Modern western medicine typically focuses on treating specific symptoms or diseases,and traditional Chinese medicine(TCM)emphasizes the interconnections of the body’s various systems under external environment and ta...Modern western medicine typically focuses on treating specific symptoms or diseases,and traditional Chinese medicine(TCM)emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases.Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics.While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou(a TCM definition of clinical phenome),bottlenecks remain in data standardization,mechanistic interpretation,and precision intervention.Here,we systematically elaborates on the theoretical foundations,technical pathways,and future challenges of integrating digital medicine with TCM phenomics under the framework of“TCM phenomics 2.0”,which is supported by digital medicine technologies such as artificial intelligence,wearable devices,medical digital twins,and multi-omics integration.This framework aims to construct a closed-loop system of“Zhenghou–Phenome–Mechanism–Intervention”and to enable the digitization,standardization,and precision of disease diagnosis and treatment.The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine.In practice,digital tools facilitate multi-source clinical data acquisition and standardization,while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms,thereby improving scientific rigor in diagnosis,efficacy evaluation,and personalized intervention.Nevertheless,challenges persist,including data quality and standardization issues,shortage of interdisciplinary talents,and insufficiency of ethical and legal regulations.Future development requires establishing national data-sharing platforms,strengthening international collaboration,fostering interdisciplinary professionals,and improving ethical and legal frameworks.Ultimately,this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance,innovation,and modernization of TCM diagnostic and therapeutic patterns.展开更多
Traditional Chinese medicine(TCM)has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder.However,its widespread application has been hindered by th...Traditional Chinese medicine(TCM)has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder.However,its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms.As an emerging interdisciplinary field,phenomics integrates multi-dimensional data including genome,transcriptome,proteome,metabolome,and microbiome.When combined with TCM's holistic philosophy,it forms TCM phenomics,providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine.Taking glycolipid metabolism disorder as an example,this paper explores the application of TCM phenomics in glycolipid metabolism disorder.By analyzing molecular characteristics of related syndromes,TCM phenomics identifies differentially expressed genes,metabolites,and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes.Simultaneously,it deciphers the multi-target regulatory networks of herbal formulas,demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways,improvement of gut microbiota imbalance,and suppression of inflammatory responses.Current challenges include the subjective nature of syndrome diagnosis,insufficient standardization of animal models,and lack of integrated multi-omics analysis.Future research should employ machine learning,multimodal data integration,and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes,promote the integration of precision medicine in TCM and western medicine,and accelerate the modernization of TCM.展开更多
Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improv...Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improvement of crops to enhance their resilience to abiotic stresses and new pests due to climate change is essential for future food security.The field of genomics has made significant strides over the past few decades,enabling us to sequence and analyze entire genomes.However,understanding the complex relationship between genes and their expression in phenotypes-the observable characteristics of an organism-requires a deeper understanding of phenomics.Phenomics seeks to link genetic information with biological processes and environmental factors to better understand complex traits and diseases.Recent breakthroughs in this field include the development of advanced imaging technologies,artificial intelligence algorithms,and large-scale data analysis techniques.These tools have enabled us to explore the relationships between genotype,phenotype,and environment in unprecedented detail.This review explores the importance of understanding the complex relationship between genes and their expression in phenotypes.Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.展开更多
Traditional Chinese medicine (TCM) with its millenniaold wisdom rooted in the principles of holistic Yin-Yang balance and “Bianzheng Lunzhi”[辨证论治, Zhenghou(证候) differentiation and treatment], has long offered ...Traditional Chinese medicine (TCM) with its millenniaold wisdom rooted in the principles of holistic Yin-Yang balance and “Bianzheng Lunzhi”[辨证论治, Zhenghou(证候) differentiation and treatment], has long offered a unique lens to understand human health and disease.However, the modern scientific interpretation of TCM remains at the stage of “knowing that it works, but not knowing why it works”.展开更多
Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most mod...Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most modern crop phenomics use different sensors to collect reflective,emitted,and fluorescence signals,etc.,from plant organs at different spatial and temporal resolutions.Such multi-modal,high-dimensional data not only accelerates basic research on crop physiology,genetics,and whole plant systems modeling,but also supports the optimization of field agronomic practices,internal environments of plant factories,and ultimately crop breeding.Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection,management,sharing,and processing,developing capabilities to measure physiological parameters,and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.展开更多
Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and u...Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and usage of crop phenomics technology and equipment has become a bottleneck,limiting the industry’s high-quality development.This paper begins with an overview of the crop phenotyping indus-try and presents an industrial mapping of technology and equipment for big data in crop phenomics.It analyzes the necessity and current state of constructing a standard framework for crop phenotyping.Furthermore,this paper proposes the intended organizational structure and goals of the standard frame-work.It details the essentials of the standard framework in the research and development of hardware and equipment,data acquisition,and the storage and management of crop phenotyping data.Finally,it discusses promoting the construction and evaluation of the standard framework,aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.展开更多
