Results 121 to 130 of about 6,848,180 (327)

A GLUTAMATE CYSTEINE LIGASE Gene StGSH1 Regulated by StERF10 Enhanced Glutathione Accumulation and Adaptation to Low Phosphorus Stress in Potato

open access: yesAdvanced Science, EarlyView.
The StERF10‐StGSH1 module coordinates glutathione (GSH) biosynthesis under low‐phosphorus stress. The low‐phosphate‐induced AP2/ERF transcription factor StERF10 directly activates the transcription of StGSH1 and enhances GSH accumulation. Consequently, GSH scavenges reactive oxygen species and provides sulfur for sulfolipid synthesis, facilitating the ...
Xiaocheng Tian   +9 more
wiley   +1 more source

Evolutionary and Phylogenetic Dynamics of SARS-CoV-2 Variants: A Genetic Comparative Study of Taiyuan and Wuhan Cities of China

open access: yesViruses
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a positive-sense, single-stranded RNA genome-containing virus which has infected millions of people all over the world. The virus has been mutating rapidly enough, resulting in the emergence
Behzad Hussain, Changxin Wu
doaj   +1 more source

Networks in a large-scale phylogenetic analysis: reconstructing evolutionary history of Asparagales (Lilianae) based on four plastid genes. [PDF]

open access: yesPLoS ONE, 2013
Phylogenetic analysis aims to produce a bifurcating tree, which disregards conflicting signals and displays only those that are present in a large proportion of the data.
Shichao Chen   +3 more
doaj   +1 more source

Counting General Phylogenetic networks

open access: yes, 2020
We provide precise asymptotic estimates for the number of general phylogenetic networks by using analytic combinatorial methods. Recently, this approach is studied by Fuchs, Gittenberger, and the author himself (Australasian Journal of Combinatorics 73(2):385-423, 2019), to count networks with few reticulation vertices for two subclasses: tree-child ...
openaire   +3 more sources

Phylogenetic convolutional neural networks in metagenomics [PDF]

open access: yesBMC Bioinformatics, 2018
Presented at BMTL 2017 ...
Fioravanti, Diego   +6 more
openaire   +7 more sources

Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes

open access: yesAdvanced Science, EarlyView.
Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji   +12 more
wiley   +1 more source

Global Network Alignment [PDF]

open access: yes, 2010
Motivation: High-throughput methods for detecting molecular interactions have lead to a plethora of biological network data with much more yet to come, stimulating the development of techniques for biological network alignment.
Natasa Przulj, Oleksii Kuchaiev
core   +1 more source

Cinnamic‐Hydroxamic‐Acid Derivatives Exhibit Antibiotic, Anti‐Biofilm, and Supercoiling Relaxation Properties by Targeting Bacterial Nucleoid‐Associated Protein HU

open access: yesAdvanced Science, EarlyView.
Cinnamic‐hydroxamic‐acid derivatives (CHADs) are identified as novel inhibitors of the bacterial nucleoid‐associated protein HU, exhibiting potent antibacterial, anti‐biofilm (both inhibition and eradication), and DNA relaxation (anti‐supercoiling) activities. Moreover, CHADs demonstrate strong synergistic effects with multiple antibiotics.
Huan Chen   +22 more
wiley   +1 more source

PhyloGFN: Phylogenetic inference with generative flow networks [PDF]

open access: green, 2023
Mingyang Zhou   +7 more
openalex   +1 more source

Phylogenetic Super-networks from Partial Trees [PDF]

open access: yesIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2004
In practice, one is often faced with incomplete phylogenetic data, such as a collection of partial trees or partial splits. This paper poses the problem of inferring a phylogenetic super-network from such data and provides an efficient algorithm for doing so, called the Z-closure method.
Huson, D.H.   +3 more
openaire   +2 more sources

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