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Review
. 2021 Nov;134(11):3495-3533.
doi: 10.1007/s00122-021-03890-3. Epub 2021 Jul 21.

Salt tolerance in rice: seedling and reproductive stage QTL mapping come of age

Affiliations
Review

Salt tolerance in rice: seedling and reproductive stage QTL mapping come of age

Rakesh Kumar Singh et al. Theor Appl Genet. 2021 Nov.

Abstract

Reproductive stage salinity tolerance is most critical for rice as it determines the yield under stress. Few studies have been undertaken for this trait as phenotyping was cumbersome, but new methodology outlined in this review seeks to redress this deficiency. Sixty-three meta-QTLs, the most important genomic regions to target for enhancing salinity tolerance, are reported. Although rice has been categorized as a salt-sensitive crop, it is not equally affected throughout its growth, being most sensitive at the seedling and reproductive stages. However, a very poor correlation exists between sensitivity at these two stages, which suggests that the effects of salt are determined by different mechanisms and sets of genes (QTLs) in seedlings and during flowering. Although tolerance at the reproductive stage is arguably the more important, as it translates directly into grain yield, more than 90% of publications on the effects of salinity on rice are limited to the seedling stage. Only a few studies have been conducted on tolerance at the reproductive stage, as phenotyping is cumbersome. In this review, we list the varieties of rice released for salinity tolerance traits, those being commercially cultivated in salt-affected soils and summarize phenotyping methodologies. Since further increases in tolerance are needed to maintain future productivity, we highlight work on phenotyping for salinity tolerance at the reproductive stage. We have constructed an exhaustive list of the 935 reported QTLs for salinity tolerance in rice at the seedling and reproductive stages. We illustrate the chromosome locations of 63 meta-QTLs (with 95% confidence interval) that indicate the most important genomic regions for salt tolerance in rice. Further study of these QTLs should enhance our understanding of salt tolerance in rice and, if targeted, will have the highest probability of success for marker-assisted selections.

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Conflict of interest statement

On behalf of all authors, the corresponding author states that there is no conflict of interest to declare that are relevant to the content of this article.

Figures

Fig. 1
Fig. 1
Mechanism of salt movement in rice and comparison of time taken by Na+ to reach the flag leaf after salinization with (a) no leaf pruning and (b) when only top two leaves are left. Red arrows indicate the movement of Na+ from the root zone towards the flag leaf
Fig. 2
Fig. 2
Chromosome locations of QTLs for salt tolerance in rice from mapping populations of different genetic backgrounds are distributed in all 12 chromosomes
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits
Fig. 3
Fig. 3
Chromosome-wise consensus meta-QTLs based on 567 QTLs from 46 studies for salinity-related traits

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