Recent fast advance in biomedical research at the“omic”levels has led to an explosion of big data for the understanding the molecular makeup of diseases,which have revealed the intimate unmatched relationships betwe...Recent fast advance in biomedical research at the“omic”levels has led to an explosion of big data for the understanding the molecular makeup of diseases,which have revealed the intimate unmatched relationships between the genomic variabilities and the current organ-or system-based definition and classification of disease in Western medi⁃cine.The major challenges in the effort to establish and develop precision medicine are how diseases should be defined and classified in an integrated systemic or omic scale and also on an individualized basis.The phenomics approach to the understanding of diseases will allow the transition from focused phenotype/genotype studies to a systemic largescale phenome and genome,proteome,metabolome approach and the identification of a systemically integrated setof biomarkers for diagnosis and prognosis of disease phenome(or Zhenghou).Phenome-wide associated study(PheWAS)may soon lead the field of medical research and provide insightful and novel clues for redefinition of the disease phenome and its clinical classifications and personalized treatment and ultimately precision medicine.Pharma⁃cophenomics is to characterize the phenomes of drug response and also to identify the corresponding therapeutic targets at the level of systems biology.As a complement of pharmacogenomics/proteomics/metabolomics,pharmacoph⁃enomics offers a suite of new technologies and platforms for the transition from focused phenotype-genotype study to a systematic phenome-genome approach and refine drug research with systematically-defined drug response and thera⁃peutic targets.Therefore,pharmacophenomics will provide a new paradigm for the study of drug response including effects and toxicities at the level of systems biology and will identify the corresponding therapeutic targets and principles for combination treatment and prevention of disease using Fangji or Fufang that takes into account individual variability in genes,environment,and lifestyle for each person.展开更多
Machine learning models for crop image analysis and phenomics are highly important for precision agriculture and breeding and have been the subject of intensive research.However,the lack of publicly available high-qua...Machine learning models for crop image analysis and phenomics are highly important for precision agriculture and breeding and have been the subject of intensive research.However,the lack of publicly available high-quality image datasets with detailed annotations has severely hindered the development of these models.In this work,we present a comprehensive multicultivar and multiview rice plant image dataset(CVRP)created from 231 landraces and 50 modern cultivars grown under dense planting in paddy fields.The dataset includes images capturing rice plants in their natural environment,as well as indoor images focusing specifically on panicles,allowing for a detailed investigation of cultivar-specific differences.A semiautomatic annotation process using deep learning models was designed for annotations,followed by rigorous manual curation.We demonstrated the utility of the CVRP by evaluating the performance of four state-of-the-art(SOTA)semantic segmentation models.We also conducted 3D plant reconstruction with organ segmentation via images and annotations.The database not only facilitates general-purpose image-based panicle identification and segmentation but also provides valuable re-sources for challenging tasks such as automatic rice cultivar identification,panicle and grain counting,and 3D plant reconstruction.The database and the model for image annotation are available at.展开更多
Dissecting the mechanism of drought resistance(DR)and designing drought-resistant rice varieties are promising strategies to address the challenge of climate change.Here,we selected a typical droughtavoidant(DA)variet...Dissecting the mechanism of drought resistance(DR)and designing drought-resistant rice varieties are promising strategies to address the challenge of climate change.Here,we selected a typical droughtavoidant(DA)variety,IRAT109,and a drought-tolerant(DT)variety,Hanhui15,as parents to develop a stable recombinant inbred line(RIL)population(F8,1262 lines).The de novo assembled genomes of both parents were released.By resequencing of the RIL population,a set of 1189216 reliable SNPs were obtained and used to construct a dense genetic map.Using above-and belowground phenomic platforms and multimodal cameras,we captured 139040 image-based traits(i-traits)of whole-plant phenotypes in response to drought stress throughout the entire rice growth period and identified 32586 drought-responsive quantitative trait loci(QTLs),including 2097 unique QTLs.QTLs associated with panicle i-traits occurred more than 600 times on the middle of chromosome 8,and QTLs associated with leaf i-traits occurred more than 800 times on the 50 end of chromosome 3,indicating the potential effects of these QTLs on plant phenotypes.We selected three candidate genes(OsMADS50,OsGhd8,OsSAUR11)related to leaf,panicle,and root traits,respectively,and verified their functions in DR.OsMADS50 was found to negatively regulate DR by modulating leaf dehydration,grain size,and downward root growth.A total of 18 and 21 composite QTLs significantly related to grain weight and plant biomass were also screened from 597 lines in the RIL population under drought conditions in field experiments,and the composite QTL regions showed substantial overlap(76.9%)with known DR gene regions.Based on three candidate DR genes,we proposed a haplotype design suitable for different environments and breeding objectives.This study provides a valuable reference for multimodal and time-series phenomic analyses,deciphers the genetic mechanisms of DA and DT rice varieties,and offers a molecular navigation map for breeding of DR varieties.展开更多
With thousands of years of application history,traditional Chinese medicine(TCM)has unique advantages in the prevention of various chronic diseases,and in recent years,the development of TCM has presented a situation ...With thousands of years of application history,traditional Chinese medicine(TCM)has unique advantages in the prevention of various chronic diseases,and in recent years,the development of TCM has presented a situation where opportunities and challenges coexist.Phenomics is an emerging area of life science research,which has numerous similarities to the cognitive perspective of TCM.Thus,how to carry out the interdisciplinary research between TCM and phenomics deserves in-depth discussion.Diabetes is one of the most common chronic non-communicable diseases around the world,and TCM plays an important role in all stages of diabetes treatment,but the molecular mechanisms are difficult to elucidate.Phenomics research can not only reveal the hidden scientific connotations of TCM,but also provide a bridge for the confluence and complementary between TCM and Western medicine.Facing the challenges of the TCM phenomics research,we suggest applying the State-target theory(STT)to overall plan relevant researches,namely,focusing on the disease development,change trends,and core targets of each stage,and to deepen the understanding of TCM disease phenotypes and the therapeutic mechanisms of herbal medicine.展开更多
