Trichoderma virens XZ11-1 producing siderophores inhibits the infection of Fusarium oxysporum and promotes plant growth in banana plants.

Background: Banana Fusarium wilt caused by Fusarium oxysporum f. sp. cubense is a soil-borne fungal disease.

Enhanced piezoelectric sensor to distinguish real-time arrhythmia for predicting heart failure.

Monitoring cardiac rhythm is crucial for diagnosis of heart failure. However, the deficient sensitivity of polyvinylidene fluoride (PVDF) sensors impede their application in monitoring of cardiac rhythm due to the limited piezoelectricity. Here, doping of CoFeO and aligning fibers were jointly adopted to enhance the piezoelectricity of PVDF, attributed to the transformation of α-PVDF to β-PVDF from 51.

Identification and Transcriptome Analysis of with Excellent Low Temperature Resistance.

is one of the most destructive quarantine pests, causing irreversible damage to pine trees. However, the unexpected identification of pine wilt disease in Northern China indicates that can survive under low temperatures. In this study, we analyzed the reproductivity variations among 18 different isolates, and SC13 was identified to have excellent low temperature resistance.

Depletion of Gibberellin Signaling Up-Regulates Transcription and Promotes Adventitious Root Formation in Leaf Explants.

Adventitious root (AR) formation in plants originates from non-root organs such as leaves and hypocotyls. Auxin signaling is essential for AR formation, but the roles of other phytohormones are less clear. In , at least two distinct mechanisms can produce ARs, either from hypocotyls as part of the general root architecture or from wounded organs during de novo root regeneration (DNRR).

CsMPDB 1.0: An interactive web application for visualizing and exploring the microRNAs and phasiRNAs of tea plant (Camellia sinensis var. sinensis 'Shuchazao').

The microRNAs and phasiRNAs of plant are small non-coding RNAs with important functions through regulating gene expression at the post-transcriptional level. However, identifying miRNAs, phasiRNAs and their target genes from numerous sequencing raw data requires multiple software and command-line operations, which are time-consuming and labor-intensive for non-model plants. Therefore, we present CsMPDB (miRNAs and phasiRNAs database of Camellia sinensis), an interactive web application with multiple analysis modules developed to visualize and explore miRNA and phasiRNA in tea plants based on 259 sRNA-seq samples and 24 degradome-seq samples in NCBI.