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High frequency of phenotypic deviations in

Metadata Updated: September 6, 2025

Background The moss Physcomitrella patens is an attractive model system for plant biology and functional genome analysis. It shares many biological features with higher plants but has the unique advantage of an efficient homologous recombination system for its nuclear DNA. This allows precise genetic manipulations and targeted knockouts to study gene function, an approach that due to the very low frequency of targeted recombination events is not routinely possible in any higher plant.

      Results
      As an important prerequisite for a large-scale gene/function correlation study in this plant, we are establishing a collection of Physcomitrella patens transformants with insertion mutations in most expressed genes. A low-redundancy moss cDNA library was mutagenised in E. coli using a derivative of the transposon Tn1000. The resulting gene-disruption library was then used to transform Physcomitrella. Homologous recombination of the mutagenised cDNA with genomic coding sequences is expected to target insertion events preferentially to expressed genes. An immediate phenotypic analysis of transformants is made possible by the predominance of the haploid gametophytic state in the life cycle of the moss. Among the first 16,203 transformants analysed so far, we observed 2636 plants ( = 16.2%) that differed from the wild-type in a variety of developmental, morphological and physiological characteristics.


      Conclusions
      The high proportion of phenotypic deviations and the wide range of abnormalities observed among the transformants suggests that mutagenesis by gene-disruption library transformation is a useful strategy to establish a highly diverse population of Physcomitrella patens mutants for functional genome analysis.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date July 24, 2025
Metadata Updated Date September 6, 2025

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date July 24, 2025
Metadata Updated Date September 6, 2025
Publisher National Institutes of Health
Maintainer
NIH
Identifier https://healthdata.gov/api/views/9yqu-qeat
Data First Published 2025-07-14
Data Last Modified 2025-09-06
Category NIH
Public Access Level public
Bureau Code 009:25
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 1d67cd78-436b-45b0-a0eb-b31e8ebd70b2
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://healthdata.gov/d/9yqu-qeat
Program Code 009:033
Source Datajson Identifier True
Source Hash f9988e29fe59cf32469dcff85ca25b3da3fb7b96bf4110bd2f53e4a2fa611f52
Source Schema Version 1.1

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