Evidence has shown that differential transcriptomic profiles among human populations from diverse ancestries,supporting the role of genetic architecture in regulating gene expression alongside environmental stimuli.Ge...Evidence has shown that differential transcriptomic profiles among human populations from diverse ancestries,supporting the role of genetic architecture in regulating gene expression alongside environmental stimuli.Genetic variants that regulate gene expression,known as expression quantitative trait loci(eQTL),are primarily shaped by human migration history and evolutionary forces,likewise,regulation of gene expression in principle could have been influenced by these events.Therefore,a comprehensive understanding of how human evolution impacts eQTL offers important insights into how phenotypic diversity is shaped.Recent studies,however,suggest that eQTL is enriched in genes that are selectively constrained.Whether eQTL is minimally affected by selective pressures remains an open question and requires comprehensive investigations.In addition,such studies are primarily dominated by the major populations of European ancestry,leaving many marginalized populations underrepresented.These observations indicate there exists a fundamental knowledge gap in the role of genomics variation on phenotypic diversity,which potentially hinders precision medicine.This article aims to revisit the abundance of eQTL across diverse populations and provide an overview of their impact from the population and evolutionary genetics perspective,subsequently discuss their influence on phenomics,as well as challenges and opportunities in the applications to precision medicine.展开更多
Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one o...Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.展开更多
Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise cultivation.High-throughput plant phenotypi...Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise cultivation.High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits.Proximal and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and analysis.Substantial progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 publications.This progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and traits.Subsequently,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association analysis.Finally,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication.展开更多
The systematicness of phenomics and Traditional Chinese Medicine(TCM)enable these two disciplines to interlink with each other.This article discussed the similarity in theory and application between TCM and phenomics ...The systematicness of phenomics and Traditional Chinese Medicine(TCM)enable these two disciplines to interlink with each other.This article discussed the similarity in theory and application between TCM and phenomics and illustrates their respective advantages in diagnosis and treatment of diseases,forming a new discipline eventually.Chinese medicine phe-nomics(Chinmedphenomics)is built on classic TCM,combined with phenomics technology,and the development of which needs the mega cohort with TCM syndrome and the characteristics of precision medicine as well as multi-disciplinary coop-eration,which is personalized,precise and promising,providing unique scientific insights into understanding human health.展开更多
Background:The advancement of genomics has progressed in lightning speed over the past two decades.Numerous large-scale genome sequencing initiatives were announced,along with the rise of the holistic precision medici...Background:The advancement of genomics has progressed in lightning speed over the past two decades.Numerous large-scale genome sequencing initiatives were announced,along with the rise of the holistic precision medicine approach.However,the field of genomic medicine has now come to a bottleneck since genomic-phenomic interactions are not fully comprehended due to the complexity of the human systems biology and environmental influence,hence the emergence of human phenomics.Results:This review attempts to provide an overview of the potential advantages of investigating the human phenomics of indigenous populations and the challenges ahead.Conclusion:We believe that the indigenous populations serve as an ideal model to excavate our understanding of genomic-environmental-phenomics interactions.展开更多
Phenomics explores the complex interactions among genes,epigenetics,symbiotic microorganisms,diet,and environmental exposure based on the physical,chemical,and biological characteristics of individuals and groups.Incr...Phenomics explores the complex interactions among genes,epigenetics,symbiotic microorganisms,diet,and environmental exposure based on the physical,chemical,and biological characteristics of individuals and groups.Increasingly efficient and comprehensive phenotyping techniques have been integrated into modern phenomics-related research.Multicolor flow cytometry technology provides more measurement parameters than conventional flow cytometry.Based on detailed descriptions of cell phenotypes,rare cell populations and cell subsets can be distinguished,new cell phenotypes can be discovered,and cell apoptosis characteristics can be detected,which will expand the potential of cell phenomics research.Based on the enhancements in multicolor flow cytometry hardware,software,reagents,and method design,the present review summarizes the recent advances and applications of multicolor flow cytometry in cell phenomics,illuminating the potential of applying phenomics in future studies.展开更多
The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with primates.In recent year...The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with primates.In recent years,significant advances have facilitated tree shrew studies,including the determination of the tree shrew genome,genetic manipulation using spermatogonial stem cells,viral vector-mediated gene delivery,and mapping of the tree shrew brain atlas.However,the limited availability of tree shrews globally remains a substantial challenge in the field.Additionally,determining the key questions best answered using tree shrews constitutes another difficulty.Tree shrew models have historically been used to study hepatitis B virus(HBV)and hepatitis C virus(HCV)infection,myopia,and psychosocial stress-induced depression,with more recent studies focusing on developing animal models for infectious and neurodegenerative diseases.Despite these efforts,the impact of tree shrew models has not yet matched that of rodent or NHP models in biomedical research.This review summarizes the prominent advancements in tree shrew research and reflects on the key biological questions addressed using this model.We emphasize that intensive dedication and robust international collaboration are essential for achieving breakthroughs in tree shrew studies.The use of tree shrews as a unique resource is expected to gain considerable attention with the application of advanced techniques and the development of viable animal models,meeting the increasing demands of life science and biomedical research.展开更多
