Biology subjects

Meng, X.

Publications and source records attributed to Meng, X..

6 recordsLinked to original sources

bioRxiv2018

Over-expression of the photoperiod response regulator ZmCCT10 modifies plant architecture, flowering time and inflorescence morphology in maize

Maize originated as a tropical plant that required short days to transition from vegetative to reproductive development. ZmCCT10 [CO, CONSTANS, CO-LIKE and TIMING OF CAB1 (CCT) transcription factor family] is a photoperiod regulator and was identified as a major QTL controlling photoperiod sensitivity in maize. We modulated expression of ZmCCT10 in transgenic maize using two constitutive promoters which cause differing expression levels. Transgenic plants over expressing ZmCCT10 with either promoter was delayed in their transition from vegetative to reproductive development but were not affected in their change from juvenile-to-adult vegetative growth. Strikingly, transgenic plants containing the stronger expressing construct had a very prolonged period of vegetative growth accompanied with dramatic modifications to plant architecture that impacted both vegetative and reproductive traits. These plants did not produced ears, but tassels were heavily branched, and more than half of the transgenic plants showed conversion of shoot apices into \"bushy tops\", which were composed of vegetative reversion plantlets. Analysis of expression modules controlling the floral transition and meristem identity linked these networks to photoperiod dependent regulation, whereas phase change modules appeared to be photoperiod independent. Results from this study clarified the influence of the photoperiod pathway on vegetative and reproductive development and allowed to fine-tune the flowering time model for maize.

developmental biology↗

bioRxiv2018

Trio deep-sequencing does not reveal unexpected mutations in Cas9-edited monkeys

CRISPR-Cas9 is a widely-used genome editing tool, but its off-target effect remains a concern, especially in view of future clinical applications. Non-human primates (NHPs) share close genetic and physiological similarities with humans, making them an ideal preclinical model for developing Cas9-based therapies. However, no comprehensive in vivo off-target assessment has been conducted in NHPs. Here we performed whole genome trio sequencing of Cas9-treated monkeys. We found they only carried a small number of de novo mutations that can be explained by expected spontaneous mutations, and no unexpected mutations were detected.

bioengineering↗

bioRxiv2018

Inhibition of EV71 replication by L3HYPDH, a newly identified interferon-stimulated gene product

Enterovirus 71 (EV71) is the common causative agent of hand-foot-mouth disease (HFMD). Despite evidence in mice model suggested that the interferon (IFN) signaling pathways play a role in defending against this virus, knowledge on the IFN-mediated antiviral response is still limited. Here we identified an IFN-stimulated gene (ISG) called L3HYPHD, whose expression inhibits EV71 replication. Mapping assay indicated that amino acids 61-120 and 295-354 are critical for its optimal antiviral activity. Mechanismly, L3HYPDH specifically inhibits protein translation mediated by EV71 internal ribosome entry site (IRES). Our data thus uncovered a new mechanism utilized by the host cell to restrict EV71 replication.

microbiology↗

bioRxiv2018

SpaRC: Scalable Sequence Clustering using Apache Spark

Whole genome shotgun based next generation transcriptomics and metagenomics studies often generate 100 to 1000 gigabytes (GB) sequence data derived from tens of thousands of different genes or microbial species. De novo assembling these data requires an ideal solution that both scales with data size and optimizes for individual gene or genomes. Here we developed a Apache Spark-based scalable sequence clustering application, SparkReadClust (SpaRC), that partitions the reads based on their molecule of origin to enable downstream assembly optimization. SpaRC produces high clustering performance on transcriptomics and metagenomics test datasets from both short read and long read sequencing technologies. It achieved a near linear scalability with respect to input data size and number of compute nodes. SpaRC can run on different cloud computing environments without modifications while delivering similar performance. In summary, our results suggest SpaRC provides a scalable solution for clustering billions of reads from the next-generation sequencing experiments, and Apache Spark represents a cost-effective solution with rapid development/deployment cycles for similar large scale sequence data analysis problems. The software is available under the Apache 2.0 license at https://bitbucket.org/LizhenShi/sparc.

bioinformatics↗

bioRxiv2017

Effect of vertical slit turbulence on metabolism and swimming behavior of juvenile grass carp (ctenopharyngodon idella)

Baffles were incorporated into the swim chamber of a flume-type swimming respirometer, and the effect of vertical slit turbulence on the swimming behavior and metabolism of juvenile grass carp were investigated. Results showed a significant lower TBF in turbulent flow than in laminar flow (p< 0.05). However, differences in TBF at different inlet velocities were not significant (p> 0.05), whether the fish passed through the baffles or not. In turbulent flow, the residence time ratios of test fish at different flow zone were low water velocity > medium velocity > high velocity. Oxygen consumption rate (MO2) increased with flow velocity and was higher in turbulent flow than in laminar flow. Further, the speed exponent c, in turbulent flow, was significantly higher than in laminar flow, indicated a decrease swimming efficiency. This study of fish swimming in turbulent flow extends knowledge of fish ecology and provides data for guiding the design of hydrokinetic turbulent where needed, so preventing ecological impacts.

animal behavior and cognition↗

bioRxiv2017

Gut Microbiota Composition Related With Clostridium difficile-Positive Diarrhea And C. Difficile Type (A+B+, A-B+, And A-B-) In ICU Hospitalized Patients

BackgroundGut microbiota composition of intensive care unit (ICU) patients suffering from Clostridium difficile-positive diarrhea (CDpD) is still poorly understood. This study aims to use 16S rDNA (and metagenome) sequencing to compare the microbiota composition of 58 (and 5) ICU patients with CDpD (CDpD group), 33 (and 4) ICU patients with C. difficile negative diarrhea (CDnD group), and 21 (and 5) healthy control subjects (control group), as well as CDpD patients in A+B+ (N=34; A/B: C. difficile TcdA/B), A-B+ (N=7), and A-B- (N=17) subgroups. For 16S rDNA data, OTU clustering (tool: UPARSE), taxonomic assignment (tool: RDP classifier), -diversity and {beta}-diversity analyses (tool: QIIME) were conducted. For metagenome data, metagenome assembly (tool: SOAP), gene calling (tools: MetaGeneMark, CD-HIT, and SoapAligner), unigene alignment (tool: DIAMOND), taxon difference analysis (tool: Metastats), and gene annotation (tool: DIAMOND) were performed.\n\nResultsThe microbial diversity of CDpD group was lower than that of CDnD and control groups. The abundances of 10 taxa (e.g. Deferribacteres, Cryptomycota, Acetothermia) in CDpD group were significantly higher than that in CDnD group. The abundances of Saccharomycetes and Clostridia were significantly lower in CDpD in comparison with control. A+B+, A-B+ and A-B- subgroups couldnt be separated in principal component analysis, while some taxa are significantly different between A+B+ and A-B- subgroups.\n\nConclusionCDpD might relate to the decrease of beneficial taxa (i.e. Saccharomycetes and Clostridia) and the increase of harmful taxa (e.g. Deferribacteres, Cryptomycota, Acetothermia) in gut microbiota in ICU patients. C. difficile type might be slightly associated with gut microbiota composition.

molecular biology↗