Abstract:Maize ear rot is a fungal disease mainly caused by Fusarium verticillioides and Fusarium graminearum， which seriously threatens national food security. With the change of climate and farming system， ear rot has become one of the most common and most harmful diseases in maize production. Large-scale identification of disease-resistant germplasm resources is conducive to solving the difficulty of breeding resistant varieties due to the lack of good disease-resistant germplasm. In this study， based on the establishment of a high-throughput resistance identification platform for maize ear rot， a rolling resistance identification strategy was adopted， that is， in the primary identification stage， a large number of germplasm resources were initially screened using a single repeat and single environment strategy， and then in secondary identification stage the highly resistant germplasm from the primary identification stage was accurately evaluated under multiple environments and years， and the susceptible germplasm was gradually eliminated. During the year 2018 to 2020， a total of 191 highly resistant germplasm was identified from 10524 maize germplasm in the primary identification stage， and a total of 59 stable resistant germplasm， including 18XDHNAM11-20， H5084 and MC303， was finally identified through the secondary identification stage. Among them，24 germplasm showed resistance to Fusarium ear rot in the five years. In terms of heterosis groups of disease-resistant germplasm， the disease-resistant germplasm was divided into 5 groups， namely， tropical-temperate introduced heterosis group， Reid group， NSS group， SS group and Huangai group， which basically covered the most important heterosis groups in China. Among them， there are 24 resistant materials came from tropical-temperate introduced heterosis group germplasm， accounting for 41% of the total materials. These resistant germplasm resources identified in this study provide important resources for ear rot resistant breeding in maize.

Abstract:In order to understand the genetic relationships among numerous materials of common wild rice in Hainan province and explore representative samples， this study used 32 pairs of SSR markers to conduct genetic diversity analysis and core germplasm construction on 2038 samples of Hainan common wild rice from 11 different cities and counties in Hainan province. The results showed that the average effective allele （Ne） was 2.479， the richness Shannon index （I） was 0.975， the Nei′s gene diversity （h） was 0.570， and the percentage of polymorphic loci was 96.27%， indicating that the genetic diversity of Hainan ordinary wild rice is very rich.There are differences in genetic diversity among Hainan common wild rice from different sources. Common wild rice from Lingao has the highest genetic diversity， while Qionghai common wild rice has the lowest genetic diversity， and its variation is mainly concentrated within the population. The analysis of population structure showed that when K=2， the Delta K value was the highest. 2038 ordinary wild rice resources from Hainan were divided into two groups. The subgroup Ⅰ has 1145 resources， which come from Haikou， Chengmai， Danzhou， Sanya， Wanning， Qionghai， Lingao， Lingshui， Ledong， and Dongfang， respectively. The subgroup Ⅱ has 893 resources， which come from Haikou， Wenchang and Chengmai， respectively.192 core germplasm of Hainan common wild rice were constructed using population first and multiple clustering methods， accounting for 9.42% of the total resources （2038）. The Shannon index （I） of the core germplasm was retained by 102.46%， and the Nei′s gene diversity （h） was retained by 104.39%， effectively reducing the genetic redundancy and duplication of genetic differences in the original germplasm. The core germplasm of Hainan common wild rice represents the genetic diversity and specificity of the original germplasm， and provides materials for the effective utilization of Hainan common wild rice resources.

Abstract:In this study， the data of 22 phenotypic traits and 3 quality traits of 708 tartary buckwheat resources were used to construct the core collection of tartary buckwheat germplasm. By comparing merits of four different combination strategies including the genetic distance， sampling method， sampling proportion and clustering method， the ‘euclidean distance + multiple cluster deviation sampling + 20% sampling proportion + maximum distance method’ was determined as the optimal sampling strategy of tartary buckwheat core collection and the core collection containing 141 tartary buckwheat resources was constructed. The mean difference percentage， variance difference percentage， range coincidence rate and variation coefficient change rate of core collection and original collection were 0，84.00%， 97.60% and 115.42%， respectively. Finally， the phenotypic and quality traits of the core collection were compared with the original germplasm. The mean value of 25 traits between core collection and original germplasm had no significant difference. The variance of core collection of 25 traits was higher than or equal to that of original germplasm， and the variance of 22 traits between core collection and original germplasm had significant difference at 0.05 leve or 0.01 level. It showed that the heterogeneity of core collection was better. t-test of Shannon-Weaver index showed that there was no significant difference between core collection and original germplasm on all traits. Both the core collection and the original germplasm had 8 principal components， and the cumulative contribution rates were 77.525% and 76.191%，respectively. The core collection germplasm was proved to represent the genetic diversity of the original germplasm， which might be useful in collection， preservation and effective utilization of tartary buckwheat germplasm resources.

