| Literature DB >> 26380074 |
Damar López-Arredondo1, Sandra Isabel González-Morales2, Elohim Bello-Bello2, Gerardo Alejo-Jacuinde2, Luis Herrera2.
Abstract
Achieving sustainable agriculture and producing enough food for the increasing global population will require effective strategies to cope with harsh environments such as water and nutrient stress, high temperatures and compacted soils with high impedance that drastically reduce crop yield. Recent advances in the understanding of the molecular, cellular and epigenetic mechanisms that orchestrate plant responses to abiotic stress will serve as the platform to engineer improved crop plants with better designed root system architecture and optimized metabolism to enhance water and nutrients uptake and use efficiency and/or soil penetration. In this review we discuss such advances and how the generated knowledge could be used to integrate effective strategies to engineer crops by gene transfer or genome editing technologies.Entities:
Keywords: abiotic stress; bacterial genes; biotechnology; gene overexpression; grain yield; plant development; plant nutrition
Year: 2015 PMID: 26380074 PMCID: PMC4560252 DOI: 10.12688/f1000research.6538.1
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Figure 1. Main targets for engineering crops for harsh environments
Engineering DRO1, AlaAT, PSTOL1, PTXD/Phi and the PHR1-Pi-SPX complex represent interesting approaches with the potential to improve crops for harsh environments. In addition, the identification and manipulation of genes involved in cell-wall components synthesis and stress-responsive epigenetic modifiers has great potential for developing optimal root systems and the improvement of plant responses to diverse stimuli. The simultaneous manipulation of some of these elements could bring robust effects to develop crops with high-yield performance, with a consequent decrease in P- and N-fertilizers input. C, cortex; E, endodermis; E´, epidermis; P, pericycle; VT, vascular tissue.
Transgenic approaches to improve tolerance to drought and other abiotic stresses.
Numerous genes have been shown to improve drought-tolerance in transgenic crops. In addition, some of these approaches have improved productivity and tolerance to other abiotic stresses, such as cold, heat, and high salinity. The gene source and the type of expression system—constitutive (C), inducible (I) or tissue specific (TS)—are indicated in each case. Positive and negative phenotypic alterations are also specified when data are available (GR, growth retardation; IB, increase biomass; PE, pleiotropic effect; SA, sensitivity to ABA; SOx, increased sensitivity to oxidative stress). Gene sources: Arabidopsis thaliana (At), Arthrobacter globiformis (Ag), Bacillus subtilis (Bs), Cynodon dactylon x C. transvaalensis (Cdt), Escherichia coli (Ec), Glycine max (Gm), Gossypium arboreum (Ga), Hordeum vulgare (Hv), Macrotyloma uniflorum (Mu), Malus domestica (Md), Medicago truncatula (Mt), Nicotiana tabacum (Nt), Oryza sativa (Os), Pisum sativum (Ps), Solanum habrochaites (Sh), Solanum lycopersicum (Sl), Solanum tuberosum (St), Thellungiella halophile (Th), Triticum aestivum (Ta), Vigna aconitifolia (Va). ND, not data.
| Functional
| Gene
| Gene | Transformed
| Tolerance | Genetic source | Expression | Productivity | Field evaluation | Phenotypic
| Reference | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Salt | Cold | Heat | Others | ||||||||||
|
|
| DREB1A | Wheat | At | I |
| |||||||
| CBF3/
| Rice | ✔ | At | C |
| ||||||||
| OsDREB1 | Rice | ✔ | ✔ | Os | C | GR |
| ||||||
| AtDREB1A | Peanut | ✔ | At | I |
| ||||||||
| OsDREB2A | Rice | ✔ | Os | I |
| ||||||||
| TaDREB2 | Wheat | Ta | I |
| |||||||||
| TaDREB2 | Barley | ✔ | Ta | C |
| ||||||||
| TaDREB3 | Wheat | Ta | I |
| |||||||||
| TaDREB3 | Barley | ✔ | Ta | C | GR |
| |||||||
| HvCBF4 | Rice | ✔ | ✔ | Hv | C |
| |||||||
| TaERF3 | Wheat | ✔ | Ta | C |
| ||||||||
| OsERF4a | Rice | Os | C, I | SA |
| ||||||||
| SlERF5 | Tomato | ✔ | Sl | C |
| ||||||||
| AP37 | Rice | ✔ | ✔ | Os | C | ✔ | ✔ |