With the rapid development of genetic analysis techniques and crop population size,phenotyping has become the bottleneck restricting crop breeding.Breaking through this bottleneck will require phenomics,defined as the...With the rapid development of genetic analysis techniques and crop population size,phenotyping has become the bottleneck restricting crop breeding.Breaking through this bottleneck will require phenomics,defined as the accurate,high-throughput acquisition and analysis of multi-dimensional phenotypes during crop growth at organism-wide levels,ranging from cells to organs,individual plants,plots,and fields.Here we offer an overview of crop phenomics research from technological and platform viewpoints at various scales,including microscopic,ground-based,and aerial phenotyping and phenotypic data analysis.We describe recent applications of high-throughput phenotyping platforms for abiotic/biotic stress and yield assessment.Finally,we discuss current challenges and offer perspectives on future phenomics research.展开更多
Fish morphological phenotypes are important resources in artificial breeding,functional gene mapping,and population-based studies in aquaculture and ecology.Traditional morphological measurement of phenotypes is rathe...Fish morphological phenotypes are important resources in artificial breeding,functional gene mapping,and population-based studies in aquaculture and ecology.Traditional morphological measurement of phenotypes is rather expensive in terms of time and labor.More importantly,manual measurement is highly dependent on operational experience,which can lead to subjective phenotyping results.Here,we developed 3DPhenoFish software to extract fish morphological phenotypes from three-dimensional(3D)point cloud data.Algorithms for background elimination,coordinate normalization,image segmentation,key point recognition,and phenotype extraction were developed and integrated into an intuitive user interface.Furthermore,18 key points and traditional 2D morphological traits,along with 3D phenotypes,including area and volume,can be automatically obtained in a visualized manner.Intuitive fine-tuning of key points and customized definitions of phenotypes are also allowed in the software.Using 3DPhenoFish,we performed high-throughput phenotyping for four endemic Schizothoracinae species,including Schizopygopsis younghusbandi,Oxygymnocypris stewartii,Ptychobarbus dipogon,and Schizothorax oconnori.Results indicated that the morphological phenotypes from 3DPhenoFish exhibited high linear correlation(>0.94)with manual measurements and offered informative traits to discriminate samples of different species and even for different populations of the same species.In summary,we developed an efficient,accurate,and customizable tool,3DPhenoFish,to extract morphological phenotypes from point cloud data,which should help overcome traditional challenges in manual measurements.3DPhenoFish can be used for research on morphological phenotypes in fish,including functional gene mapping,artificial selection,and conservation studies.3DPhenoFish is an open-source software and can be downloaded for free at https://github.com/lyh24k/3DPhenoFish/tree/master.展开更多
Phenomics is a new branch of science that provides high-throughput quantification of plant and animal traits at systems level.The last decade has witnessed great successes in high-throughput phenotyping of numerous mo...Phenomics is a new branch of science that provides high-throughput quantification of plant and animal traits at systems level.The last decade has witnessed great successes in high-throughput phenotyping of numerous morphological traits,yet major challenges still exist in precise phenotyping of physiological traits such as transpiration and photosynthesis.Due to the highly dynamic nature of physiological traits in responses to the environment,appropriate selection criteria and efficient screening systems at the physiological level for abiotic stress tolerance have been largely absent in plants.In this review,the current status of phenomics techniques was briefly summarized in horticultural plants.Specifically,the emerging field of high-throughput physiology-based phenotyping,which is referred to as“physiolomics”,for drought stress responseswas highlighted.In addition to analyzing the advantages of physiology-based phenotyping overmorphology-based approaches,recent examples that applied high-throughput physiological phenotyping to model and non-model horticultural plants were revisited and discussed.Based on the collective findings,we propose that high-throughput,non-destructive,and automatic physiological assays can and should be used as routine methods for phenotyping stress response traits in horticultural plants.展开更多
基金Science and Technology strategic cooperation Programs of Luzhou Municipal People’s Government and Southwest Medical University (2019LZXNYD-P01DUAN)National Key R&D Program of China (2024YFC3505400)Regional Key R&D Program of Ningxia Hui Autonomous Region (2024BEG01003)。
文摘Modern western medicine typically focuses on treating specific symptoms or diseases,and traditional Chinese medicine(TCM)emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases.Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics.While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou(a TCM definition of clinical phenome),bottlenecks remain in data standardization,mechanistic interpretation,and precision intervention.Here,we systematically elaborates on the theoretical foundations,technical pathways,and future challenges of integrating digital medicine with TCM phenomics under the framework of“TCM phenomics 2.0”,which is supported by digital medicine technologies such as artificial intelligence,wearable devices,medical digital twins,and multi-omics integration.This framework aims to construct a closed-loop system of“Zhenghou–Phenome–Mechanism–Intervention”and to enable the digitization,standardization,and precision of disease diagnosis and treatment.The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine.In practice,digital tools facilitate multi-source clinical data acquisition and standardization,while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms,thereby improving scientific rigor in diagnosis,efficacy evaluation,and personalized intervention.Nevertheless,challenges persist,including data quality and standardization issues,shortage of interdisciplinary talents,and insufficiency of ethical and legal regulations.Future development requires establishing national data-sharing platforms,strengthening international collaboration,fostering interdisciplinary professionals,and improving ethical and legal frameworks.Ultimately,this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance,innovation,and modernization of TCM diagnostic and therapeutic patterns.
基金National Natural Science Foundation of China(82474323)High Level Chinese Medical Hospital Promotion Project(HLCMHPP20230CZ40907)China Academy of Chinese Medical Sciences Outstanding Young Scientific and Technological Talents Program(ZZ13-YQ-026).
