AvERF73 positively regulates waterlogging tolerance in kiwifruit by participating in hypoxia response and mevalonate pathway

Waterlogging stress is one of the greatest environmental threats to kiwifruit growth and development.ERF-VII proteins have been demonstrated to play pivotal roles in regulating plant tolerance to waterlogging.Nevertheless,the genome-wide role of ERF-VII in kiwifruit waterlogging stress tolerance remains unclear.Here,we report the function and regulatory network of an ERF-VII transcription factor located to the nucleus,Av ERF73,in kiwifruit waterlogging tolerance.Overexpression of Av ERF73 in Arabidopsis thaliana and A.chinensis cv.Hongyang enhanced waterlogging tolerance in transgenic plants.Furthermore,we performed transcriptome analysis(RNA-seq)and DNA affinity purification sequencing(DAP-seq)to explore the regulatory mechanism of Av ERF73.RNA-seq coupled with DAP-seq showed that Av ERF73 might directly activate Ac NAC022 involved in the“cellular response to hypoxia”process and Ac HMGS1 involved in the mevalonate pathway to respond to waterlogging,which were also confirmed by a dual-luciferase reporter assay.Based on our results,we propose a putative working model for controlling waterlogging tolerance by Av ERF73 in kiwifruit.

Advances in the study of waterlogging tolerance in plants

Waterlogging is one of the major abiotic stresses threatening crop yields globally.Under waterlogging stress,plants suffer from oxidative stress,heavy metal toxicity and energy deficiency,leading to metabolic disorders and growth inhibition.On the other hand,plants have evolved waterlogging-tolerance or adaptive mechanisms,including morphological changes,alternation of respiratory pathways,antioxidant protection and endogenous hormonal regulation.In this review,recent advances in studies on the effects of waterlogging stress and the mechanisms of waterlogging tolerance in plants are presented,and the genetic differences in waterlogging tolerance among plant species or genotypes within a species are illustrated.We also summarize the identified QTLs and key genes associated with waterlogging tolerance.

Melatonin and dopamine alleviate waterlogging stress in apples by recruiting beneficial endophytes to enhance physiological resilience

Melatonin and dopamine can potentially prevent waterlogging stress in apples.The current study investigated the mechanism by which melatonin and dopamine alleviate apple waterlogging stress.This study demonstrated that melatonin and dopamine alleviated waterlogging by removing reactive oxygen species(ROS),and that the nitric oxide(NO)content and nitrate reductase(NR)activity were significantly correlated.Melatonin and dopamine were also found to recruit different candidate beneficial endophytes(melatonin:Novosphingobium,Propionivibrio,and Cellvibrio;dopamine:Hydrogenophaga,Simplicispira,Methyloversatilis,Candidatus_Kaiserbacteria,and Humicola),and these endophytes were significantly and positively correlated with plant growth.Network analyses showed that melatonin and dopamine significantly affected the endophytic bacterial and fungal communities under waterlogging stress.The metabolomic results showed that melatonin and dopamine led to waterlogging resistance by upregulating the abundance of beneficial substances such as amino acids,flavonoids,coumarins,and organic acids.In addition,melatonin and dopamine regulated the physicochemical properties of the soil,which altered the endophyte community and affected plant growth.The co-occurrence network demonstrated close and complex relationships among endophytes,metabolites,soil,and the plants.Our results demonstrate that melatonin and dopamine alleviate waterlogging stress in apples by recruiting beneficial endophytes to enhance physiological resilience.This study provides new insights into how melatonin and dopamine alleviate stress and a theoretical basis for synergistic beneficial microbial resistance to waterlogging stress.

SiRAP2-12,a Positive Regulatory Factor,Effectively Improves the Waterlogging Tolerance of Foxtail Millet(Setaria italica)

