Omics techniques, including genomics, transcriptomics, proteomics, and metabolomics have smoothed the researcher\'s ability to generate hypotheses and discover various agronomically relevant functions and mechanisms, as well as their implications and associations. With a significant increase in the number of cases with resistance to multiple herbicide modes of action, studies on herbicide resistance are currently one of the predominant areas of research within the field of weed science. High-throughput technologies have already started revolutionizing the current molecular weed biology studies. The evolution of herbicide resistance in weeds (particularly via non-target site resistance mechanism) is a perfect example of a complex, multi-pathway integration-induced response. To date, functional genomics, including transcriptomic and metabolomic studies have been used separately in herbicide resistance research, however there is a substantial lack of integrated approach. Hence, despite the ability of omics technologies to provide significant insights into the molecular functioning of weeds, using a single omics can sometimes be misleading. This mini-review will aim to discuss the current progress of transcriptome-based and metabolome-based approaches in herbicide resistance research, along with their systematic integration.

Hearing problems (HP) in adults are common and are associated with several comorbid conditions. Its prevalence increases with age, reflecting the cumulative effect of environmental factors and genetic predisposition. Although several risk loci have been already identified, HP biology and epidemiology are still insufficiently investigated by large-scale genetic studies.
Leveraging the UK Biobank, the Nurses\' Health Studies (I and II), the Health Professionals Follow-up Study, and the Million Veteran Program, we conducted a comprehensive genome-wide investigation of HP in 748,668 adult participants (discovery N = 501,825; replication N = 226,043; cross-ancestry replication N = 20,800). We leveraged the GWAS findings to characterize HP polygenic architecture, exploring sex differences, polygenic risk across ancestries, tissue-specific transcriptomic regulation, cause-effect relationships with genetically correlated traits, and gene interactions with HP environmental risk factors.
We identified 54 risk loci and demonstrated that HP polygenic risk is shared across ancestry groups. Our transcriptomic regulation analysis highlighted the potential role of the central nervous system in HP pathogenesis. The sex-stratified analyses showed several additional associations related to peripheral hormonally regulated tissues reflecting a potential role of estrogen in hearing function. This evidence was supported by the multivariate interaction analysis that showed how genes involved in brain development interact with sex, noise pollution, and tobacco smoking in relation to their HP associations. Additionally, the genetically informed causal inference analysis showed that HP is linked to many physical and mental health outcomes.
The results provide many novel insights into the biology and epidemiology of HP in adults. Our sex-specific analyses and transcriptomic associations highlighted molecular pathways that may be targeted for drug development or repurposing. Additionally, the potential causal relationships identified may support novel preventive screening programs to identify individuals at risk.

Phage are thought to exhibit control over host genes during infection. As a preliminary investigation of the kinetics and magnitude of co-expression between phage and bacteria, we compared the global transcriptional profiles for Vibrio alginolyticus strain E110 and its lytic phage HH109 by using RNA sequencing. In total, 24.7% (1,143/4,620) of the host protein-coding genes were differentially expressed genes during infection (DEGs). Functional analysis of the host DEGs suggests that phage HH109 induced rapid and distinctive changes when compared with 60- and 120-min postinfection (mpi). Based on gene co-expression network analysis, an uncharacterized late gene gp27 encoded by the phage HH109 was predicted to modulate the host\'s membrane transport and/or transcriptional regulation. Furthermore, expression of several bacterial virulence genes was downregulated while drug resistance genes were upregulated. This work contributes to an in-depth understanding of the reciprocal interactions of lytic phage HH109 and its pathogenic Vibrio host E110, and can provide new insights into the research and development of phage therapy against pathogenic Vibrio infections in the economically significant aquatic animals. IMPORTANCE Vibrio alginolyticus is a common opportunistic pathogen that causes mass mortality in cultured marine animals. Phage HH109 lyses pathogenic V. alginolyticus strain E110 with high efficiency and thus serves as a useful model to understand the dynamic interplay of a phage and its host. Global transcriptomic responses of strain E110 post-HH109 infection were characterized by using RNA sequencing, elucidating step-by-step control by HH109, an antiphage-like responses, and the elevated expression of drug resistance. This study provides a detailed molecular description phage and V. alginolyticus, providing insight into better prevention and control of vibriosis in aquatic animals.

Revealing the effect of transcriptomic regulation on behavioral differences is a fundamental goal in biology, but the relationship between gene regulatory networks and individual behavior differences remains largely unknown. Honey bees are considered as good models for studying the mechanisms underlying gene expression changes and behavioral differences since they exhibit strong and obvious differences in tasks between individuals. The cis-regulatory regions usually contain the binding sites of diverse transcription factor (TFs) influencing bee behavior. Thus, the identification of cis-regulatory elements in the brains across different behavioral states is important for understanding how genomic and transcriptomic variations affect different tasks in honeybees.
In this study, we employed transcriptome and genome-wide chromatin accessibility assays to analyze brain tissues of honey bees in different behavioral states for examining the relationship between individual behavior differences and brain gene expression changes. We also used the obtained open chromatin regions to identify cis-motifs associating differentially expressed TFs and genes in order to reveal the transcriptional regulatory mechanism related to the different tasks.
We identified genetic regulatory modules regulating different tasks that contained key TFs (CTCF, Trl and schlank) associated with open chromatin regions enriched for DNA sequence motifs belonging to the family of the corresponding TFs. The most prominent transcriptomic changes, which correlated with chromatin accessibility modifications within their proximal promoter regions, occurred in nervous system development, and were associated with behavior switch.
Our results revealed the regulatory landscape among three behavioral stages in honeybees and identified interactive molecular networks regulating different tasks. These results provide a comprehensive insight into behavioral differences of honeybees, which offers reference for future study.