| |||||
| AP59 | Rice | ✔ | Os | C | ✔ |
| |||||||
| TSRF1 | Rice | ✔ | Sl | C |
| ||||||||
| JERF1 | Rice | Sl | C |
| |||||||||
|
| SlAREB1 | Tomato | ✔ | Sl | C |
| |||||||
| AtAREB1
| Soybean | At | C |
| |||||||||
| ABF3 | Rice | At | C |
| |||||||||
| GmbZIP1 | Wheat | Gm | C |
| |||||||||
| OsbZIP16 | Rice | Os | C | SA |
| ||||||||
| OsbZIP23 | Rice | ✔ | Os | C | SA |
| |||||||
| OsbZIP46
| Rice | ✔ | Os | C | SA |
| |||||||
| OsbZIP72 | Rice | Os | C | SA |
| ||||||||
|
| SNAC1 | Rice | ✔ | Os | C | ✔ | SA |
| |||||
| SNAC1 | Wheat | ✔ | Os | C | ✔ | SA |
| ||||||
| SNAC1 | Cotton | ✔ | Os | C | ✔ |
| |||||||
| MuNAC4 | Peanut | Mu | C |
| |||||||||
| OsNAC5 | Rice | Os | C, TS | ✔ | ✔ |
| |||||||
| OsNAC6 | Rice | ✔ | ✔ | Os | C | GR |
| ||||||
| OsNAC9 | Rice | Os | C, TS | ✔ | ✔ |
| |||||||
| OsNAC10 | Rice | ✔ | ✔ | Os | C, TS | ✔ | ✔ |
| |||||
| ONAC045 | Rice | ✔ | Os | C |
| ||||||||
| TaNAC69 | Wheat | ✔ | Ta | I | ✔ |
| |||||||
|
| ZmNF-YB2 | Maize | Zm | C | ✔ | ✔ |
| ||||||
| CdtNF-YC1 | Rice | ✔ | Cdt | C | SA |
| |||||||
|
| StMYB1R-1 | Potato | St | C |
| ||||||||
| OsMYB2 | Rice | ✔ | ✔ | Os | C | SA |
| ||||||
| OsMYB48-1 | Rice | ✔ | Os | C | SA |
| |||||||
| MdoMYB121 | Tomato and
| ✔ | ✔ | Md | C |
| |||||||
| TaPIMP1 | Wheat | ✔ | Ta | C |
| ||||||||
|
| OsWRKY11 | Rice | ✔ | Os | I |
| |||||||
| OsWRKY30 | Rice | Os | C |
| |||||||||
|
| ZFP252 | Rice | ✔ | Os | C |
| |||||||
| ZAT10 | Rice | ND | C, I | ✔ | ✔ |
| |||||||
|
| AtDREB2A,
| Peanut | ✔ | ✔ | At | C |
| ||||||
|
| OsiSAP8 | Rice | ✔ | ✔ | Os | C |
| ||||||
| WXP1 | Alfalfa | Mt | C |
| |||||||||
|
|
| OsMAPK5 | Rice | ✔ | ✔ | Os | C |
| |||||
| NPK1 | Maize | Nt | C |
| |||||||||
| DSM1 | Rice | Os | C |
| |||||||||
|
| MdCIPK6L | Tomato | ✔ | ✔ | Md | C |
| ||||||
| OsCIPK12 | Rice | Os | C |
| |||||||||
|
| OsCDPK1 | Rice | Os | C |
| ||||||||
| OsCDPK7 | Rice | ✔ | ✔ | Os | C |
| |||||||
| OsCPK4 | Rice | ✔ | Os | C |
| ||||||||
| OsCPK9 | Rice | Os | C | SA |
| ||||||||
|
| OsSIK1 | Rice | ✔ | Os | C |
| |||||||
|
|
| DSM2 | Rice | ✔ | Os | C |
| ||||||
| LOS5 | Rice | ND | C, I | ✔ | ✔ |
| |||||||
| AtLOS5 | Cotton | At | C | ✔ |
| ||||||||
| LOS5 | Soybean | At | C | ✔ | ✔ |
| |||||||
| LOS5 | Maize | At | C |
| |||||||||
|
| IPT | Peanut | ND | I | ✔ |
| |||||||
| IPT | Rice | ND | I |
| |||||||||
| IPT | Cotton | ND | I |
| |||||||||
|
| OsPIN3t | Rice | Os | C |
| ||||||||
|
|
| OsTPS1 | Rice | ✔ | ✔ | Os | C |
| |||||
| otsA and
| Rice | ✔ | ✔ | Ec | I, TS |
| |||||||
| TPS and
| Rice | ✔ | ✔ | Ec | C |
| |||||||
|
| P5CS | Wheat | Va | I |
| ||||||||
|
| mtlD | Wheat | ✔ | Ec | C |
| |||||||
|
| betA | Maize | Ec | ND | ✔ |
| |||||||
| codA | Potato | ✔ | ✔ | Ag | I |
| |||||||
| codA | Tomato | ✔ | Ag | C |
| ||||||||
|
|
| OsLEA3-1 | Rice | Os | C, I | ✔ |
| ||||||
| OsLEA3-2 | Rice | ✔ | Os | C |
| ||||||||
| HVA1 | Rice | ✔ | Hv | C | ✔ |
| |||||||
| HVA1 | Wheat | Hv | C |
| |||||||||
| HVA1 | Wheat | Hv | C | ✔ | ✔ |
| |||||||
|
| TAS14 | Tomato | ✔ | Sl | C |
| |||||||
| ShDHN | Tomato | ✔ | Sh | C |
| ||||||||
|
| GHSP26 | Cotton | Ga | C |
| ||||||||
|
| CspA and
| Maize | Ec, Bs | C | ✔ | ✔ |
| ||||||
| CspA or
| Rice | ✔ | ✔ | Ec, Bs | C | ✔ |
| ||||||
|
| NHX1 | Rice | ND | C, I | ✔ | ✔ |
| ||||||
| betA and
| Maize | Ec, Th | C | ✔ |
| ||||||||
| AVP1 | Cotton | ✔ | At | C | ✔ | ✔ |
| ||||||
|
| OsSRO1c | Rice | Os | C | SOx |
| |||||||
| MnSOD | Rice | Ps | I |
| |||||||||
Figure 2. Natural variation of Arabidopsis ecotypes in root penetration ability.
A) Col-0, Kz-9 and Ler Arabidopsis ecotypes show a wide variation in penetrating hard agar layers. Screening test was carried out using a double-phase agar system, which mimics soil compaction condition. B) Quantitative analysis of the root penetration ability expressed as the root penetration percentage (%) in reference to that of Col-0, showed by nine different Arabidopsis ecotypes. (*) indicates statistically significant differences: * P<0.05, ** P<0.01, and *** P<0.001 level; n=120 seedlings per ecotype (one-way ANOVA).