Dataset Information

Physiological and proteome studies of maize (Zea mays L.) in response to leaf removal under high plant density.

ABSTRACT: BACKGROUND:Under high plant density, intensifying competition among individual plants led to overconsumption of energy and nutrients and resulted in an almost dark condition in the lower strata of the canopy, which suppressed the photosynthetic potential of the shaded leaves. Leaf removal could help to ameliorate this problem and increase crop yields. To reveal the mechanism of leaf removal in maize, tandem mass tags label-based quantitative analysis coupled with liquid chromatography-tandem mass spectrometry were used to capture the differential protein expression profiles of maize subjected to the removal of the two uppermost leaves (S2), the four uppermost leaves (S4), and with no leaf removal as control (S0). RESULTS:Excising leaves strengthened the light transmission rate of the canopy and increased the content of malondialdehyde, whereas decreased the activities of superoxide dismutase and peroxidase. Two leaves removal increased the photosynthetic capacity of ear leaves and the grain yield significantly, whereas S4 decreased the yield markedly. Besides, 239 up-accumulated proteins and 99 down-accumulated proteins were identified between S2 and S0, which were strongly enriched into 30 and 23 functional groups; 71 increased proteins and 42 decreased proteins were identified between S4 and S0, which were strongly enriched into 22 and 23 functional groups, for increased and decreased proteins, respectively. CONCLUSIONS:Different defoliation levels had contrastive effects on maize. The canopy light transmission rate was strengthened and proteins related to photosynthetic electron-transfer reaction were up-regulated significantly for treatment S2, which improved the leaf photosynthetic capacity, and obtained a higher grain yield consequently. In contrast, S4 decreased the grain yield and increased the expressions of proteins and genes associated with fatty acid metabolism. Besides, both S2 and S4 exaggerated the defensive response of maize in physiological and proteomic level. Although further studies are required, the results in our study provide new insights to the further improvement in maize grain yield by leaf removal.

SUBMITTER: Wei S

PROVIDER: S-EPMC6310946 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Physiological and proteome studies of maize (Zea mays L.) in response to leaf removal under high plant density.

Wei Shanshan S Wang Xiangyu X Jiang Dong D Dong Shuting S

BMC plant biology 20181229 1

<h4>Background</h4>Under high plant density, intensifying competition among individual plants led to overconsumption of energy and nutrients and resulted in an almost dark condition in the lower strata of the canopy, which suppressed the photosynthetic potential of the shaded leaves. Leaf removal could help to ameliorate this problem and increase crop yields. To reveal the mechanism of leaf removal in maize, tandem mass tags label-based quantitative analysis coupled with liquid chromatography-ta ...[more]

PMID: 30594144

Similar Datasets

Project description:Maize (Zea mays L.) is the second most commonly produced and consumed crop after wheat globally and is adversely affected by high heat, which is a significant abiotic stress factor. This study was carried out to determine the physiological and biochemical responses of hybrid corn varieties under heat stress (‘HS’) compared to control (‘C’) conditions during the 2020 and 2021 growing seasons. The experiment was conducted under natural conditions in the Southeastern region of Turkey, where the most intense temperatures are experienced. This experiment used split plots in randomized blocks with three replications, with ‘HS’ and ‘C’ growing conditions applied to the main plots and the different hybrid corn varieties (FAO 650) planted on the sub plots. Mean values of days to 50% tasseling (DT, day), grain yield (GY, kg ha−1), leaf water potential (LWP, %), chlorophyll-a (Chl-a, mg g−1), cell membrane damage (CMD, %), and total phenol content (TPC, μg g−1) were significantly different between years, growing conditions, and hybrid corn varieties. Changes in the climate played a significant role in the differences between the years and growing conditions (GC), while the genetic characteristics of the different corn varieties explained the differences in outcomes between them. The values of DT, GY, LWP, Chl-a, CMD, and TPC ranged from 49.06–53.15 days, 9,173.0–10,807.2 kg ha−1, 78.62–83.57%, 6.47–8.62 mg g−1, 9.61–13.54%, and 232.36–247.01 μg g−1, respectively. Significant correlations were recorded between all the parameters. Positive correlations were observed between all the variables except for CMD. The increased damage to cell membranes under ‘HS’ caused a decrease in the other measured variables, especially GY. In contrast, the GY increased with decreased CMD. CMD was important in determining the stress and tolerance level of corn varieties under ‘HS’ conditions. The GY and other physiological parameters of ADA 17.4 and SYM-307 candidate corn varieties surpassed the control hybrid corn cultivars. The results revealed that the ADA 17.4 and SYM-307 cultivars might have ‘HS’-tolerate genes.