Abstract:Drought is one of the primary factors affecting the growth and development of wheat. The selection of wheat germplasm with superior drought resistance is significant important for drought resistance research and the utilization of drought-resistant resources. This study conducted a three-year field evaluation from 2018 to 2021 on 373 local wheat varieties from Shanxi province， assessing their drought resistance during the adult stage. Two treatments of normal irrigation and drought stress were set up， and eight traits including plant height， number of spikes per plant， number of grains per spike， number of spikelets per spike， spike length， length of the peduncle， thousand-kernel weight， and grain yield per plant were measured. The comprehensive drought resistance evaluation was conducted using a combination of methods， including the comprehensive drought resistance coefficient （CDC）， drought resistance comprehensive evaluation value （D）， weighted drought resistance coefficient （WDC）， correlation analysis， frequency analysis， principal component analysis （PCA）， grey relational analysis， membership function analysis， cluster analysis， and stepwise regression analysis. In the drought stress treatment， the values of all eight traits were significantly reduced compared to the normal irrigation treatment. Correlation analysis revealed a certain degree of correlation among the drought resistance coefficients of the eight traits. PCA transformed the eight traits into five principal components， with a cumulative variance contribution rate of 84.6%. The ranking of Shanxi wheat local varieties based on CDC values， WDC values， and D values was generally consistent. Using D values and cluster analysis， the 373 local wheat varieties from Shanxi were classified into five categories. Stepwise regression analysis showed that the D valuss is significantly correlated with seven traits and confirmed D values as suitable drought resistance evaluation indicators. And identified 19 strong drought-resistant local wheat germplasm varieties from Shanxi， providing both material and theoretical foundation for drought-resistant wheat breeding.

Abstract:To elucidate the varietal characteristics of cotton varieties in Yangtze river region， 100 upland cotton of the national regis-tered varieties breeding from year of 2001 to 2023 were collected. Phenotypic identification was conducted for major agronomic traits， yield-related traits and fiber quality traits. It was found that the growth period was gradually shortened， the phenotypic values of yield-related traits were gradually increased， and the fiber quality was steadily improved in the cotton variety breeding in the Yangtze river region. Employing a suite of analytical methodologies， including clustering analysis， correlation analysis， principal component analysis （PCA）， and comprehensive evaluation methods were employed to study 12 key traits. The results delineated a variation coefficient range from 3.06% to 24.37% across traits， alongside a genetic diversity index spanning 0.42 to 2.05. Notably， boll number exhibited the highest variation coefficient， while seed index and boll weight displayed the highest genetic diversity index. The results of cluster analysis showed that the tested varieties were divided into three groups， representing the varieties with poor yield and quality， the varieties with low yield but high fiber quality， and the varieties with high yield but low fiber quality. Correlation analysis indicated a significant positive correlation between the growth period and most yield-related traits， a negative correlation with fiber length and uniformity. PCA revealed that the cumulative contribution rate of the first three principal components at 70.23%， highlighting boll number， fiber strength， and fiber length as major factors contributing to phenotypic variation in cotton. Comprehensive evaluation scores ranged from 0.48 to 2.29， and the top 8 and 2 early maturing germplasm resources with excellent comprehensive performance were selected. The findings contribute valuable insights into the genetic improvement of cotton， offering both theoretical and practical significance.

