Differences in bacterial community structure and metabolites between the root zone soil of the new high – Fragrance tea variety Jinlong No. 4 and its grandparent Huangdan

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0318659 - e0318659

Published: Feb. 21, 2025

With the development of tea industry, understanding differences in root zone microecology among different varieties is great significance for improving quality and yield. To investigate microbial metabolite foundation underlying disparities physicochemical properties between high-aroma new variety JL4 (Jinlong No.4) its grandparent HD (Huangdan), bacterial diversity, community structure distinctions soils were analyzed using NovaSeq 6000 high-throughput sequencing GC-MS-derived metabolomics technologies. The analysis soil physical chemical showed that, compared with HD, available phosphorus (AP) was significantly decreased (28.91 ± 9.78 mg · kg −1 , P < 0.05), so potassium (AK) at 57.67 4.04 . results from 16S rDNA indicated had a lower Shannon index higher abundance Gram-negative aerobic-related bacteria. These that there decrease diversity JL4. dominant phyla included Proteobacteria Acidobacteriota Chloroflexi others. Biomarkers Firmicutes Rhizobiales Caulobacterales biomarkers comprised Sphingomonadaceae bacterium URHD0088 Halomonadaceae GC-MS derivatization highlighted sugars as having most differential metabolites (8). In JL4, D-manitol 2 scylo-inositol while (-)-epicatechin, catechin, D-pinitol increased. KEGG pathway enrichment revealed substantial metabolic pathways related to flavonoid biosynthesis. changes these may have significant impact on growth plants. Redundancy Analysis (RDA) along correlation analyses impacts by factors such AK, Soil Organic Matter (SOM), NO 3 − -N (nitrate nitrogen), pH levels. A positive observed AK both Kapabacteria individually; furthermore, AP exhibited highly but negative unidentified Archaea Catechin (-)-Epicatechin negatively correlated Actinobacteria phylum showing Verrucomicrobia Kryptonia phyla. This study systematically characteristics first time, providing ideas methods improvement precision cultivation management, which expected promote high-quality industry future.

Language: Английский

LCLN-CA: A Survival Regression Analysis-Based Prediction Method for Catechin Content in Yunnan Sun-Dried Tea

Horticulturae, Journal Year: 2024, Volume and Issue: 10(12), P. 1321 - 1321

Published: Dec. 11, 2024

Catechins are pivotal determinants of tea quality, with soil environmental factors playing a crucial role in the synthesis and accumulation these compounds. To investigate impact changes garden environments on catechin content sun-dried tea, this study measured samples corresponding leaves from Nanhua, Yunnan, China. By integrating variations those 17 employing COX regression factor analysis, it was found that pH, organic matter (OM), fluoride, arsenic (As), chromium (Cr) were significantly correlated (p < 0.05). Further, using LASSO for variable selection, model named LCLN-CA constructed four variables including OM, As. The demonstrated high fitting accuracy AUC values 0.674, 0.784, 0.749 intervals CA ≤ 10%, 10% 20%, 20% 30% training set, respectively. validation set showed 0.630, 0.756, 0.723, respectively, indicating well-calibrated curve. Based DynNom framework, visual prediction system Yunnan developed. External test dataset achieved an Accuracy 0.870. This explored relationship between soil-related content, paving new way enhancing practical application value artificial intelligence technology agricultural production.

Language: Английский

Analysis of rhizosphere soil microbial diversity and its functions between Dahongpao mother tree and cutting Dahongpao

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 6, 2024

Dahongpao mother tree (

Language: Английский