Project description:Plant growth-limiting factors, such as low nutrient availability and weak pathogen resistance, may hinder the production of several crops. Plant growth-promoting bacteria (PGPB) used in agriculture, which stimulate plant growth and development, can serve as a potential tool to mitigate or even circumvent these limitations. The present study evaluated the feasibility of using bacteria isolated from the maize rhizosphere as PGPB for the cultivation of this crop. A total of 282 isolates were collected and clustered into 57 groups based on their genetic similarity using BOX-PCR. A representative isolate from each group was selected and identified at the genus level with 16S rRNA sequencing. The identified genera included Bacillus (61.5% of the isolates), Lysinibacillus (30.52%), Pseudomonas (3.15%), Stenotrophomonas (2.91%), Paenibacillus (1.22%), Enterobacter (0.25%), Rhizobium (0.25%), and Atlantibacter (0.25%). Eleven isolates with the highest performance were selected for analyzing the possible pathways underlying plant growth promotion using biochemical and molecular techniques. Of the selected isolates, 90.9% were positive for indolepyruvate/phenylpyruvate decarboxylase, 54.4% for pyrroloquinoline quinine synthase, 36.4% for nitrogenase reductase, and 27.3% for nitrite reductase. Based on biochemical characterization, 9.1% isolates could fix nitrogen, 36.6% could solubilize phosphate, 54.5% could produce siderophores, and 90.9% could produce indole acetic acid. Enzymatic profiling revealed that the isolates could degrade starch (90.1%), cellulose (72.7%), pectin (81.8%), protein (90.9%), chitin (18.2%), urea (54.5%), and esters (45.4%). Based on the data obtained, we identified three Bacillus spp. (LGMB12, LGMB273, and LGMB426), one Stenotrophomonas sp. (LGMB417), and one Pseudomonas sp. (LGMB456) with the potential to serve as PGPB for maize. Further research is warranted to evaluate the biotechnological potential of these isolates as biofertilizers under field conditions.

Project description:An association mapping panel, named as CIMMYT Asia association mapping (CAAM) panel, involving 396 diverse tropical maize lines were phenotyped for various structural and functional traits of roots under drought and well-watered conditions. The experiment was conducted during Kharif (summer-rainy) season of 2012 and 2013 in root phenotyping facility at CIMMYT-Hyderabad, India. The CAAM panel was genotyped to generate 955, 690 SNPs through GBS v2.7 using Illumina Hi-seq 2000/2500 at Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA. GWAS analysis was carried out using 331,390 SNPs filtered from the entire set of SNPs revealed a total of 50 and 67 SNPs significantly associated for root functional (transpiration efficiency, flowering period water use) and structural traits (rooting depth, root dry weight, root length, root volume, root surface area and root length density), respectively. In addition to this, 37 SNPs were identified for grain yield and shoot biomass under well-watered and drought stress. Though many SNPs were found to have significant association with the traits under study, SNPs that were common for more than one trait were discussed in detail. A total 18 SNPs were found to have common association with more than one trait, out of which 12 SNPs were found within or near the various gene functional regions. In this study we attempted to identify the trait specific maize lines based on the presence of favorable alleles for the SNPs associated with multiple traits. Two SNPs S3_128533512 and S7_151238865 were associated with transpiration efficiency, shoot biomass and grain yield under well-watered condition. Based on favorable allele for these SNPs seven inbred lines were identified. Similarly, four lines were identified for transpiration efficiency and shoot biomass under drought stress based on the presence of favorable allele for the common SNPs S1_211520521, S2_20017716, S3_57210184 and S7_130878458 and three lines were identified for flowering period water-use, transpiration efficiency, root dry weight and root volume based on the presence of favorable allele for the common SNPs S3_162065732 and S3_225760139.

Dataset Information

Physiological and proteome studies of maize (Zea mays L.) in response to leaf removal under high plant density.

Publications

Physiological and proteome studies of maize (Zea mays L.) in response to leaf removal under high plant density.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets