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词条 Phenomics
释义

  1. Clinical Applications

      Plant Sciences  

  2. Standards, Methods, Tools, and Instrumentation

  3. Research Coordination and Communities

  4. See also

  5. References

  6. Further reading

Phenomics is the systematic study of phenotypes [1]. As such, it is a transdisciplinary area of research that involves biology, data sciences, engineering and other fields. Phenomics is concerned with the measurement of phenomes where a phenome is the set of phenotypes (physical and biochemical traits) that can be produced by a given organism over the course of development and in response to genetic mutation and environmental influences.[2] Phenomics concepts are used in functional genomics, pharmaceutical research, metabolic engineering, agricultural research, and increasingly in phylogenetics.[3]

One major area of effort involves improving, both qualitatively and quantitatively, the capacity to measure phenomes.

Clinical Applications

Plant Sciences

In plant sciences, phenomics research occurs in both field and controlled environments. Field phenomics encompasses the measurement of phenotypes that occur in both cultivated and natural conditions, whereas controlled environment phenomics research involves the use of glass houses, growth chambers, and other systems where growth conditions can be manipulated. The [https://terraref.org/ TERRA-REF] Gantry in Maricopa, Arizona is a platform developed to measure field phenotypes, and the [https://www.genomes2fields.org/ Maize Genomes to Fields Initiative] is an example of a large-scale, distributed field phenomics project across many environments and years. Controlled environment systems include the [https://enviratron.iastate.edu/ Enviratron] at [https://www.iastate.edu/ Iowa State University], the [https://www.youtube.com/watch?v=psYu--xECDU Plant Cultivation Hall] under construction at [https://www.ipk-gatersleben.de/en/ IPK], and the various [https://www.lemnatec.com/ LemnaTec] platforms at the [https://www.danforthcenter.org/ Donald Danforth Plant Science Center], the [https://www.unl.edu/ University of Nebraska - Lincoln], and elsewhere.

New journals in the general area of plant phenomics are beginning to crop up, including [https://dl.sciencesocieties.org/publications/tppj The Plant Phenome Journal] (TPPJ) (first issue released in 2018) and [https://www.prnewswire.com/news-releases/aaas-announces-plant-phenomics-promoted-in-collaboration-with-nanjing-agricultural-university-as-the-second-journal-in-new-science-partner-journal-program-300698531.html Plant Phenomics] (now under development).

Standards, Methods, Tools, and Instrumentation

A [https://www.miappe.org/ Minimal Information About a Plant Phenotyping Experiment] (MIAPPE) standard is available and in use among many researchers collecting and organizing plant phenomics data. Emerging analysis methods exist, including a diverse set of software packages in computer vision available via [https://plantcv.danforthcenter.org/ PlantCV]. Many research groups are focused on developing systems using the Breeding API ([https://github.com/plantbreeding/API BrAPI]), a Standardized RESTful Web Service API Specification for communicating Plant Breeding Data.

The [https://www.plantphenomics.org.au/ Australian Plant Phenomics Facility] (APPF), an initiative of the Australian government, has developed a number of new instruments for comprehensive and fast measurements of phenotypes in both the lab and the field. The NAPPN maintains a list of plant phenomics facilities in North America.

Research Coordination and Communities

The [https://www.plant-phenotyping.org/ International Plant Phenotyping Network] (IPPN) is an organization that seeks to enable exchange of knowledge, information, and expertise across many disciplines involved in plant phenomics by providing a network linking members, platform operators, users, research groups, developers, and policy makers. Regional partners include, the [https://eppn2020.plant-phenotyping.eu/ European Plant Phenotyping Network] (EPPN), the North American Plant Phenotyping Network (NAPPN), and others.

See also

  • PhenomicDB, a database combining phenotypic and genetic data from several species
  • Phenotype microarray
  • Human Phenotype Ontology, a formal ontology of human phenotypes

References

1. ^{{cite journal | last1 = Bilder | first1 = R.M. | last2 = Sabb | first2 = F.W. | last3 = Cannon | first3 = TD | last4 = London | first4 = ED | last5 = Jentsch | first5 = JD | last6 = Parker | first6 = DS | last7 = Poldrack | first7 = RA | last8 = Evans | first8 = C | last9 = Freimer | first9 = NB | doi = 10.1016/j.neuroscience.2009.01.027 | issue = 1 | journal = Neuroscience | pages = 30–42 | title = Phenomics: The systematic study of phenotypes on a genome-wide scale | volume = 164 | year = 2009 | pmid = 19344640| pmc = 2760679 }}
2. ^{{cite journal |last1=Houle |first1=David |last2=Govindaraju |first2=Diddahally R. |last3=Omholt |first3=Stig |title=Phenomics: the next challenge |journal=Nature Reviews Genetics |volume=11 |issue=12 |year=2010 |pages=855–866 |doi=10.1038/nrg2897 |pmid=21085204}}
3. ^{{cite journal | last1=O'Leary | first1=M. A. | last2=Bloch | first2=J. I. | last3=Flynn | first3=J. J. | last4=Gaudin | first4=T. J. | last5=Giallombardo | first5=A. | last6=Giannini | first6=N. P. | last7=Goldberg | first7=S. L. | last8=Kraatz | first8=B. P. | last9=Luo | first9=Z.-X. | last10=Meng | first10=J. | last11=Ni | first11=X. | last12=Novacek | first12=M. J. | last13=Perini | first13=F. A. | last14=Randall | first14=Z. | last15=Rougier | first15=G. W. | last16=Sargis | first16=E. J. | last17=Silcox | first17=M. T. | last18=Simmons | first18=N. B. | last19=Spaulding | first19=M. | last20=Velazco | first20=P. M. | last21=Weksler | first21=M. | last22=Wible | first22=J. R. | last23=Cirranello | first23=A. L. | year=2013 | title=The placental mammal ancestor and the post-K-Pg radiation of placentals | journal=Science | volume=332 | pages=662–667 }}

Further reading

{{refbegin}}
  • {{cite journal | last1 = Schilling | first1 = C.H. | last2 = Edwards | first2 = J.S. | last3 = Palsson | first3 = B.O. | doi = 10.1021/bp9900357 | issue = 3 | journal = Biotechnology Progress | pages = 288–295 | title = Toward metabolic phenomics: analysis of genomic data using flux balances | volume = 15 | year = 1999 | pmid = 10356245}}
  • {{cite journal | last = Gerlai | first = R. | authorlink = Robert Gerlai | doi = 10.1016/S0166-2236(02)02250-6 | issue = 10 | journal = Trends in Neurosciences | pages = 506–509 | title = Phenomics: fiction or the future? | volume = 25 | year = 2002 | pmid = 12220878}}
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3 : Branches of biology|Omics|Phenomics

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