Back

Physiological and genetic analysis of tomato from two cultivars differing in potassium deficiency resistance

Jiang, J.; Wang, X.; Zhang, H.; Li, T.; Liu, X.

2021-05-06 genetics
10.1101/2021.05.06.442937 bioRxiv
Show abstract

Potassium (K) is one of the essential nutrients for tomato. Potassium deficiency will limit tomato growth and yield. So improving the low-K+ (LK) resistance of tomato seems important. Two tomato cultivars (JZ18 and JZ34) differing in LK resistance were obtained to analyze the plant demonstration difference under LK treatment. According to the results, JZ34 showed lower accumulation of ROS, less membrane damage and higher antioxidant enzyme activity after LK treatment. Besides, JZ34 also keeps higher K+/Na+ content, higher Ca2+ and Mg2+ content than JZ18 in both shoots and roots. Our genetic analysis revealed that the two additive-dominance-epistasis major genes plus additive-dominance polygene genetic model (E-1) was the optimum model associated with LK resistance based on root trait. The major QTL intervals were finally obtained by the bulked segregant sequencing (BSA-seq) analysis, which were 2.38 Mb at the end of chromosome 4 and 1.38 Mb at the chromosome 6. This is consistent with the analysis of the genetic model. A total of 8 genes were selected in the two candidate regions, which exhibited close related to ion and antioxidant signaling. These findings provided the inheritance pattern and foundation for further molecular mechanisms study of tomato LK resistance.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 14%
12.9%
Similar papers in this journal
2
Frontiers in Plant Science
○ 256 papers in training set
Top 0.7%
9.8%
Similar papers in this journal
3
Journal of Experimental Botany
◐ 219 papers in training set
Top 0.9%
7.4%
Similar papers in this journal
4
Frontiers in Genetics
○ 230 papers in training set
Top 0.6%
4.4%
Similar papers in this journal
5
Scientific Reports
○ 3612 papers in training set
Top 24%
4.1%
Similar papers in this journal
6
Agronomy
○ 18 papers in training set
Top 0.2%
3.6%
7
G3 Genes|Genomes|Genetics
◐ 351 papers in training set
Top 1%
3.3%
8
Plant Molecular Biology
○ 20 papers in training set
Top 0.2%
3.2%
9
eLife
● 5828 papers in training set
Top 41%
2.5%
50% of probability mass above
10
BMC Genomics
○ 406 papers in training set
Top 3%
2.5%
11
Heliyon
○ 152 papers in training set
Top 2%
2.4%
12
Theoretical and Applied Genetics
○ 49 papers in training set
Top 0.4%
2.2%
13
Gene
○ 46 papers in training set
Top 0.6%
2.2%
14
International Journal of Molecular Sciences
○ 494 papers in training set
Top 6%
2.2%
15
PeerJ
◐ 308 papers in training set
Top 5%
1.8%
16
Plant Communications
○ 36 papers in training set
Top 0.6%
1.5%
17
BMC Plant Biology
○ 57 papers in training set
Top 0.9%
1.5%
18
Molecular Biology Reports
○ 21 papers in training set
Top 0.5%
1.4%
19
Plant Science
○ 31 papers in training set
Top 0.7%
1.4%
20
Plant Direct
○ 95 papers in training set
Top 2%
1.1%
21
Physiologia Plantarum
○ 39 papers in training set
Top 1.0%
1.1%
22
Journal of Genetics and Genomics
○ 38 papers in training set
Top 0.4%
1.1%
23
Horticulture Research
◐ 47 papers in training set
Top 0.7%
1.1%
24
Genes
○ 144 papers in training set
Top 3%
1.1%
25
G3: Genes|Genomes|Genetics
35 papers in training set
Top 0.1%
1.1%
26
The Plant Genome
○ 57 papers in training set
Top 0.8%
1.1%
27
Cell Structure and Function
● 11 papers in training set
Top 0.1%
0.9%
28
Biology
○ 45 papers in training set
Top 0.8%
0.9%
29
Plant Reproduction
○ 13 papers in training set
Top 0.2%
0.9%
30
Frontiers in Microbiology
○ 427 papers in training set
Top 8%
0.9%

"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.