Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis
Plants adapt seed traits in response to different environmental triggers, supporting the survival of the next generation. To elucidate the mechanistic understanding of such adaptations it is important to characterize the distributions of seed traits by phenotyping seeds on an individual scale and to...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1539424/full |
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| _version_ | 1849310550040772608 |
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| author | Daniel Klasen Andreas Fischbach Viktor Sydoruk Johannes Kochs Jonas Bühler Robert Koller Gregor Huber |
| author_facet | Daniel Klasen Andreas Fischbach Viktor Sydoruk Johannes Kochs Jonas Bühler Robert Koller Gregor Huber |
| author_sort | Daniel Klasen |
| collection | DOAJ |
| description | Plants adapt seed traits in response to different environmental triggers, supporting the survival of the next generation. To elucidate the mechanistic understanding of such adaptations it is important to characterize the distributions of seed traits by phenotyping seeds on an individual scale and to correlate these traits with corresponding plant properties. Here we introduce a seed-to-plant-tracking pipeline which enables automated handling and high precision phenotyping of Arabidopsis seeds as well as germination detection and early growth quantification of emerging plants. It includes previously published measurement platforms (phenoSeeder, Growscreen), which were improved for very small seeds. We demonstrate the performance of the pipeline by comparing seeds from two consecutive generations of elevated temperature during flowering with control seeds. Relative standard deviation of repeated seed mass measurements was reduced to 0.2%. We identified an increase in seed mass, volume, length, width, height, and germination time as well as a darkening of the seeds under the treatment. A correlation analysis revealed relationships between seed and plant traits, e.g., a highly significant negative correlation between seed brightness and germination time, and a positive correlation between seed mass and early growth rate, but no correlation between time of emergence and morphometric seed traits (e.g., mass, volume). Thus, the seed-to-plant tracking provides the basis for investigating the mechanism of seed and plant trait variation and transgenerational inheritance. |
| format | Article |
| id | doaj-art-01a009503b964d5e8f9ff1dabf28fa7d |
| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-01a009503b964d5e8f9ff1dabf28fa7d2025-08-20T03:53:42ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-04-011610.3389/fpls.2025.15394241539424Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of ArabidopsisDaniel KlasenAndreas FischbachViktor SydorukJohannes KochsJonas BühlerRobert KollerGregor HuberPlants adapt seed traits in response to different environmental triggers, supporting the survival of the next generation. To elucidate the mechanistic understanding of such adaptations it is important to characterize the distributions of seed traits by phenotyping seeds on an individual scale and to correlate these traits with corresponding plant properties. Here we introduce a seed-to-plant-tracking pipeline which enables automated handling and high precision phenotyping of Arabidopsis seeds as well as germination detection and early growth quantification of emerging plants. It includes previously published measurement platforms (phenoSeeder, Growscreen), which were improved for very small seeds. We demonstrate the performance of the pipeline by comparing seeds from two consecutive generations of elevated temperature during flowering with control seeds. Relative standard deviation of repeated seed mass measurements was reduced to 0.2%. We identified an increase in seed mass, volume, length, width, height, and germination time as well as a darkening of the seeds under the treatment. A correlation analysis revealed relationships between seed and plant traits, e.g., a highly significant negative correlation between seed brightness and germination time, and a positive correlation between seed mass and early growth rate, but no correlation between time of emergence and morphometric seed traits (e.g., mass, volume). Thus, the seed-to-plant tracking provides the basis for investigating the mechanism of seed and plant trait variation and transgenerational inheritance.https://www.frontiersin.org/articles/10.3389/fpls.2025.1539424/fullautomated phenotypingArabidopsis thalianaseedearly vigorgerminationtrait distribution |
| spellingShingle | Daniel Klasen Andreas Fischbach Viktor Sydoruk Johannes Kochs Jonas Bühler Robert Koller Gregor Huber Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis Frontiers in Plant Science automated phenotyping Arabidopsis thaliana seed early vigor germination trait distribution |
| title | Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis |
| title_full | Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis |
| title_fullStr | Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis |
| title_full_unstemmed | Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis |
| title_short | Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis |
| title_sort | seed to plant tracking automated phenotyping of seeds and corresponding plants of arabidopsis |
| topic | automated phenotyping Arabidopsis thaliana seed early vigor germination trait distribution |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1539424/full |
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