Back

Mutations in OsRZF1, encoding a zinc-finger protein, causes reduced magnesium uptake in roots and translocation to shoots in rice

Kobayashi, N. I.; Takagi, H.; Yang, X.; Nishizawa-Yokoi, A.; Hoshina, T.; Oonishi, T.; Suzuki, H.; Iwata, R.; Toki, S.; Nakanishi, T. M.; Tanoi, K.

2022-06-04 plant biology
10.1101/2022.06.02.494605 bioRxiv
Show abstract

Magnesium (Mg) homeostasis is critical for maintaining many biological processes, but little information is available to comprehend the molecular mechanisms regulating Mg concentration in rice (Oryza sativa). To make up for the lack of information, we aimed to identify mutants defective in Mg homeostasis through a forward genetic approach. As a result of the screening of about 3,000 M2 seedlings mutated by ion-beam irradiation, we found a rice mutant that showed reduced Mg content in leaves and slightly increased Mg content in roots. Radiotracer 28Mg experiments showed that this mutant, named low magnesium content 1 (LMGC1), has decreased Mg2+ influx in the root and Mg2+ translocation from root to shoot. The MutMap method identified 7.4 kbp deletion in the LMGC1 genome leading to a loss of two genes. Genome editing using CRISPR-Cas9 further revealed that one of the two lost genes, a gene belonging to RanBP2-type zinc finger family, was the causal gene of the low-Mg phenotype. Considering this gene, named OsRZF1, has never been reported to be involved in ion transport, the phenotype of LMGC1 would be associated with a novel mechanism of Mg homeostasis in plants.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Plant and Cell Physiology
◐ 52 papers in training set
Top 0.1%
18.1%
Similar papers in this journal
2
Journal of Experimental Botany
◐ 219 papers in training set
Top 0.3%
14.8%
Similar papers in this journal
3
Plant, Cell & Environment
○ 78 papers in training set
Top 0.2%
9.5%
Similar papers in this journal
4
Frontiers in Plant Science
○ 256 papers in training set
Top 1%
6.6%
Similar papers in this journal
5
Plant Physiology
◐ 238 papers in training set
Top 1%
6.6%
Similar papers in this journal
50% of probability mass above
6
Plant Direct
○ 95 papers in training set
Top 0.4%
6.1%
7
The Plant Journal
○ 215 papers in training set
Top 1%
4.2%
8
New Phytologist
○ 346 papers in training set
Top 3%
3.2%
9
Physiologia Plantarum
○ 39 papers in training set
Top 0.4%
3.0%
10
Environmental and Experimental Botany
○ 12 papers in training set
Top 0.1%
3.0%
11
eLife
● 5828 papers in training set
Top 39%
2.7%
12
Plant Science
○ 31 papers in training set
Top 0.4%
2.3%
13
Plant Physiology and Biochemistry
○ 20 papers in training set
Top 0.5%
1.6%
14
Planta
○ 18 papers in training set
Top 0.5%
1.3%
15
Plant Molecular Biology
○ 20 papers in training set
Top 0.6%
1.1%
16
Plant Communications
○ 36 papers in training set
Top 0.7%
1.1%
17
Molecular Plant
○ 39 papers in training set
Top 0.9%
1.1%
18
Journal of Integrative Plant Biology
○ 13 papers in training set
Top 0.3%
1.1%
19
Plant Stress
○ 12 papers in training set
Top 0.5%
1.0%
20
Scientific Reports
○ 3612 papers in training set
Top 69%
1.0%
21
Journal of Agricultural and Food Chemistry
● 15 papers in training set
Top 0.6%
0.8%
22
Plant Cell Reports
○ 17 papers in training set
Top 0.7%
0.8%
23
PLOS ONE
● 5266 papers in training set
Top 60%
0.8%
24
Plants
○ 43 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.