Foxtail millet(Setaria italica)growth was inhibited because of waterlogging stress,which has caused yield reduc-tion.ERF family plays an important role to plant adversity tolerance.In our study,we obtained 19,819 differential expressed genes(DEGs)between the two treatments based on the RNA-seq sequencing of foxtail millet of water-logging stress.Furthermore,a total of 28 ERF family members were obtained,which have a complete open read-ing frame.We studied the evolution and function of SiERF family and how they affected the waterlogging tolerance.It was found that SiERF1A/B/C(GenBank ID:OR775217,OR775219,OR775218)and SiRAP2-12(GenBank ID:OR775216)have similar functions to the known waterlogging tolerance genes of other plants.Among them,the SiRAP2-12 expression was obviously significantly up-regulated in foxtail millet after 5d water-logging stress.After SiRAP2-12 was silenced,the activity of defense enzymes in millet decreased significantly.In details,superoxide dismutase(SOD),catalase(CAT)and peroxidase(POD),the osmotic regulator proline(Pro),and the activity of the anaerobic respiratory enzyme alcohol dehydrogenase(ADH)content were decreased by 78.61%,29.52%,79.95%,19.41%and 54.77%,respectively.In contrast,the relative electrical conductivity contents(REC),malondialdehyde(MDA),and hydrogen peroxide(H_(2)O_(2))of the foxtail millet subjected to virus-induced gene silencing clearly increased by 1.03-fold,36.09%,and 15.21%,respectively.The content of sodium(Na^(+))in the SiRAP2-12-silenced foxtail millet also increased,but that of potassium(K^(+))decreased.Interestingly,we found that ethylene content was significantly reduced.Further,the SiAOC1 expression,an essential gene for ethylene synthesis,was inhibited in SiRAP2-12-silenced foxtail millet after waterlogging stress.Taken together,we hypothesized that SiRAP2-12 might be a positive regulator of millet tolerance to waterlogging stress.

Characterization and Genetic Diversity of Tea(Camellia sinensis(L.)O.Kuntze)Genotypes for Waterlogging Tolerance

Tea estates in Bangladesh are currently experiencing frequent waterlogging stress due to heavy rainfall or flooding under changing climate scenarios.The development of waterlogging-tolerant tea cultivars is,therefore,crucial for sustainable tea production with increased yield in waterlogging-affected areas.In this study,a total of two hundred tea genotypes were screened for waterlogging tolerance based on yield and quality potentials.Tea genotypes were raised at the nursery and evaluated with 13 traits at the seedling and mature stages.Descriptive and multivariate analysis of the recorded data of measured traits were performed for clustering the studied genotypes in relation to their yield and quality potential.The 200 tea genotypes were categorized into six clusters and the measured traits were classified into two groups.Cluster-5 comprised 46 closely related tea genotypes whereas other clusters-Cluster-1,2,3,4,and 6 contained 39,20,24,29,and 42 genotypes,respectively.PCA-biplot showed that the first two principal components(PC 1 and PC 2)cumulatively described 56.9%of total variations.From the genetic diversity analysis,the characteristics like green leaf yield(GLY),plucking points(PP),spreading of bush frame(SBF),plucking interval(PI),dormancy period(DR),black tea quality score(QSB),fermentation rate(SF)and number of pubescence(NP)exhibited high to moderate heritability,indicating to consider these traits as selection criteria for tea breeding program.The trait GLY showed a strong positive correlation with PP,and SBF and a negative association with PI and DR.The key quality trait,QSB had a positive correlation with SF and NP.Based on these studied descriptors,a total of 11 tea genotypes were selected,found potential for waterlogging tolerance,and can be considered for varietal improvement programs.

Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network

The remaining useful life prediction of rolling bearing is vital in safety and reliability guarantee.In engineering scenarios,only a small amount of bearing performance degradation data can be obtained through accelerated life testing.In the absence of lifetime data,the hidden long-term correlation between performance degradation data is challenging to mine effectively,which is the main factor that restricts the prediction precision and engineering application of the residual life prediction method.To address this problem,a novel method based on the multi-layer perception neural network and bidirectional long short-term memory network is proposed.Firstly,a nonlinear health indicator(HI)calculation method based on kernel principal component analysis(KPCA)and exponential weighted moving average(EWMA)is designed.Then,using the raw vibration data and HI,a multi-layer perceptron(MLP)neural network is trained to further calculate the HI of the online bearing in real time.Furthermore,The bidirectional long short-term memory model(BiLSTM)optimized by particle swarm optimization(PSO)is used to mine the time series features of HI and predict the remaining service life.Performance verification experiments and comparative experiments are carried out on the XJTU-SY bearing open dataset.The research results indicate that this method has an excellent ability to predict future HI and remaining life.

