Transcriptome Analyses Reveal the Molecular Response of Juvenile Greater Amberjack (<i>Seriola dumerili</i>) to Marine Heatwaves by Yali Tian, Liancheng Li, Hongzhao Long, Dongying Zhang, Chen Wang, Ruijuan Hao, Hang Li, Xiaoying Ru, Qiuxia Deng, Qin Hu, Yang Huang, Chunhua Zhu

“…Transcriptome sequencing revealed that 17 differentially expressed genes (DEGs) belonging to the heat shock protein (HSP) families—HSP30, HSP40, HSP70, and HSP90—were significantly upregulated under short-lasting MHW stress in the T24-4d vs. …”
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Effects of hypoxia on the heart of the juvenile four-finger threadfin (Eleutheronema tetradactylum) based on physiological indicators and transcriptome analysis by Yi Lu, Eric Amenyogbe, Ye- Yang, Zhong-liang Wang, Zhong-liang Wang, Zhong-liang Wang, Jing-hui Jin, Rui-tao Xie, Eric Kwabena Droepenu, Jian-sheng Huang, Jian-sheng Huang, Jian-sheng Huang

“…This study evaluated the effects of hypoxia on the heart of juvenile four-finger threadfin (Eleutheronema tetradactylum) through physiological and transcriptome analysis. Juveniles with an average weight of 122.82 g and length of 24.60 cm were used. …”
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Integrated metabolomic and transcriptomic analysis reveals the role of root phenylpropanoid biosynthesis pathway in the salt tolerance of perennial ryegrass by Yan-Hua Cao, Zhao-Long Lü, Yuan-Hong Li, Yiwei Jiang, Jin-Lin Zhang

“…In this study, the salt sensitive genotype P1 (PI265351, Chile) and the salt tolerant genotype P2 (PI368892, Algeria) of perennial ryegrass were subjected to 200 mM NaCl, and transcriptomics and metabolomics analyses were performed. …”
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Joint Transcriptomic and Metabolomic Analysis of Molecular Physiological Mechanisms of Tea Tree Roots in Response to pH Regulation by Qi Zhang, Mingzhe Li, Miao Jia, Zewei Zhou, Yulin Wang, Yankun Liao, Xiaoli Jia, Tingting Wang, Haibin Wang, Jianghua Ye

“…Transcriptome analysis showed that a total of 2654 characteristic genes were obtained in response to pH regulation in the root system of the tea plant, which were mainly enriched in six metabolic pathways. …”
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Single-Nucleus RNA Sequencing Reveals the Transcriptome Profiling of Ovarian Cells in Adolescent <i>Cyprinus carpio</i> by Mingxi Hou, Jin Zhang, Qi Wang, Ran Zhao, Yiming Cao, Yingjie Chen, Kaikuo Wang, Ning Ding, Yingjie Qi, Xiaoqing Sun, Yan Zhang, Jiongtang Li

“…In summary, our study provided a transcriptome profile of common carp ovaries at single-nucleus resolution, and we further revealed the potential cell type-specific mechanisms underlying oogenesis and the differentiation of granulosa cells, which will facilitate breeding all-female common carp populations.…”
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Integrated transcriptome and metabolome analysis reveals the impacts of prolonged light exposure on starch and protein content in maize kernels by Kangni Zhang, Lina Wei, Jingpeng Geng, Weimin Zhan, Yankun Li, Yong Shi, Yanpei Zhang, Shizhan Chen, Jianping Yang

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Dynamic physiology and transcriptomics revealed the alleviation effect of melatonin on Reaumuria trigyna under continuous alkaline salt stress by Xuebo Li, Lei Wang, Heyi Wang, Rui Hao, Lunkai Gao, Hongbo Cui, Hai Wu, Xiaodong Wu, Tong Qiao, Weijie Bai, Liming Zhang

“…This study investigates the response mechanisms of melatonin on the dynamic physiology and transcriptomics of Reaumuria trigyna, a critical salt-tolerant plant species in Central Asian salt desert ecosystems. …”
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Genome and transcriptome analysis of Chinese wheat powdery mildew isolate 21–2 for discovery of important virulence determinants by Fansong Zeng, Bo Zhang, Bin Yuan, Minfeng Xue, Wenqi Shi, Shuangjun Gong, Tom Hsiang, Dazhao Yu, Lijun Yang

“…Among them, one can bind a defence-related protein of wheat and may play a key role in suppressing host immune responses and promoting disease progression. This study provides comprehensive genomic and transcriptomic insights into Chinese Bgt isolate 21–2, and reveals virulence determinants and their variants fundamental to pathogenesis. …”
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Skin transcriptomic and selection signature analyses identify ASIP as a key gene in cattle coat color determination by Xin Wang, Longxin Xu, Di Zhou, Yanli Lv, Junda Wu, Yuanfeng Zhao, Mengmeng Ni, Wenzhang Zhou, Kaikai Zhang, Hua Wang, Jipan Zhang

“…Transcriptomic analysis identified 14,118 expressed genes, with principal component analysis and hierarchical clustering revealing clear differences between black and brown cattle. …”
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Unveiling the molecular mechanisms of γ-polyglutamic acid-mediated drought tolerance in cotton through transcriptomic and physiological analyses by Ziyu Wang, Xin Zhang, Yunhao Liusui, Wanwan Fu, Aixia Han, Dongmei Zhao, Jisheng Yue, Yongfeng Tu, Jingbo Zhang, Yanjun Guo

“…This indicates that exogenous application of γ-PGA can effectively enhance cotton’s tolerance to drought stress. Subsequently, transcriptome sequencing was performed on the leaves of cotton plants under drought stress in both the γ-PGA-treated and control groups. …”
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Transcriptomic analysis reveals molecular phenological changes during the flower-to-fruit transition in Vanilla planifolia Andrews (Orchidaceae) by Olga Andrea Hernández-Miranda, Jorge E. Campos, Estela Sandoval-Zapotitla, Ulises Rosas, María Teresa Ortiz-Melo, Victor Manuel Salazar-Rojas

