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Research Article
Xianmin Diao
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8957-4101
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Panicle architecture and grain weight, both of which are influenced by genetic and environmental factors, have significant effects on grain yield potential. Here, we used a recombinant inbred line population (RIL) of 333 lines, which were grown in 13 trials with varying environmental conditions, to identify quantitative trait loci (QTL) that control differences in 9 agronomic traits related to panicle architecture and grain yield. We find that panicle weight, grain weight per panicle, panicle length, panicle diameter, and panicle exsertion length varied across different geographical locations. QTL mapping revealed 159 QTL for nine traits, of these, 34 QTL were identified in 2 to 12 environments, suggesting that the genetic control of panicle architecture in foxtail millet is sensitive to photoperiod or other environmental factors. 88 QTL controlling different traits formed 34 co-located QTL clusters, including the triple QTL cluster qPD9.2/qPL9.5/qPEL9.3, the genomic region of which was detected by 23 times in 13 environments. Several candidate genes were identified in the genomic intervals of multi-environmental QTL or co-located QTL clusters, including Seita.2G388700, Seita.3G136000, Seita.4G185300, Seita.5G241500, Seita.5G243100, Seita.9G281300, and Seita.9G342700. Among these, Seita.9G342700 was the candidate gene of qPD9.2/qPL9.5/qPEL9.3 QTL cluster, it is homologous to rice OsMADS56, which encodes a putative MADS-box transcription factor that determines inflorescence architecture in rice. These results not only provided a basis for further fine mapping, functional studies and marker-assisted selection of panicle architecture related traits in foxtail millet, but also benefited comparative genomics of cereal crops.
Keywords
Setaria italica, Panicle architecture, Grain yield, QTL
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryFigures.docx
Figure S1. Phenotypic distribution and correlations of nine panicle architecture related parameters in 13 environments. The plots on the diagonal show the phenotypic distribution of each trail. The values above the diagonal are pairwise correlation coefficients between traits, and the plots below the diagonal are scatter plots of compared traits. Figure S2. Co-locations of QTL for multiple traits. qC2-1~qC2-17 were double co-located QTL clusters, qC3-1~qC3-14 were triple co-located QTL cluster, qC4 was a quadruple co-located QTL cluster, qC5-1 and qC5-2 were quintuple co-located QTL clusters.
- TableS1.xlsx
Table S1. Phenotypic variations of the RIL population and parental lines among different envrionments.
- TableS2.xlsx
Table S2. QTLs identified in this study
- TableS3.xlsx
Table S3. QTL clulsters identified for different traits.
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This preprint is under consideration at Theoretical and Applied Genetics. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Xianmin Diao
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8957-4101
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 16 Feb, 2021
No community comments so far
Editorial decision: Major revisions
On 16 Feb, 2021
First submitted
On 21 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Molecular Genetics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Panicle architecture and grain weight, both of which are influenced by genetic and environmental factors, have significant effects on grain yield potential. Here, we used a recombinant inbred line population (RIL) of 333 lines, which were grown in 13 trials with varying environmental conditions, to identify quantitative trait loci (QTL) that control differences in 9 agronomic traits related to panicle architecture and grain yield. We find that panicle weight, grain weight per panicle, panicle length, panicle diameter, and panicle exsertion length varied across different geographical locations. QTL mapping revealed 159 QTL for nine traits, of these, 34 QTL were identified in 2 to 12 environments, suggesting that the genetic control of panicle architecture in foxtail millet is sensitive to photoperiod or other environmental factors. 88 QTL controlling different traits formed 34 co-located QTL clusters, including the triple QTL cluster qPD9.2/qPL9.5/qPEL9.3, the genomic region of which was detected by 23 times in 13 environments. Several candidate genes were identified in the genomic intervals of multi-environmental QTL or co-located QTL clusters, including Seita.2G388700, Seita.3G136000, Seita.4G185300, Seita.5G241500, Seita.5G243100, Seita.9G281300, and Seita.9G342700. Among these, Seita.9G342700 was the candidate gene of qPD9.2/qPL9.5/qPEL9.3 QTL cluster, it is homologous to rice OsMADS56, which encodes a putative MADS-box transcription factor that determines inflorescence architecture in rice. These results not only provided a basis for further fine mapping, functional studies and marker-assisted selection of panicle architecture related traits in foxtail millet, but also benefited comparative genomics of cereal crops.
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryFigures.docx
Figure S1. Phenotypic distribution and correlations of nine panicle architecture related parameters in 13 environments. The plots on the diagonal show the phenotypic distribution of each trail. The values above the diagonal are pairwise correlation coefficients between traits, and the plots below the diagonal are scatter plots of compared traits. Figure S2. Co-locations of QTL for multiple traits. qC2-1~qC2-17 were double co-located QTL clusters, qC3-1~qC3-14 were triple co-located QTL cluster, qC4 was a quadruple co-located QTL cluster, qC5-1 and qC5-2 were quintuple co-located QTL clusters.
- TableS1.xlsx
Table S1. Phenotypic variations of the RIL population and parental lines among different envrionments.
- TableS2.xlsx
Table S2. QTLs identified in this study
- TableS3.xlsx
Table S3. QTL clulsters identified for different traits.
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