Improvement of the Hydroponic Growth and Waterlogging Tolerance of Petunias by the Introduction of vhb Gene

The coding sequence of Vitreoscilla hemoglobin (vhb) was cloned with PCR technique from Vitreoscilla stercoraria Pringsheim. The plant expression vector with vhb gene under the control of CaMV 35S promoter was constructed and used in the transformation of Petunia hybrida Vilm by the Agrobacterium mediated procedure. The results of PCR amplification and Southern hybridization indicated that the vhb gene had been integrated into the petunia genome and the vhb gene expression had been detected by RT-PCR amplification. In hydroponic culture the transgenic petunias grew much better than non-transgenic controls. For further analysis of hypoxia tolerance of transgenic petunia, the petunia plants with vhb gene were submerged into liquid MS medium. The transgenic plants survived in hypoxic condition and grew out of the liquid surface in a few weeks, while non-transgenic plants were still submerged and suffocated in culture solution without ability to grow out of liquid medium in submersed culture for four to five weeks. The vhb gene transformed petunia plants had been planted and tested in a simulated flooding condition, and showed obvious tolerance to water-logging. It seen is that hemoglobin gene from Vitreoscilla might have the potential use in molecular breeding for the improvement of plant resistance to hypoxia and flooding.

Effects of Waterlogging in Different Growth Stages on Nitrogen Uptake, Distribution, and Utilization of Cotton

[Objective] This study aimed to investigate the effects of waterlogging in different growth stages on nitrogen （N） uptake, distribution, and utilization of cotton. [Method] A pool-culture experiment in field was conducted to investigate the effects of wateriogging through comparing WL1 （waterlogging at peak squaring stage） and WL2 （waterlogging at flowering and boll-forming stage） treatments with their controls respectively. [Result] The results showed that the effect of WL1 on N uptake of cotton root was stronger than WL2. At 20 days （d） after WL1 treatment, the root biomass （RB）, N uptake （NU）, and N uptake rate （NUR） significantly decreased by 38.1%, 48.6%, and 53.0% respectively. At 20 d after WL2 treatment, the RB, NU, and NUR significantly decreased by 27.3%, 46.0%, and 44.8% respectively. More N was distributed to root and leaf after WL1 treatment, and to square, flower, and boll after WL2 treatment. N physiological use efficiency increased by 11.4% and 44.4% after WL1 and WL2 treatments respectively. Further analysis showed that the effects of WL1 on yield and its components of cotton were stronger than WL2. The boll number, boll weight, and lint yield per plant significantly reduced by 40.5%, 12.4%, and 49.5% after WL1 treatment, and significantly decreased by 23.1%, 6.9%, and 29.9% after WL2 treatment, respectively. [Conclusion] The negative effects of water- logging at peak squaring stage on N nutrition and yield of cotton were stronger than waterlogging at flowering and boll-forming stage, indicating that more attention should be paid to waterlogging at peak squaring stage and sound N management can improve cotton regrowth and reduce yield loss after waterlogging.

The Waterlogging Tolerance of Cut Rose by Field Observation and Variety Selection in Sanya

[Objective] The aim was to master waterlogging tolerance of cut rose vari-eties, and provided technical reference for promoting cut rose largely. [Method] Based on natural rainfal information from July to October in Sanya, comprehensive performance of 22 varieties were observed in two consecutive years to analyze wa-terlogging tolerance ability of cut rose at waterlogging disaster. [Result] The mortality rates of Diana, Black Magic, Eric Red and Vendela were over 15%, and Diana ’s was 25.7%. Carola, Rouge Meil and, Perfume white, Lovers ’ Meeting, Choice, Tineke, Vendela, Marina, Samantha, Golden Emblem, Asagumo, Pink Fan and Dou-ble Delight grew better and recovered quickly after the disaster, with waterlogging tolerance. [Conclusion] The waterlogging tolerance of Carola, Rouge Meil and, My Choice, Tineke, Vendela, Marina, Samantha, Golden Emblem, Asagumo, Pink Fan and Double Delight was the best, which is also true for their comprehensive perfor-mances. But the waterlogging tolerance of other major cultivars such as Black Magic, Movie Star, Tineke and Vendela was poorer.

Effects of Waterlogging Stress on Growth and Physiological Index in Cucumber Seedlings

The effects of waterlogging stress on the growth, chlorophyll and MDA content of cucumber seedlings were studied by using cucumber varieties （Cucumis sativus L. cv. Jinyan No.7） as materials. The results show that plant height, leaf number, shoot fresh weight, total root length, total projected area and total surface area of cucumber seedlings showed insignificant differences with those of the control; root fresh weight, root average diameter, total root volume were significantly higher, but the number of root tips and furcation number increased first and then reduced; the chlorophyll content of cucumber seedlings was significantly lower than that of control; MDA content was significantly higher than that of control under waterlogging stress. It was showed that the cucumber was tolerant to waterlogging stress, but the ability of waterlogging stress was limited, and the physiological was significantly hurt and photosynthesis of cucumber seedlings was significantly affected by waterlogging stress.

