proposed to regulate the interlayer distance of layered NH4V4O10, revealing a close relationship between optimal performances and interlayer space.

ADVANCED SCIENCE (2023)

Article Computer Science, Interdisciplinary Applications

Analyzing the spatial association of household consumption carbon emission structure based on social network

Jia-Bao Liu, Xin-Bei Peng, Jing Zhao

Summary: In recent years, the energy consumption and carbon emissions from household consumption in China have been increasing rapidly. To evaluate the progress of building a low-carbon society, the information entropy of direct household consumption-induced carbon emissions structure (IDHCES) from 2005 to 2019 is calculated, and a spatial association network is constructed. The network analysis reveals that the IDHCES is not solely determined by geographical proximity, and the core provinces in the eastern region play a significant role. Factors such as per capita GDP differences, energy consumption per unit of GDP, family size, and government investment in science and technology contribute to the formation of the spatial association network, while differences in geographical distance, population density, and Engel coefficient act as barriers. Based on these findings, suggestions are proposed to optimize the IDHCES.

JOURNAL OF COMBINATORIAL OPTIMIZATION (2023)

Article Mathematics, Applied

The statistical analysis for Sombor indices in a random polygonal chain networks

Jia-Bao Liu, Ya-Qian Zheng, Xin-Bei Peng

Summary: This paper aims to establish the distribution of Sombor indices in random polygonal chain networks and derive expressions for their expected values and variances. The expected values and variances of the Sombor indices for different types of chains are obtained. As the number of polygons connected by the chain approaches infinity, the Sombor indices of any chain network follow a normal distribution due to the end connection of a random chain network following a binomial distribution.

DISCRETE APPLIED MATHEMATICS (2023)

Editorial Material Computer Science, Artificial Intelligence

Overview of the Special Issue on Deep Neural Networks and Optimization Algorithms

Jia-Bao Liu, Muhammad Faisal Nadeem, Yilun Shang

ALGORITHMS (2023)

No Data Available