文摘Traditional Chinese medicine(TCM)has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder.However,its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms.As an emerging interdisciplinary field,phenomics integrates multi-dimensional data including genome,transcriptome,proteome,metabolome,and microbiome.When combined with TCM's holistic philosophy,it forms TCM phenomics,providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine.Taking glycolipid metabolism disorder as an example,this paper explores the application of TCM phenomics in glycolipid metabolism disorder.By analyzing molecular characteristics of related syndromes,TCM phenomics identifies differentially expressed genes,metabolites,and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes.Simultaneously,it deciphers the multi-target regulatory networks of herbal formulas,demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways,improvement of gut microbiota imbalance,and suppression of inflammatory responses.Current challenges include the subjective nature of syndrome diagnosis,insufficient standardization of animal models,and lack of integrated multi-omics analysis.Future research should employ machine learning,multimodal data integration,and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes,promote the integration of precision medicine in TCM and western medicine,and accelerate the modernization of TCM.
基金supported this research through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(2019R1A6A1A11052070)。
文摘Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improvement of crops to enhance their resilience to abiotic stresses and new pests due to climate change is essential for future food security.The field of genomics has made significant strides over the past few decades,enabling us to sequence and analyze entire genomes.However,understanding the complex relationship between genes and their expression in phenotypes-the observable characteristics of an organism-requires a deeper understanding of phenomics.Phenomics seeks to link genetic information with biological processes and environmental factors to better understand complex traits and diseases.Recent breakthroughs in this field include the development of advanced imaging technologies,artificial intelligence algorithms,and large-scale data analysis techniques.These tools have enabled us to explore the relationships between genotype,phenotype,and environment in unprecedented detail.This review explores the importance of understanding the complex relationship between genes and their expression in phenotypes.Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.
文摘Traditional Chinese medicine (TCM) with its millenniaold wisdom rooted in the principles of holistic Yin-Yang balance and “Bianzheng Lunzhi”[辨证论治, Zhenghou(证候) differentiation and treatment], has long offered a unique lens to understand human health and disease.However, the modern scientific interpretation of TCM remains at the stage of “knowing that it works, but not knowing why it works”.
基金supported by National Research and Development Program of Ministry of Science and Technology of China(2020YFA0907600,2018YFA0900600,2019YFA09004600)Strategic Priority Research Program of the Chinese Academy of Sciences(XDB27020105,XDB37020104,XDA24010203,XDA0450202)+2 种基金National Science Foundation of China(31870214)the National Key Research and Development Program of China(2023YFF1000100)STI2030eMajor Projects(2023ZD04076).
文摘Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most modern crop phenomics use different sensors to collect reflective,emitted,and fluorescence signals,etc.,from plant organs at different spatial and temporal resolutions.Such multi-modal,high-dimensional data not only accelerates basic research on crop physiology,genetics,and whole plant systems modeling,but also supports the optimization of field agronomic practices,internal environments of plant factories,and ultimately crop breeding.Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection,management,sharing,and processing,developing capabilities to measure physiological parameters,and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.
基金supported by the National Key R&D Program of China(2022YFD2002300)the Construction of Collaborative Innovation Center of Beijing Academy of Agricultural and Forestry Sciences(KJCX20240406)+1 种基金the National Natural Science Foundation of China(32071891)the earmarked fund(CARS-02 and CARS-054).
文摘Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and usage of crop phenomics technology and equipment has become a bottleneck,limiting the industry’s high-quality development.This paper begins with an overview of the crop phenotyping indus-try and presents an industrial mapping of technology and equipment for big data in crop phenomics.It analyzes the necessity and current state of constructing a standard framework for crop phenotyping.Furthermore,this paper proposes the intended organizational structure and goals of the standard frame-work.It details the essentials of the standard framework in the research and development of hardware and equipment,data acquisition,and the storage and management of crop phenotyping data.Finally,it discusses promoting the construction and evaluation of the standard framework,aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.
文摘Recent fast advance in biomedical research at the“omic”levels has led to an explosion of big data for the understanding the molecular makeup of diseases,which have revealed the intimate unmatched relationships between the genomic variabilities and the current organ-or system-based definition and classification of disease in Western medi⁃cine.The major challenges in the effort to establish and develop precision medicine are how diseases should be defined and classified in an integrated systemic or omic scale and also on an individualized basis.The phenomics approach to the understanding of diseases will allow the transition from focused phenotype/genotype studies to a systemic largescale phenome and genome,proteome,metabolome approach and the identification of a systemically integrated setof biomarkers for diagnosis and prognosis of disease phenome(or Zhenghou).Phenome-wide associated study(PheWAS)may soon lead the field of medical research and provide insightful and novel clues for redefinition of the disease phenome and its clinical classifications and personalized treatment and ultimately precision medicine.Pharma⁃cophenomics is to characterize the phenomes of drug response and also to identify the corresponding therapeutic targets at the level of systems biology.As a complement of pharmacogenomics/proteomics/metabolomics,pharmacoph⁃enomics offers a suite of new technologies and platforms for the transition from focused phenotype-genotype study to a systematic phenome-genome approach and refine drug research with systematically-defined drug response and thera⁃peutic targets.Therefore,pharmacophenomics will provide a new paradigm for the study of drug response including effects and toxicities at the level of systems biology and will identify the corresponding therapeutic targets and principles for combination treatment and prevention of disease using Fangji or Fufang that takes into account individual variability in genes,environment,and lifestyle for each person.