Changes of Antioxidative Enzymes and Lipid Peroxidation in Leaves and Roots of Waterlogging-Tolerant and Waterlogging-Sensitive Maize Genotypes at Seedling Stage

To better understand the physiological and biochemical mechanisms of waterlogging tolerance, waterlogging effects on lipid peroxidation and the activity of antioxidative enzymes were investigated in leaves and roots of two maize genotypes, HZ32 （waterlogging-tolerant） and K12 （waterlogging-sensitive）. Potted maize plants were waterlogged at the second leaf stage under glasshouse conditions. Leaves and roots were harvested 1 d before and 2, 4, 6, 8 and 10 d after the start of waterlogging treatment. Through comparing the activities of superoxide dismutase （SOD）, ascorbate peroxidase （APX）, glutathione reductase （GR）, catalase （CAT） and guaiacol peroxidase （POD） between waterlogging-tolerant and waterloggingsensitive genotype, we deduced that CAT was the most important H2O2 scavenging enzyme in leaves, while APX seemed to play a key role in roots. POD, APX, GR and CAT activities in conjunction with SOD seem to play an essential protective role in the O2^- and H2O2 scavenging process. Lipid peroxidation was enhanced significantly only in K12 （P 〈 0.001） and there was no difference （P 〉 0.05） in HZ32 up to 6 d after waterlogging stress. These results indicated that oxidative stress may play an important role in waterlogging-stressed maize plants and that the greater protection of HZ32 leaves and roots from waterlogging-induced oxidative damage results, at least in part, through the maintenance of increased antioxidant enzyme activity.

QTLs for Waterlogging Tolerance at Germination and Seedling Stages in Population of Recombinant Inbred Lines Derived from a Cross Between Synthetic and Cultivated Wheat Genotypes

Waterlogging is a widespread limiting factor for wheat production throughout the world. To identify quantitative trait loci （QTLs） associated with waterlogging tolerance at early stages of growth, survival rate （SR）, germination rate index （GRI）, leaf chlorophyll content index （CCI）, root length index （RLI）, plant height index （PHI）, root dry weight index （RDWI）, shoot dry weight index （SDWI）, and total dry weight index （DWI） were assessed using the International Triticeae Mapping Initiative （ITMI） population W7984/Opata85. Significant and positive correlations were detected for all traits in this population except RLI. A total of 32 QTLs were associated with waterlogging tolerance on all chromosomes except 3A, 3D, 4B, 5A, 5D, 6A, and 6D. Some of the QTLs explained large proportions of the phenotypic variance. One of these is the QTL for GRI on 7A, which explained 23.92% of the phenotypic variation. Of them, 22 alleles from the synthetic hexaploid wheat W7984 contributed positively. These results suggested that synthetic hexaploid wheat W7984 is an important genetic resource for waterlogging tolerance in wheat. These alleles conferring waterlogging tolerance at early stages of growth in wheat could be utilized in wheat breeding for improving waterlogging tolerance.

Screening Methods for Waterlogging Tolerance at Maize (Zea mays L.) Seedling Stage

Waterlogging strongly affects agronomic performance of maize （Zea mays L.）. In order to investigate the suitable selection criteria of waterflooding tolerant genotypes, and identify the most susceptible stage and the best continuous treatment time to waterlogging, 20 common maize inbred lines were subjected to successive artificial waterflooding at seedling stage, and waterlogging tolerance coefficient （WTC） was used to screen waterflooding tolerant genotypes. In addition, peroxidase （POD） activities and malondialdehyde （MDA） contents were measured for 6 of 20 lines. The results showed that the second leaf stage （V2） was the most susceptible stage, and 6 d after waterflooding was the best continuous treatment time. Dry weight （DW） of both shoots and roots of all lines were significantly reduced at 6 d time-point of waterlogging, compared to control. POD activities and MDA contents were negatively and significantly correlated, and the correlation coefficient was -0.9686 （P 〈 0.0001）. According to the results, WTC of shoot DW can be used for practical screening as a suitable index, which is significantly different from control and waterlogged plants happened 6 d earlier. Furthermore, leaf chlorosis, MDA content and POD activities could also be used as reference index for material screening. The implications of the results for waterlogging-tolerant material screening and waterlogging-tolerant breeding have been discussed in maize.

