Crop genetic diversity uncovers metabolites, elements, and gene networks predicted to be associated with high plant biomass yields in maize. Issue 3 (4th July 2022)
- Record Type:
- Journal Article
- Title:
- Crop genetic diversity uncovers metabolites, elements, and gene networks predicted to be associated with high plant biomass yields in maize. Issue 3 (4th July 2022)
- Main Title:
- Crop genetic diversity uncovers metabolites, elements, and gene networks predicted to be associated with high plant biomass yields in maize
- Authors:
- Hajheidari, Mohsen
Gerlach, Nina
Dorau, Kristof
Omidbakhshfard, M Amin
Pesch, Lina
Hofmann, Jörg
Hallab, Asis
Ponce-Soto, Gabriel Y
Kuhalskaya, Anastasiya
Medeiros, David B
Bourceret, Amélia
Usadel, Björn
Mayer, Jochen
Fernie, Alisdair
Mansfeldt, Tim
Sonnewald, Uwe
Bucher, Marcel - Editors:
- Nelson, Karen E
- Abstract:
- Abstract: Rapid population growth and increasing demand for food, feed, and bioenergy in these times of unprecedented climate change require breeding for increased biomass production on the world's croplands. To accelerate breeding programs, knowledge of the relationship between biomass features and underlying gene networks is needed to guide future breeding efforts. To this end, large-scale multiomics datasets were created with genetically diverse maize lines, all grown in long-term organic and conventional cropping systems. Analysis of the datasets, integrated using regression modeling and network analysis revealed key metabolites, elements, gene transcripts, and gene networks, whose contents during vegetative growth substantially influence the build-up of plant biomass in the reproductive phase. We found that S and P content in the source leaf and P content in the root during the vegetative stage contributed the most to predicting plant performance at the reproductive stage. In agreement with the Gene Ontology enrichment analysis, the cis -motifs and identified transcription factors associated with upregulated genes under phosphate deficiency showed great diversity in the molecular response to phosphate deficiency in selected lines. Furthermore, our data demonstrate that genotype-dependent uptake, assimilation, and allocation of essential nutrient elements (especially C and N) during vegetative growth under phosphate starvation plays an important role in determining plantAbstract: Rapid population growth and increasing demand for food, feed, and bioenergy in these times of unprecedented climate change require breeding for increased biomass production on the world's croplands. To accelerate breeding programs, knowledge of the relationship between biomass features and underlying gene networks is needed to guide future breeding efforts. To this end, large-scale multiomics datasets were created with genetically diverse maize lines, all grown in long-term organic and conventional cropping systems. Analysis of the datasets, integrated using regression modeling and network analysis revealed key metabolites, elements, gene transcripts, and gene networks, whose contents during vegetative growth substantially influence the build-up of plant biomass in the reproductive phase. We found that S and P content in the source leaf and P content in the root during the vegetative stage contributed the most to predicting plant performance at the reproductive stage. In agreement with the Gene Ontology enrichment analysis, the cis -motifs and identified transcription factors associated with upregulated genes under phosphate deficiency showed great diversity in the molecular response to phosphate deficiency in selected lines. Furthermore, our data demonstrate that genotype-dependent uptake, assimilation, and allocation of essential nutrient elements (especially C and N) during vegetative growth under phosphate starvation plays an important role in determining plant biomass by controlling root traits related to nutrient uptake. These integrative multiomics results revealed key factors underlying maize productivity and open new opportunities for efficient, rapid, and cost-effective plant breeding to increase biomass yield of the cereal crop maize under adverse environmental factors. … (more)
- Is Part Of:
- PNAS nexus. Volume 1:Issue 3(2022)
- Journal:
- PNAS nexus
- Issue:
- Volume 1:Issue 3(2022)
- Issue Display:
- Volume 1, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 1
- Issue:
- 3
- Issue Sort Value:
- 2022-0001-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-07-04
- Subjects:
- systems biology -- metabolome -- ionome -- gene networks -- biomass
Science -- Periodicals
505 - Journal URLs:
- https://academic.oup.com/pnasnexus/issue ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/pnasnexus/pgac068 ↗
- Languages:
- English
- ISSNs:
- 2752-6542
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22958.xml