基金supported in part by grants from Biological Breeding-National Science and Technology Major Project(Grant No.2023ZD04076)the National Natural Science Foundation of China(Grant No.32170647)+2 种基金the National Science Foundation of Jiangsu Province in China(Grant Nos.BK20212010 and BE2022383)the Jiangsu Engineering Research Center for Plant Genome Editing,Southern Japonica Rice Research and Development Co.LTDthe Jiangsu Collaborative Innovation Center for Modern Crop Production.
文摘Machine learning models for crop image analysis and phenomics are highly important for precision agriculture and breeding and have been the subject of intensive research.However,the lack of publicly available high-quality image datasets with detailed annotations has severely hindered the development of these models.In this work,we present a comprehensive multicultivar and multiview rice plant image dataset(CVRP)created from 231 landraces and 50 modern cultivars grown under dense planting in paddy fields.The dataset includes images capturing rice plants in their natural environment,as well as indoor images focusing specifically on panicles,allowing for a detailed investigation of cultivar-specific differences.A semiautomatic annotation process using deep learning models was designed for annotations,followed by rigorous manual curation.We demonstrated the utility of the CVRP by evaluating the performance of four state-of-the-art(SOTA)semantic segmentation models.We also conducted 3D plant reconstruction with organ segmentation via images and annotations.The database not only facilitates general-purpose image-based panicle identification and segmentation but also provides valuable re-sources for challenging tasks such as automatic rice cultivar identification,panicle and grain counting,and 3D plant reconstruction.The database and the model for image annotation are available at.
基金supported by the National Natural Science Foundation of China(32172098 and U21A20205)the Natural Science Foundation of Shanghai(23ZR1455900 and 22ZR1455200).
文摘Dissecting the mechanism of drought resistance(DR)and designing drought-resistant rice varieties are promising strategies to address the challenge of climate change.Here,we selected a typical droughtavoidant(DA)variety,IRAT109,and a drought-tolerant(DT)variety,Hanhui15,as parents to develop a stable recombinant inbred line(RIL)population(F8,1262 lines).The de novo assembled genomes of both parents were released.By resequencing of the RIL population,a set of 1189216 reliable SNPs were obtained and used to construct a dense genetic map.Using above-and belowground phenomic platforms and multimodal cameras,we captured 139040 image-based traits(i-traits)of whole-plant phenotypes in response to drought stress throughout the entire rice growth period and identified 32586 drought-responsive quantitative trait loci(QTLs),including 2097 unique QTLs.QTLs associated with panicle i-traits occurred more than 600 times on the middle of chromosome 8,and QTLs associated with leaf i-traits occurred more than 800 times on the 50 end of chromosome 3,indicating the potential effects of these QTLs on plant phenotypes.We selected three candidate genes(OsMADS50,OsGhd8,OsSAUR11)related to leaf,panicle,and root traits,respectively,and verified their functions in DR.OsMADS50 was found to negatively regulate DR by modulating leaf dehydration,grain size,and downward root growth.A total of 18 and 21 composite QTLs significantly related to grain weight and plant biomass were also screened from 597 lines in the RIL population under drought conditions in field experiments,and the composite QTL regions showed substantial overlap(76.9%)with known DR gene regions.Based on three candidate DR genes,we proposed a haplotype design suitable for different environments and breeding objectives.This study provides a valuable reference for multimodal and time-series phenomic analyses,deciphers the genetic mechanisms of DA and DT rice varieties,and offers a molecular navigation map for breeding of DR varieties.
基金supported by Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine[State Administration of Traditional Chinese Medicine of the People’s Republic of China](No.ZYYCXTD-D-202001)Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences(No.CI2021A01600,No.CI2021A01606).
文摘With thousands of years of application history,traditional Chinese medicine(TCM)has unique advantages in the prevention of various chronic diseases,and in recent years,the development of TCM has presented a situation where opportunities and challenges coexist.Phenomics is an emerging area of life science research,which has numerous similarities to the cognitive perspective of TCM.Thus,how to carry out the interdisciplinary research between TCM and phenomics deserves in-depth discussion.Diabetes is one of the most common chronic non-communicable diseases around the world,and TCM plays an important role in all stages of diabetes treatment,but the molecular mechanisms are difficult to elucidate.Phenomics research can not only reveal the hidden scientific connotations of TCM,but also provide a bridge for the confluence and complementary between TCM and Western medicine.Facing the challenges of the TCM phenomics research,we suggest applying the State-target theory(STT)to overall plan relevant researches,namely,focusing on the disease development,change trends,and core targets of each stage,and to deepen the understanding of TCM disease phenotypes and the therapeutic mechanisms of herbal medicine.
基金supported by the Ministry of Higher Education(MOHE)Malaysia through Fundamental Research Grant Scheme(FRGS)with project code:FRGS/1/2021/STG01/UCSI/01/.SX was funded by the National Natural Science Foundation of China(NSFC)grants 32030020 and 32288101funded by the NSFC grant 32270665.
