| Literature DB >> 24987291 |
Xuekun Zhang1, Guangyuan Lu1, Weihua Long2, Xiling Zou1, Feng Li1, Takeshi Nishio3.
Abstract
Water deficit imposed by either drought or salinity brings about severe growth retardation and yield loss of crops. Since Brassica crops are important contributors to total oilseed production, it is urgently needed to develop tolerant cultivars to ensure yields under such adverse conditions. There are various physiochemical mechanisms for dealing with drought and salinity in plants at different developmental stages. Accordingly, different indicators of tolerance to drought or salinity at the germination, seedling, flowering and mature stages have been developed and used for germplasm screening and selection in breeding practices. Classical genetic and modern genomic approaches coupled with precise phenotyping have boosted the unravelling of genes and metabolic pathways conferring drought or salt tolerance in crops. QTL mapping of drought and salt tolerance has provided several dozen target QTLs in Brassica and the closely related Arabidopsis. Many drought- or salt-tolerant genes have also been isolated, some of which have been confirmed to have great potential for genetic improvement of plant tolerance. It has been suggested that molecular breeding approaches, such as marker-assisted selection and gene transformation, that will enhance oil product security under a changing climate be integrated in the development of drought- and salt-tolerant Brassica crops.Entities:
Keywords: Brassica; drought; genetic study; salinity; tolerance
Year: 2014 PMID: 24987291 PMCID: PMC4031111 DOI: 10.1270/jsbbs.64.60
Source DB: PubMed Journal: Breed Sci ISSN: 1344-7610 Impact factor: 2.086
Reported methods and indices for drought tolerance in Brassica species
| Method or indicator | Species | Developmental stage | Traits | Drought regime | Literature |
|---|---|---|---|---|---|
| Biomass and water potential | Seedling | Biomass, water content, osmotic potentials | Greenhouse | ||
| DSI | Mature | Seed yield and component traits | Experimental field | ||
| LS, PSS, RVI | Germination | Biological and biophysical traits | Petri dish, 10% | ||
| Principal component, clustering, subordinate function analysis | Flowering | Morphological and agronomic traits | Rain shelter | ||
| Leaf wilting index (LWI) | Seedling | Biological and physiological traits | Pots in rain shelter | ||
| TDM, LAI, RGR, CGR | Whole stages | Physiological growth indices | Field |
DSI, drought susceptibility index, which is calculated as (1 − As/Ai)/(1 − Bs/Bi), where As and Ai are traits for a given genotype measured under drought-stressed and irrigated conditions, respectively, and Bs and Bi are traits averaged across all genotypes measured under drought and irrigated conditions, respectively.
RVI, relative vigor index, which is calculated as (Cs × Ds)/(Ci × Di), where Cs and Ci are lengths of seedlings under drought-stressed and irrigated conditions, respectively, and Ds and Di are the percentage of surviving seedlings under drought and irrigated conditions, respectively. LS, length of seedlings (from root to leaf). PSS, percentage of seedlings surviving after drought stress.
LWI = (1 − E/F) × 100, where E is the number of wilting leaves and F is total number of leaves.
TDM, total dry matter of 10 plants. LAI, leaf area index, which is defined as the one-sided green leaf area per unit ground surface area in broad leaf canopies. RGR, relative growth rate. CGR, crop growth rate. Crop growth rate is a measure of the increase in mass over a period of time.
The increase can be plotted as a logarithmic or exponential curve. The CGR is the slope of the curve, while RGR is the slope of the curve that represents logarithmic growth over a period of time.
Fig. 1Evaluation of drought tolerance for Brassica napus at germination stage. Uniformly germinated seeds (2 d) were transferred into petri dishes, which contained 3 layers of filter paper soaked with 10 ml of 10% polyethylene glycol 6000 (PEG6000) solution to simulate drought stress (10% PEG) or water as a control (CK), and allowed for additional 7 d of growth. Biological traits were then recorded to determine the tolerance level of each genotype (Yang ).
Summary of drought- and/or salt-tolerant-associated genes mentioned in this review
| Species | Genes | Encoding protein | Tolerant to | Literature |
|---|---|---|---|---|
| Ethylene-responsive factors | Drought and salt | |||
| Dehydration response element binding protein | Drought, salt and freezing | |||
| Transcriptional regulator members in GRAS family | Drought | |||
| Membrane-binding proteins for Ca2+ | Drought | |||
| Farnesyl transferase | Drought | |||
| β-subunit of Farnesyl transferase | Drought | |||
| Plasma membrane-bound Na+/H+ antiports | Salt | |||
| Na+ transporter | Salt | |||
| Vacuolar Na+/H+ antiporter | Salt | |||
| Choline oxidase | Salt | |||
| Late-embryogenesis abundant proteins in group 4 | Salt | |||
| Glutamylcysteine synthetase | Salt |
Fig. 2Comparison of QTLs mapped using different populations for salt tolerance in Arabidopsis. The QTLs in RIL populations Ler-0 × Col-4 (black) were detected by Quesada , those of Sha × Col-0 (green) and Sha × Ler (purple) were by Galpaz and Reymond (2010), and those of Col × Ler(blue) and Cvi × Ler(red) were by DeRose-Wilson and Gaut (2011).