“…This study explores transcriptomic and histological variations to identify key molecular and phenological changes in the ovary during the flower-to-fruit transition in V. planifolia. …”
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Integrating GWAS and transcriptomics to identify candidate genes conferring relative growth rate trait in white-feathered broiler by Peihao Liu, Na Luo, Dawei Liu, Fan Ying, Dan Zhu, Jie Wen, Guiping Zhao, Bingxing An

“…A total of 301 differentially expressed genes (DEGs) related to the RGR in white-feathered broiler were identified by transcriptome differential analysis between the H and L populations, among which NFKBIA, CSF1R and TLR2A were important hub genes. …”
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Comparative transcriptomic and molecular biology analyses to explore potential immune responses to Vibrio parahaemolyticus challenge in Eriocheir sinensis by Duanduan Chen, Duanduan Chen, Yunteng Xin, Yunteng Xin, Jian Teng, Xiaodong Zhao, Jianbiao Lu, Yubao Li, Hui Wang, Hui Wang

“…This model aimed to compare pathological damage and enzyme activity changes in E. sinensis hepatopancreas tissue at various infection time points, and to examine transcriptome changes in individuals exhibiting different clinical symptoms of infection. …”
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Metabolic, transcriptomic, and proteomic adaptations in pancreatic ductal adenocarcinoma-patient derived xenograft models across serial passages by Pengfei Guo, Haizong Fang, Han Shi, Junrong Zhang, Ge Song, Chongjiu Fan, Xinyu Qiu, Xianchao Lin, Shi Wen, Jianghua Feng, Heguang Huang, Tianhong Teng

“…Abstract Background Patient-derived xenograft (PDX) models are crucial for tumor biology and therapeutic response evaluations. The metabolic, transcriptomic, and proteomic changes in PDX models derived from pancreatic ductal adenocarcinoma (PDAC) during serial passaging remain poorly understood. …”
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Integrative Analysis of Metabolome and Transcriptome Profiles to Evaluate the Response Mechanisms of <i>Carex adrienii</i> to Shade Conditions by Tao Guo, Shumin Wang, Zhong Tian, Shuang Chen, Xuemei Li, Shihui Zou, Zhijian Tan, Jiao Wang, Sheng Wang, Lijiao Ai, Shunzhao Sui

“…In order to explore the potential molecular mechanisms of shade tolerance in <i>Carex</i>, transcriptome and metabolome sequencing were performed on the leaves of the shade = tolerant species <i>Carex adrienii</i> E. …”
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Integration of Transcriptomics and Metabolomics Reveals Mechanisms of High-Temperature Stress Tolerance in the Hepatopancreas of <i>Penaeus monodon</i> by Li Liu, Peng Zhao, Lishi Yang, Yundong Li, Zhong Huang, Qibin Yang, Yukai Yang, Jianzhi Shi, Yibiao Chen, Jianhua Huang

“…The hepatopancreas of two groups was subjected to transcriptomic and metabolomic analysis. The results revealed that, compared to the S group, the T group exhibited a total of 3527 DEGs, including 2199 upregulated and 1328 downregulated genes. …”
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Transcriptomic and metabolomic insights into temperature-dependent changes in catechin and anthocyanin accumulation in tea plants with different leaf colors by Jingbo Yu, Qianying Wang, Wenli Wang, Ruihong Ma, Changqing Ding, Kang Wei, Liyuan Wang, Shibe Ge, Yuanzhi Shi, Xin Li

“…Temperatures influence leaf color and secondary metabolite accumulation in tea plants and thus it is worth investigating global metabolic and transcriptomic changes in different tea cultivars under different temperature regimes. …”
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Peanut leaf transcriptomic dynamics reveals insights into the acclimation response to elevated carbon dioxide under semiarid conditions by Haydee Laza, Bishwoyog Bhattarai, Bishwoyog Bhattarai, Venugopal Mendu, Mark D. Burow, Mark D. Burow, Yves Emendack, Jacobo Sanchez, Aarti Gupta, Mostafa Abdelrahman, Lam-Son Phan Tran, David T. Tissue, Paxton Payton

“…We evaluated a comparative leaf transcriptomic profile across three periodic water deficit/re-hydration (well-watered/recovery) cycles throughout the growing season using RNAseq analysis.ResultsOur results showed that the transcriptome responses were influenced by [CO2], water availability, and developmental stages. …”
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16S rRNA and transcriptome analysis revealed the regulatory mechanism of Romboutsia lituseburensis on serum immunoglobulin levels in geese by Zhiyu He, Mengge Guo, Xi Zhang, Shangmin Wang, Tanze Liu, Yueyue Lin, Qingyuan Ouyang, Shenqiang Hu, Hua He, Liang Li, Hehe Liu, Jiwen Wang

“…These findings offer new insights into how R. lituseburensis influences immune function in female geese and provide a theoretical basis for further research into its other physiological roles in geese.…”
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Transcriptomic and proteomic signatures of host NK cells delineate distinct immune states across tuberculosis infection statuses by Han Zhang, Liguo Liu, Jie Hu, Xiaolin Wu, Jianhua Zheng, Henan Xin, Jiang Du, Jiarong Yang, Zizheng Lv, Zhuoran Wu, Lei Gao, Rongmei Liu, Haidan Sun, Xiaobing Zhang, Qi Jin

“…These findings elucidate the immune clearance mechanism of NK cells in TB and provide clinically actionable biomarkers for infection staging, advancing our understanding of TB immunopathogenesis.…”
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