| RRC ID |
85024
|
| 著者 |
Koyama Y, Nasu M, Matsuoka Y.
|
| タイトル |
f4-statistics-based ancestry profiling and convolutional neural network phenotyping shed new light on the structure of genetic and spike shape diversity in Aegilops tauschii Coss.
|
| ジャーナル |
Proc Jpn Acad Ser B Phys Biol Sci
|
| Abstract |
Aegilops tauschii Coss., a progenitor of bread wheat, is an important wild genetic resource for breeding. The species comprises three genetically defined lineages (TauL1, TauL2, and TauL3), each displaying distinctive phenotypes in various agronomic traits, including spike shape. In the present work, we studied the relationship between population structure and spike shape variation patterns using a collection of 249 accessions. f4-statistics-based ancestry profiling confirmed the previously identified lineages and revealed a genetic component derived from TauL3 in the genomes of some southern Caspian and Transcaucasus TauL1 and TauL2 accessions. Spike shape variation patterns were analyzed using a convolutional neural network-based approach, trained on green and dry spike image datasets. This analysis showed that spike shape diversity is structured according to lineages and demonstrated that the lineages can be distinguished based on spike shape. The implications of these findings for the origins of common wheat and the intraspecific taxonomy of Ae. tauschii are discussed.
|
| 公開日 |
2025-5-21
|
| DOI |
10.2183/pjab.101.023
|
| PMID |
40399064
|
| MeSH |
Aegilops* / anatomy & histology
Aegilops* / genetics
Convolutional Neural Networks
Genetic Variation*
Neural Networks, Computer*
Phenotype
|
| IF |
3.0
|
| リソース情報 |
| コムギ |
KU-2109
KU-2113
KU-2115
KU-2116
KU-2120
KU-2121
KU-2131
KU-2132
KU-2133
KU-2136 |