Abstract:Panax notoginseng is a perennial herb with long growth period and reproduction cycle. The inter-population diversity was low while the intra-population diversity among individual plants remained higher. Among them， the ginsenosides content of individual plants were significantly different among groups， providing a theoretical basis for deploying the group selection approach. In this study， 11 group populations （SL1-SL11） were constructed according to the content of five saponins （notoginsenoside R1， ginsenoside Rg1， ginsenoside Rb1， ginsenoside Re， ginsenoside Rd） in P. notoginseng. The contemporary and first generation group population were compared and analyzed base on the saponins content. In addition， the genetic diversity of populations was evaluated by using 17 pairs of polymorphic SSR markers that were identified from a total of 255239 SSR polymorphisms. Resulted from the genetic diversity of the first generation population of SL1-SL11 that were evaluated by SSR markers， the high heterozygosity （0.4583-0.6042）， low genetic differentiation （Fst=0.0447）， and high gene flow （Nm=11.6189） were observed. Although there were no significant difference in total saponin among the populations， the coefficient of variation for notoginsenoside R1 was higher than that for total content of five saponins and other monomeric saponins. The notoginsenoside R1 content in the SL8 population was significantly higher than that of other populations. Collectively， this study produced group populations using saponin content as the target trait， and evaluated their genetic diversity using SSR markers. The newly-generated population with higher notoginsenoside R1 content can serve as breeding material in breeding of Panax notoginseng.

Abstract:Through observing twelve phenotypic traits and SSR genotyping result， this study analyzed 61 local pepper varieties and 39 offspring lines from the hybrids of 'Purple Color Pepper' and 'Red Pepper 809'. The results showed that twelve traits in the two populations of local pepper varieties and innovated pepper germplasm were significantly different （P≤0.05）， with the variation coefficient of the traits ranged from 1.15%-50.02% and 3.27%-60.67%， respectively， of which in local varieties vitamin C content was detected with the highest variations. The broad-sense heritabilities arranged from 79.24%-99.23% and 87.73%-98.80%， respectively， indicating that these traits were highly inheritable. Traits differentiation coefficients between the two populations arranged from 1.30% to 48.95%， of which anthocyanin content was the trait with the most obvious differentiation， while plant height had no obvious differentiation. Correlation analysis revealed 23 pairs of traits that were significantly or extremely significantly correlated. Comprehensive evaluation through principal component analysis identified 10 specific resources. In addition， 20 SSR markers identified 68 polymorphic bands， with the polymorphism ratio of 69.39%， and the higher polymorphic loci were detected in local varieties. Based on the clustering analysis of the twelve traits and molecular markers information， these germplasms were assigned to three groups， of which group I included most local varieties， and group II included most innovated germplasms， and group III contained 'PP1122' germplasm only. ‘PP1122’ showed large leaves， vigorous fruit， purple peel and high nutrient content. The hybridization of varieties between different groups， such as 'Purple colored pepper' and 'Red pepper 809'， was able to enlarge the genetic basis of pepper germplasm， providing a reference for pepper germplasm innovation and variety genetic improvements.

Abstract:The Elymus grasses， known for their strong ecological adaptability， are a primary genetic resource for improving the quality of grasslands in the Qinghai-Tibet Plateau. This study focuses on the diversity of inflorescence branching types among Elymus species in alpine regions. It examines 76 Elymus inflorescence branching germplasm resources from different areas of the Qinghai-Tibet Plateau， measuring and analyzing the related phenotypic characteristics. The findings are as follows： （1）There is significant variation among the 76 materials， with a high diversity index across 24 traits， averaging an H′ index of 5.19. （2）In this survey， Elymus inflorescences showed only primary branching， averaging 7.03 branches per inflorescence， with a mean branching rate of 33.90%. Branches typically occur in the middle to lower part of the main inflorescence axis， with the highest variation （98.14%） in the starting point of branching on the axis. （3）Correlation analysis revealed highly significant positive correlations between the number of branches and branch rate， branch width， total length of branched spike， and total length of inflorescence. Branch rate was highly significantly positive correlated with branch width and the endpoint of the branch. The total length of the branched spike was significantly positive correlated with the total length of the inflorescence and the number of seeds on the branched spike. （4）Principal component analysis identified 4 main components， accounting for 84% of the cumulative contribution rate. The first principal component （36%） reflects the variability related to the quantity and length of branches. The second principal component （30%） reflects seed weight and distribution characteristics. The third principal component （12%）reflects variations in branch occurrence sites and overall inflorescence length. The forth principal component （6%） reflects the ratio of branch axes to inflorescence length and seed number weight density. （5）Cluster analysis categorized the 76 Elymus inflorescence branching germplasm resources into three types： less branching， more branching and balanced branching. With further phylogenetic relationships analysis based on inflorescence phenotypic characteristics categorized the 76 Elymus inflorescence branching germplasm resources into nine types： high branching， dense branching， long sparse branching， balanced branching， heavy-seeded high-yielding， medium branching， sparse branching， short low-yielding， and uniformly stable-yielding. These nine categories primarily reflect the characteristics of branching and seed yield， providing a basis for further selection of ideal inflorescence types.In summary， the 76 Elymus inflorescence branching germplasm resources show high diversity and phenotypic variation. The occurrence of branching alters the pattern of seed yield， providing a theoretical foundation for improving seed yield of Elymus grasses in alpine regions.