文摘Evidence has shown that differential transcriptomic profiles among human populations from diverse ancestries,supporting the role of genetic architecture in regulating gene expression alongside environmental stimuli.Genetic variants that regulate gene expression,known as expression quantitative trait loci(eQTL),are primarily shaped by human migration history and evolutionary forces,likewise,regulation of gene expression in principle could have been influenced by these events.Therefore,a comprehensive understanding of how human evolution impacts eQTL offers important insights into how phenotypic diversity is shaped.Recent studies,however,suggest that eQTL is enriched in genes that are selectively constrained.Whether eQTL is minimally affected by selective pressures remains an open question and requires comprehensive investigations.In addition,such studies are primarily dominated by the major populations of European ancestry,leaving many marginalized populations underrepresented.These observations indicate there exists a fundamental knowledge gap in the role of genomics variation on phenotypic diversity,which potentially hinders precision medicine.This article aims to revisit the abundance of eQTL across diverse populations and provide an overview of their impact from the population and evolutionary genetics perspective,subsequently discuss their influence on phenomics,as well as challenges and opportunities in the applications to precision medicine.
基金the National Key Research and Development Program of China(2016YFD0100101-18,2016YFD0100103)the National Natural Science Foundation of China(31770397,21800305)+2 种基金the Fundamental Research Funds for the Central Universities(2662017PY058,2662017QD044)UK-China grant BBSRC(grant no.BB/R02118X/1)the National Institute of Food and Agriculture,U.S.Department of Agriculture,Hatch project(ALA014-1-16016).
文摘Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.
基金supported by the Hainan Yazhou Bay Seed Lab(no.B21HJ1005)the Fundamental Research Funds for the Central Universities(no.KYCYXT2022017)+5 种基金the Open Project of Key Laboratory of Oasis Eco-agriculture,Xinjiang Production and Construction Corps(no.202101)the Jiangsu Association for Science and Technology Independent Innovation Fund Project(no.CX(21)3107)the High Level Personnel Project of Jiangsu Province(no.JSSCBS20210271)the China Postdoctoral Science Foundation(no.2021M691490)the Jiangsu Planned Projects for Postdoctoral Research Funds(no.2021K520C)the JBGS Project of Seed Industry Revitalization in Jiangsu Province(no.JBGS[2021]007).
文摘Plant phenomics(PP)has been recognized as a bottleneck in studying the interactions of genomics and environment on plants,limiting the progress of smart breeding and precise cultivation.High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits.Proximal and remote sensing(PRS)techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and analysis.Substantial progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 publications.This progress covers most aspects of PRS application in PP,including patterns of global spatial distribution and temporal dynamics,specific PRS technologies,phenotypic research fields,working environments,species,and traits.Subsequently,we demonstrate how to link PRS to multi-omics studies,including how to achieve multi-dimensional PRS data acquisition and processing,how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance,and how to link PP to multi-omics association analysis.Finally,we identify three future perspectives for PRS-based PP:(1)strengthening the spatial and temporal consistency of PRS data,(2)exploring novel phenotypic traits,and(3)facilitating multi-omics communication.
基金supported by National Key R&D Program of China(2018YFC1704300)National Natural Science Foundation of China(81730107,81973883)+6 种基金Shanghai Municipal Science and Technology Major Project(2017SHZDZX01)Shanghai Scientific Research Project(17401971100)Shanghai TCM Medical Center of Chronic Disease(2017ZZ01010)Three Years Action to Accelerate the Development of Traditional Chinese Medicine Plan(ZY(2018-2020)-CCCX-3003)the Program for Innovative Research Team of Ministry of Education of China(IRT1270)the Program for Innovative Research Team of Ministry of Science and Technology of China(2015RA4002)Sanming Project of Medicine in Shenzhen(SZSM201808072).
文摘The systematicness of phenomics and Traditional Chinese Medicine(TCM)enable these two disciplines to interlink with each other.This article discussed the similarity in theory and application between TCM and phenomics and illustrates their respective advantages in diagnosis and treatment of diseases,forming a new discipline eventually.Chinese medicine phe-nomics(Chinmedphenomics)is built on classic TCM,combined with phenomics technology,and the development of which needs the mega cohort with TCM syndrome and the characteristics of precision medicine as well as multi-disciplinary coop-eration,which is personalized,precise and promising,providing unique scientific insights into understanding human health.
文摘Background:The advancement of genomics has progressed in lightning speed over the past two decades.Numerous large-scale genome sequencing initiatives were announced,along with the rise of the holistic precision medicine approach.However,the field of genomic medicine has now come to a bottleneck since genomic-phenomic interactions are not fully comprehended due to the complexity of the human systems biology and environmental influence,hence the emergence of human phenomics.Results:This review attempts to provide an overview of the potential advantages of investigating the human phenomics of indigenous populations and the challenges ahead.Conclusion:We believe that the indigenous populations serve as an ideal model to excavate our understanding of genomic-environmental-phenomics interactions.
基金This work was supported by National Key Project of China(2016YFA0502201 and 2017YFA0700404)Standard Technology Management Project(2013811)+1 种基金the State Administration for Market Regulation,National Science and Technology Basic Condition Platform project(APT2001)Natural Science Foundation of Shenzhen(JCYJ20190808150009605).
文摘Phenomics explores the complex interactions among genes,epigenetics,symbiotic microorganisms,diet,and environmental exposure based on the physical,chemical,and biological characteristics of individuals and groups.Increasingly efficient and comprehensive phenotyping techniques have been integrated into modern phenomics-related research.Multicolor flow cytometry technology provides more measurement parameters than conventional flow cytometry.Based on detailed descriptions of cell phenotypes,rare cell populations and cell subsets can be distinguished,new cell phenotypes can be discovered,and cell apoptosis characteristics can be detected,which will expand the potential of cell phenomics research.Based on the enhancements in multicolor flow cytometry hardware,software,reagents,and method design,the present review summarizes the recent advances and applications of multicolor flow cytometry in cell phenomics,illuminating the potential of applying phenomics in future studies.
