Back

Natural variation in rice mitogen-activated protein kinase 4 contributes to increased photosynthetic rate under field conditions

Ueda, T.; Adachi, S.; Sugimoto, K.; Maeda, M. H.; Yamanouchi, U.; Mizobuchi, R.; Taniguchi, Y.; Hirasawa, T.; Yamamoto, T.; Tanaka, J.

2026-03-09 plant biology
10.64898/2026.03.06.710232 bioRxiv
Show abstract

Improving rice (Oryza sativa L.) yield requires a balanced enhancement of both sink size and source capacity. While many QTLs for sink size have been identified, only a few are known for source capacity, which is essential for achieving high yield. Here we identified qHP10 as a major QTL for increased photosynthetic rate by using chromosome segment substitution lines derived from a cross between the high-yielding indica cultivar Takanari and the average-yielding japonica cultivar Koshihikari. High-resolution mapping combined with CRISPR/Cas9-induced mutagenesis revealed that the causative gene underlying qHP10 is Mitogen-Activated Protein Kinase 4 (OsMPK4). A near-isogenic line carrying the OsMPK4Takanari allele (NIL-OsMPK4) had a 15-25% higher photosynthetic rate than Koshihikari. NIL-OsMPK4 also had higher stomatal conductance than Koshihikari but similar stomatal pore size and density, indicating that increased stomatal aperture increases photosynthetic rate. This enhancement is likely attributable to the down-regulation of OsMPK4 expression, which increases stomatal conductance and thus promotes CO2 uptake. Our findings demonstrate that OsMPK4 is a promising genetic target for increasing source capacity and, potentially, rice yield through molecular breeding. (175 words)

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
The Plant Genome
53 papers in training set
Top 0.1%
9.7%
2
Theoretical and Applied Genetics
46 papers in training set
Top 0.1%
8.8%
3
Plant Direct
81 papers in training set
Top 0.1%
8.8%
4
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.4%
6.1%
5
Frontiers in Plant Science
240 papers in training set
Top 2%
6.1%
6
Plant Science
25 papers in training set
Top 0.1%
6.1%
7
New Phytologist
309 papers in training set
Top 1%
6.1%
50% of probability mass above
8
Journal of Experimental Botany
195 papers in training set
Top 1%
4.1%
9
The Plant Journal
197 papers in training set
Top 1%
3.8%
10
Scientific Reports
3102 papers in training set
Top 40%
3.4%
11
Crop Science
18 papers in training set
Top 0.1%
2.5%
12
Plant Physiology
217 papers in training set
Top 2%
2.5%
13
Plant and Cell Physiology
31 papers in training set
Top 0.1%
2.0%
14
Genetics
225 papers in training set
Top 2%
2.0%
15
Plant Biotechnology Journal
56 papers in training set
Top 0.6%
1.8%
16
PLOS ONE
4510 papers in training set
Top 56%
1.6%
17
Gene
41 papers in training set
Top 1.0%
1.6%
18
International Journal of Molecular Sciences
453 papers in training set
Top 10%
1.3%
19
Plant Physiology and Biochemistry
17 papers in training set
Top 0.3%
1.3%
20
G3: Genes, Genomes, Genetics
222 papers in training set
Top 0.6%
1.2%
21
Plant Molecular Biology
18 papers in training set
Top 0.2%
1.2%
22
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 39%
1.2%
23
Frontiers in Genetics
197 papers in training set
Top 7%
1.2%
24
Plant And Cell Physiology
16 papers in training set
Top 0.3%
0.9%
25
The Plant Phenome Journal
14 papers in training set
Top 0.2%
0.9%
26
BMC Genomics
328 papers in training set
Top 5%
0.9%
27
BMC Plant Biology
47 papers in training set
Top 0.9%
0.8%
28
Planta
15 papers in training set
Top 0.5%
0.7%
29
Environmental and Experimental Botany
11 papers in training set
Top 0.8%
0.7%
30
Plants
39 papers in training set
Top 2%
0.7%