Abstract:Phosphorus is a limited natural resource， but the utilization rate of phosphorus fertilizer in the current season is low， and excessive application of phosphorus increases the risk of agricultural non-point source pollution. It is an important way to save phosphorus resources and protect the ecological environment to excavate the genetic characteristics of phosphorus efficiency and cultivate low phosphorus tolerance varieties in potato. The establishment of an evaluation system of low phosphorus tolerance of potato varieties （lines） based on photosynthetic phenotypic parameters can achieve rapid， non-destructive and efficient identification and selection of low phosphorus tolerance potato germplasm. A total of 20 potato varieties （lines） were cultured in normal phosphorus nutrient solution pool （1.70 mmol/L NaH₂PO₄） and low phosphorus nutrient solution pool （0.17 mmol/L NaH₂PO₄）， and the biomass， yield and photosynthetic phenotype of each cultivar were measured. The low P stress tolerance index of each index was calculated. Using the comprehensive membership function method， principal component analysis and regression analysis， the low phosphorus tolerance of each potato variety（lines） was divided， and the low phosphorus tolerance of each potato variety（lines） was comprehensively evaluated. Compared with normal P stress， the average value of yield， plant dry weight and root dry weight of potato varieties under low P stress decreased greatly， with the coefficient of variation of each index ranging from 3.24% to 132.99%. The photosynthetic parameters， such as non-photochemical quenching coefficient （qN）， open ratio of PSⅡ reaction center （qL）， and quantum yield of non-regulatory energy dissipation（?no）， were increased. The cumulative variance contribution rate of five principal components was 86.32%. The membership function method was used to calculate the comprehensive evaluation value of low phosphorus tolerance （D）， and the D value ranged from 0.3258 to 0.7702. Using multiple regression analysis method， the D value regression equation was established to predict potato low phosphorus tolerance. Five identification indexes of low phosphorus tolerance were determined by multiple regression analysis and systematic clustering was carried out. The 20 potato varieties （lines） were divided into three types： low phosphorus tolerance type， intermediate type， and low phosphorus sensitive type. Red rose， 6-1， Dianshu 1520， Lishu 6， 27-1 and Dianshu 1208 were selected as low P tolerant varieties， while 86-2 and 54-2 were poor in low P tolerance and were P sensitive varieties.

Abstract:Einkorn wheat （AA）， as the basic species of wheat， has lost some loci of the A chromosome during the evolution of bread wheat. Evaluating the genetic diversity and disease resistance level of einkorn wheat has important theoretical significance and breeding value for common wheat breeding and genetic improvement. In our study， 15 pairs of SSR primers with clear bands and high polymorphism were used to analyze the genetic diversity of 170 einkorn wheat materials， and the current epidemic stripe rust physiological race CYR34 was used for disease resistance evaluation. The results showed that 71 alleles were obtained by SSR analysis， and the average polymorphism information content of primers was 0.6540. Cluster analysis and population structure analysis showed that tested materials were divided into two groups， and the average genetic distance within the two groups was 0.4732 and 0.5404， respectively. Through evaluation of disease resistance， 19 materials with better resistance were obtained， including 3 immunity， 2 near immunity， 1 high resistance and 13 medium resistance materials， accounting for 11.17% of the tested materials. Three pairs of primers had a correlation with the resistance of einkorn wheat to stripe rust. In summary， einkorn wheat contains abundant allelic variations and stripe rust resistance genes， which has the breeding potential to improve wheat resistance to stripe rust.