Comparison of transcriptomes undergoing waterlogging at the seedling stage between tolerant and sensitive varieties of Brassica napus L.

RNA sequencing of the sensitive GH01 variety of Brassica napus L. seedling roots under 12 h of waterlogging was compared with previously published data of the ZS9 tolerant variety to unravel genetic mechanisms of waterlogging tolerance beyond natural variation. A total of 2 977 genes with similar expression patterns and 17 genes with opposite expression patterns were identiifed in the transcription proifles of ZS9 and GH01. An additional 1 438 genes in ZS9 and 1 861 genes in GH01 showed strain speciifc regulation. Analysis of the overlapped genes between ZS9 and GH01 revealed that waterlogging tolerance is determined by ability to regulate genes with similar expression patterns. Moreover, differences in both gene expression proifles and abscisic acid (ABA) contents between the two varieties suggest that ABA may play some role in waterlogging tolerance. This study identiifes a subset of candidate genes for further functional analysis.

Effects of Waterlogging on Photosynthesis and Antioxidant Enzyme Activities of Six Barley Genotypes with Different Waterlogging Tolerance

A field experiment was carried out to study genotypic difference in the effect of waterlogging on photosynthesis, chlorophyll content and antioxidative enzyme activities in barley. Waterlogging caused a rapid decline in net photosynthetic rate (Pn) and stomatal conductance (gs), and little change in chlorophyll content during early days of the treatment. A dramatic increase in malondialdehyde (MDA) content, superoxide dismutase (SOD) and peroxidase (POD) in waterlogged plants in the early days of the experiment was found, indicating the occurrence of oxidative stress in barley plants exposed to waterlogging. There was a highly significant difference in the changed extent of all these parameters among genotypes. Franklin and Yongjiahong Liuleng Damai, which were relatively sensitive to waterlogging in terms of growth, photosynthesis and chlorophyll content, accumulated much more MDA than the other two relatively tolerant genotypes (93-3143 and QS). After removal of waterlogging, the genotypic difference became much greater in recovering of these examined parameters. Yongjiahong Liuleng Damai showed higher recovery, while Franklin only recovered to 50% of the control at the 14 day after waterlogging removal. It may be concluded that it is the difference in anti-oxidative stress caused by waterlogging that account for the major difference in photosynthesis among barley genotypes.

Combining Ability and Genetic Effects of Germination Traits of Brassica napus L.Under Waterlogging Stress Condition

Cross combinations from six rapeseed cultivars and lines were evaluated under waterlogging stress condition in order to understand the genetic mechanism of waterlogging tolerance of Brassica napus L.and provide reasonable improvement programs.There were six germination traits investigated on combining ability and heritability using complete diallel crossing method designed for 30 combinations from those six cultivars and lines.The traits included relative root length,stem length,fresh weight per plant,survival rate,electrical conductivity,and vigor index.After flooding treatment,the six traits of parents and F1 were analyzed.The general combining ability（GCA） and special combining ability（SCA） of germination traits were analyzed using Griffing I method.Among 30 cross combinations,the GCA was significantly different among six waterlogging resistance traits.The SCA of these traits was significantly different except the SCA of electrical conductivity.As a representative trait of waterlogging tolerance in rapeseed,relative vigor index had the highest narrow heritability and relatively low broad heritability.The cultivars Zhongshuang 9 and P79 had higher tolerance potential to waterlogging stress.It can be concluded that combining ability and genetic effects of relative vigor index during germination stage could be used to identify the waterlogging tolerance of rapeseed in breeding program.

Assessment of Waterlogging Risk in Lixiahe Region of Jiangsu Province Based on AVHRR and MODIS Image

Four images of 1991 AVHRR, 2003 and 2007 MODIS were used to extract waterlogging inundated water of three years, and three inundated water maps were overlaid to estimate waterlogging affected frequency. Based on wa-terlogging affected frequency, waterlogging hazard of pixel scale was assessed. According to the weighed score of area percentage of different waterlogging affected frequency in 13 counties/cities of Lixiahe region, waterlogging hazard rank of every county/city was assessed. Waterlogging affected frequency map and 1km×1km grid landuse map were used to assess waterlogging risk of pixel scale; and then waterlogging risk rank of every county/city was assessed by the similar method by which waterlogging hazard rank of every county/city was assessed. High risk region is located mainly in core zone of Lixiahe hinterland, medium risk region is adjacent to high risk region, and low risk region is located in the most outlying area of risk zone and mainly in south to middle part of Lixiahe region. Xinghua and Gaoyou belong to high risk city, Jiangyan belongs to medium risk city, and the other counties/cities have low or lower waterlogging risk. The method of assessing waterlogging risk in this paper is simple and applicable. This paper can provide guidance for the waterlogging risk analysis in broader area of Huaihe River Basin.