基金supported by the STI2030-Major Projects(2021ZD0200900 to Y.G.Y.)"Light of West China" Program of the Chinese Academy of Sciences(xbzg-zdsys-202302 to Y.G.Y.)
文摘The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with primates.In recent years,significant advances have facilitated tree shrew studies,including the determination of the tree shrew genome,genetic manipulation using spermatogonial stem cells,viral vector-mediated gene delivery,and mapping of the tree shrew brain atlas.However,the limited availability of tree shrews globally remains a substantial challenge in the field.Additionally,determining the key questions best answered using tree shrews constitutes another difficulty.Tree shrew models have historically been used to study hepatitis B virus(HBV)and hepatitis C virus(HCV)infection,myopia,and psychosocial stress-induced depression,with more recent studies focusing on developing animal models for infectious and neurodegenerative diseases.Despite these efforts,the impact of tree shrew models has not yet matched that of rodent or NHP models in biomedical research.This review summarizes the prominent advancements in tree shrew research and reflects on the key biological questions addressed using this model.We emphasize that intensive dedication and robust international collaboration are essential for achieving breakthroughs in tree shrew studies.The use of tree shrews as a unique resource is expected to gain considerable attention with the application of advanced techniques and the development of viable animal models,meeting the increasing demands of life science and biomedical research.
基金supported by the National Key Research and Development Program of China(2016YFD0100101-18,2020YFD1000904-1-3)the National Natural Science Foundation of China(31601216,31770397)Fundamental Research Funds for the Central Universities(2662019QD053,2662020ZKPY017)。
文摘With the rapid development of genetic analysis techniques and crop population size,phenotyping has become the bottleneck restricting crop breeding.Breaking through this bottleneck will require phenomics,defined as the accurate,high-throughput acquisition and analysis of multi-dimensional phenotypes during crop growth at organism-wide levels,ranging from cells to organs,individual plants,plots,and fields.Here we offer an overview of crop phenomics research from technological and platform viewpoints at various scales,including microscopic,ground-based,and aerial phenotyping and phenotypic data analysis.We describe recent applications of high-throughput phenotyping platforms for abiotic/biotic stress and yield assessment.Finally,we discuss current challenges and offer perspectives on future phenomics research.
基金supported by the National Natural Science Foundation of China(32072980)Key Research and Development Projects in Tibet(XZ202001ZY0016N,XZ201902NB02,XZNKY-2019-C-053)。
文摘Fish morphological phenotypes are important resources in artificial breeding,functional gene mapping,and population-based studies in aquaculture and ecology.Traditional morphological measurement of phenotypes is rather expensive in terms of time and labor.More importantly,manual measurement is highly dependent on operational experience,which can lead to subjective phenotyping results.Here,we developed 3DPhenoFish software to extract fish morphological phenotypes from three-dimensional(3D)point cloud data.Algorithms for background elimination,coordinate normalization,image segmentation,key point recognition,and phenotype extraction were developed and integrated into an intuitive user interface.Furthermore,18 key points and traditional 2D morphological traits,along with 3D phenotypes,including area and volume,can be automatically obtained in a visualized manner.Intuitive fine-tuning of key points and customized definitions of phenotypes are also allowed in the software.Using 3DPhenoFish,we performed high-throughput phenotyping for four endemic Schizothoracinae species,including Schizopygopsis younghusbandi,Oxygymnocypris stewartii,Ptychobarbus dipogon,and Schizothorax oconnori.Results indicated that the morphological phenotypes from 3DPhenoFish exhibited high linear correlation(>0.94)with manual measurements and offered informative traits to discriminate samples of different species and even for different populations of the same species.In summary,we developed an efficient,accurate,and customizable tool,3DPhenoFish,to extract morphological phenotypes from point cloud data,which should help overcome traditional challenges in manual measurements.3DPhenoFish can be used for research on morphological phenotypes in fish,including functional gene mapping,artificial selection,and conservation studies.3DPhenoFish is an open-source software and can be downloaded for free at https://github.com/lyh24k/3DPhenoFish/tree/master.
基金The authors wish to thank Menachem Moshelion for useful discussions.This work is supported by National Natural Science Foundation(NSFC)of China(Grant No.31772299)NSFC-Israeli Science Foundation(ISF)joint project(Grant No.31861143044)National Program for Support of Top-Notch Young Professionals(to P.X.).
文摘Phenomics is a new branch of science that provides high-throughput quantification of plant and animal traits at systems level.The last decade has witnessed great successes in high-throughput phenotyping of numerous morphological traits,yet major challenges still exist in precise phenotyping of physiological traits such as transpiration and photosynthesis.Due to the highly dynamic nature of physiological traits in responses to the environment,appropriate selection criteria and efficient screening systems at the physiological level for abiotic stress tolerance have been largely absent in plants.In this review,the current status of phenomics techniques was briefly summarized in horticultural plants.Specifically,the emerging field of high-throughput physiology-based phenotyping,which is referred to as“physiolomics”,for drought stress responseswas highlighted.In addition to analyzing the advantages of physiology-based phenotyping overmorphology-based approaches,recent examples that applied high-throughput physiological phenotyping to model and non-model horticultural plants were revisited and discussed.Based on the collective findings,we propose that high-throughput,non-destructive,and automatic physiological assays can and should be used as routine methods for phenotyping stress response traits in horticultural plants.