Abstract:Stripe rust， caused by Puccinia striiformis f. sp. tritici （Pst）， is a global devastating fungal disease that severely affects wheat production. Exploring resistance genes and their use in breeding are the most economical and effective method for controlling stripe rust. Wudubaijianer， a wheat landrace from Longnan region， Gansu province， China， showed moderate to high resistance to stripe rust in the lifecycle， but the resistance basis remains unclear. To decipher its genetic mechanism of stripe rust resistance， the F₂ and F_2：3 populations derived from a cross between Wudubaijianer and a susceptible parent Huixianhong were inoculated with the Pst race V31/lab at the seedling stage， and were sampled for BSE-Seq （Bulked segregant exome capture sequencing）， BSR-Seq （Bulked segregant RNA-Seq） and linkage analysis. The results indicated that resistance to V31/lab in Wudubaijianer was conferred by a recessive locus， tentatively designated yrWUD. Based on BSE-Seq and BSR-Seq， 12 KASP （Kompetitive allele-specific PCR） markers were developed. The linkage analysis mapped yrWUD to a 2.6 cM genetic interval on chromosome 4AL， flanked by markers 4AL36 and 4AL11 with genetic distance of 0.9 and 1.7 cM， respectively， corresponding to a physical interval of 13 Mb （4A：610.26-623.35Mb） harboring three disease-resistance related genes， TraesCS4A02G329100， TraesCS4A02G330000 and TraesCS4A02G330100. These three genes were detected with differential expression between the resistant and susceptible pools， and were proposed as candidate genes for yrWUD. Additionally， the KASP marker 4AL36 was validated in a natural population. Collectively， this study identified a stripe rust resistance locus yrWUD in Wudubaijianer and validated its effect in a natural population， providing a new resistance gene and molecular markers for selecting stripe rust resistance in wheat breeding.

Abstract:qCTS-9 is reported to be a rice cold-tolerant gene， which functions stably under a wide range of low temperature conditions at seedling stage. Detailed knowledge of the haplotype and adaptive evolution pattern of qCTS-9 will provide support for breeding cold-tolerant rice varieties. In this study， 116 accessions of cultivated rice （Oryza sativa L.） and 37 accessions of wild rice （Oryza rufipogon Griff.） were used to analyze the nucleotide diversity and haplotypes of qCTS-9. There are a total of 14 SNPs in the coding region of qCTS-9， and these SNPs comprised eight haplotypes. Four non-synonymous SNPs constituted three functional haplotypes， which showed significant differences in cold tolerance. The SNP at the 1535 bp in the coding region was hypothesized to be the key mutation site of qCTS-9. The analysis of cis-acting elements in the promoter region of qCTS-9 showed that a SNP （G→A） at -1107 bp resulted in the deletion of a MYB recognition site in the cold-sensitive haplotype Hap4， which may lead to a decrease in cold tolerance in indica rice. Wild rice contains most of the variations of qCTS-9 gene in cultivated rice， but it does not have any unique variant sites within the coding region and promoter cis-acting elements. During the differentiation from wild rice to indica and japonica rice， cold-tolerant related alleles or mutations were fixed and expanded， which in turn enhanced its regional adaptability.

Abstract:Coicis oil is one of the main functional substances of coix seed， and fatty acid is an important component. The contents of stearic acid， oleic acid and linoleic acid in seed kernels of 190 coix germplasms from 9 provinces in China were detected. ClSAD and ClFAD2 sequences polymorphisms were analyzed and the haplotypes were identified. The haplotype association analysis of fatty acid content was carried out. The results showed that there were wide variations in the content of three fatty acids in the seeds of different coix germplasms， the coefficient of variation was 15.84 % - 23.05 %， and the genetic diversity index was 5.22 - 5.23， among which the content of oleic acid was the highest and the content of stearic acid was the lowest， and there was a very significant positive correlation between the fatty acid components. There were 14 SNPs and 3 SNPs in ClSAD and ClFAD2， respectively， and 5 haplotype have been identified. The ClSAD haplotype Hap3 and ClFAD2 haplotype Hap1 are consistent with the reference genome， respectively. Hap3 of ClSAD was significantly associated with stearic acid content and had a negative effect on the conversion of stearic acid to oleic acid. Hap1 of ClFAD2 was favorable for linoleic acid accumulation， while Hap2 was significantly associated with linoleic acid content and had negative effects on linoleic acid synthesis. One key SNP locus was identified in each of the two genes， which was the key locus to the difference of SAD and FAD2 enzyme activity. The results will provide a theoretical basis for the breeding of high oil coix varieties， as well as the development of molecular markers and the analysis of related molecular mechanisms.