Differences in Chlorophyll Fluorescence Parameters, Yield and Its Components Between Different Genotypes of Wheat Under Waterlogging Conditions at Anthesis

Waterlogging is one of the most factors limiting wheat production in the middle and lower reaches of the Yangtze River Plain of China,especially in the middle and late stages of wheat.Wheat varieties‘Jingmai102’(JM102)and‘Yangmai158’(YM158)were planted to study the dynamic changes of photosynthetic characteristics in flag leaf and the influence of waterlogging at anthesis on the yield and components and dry matter accumulation and remobilization of winter wheat in above ground.The results showed that the SPAD values slightly increased at 1 day after anthesis(d),and then kept decreasing with the increase of waterlogging time.The decrease in SPAD value was more remarkably in YM158 than that in JM102.As for the chlorophyll fluorescence parameters,the photochemical efficiency(Fv/Fm),potential activity(Fv/Fo)of photosystem II,and electronic transmission(Fm/Fo)on photosystem II increased first and then decreased with the increase of waterlogging days after anthesis.The quantum ratio of heat dissipation(Fo/Fm)had a tendency opposite to that of Fv/Fm,and the change range of JM102 was lower than that of YM158.For the grain yield and components,waterlogging at anthesis decreased the dry weight of single stem,grain yield,1 000-kernel weight,spikelet per panicle,and harvest index,and the reduction of JM102 was smaller than that of YM158.As for the accumulation and remobilization of dry matter,the accumulation of dry matter after anthesis decreased significantly under waterlogging condition(WL),and the reduction of JM102 was smaller than that of YM158.In conclusion,waterlogging at anthesis significantly affected the photosynthetic characteristics,yield and components in both varieties,but different varieties exhibited different tolerances to waterlogging stress and YM158 was more sensitive to water stress than JM102.

Waterlogging risk assessment based on self-organizing map(SOM)artificial neural networks:a case study of an urban storm in Beijing

Due to rapid urbanization, waterlogging induced by torrential rainfall has become a global concern and a potential risk affecting urban habitant's safety. Widespread waterlogging disasters haveoccurred almost annuallyinthe urban area of Beijing, the capital of China. Based on a selforganizing map(SOM) artificial neural network(ANN), a graded waterlogging risk assessment was conducted on 56 low-lying points in Beijing, China. Social risk factors, such as Gross domestic product(GDP), population density, and traffic congestion, were utilized as input datasets in this study. The results indicate that SOM-ANNis suitable for automatically and quantitatively assessing risks associated with waterlogging. The greatest advantage of SOM-ANN in the assessment of waterlogging risk is that a priori knowledge about classification categories and assessment indicator weights is not needed. As a result, SOM-ANN can effectively overcome interference from subjective factors,producing classification results that are more objective and accurate. In this paper, the risk level of waterlogging in Beijing was divided into five grades. The points that were assigned risk grades of IV or Vwere located mainly in the districts of Chaoyang, Haidian, Xicheng, and Dongcheng.

Waterlogging stress in cotton:Damage, adaptability, alleviation strategies, and mechanisms

Over the last few decades,waterlogging stress has increasingly threatened global cotton production.Waterlogging results in reduced soil oxygen,impairing the growth and development of this valuable crop and often resulting in severe yield loss or crop failure.However,as cotton has an indeterminate growth habit,it is able to adapt to waterlogging stress by activating three mechanisms:the escape,quiescence,and self-regulating compensation mechanisms.The escape mechanism includes accelerated growth,formation of adventitious roots,and production of aerenchyma.The quiescence mechanism involves reduced biomass accumulation and energy dissipation via physiological,biochemical,and molecular events.The self-regulation compensation mechanism allows plants to exploit their indeterminate growth habit and compensatory growth ability by accelerating growth and development following relief from waterlogging stress.We review how the growth and development of cotton is impaired by waterlogging,focusing on the three strategies associated with tolerance and adaptation to the stress.We discuss agronomic measures and prospects for mitigating the adverse effects of waterlogging stress.