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High-fidelity gut metagenome: A new insight of identification of fuctional probiotics
Yuhui Wang, Peiwen Gao, Chenying Li, Yuxi Lu, Yubo Zhang, Yu Zhou, Siyuan Kong
2026, 25 (4): 1330-1342.   DOI: 10.1016/j.jia.2024.05.011
Abstract110)      PDF in ScienceDirect      
Probiotics are considered to exert beneficial effects in humans and animals by modulating the structure and metabolic functions of the gut microbiota.  Therefore, the identification of functional probiotics and in-depth exploration of the characteristics and applicability of probiotics are of paramount significance for the development of more effective probiotic products and the formulation of personalized probiotic treatment strategies in the fields of human health and livestock farming.  However, due to current limitations in sequencing technologies and considering that microbial communities may encompass closely related lineages, rendering metagenome assembly complex, the generation of complete metagenome-assembled genomes (cMAGs) is hindered.  This limitation constrains our comprehensive resolution at the probiotic strain level.  In this review, we summarized the effects of probiotics on gut microbiota balance and host health from a functional perspective.  The technical methods of functional probiotics identification were summarized from the technical point of view.  Furthermore, we introduced methods for microbial metagenome assembly to elucidate the associated progress and advantages and disadvantages of these approaches.  Finally, we highlight more advanced metagenomic assembly techniques that may help us assemble high-fidelity intestinal metagenomes, providing powerful tools for the identification of functional probiotics.
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Sheep with partial RXFP2 knockout exhibit normal horn phenotype but unilateral cryptorchidism
Yawei Gao, Siyuan Xi, Bei Cai, Tingjie Wu, Qian Wang, Peter Kalds, Shuhong Huang, Yuhui Wang, Saizheng Han, Menghao Pan, Chong Yang, Qifang Kou, Baohua Ma, Xiaolong Wang, Shiwei Zhou, Yulin Chen
2025, 24 (9): 3698-3702.   DOI: 10.1016/j.jia.2023.11.045
Abstract290)      PDF in ScienceDirect      
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Optimizing rice yield: Evaluating the nitrogen supply characteristics of slow- and controlled-release fertilizers using the leaf nitrogen balance index
Weike Tao, Qiuli Chen, Weiwei Li, Shen Gao, Jiaqi Li, Yuhui Wang, Sajjad Ahmad, Yanfeng Ding, Ganghua Li
2025, 24 (11): 4182-4194.   DOI: 10.1016/j.jia.2024.03.010
Abstract188)      PDF in ScienceDirect      
Synchronizing the nitrogen (N) supply of slow- and controlled-release N fertilizers (SCRNFs) with rice N demand is essential in replacing multiple urea applications with a single basal application of SCRNFs.  Traditional assessment of N supply characteristics primarily examines N release patterns, which are limited to coated SCRNFs and disregard N transformation mechanisms, necessitating a more universal and reliable index.  Based on the capacity of crop N status to detect N deficiency or excess, we hypothesized that utilizing leaf N balance index (NBI) as a measure of N status could offer novel insights into assessing N supply characteristics of SCRNFs.  Field experiments were conducted with four individual SCRNFs-humic acid urea (HAU), sulfur-coated urea (SCU), urease inhibitor urea (UIU), and polymer-coated urea (PCU) and their four combined forms, alongside high-yield urea split application as control (CK).  The results revealed that NBI dynamics relative to CK reflected the N supply potential of different SCRNFs while categorizing them as short-, medium-, and long-acting fertilizers.  Combinations incorporating the long-acting SCRNF (PCU) consistently demonstrated superior performance in yield (by 5.5%) and N use efficiency (by 42.8%) through providing more consistent and efficient N supply throughout the rice growth cycle.  Grain yield exhibited negative correlation with the difference in NBI dynamics between SCRNFs and CK, suggesting that synchronizing N supply between one-time application of SCRNFs and conventional high-yield fertilization is crucial for high yield.  These findings demonstrate the potential of N status diagnosed by leaf NBI to evaluate N supply characteristics of SCRNFs and highlight the importance of synchronized N supply for a one-time SCRNF application.

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Single-time fertilization of controlled release blended fertilizer optimizes soil nitrogen distribution and root characteristics to increase conventional japonica rice (Oryza sativa L.) grain yield and nitrogen use efficiency
Yuhui Wang, Jie Sun, Shen Gao, Bin He, Zhengyang Wu, Wenjun He, Weike Tao, Xin’ao Tang, Zhi Geng, Weiwei Li, Fei Yang, Zhengrong Jiang, Zhenghui Liu, Yanfeng Ding, Soulaiman Sakr, Ganghua Li
DOI: 10.1016/j.jia.2025.02.034 Online: 20 February 2025
Abstract37)      PDF in ScienceDirect      

Single-time fertilization (STF) of controlled release blended fertilizer (CRBF) improves grain yield and nitrogen use efficiency (NUE) in rice production.  However, the impact of soil nitrogen (N) distribution and root growth on rice yield and NUE under STF of CRBF remains unclear.  This two-year field experiment investigated the effects of fertilizer types (normal urea (U) and CRBF) and single-time fertilization methods (broadcast and side-deep fertilization) on the soil N distribution, plant N uptake, root characteristics, grain yield and NUE.  The results showed that CRBF under STF averaged increased plant dry matter accumulation, N uptake, grain yield, nitrogen recovery efficiency (NRE), and nitrogen agronomic efficiency (NAE) by 8.29, 21.85, 10.57, 79.28, and 74.8% compared to the other treatments, respectively.  Side-deep fertilization of CRBF further increased NUE by 12.78% compared to broadcast.  Moreover, CRBF under STF increased leaf SPAD value and glutamine synthetase (GS) /glutamine oxoglutarate aminotransferase (GOGAT) activity by 5.93 and 25.58%.  CRBF under STF increased the soil inorganic N concentration and showed a “rising early and stabilizing later” characteristic.  Additionally, CRBF under STF improved rice root growth and averaged increased root biomass, total root number, root average diameter, total root length, total root surface area, total root volume by 28.30, 28.56, 18.64, 13.38, 35.26, and 37.06% at tillering and heading stages, respectively.  Partial least squares path modeling indicated that CRBF under STF increased soil inorganic N concentration to improve root morphology, thereby increasing N uptake and improving and rice yield and NUE.  Taken together, our findings support that CRBF with single-time fertilization is the preferred N fertilizer strategy for achieving high yield and efficiency in rice and that side-deep fertilization is the optimal fertilization method.

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