Abstract:Peanut is the important unique export agricultural product， which occupies a vital position in agricultural development of China.In this study， two peanut varieties， Hongzhenzhu （H） and Baizhenzhu （B， the control）， were used as research samples for transcriptomic-metabolomics combined analysis. At 30 and 45 days after flowering， the testa color （L value， a value， b value） and anthocyanin content of Hongzhenzhu and Baizhenzhu were extremely significantly different between varieties. FPKM hierarchical cluster analysis showed that compared with Baizhenzhu， there were 1847 and 1843 unique genes at 30 and 45 days after flowering in Hongzhenzhu， respectively. GO analysis annotation results showed there were 8 GO terms significantly related to anthocyanin synthesis. Among them， GO：0055114 and GO：0016207 had enriched with 8 （C4H、two CHS、F3′H、two FLS、F3H and PAL）and 7（two CHS、CHI、F3′H、two FLS and F3H） differential expressed geness respectively. The results of KEGG enrichment analysis showed that 6 metabolic pathways were significantly related to anthocyanin biosynthesis， respectively. Metabolomics results showed that cyanidin， procyanidin， petunidin， delphinidin， malvidin， peony （peonidin） and their derivatives were differential accumulated metabolites （DAMs）. The transcriptomics-metabolomics combined analysis showed that flavonoid biosynthesis （ko00941） is the key synthetic pathway and delphin and centaurea are the key DAMs of testa color formation. The qRT-PCR result of 11 detected DEGs was consistent with the results of transcriptome sequencing. These results of this study have a certain reference significance for revealing the regulatory mechanism of anthocyanin synthesis in peanut testa.

Abstract:Based on the genome and transcriptome data of Salsola abrotanoides， we identified and analysed the GPAT gene family members of Salsola abrotanoides and explored their transcriptional patterns under drought stress treatment using bioinformatics and qRT-PCR methods. A total of 35 GPAT members， named Sa_GPAT1-35， were identified by BLASTP comparison and HMM search， and most of them encoded to the basic proteins that were mainly localized to the endoplasmic reticulum using the bioinformatics prediction. Spatial structure prediction showed that the secondary structure of Sa_GPAT protein was mainly dominated by α-helix with stable tertiary structure. These family members were divided into four subfamilies， of which subfamily 4 of Salsola abrotanoides was unique and not found in other species such as Arabidopsis. No signal peptides were found by prediction， and approximately 63% of Salsola abrotanoides GPAT family members were predicted with transmembrane structure. Through real time fluorescence quantitative PCR analysis， the Salsola abrotanoides GPATs genes were detected showing tissue-specific transcriptional characteristics. Sa_GPAT003 was highly expressed in seedlings. In conjugation with transcriptome results under drought stress treatment， most family members were found with changed profiles. Sa_GPAT032 showed significantly higher expression after drought stress treatment. The comprehensive analysis results suggest that GPAT gene family members may play an important role in drought stress response in Salsola abrotanoides.

Abstract:Potato （Solanum tuberosum L.） is the fourth largest food crop in the world. To explore and identify the biological basis of drought resistance genes is an important way to cultivate new varieties of drought-resistant potato. Potato StAVP1 gene is involved in material transport across the vacuolar membrane and plays an important role in plant response to material transport and abiotic stress. In this study， the StAVP1 gene with the full length of 2301 bp coding region was cloned from the leaves of ‘Atlantic’ potato. Bioinformatics analysis showed that the StAVP1 gene contained typical H⁺-pyrophosphatase domain and 13 transmembrane domains， which had high sequence similarity with AVP1 protein of related species， and was predicted to be located on the vesicular membrane. Tissue expression pattern analysis showed that StAVP1 gene expression was the highest in flowers and the lowest in tubers. The biomass and root length of Arabidopsis thaliana plants overexpressed in StAVP1 were significantly higher than those of wild type， and the contents of malondialdehyde in leaves of Arabidopsis thaliana plants overexpressed in StAVP1 were significantly lower than those of wild type under drought stress， while the contents of superoxide dismutase， peroxidase and proline were significantly higher than those of wild type. Stress response genes such as DREB were significantly up-regulated. The results of CoIP test showed that StAVP1 directly interacted with StRAB， and AtRAB gene expression was significantly up-regulated in Arabidopsis thaliana strains overexpressed in StAVP1 under drought stress. In this study， through biological information analysis， heterologous expression phenotype， physiological， functional verification of gene expression， protein interaction analysis， potato StAVP1 gene is an important gene source for potato genetic improvement.