Next Article in Journal
Evolution of Antibiotic Resistance of Coagulase-Negative Staphylococci Isolated from Healthy Turkeys in Egypt: First Report of Linezolid Resistance
Next Article in Special Issue
Genetic and Phenotypic Characterisation of a Saccharomyces cerevisiae Population of ‘Merwah’ White Wine
Previous Article in Journal
Insights into the Bacterial Profiles and Resistome Structures Following the Severe 2018 Flood in Kerala, South India
Previous Article in Special Issue
Effect of Milk Type on the Microbiological, Physicochemical and Sensory Characteristics of Probiotic Fermented Milk
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 7
Issue 10
10.3390/microorganisms7100475
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Low Temperature (15 °C) Reduces Bacterial Diversity and Prolongs the Preservation Time of Volvariella volvacea

by
Xiuling Wang
1,2,†,
Shunjie Liu
1,†,
Mingjie Chen
1,
Changxia Yu
1,
Yan Zhao
1,*,
Huanling Yang
1,
Lei Zha
1 and
Zhengpeng Li
1
1
Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
2
College of Life Sciences, Shihezi University, Shihezi 832003, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Microorganisms 2019, 7(10), 475; https://doi.org/10.3390/microorganisms7100475
Submission received: 30 August 2019 / Revised: 16 October 2019 / Accepted: 18 October 2019 / Published: 20 October 2019
(This article belongs to the Special Issue Preservation, Characterization and Exploitation of Microbial Biodiversity of Agri-Food and Environmental Interest)
Browse Figures
Versions Notes

Abstract

:
Straw mushroom (Volvariella volvacea) is the most commonly cultivated edible fungus in the world, but the challenges associated with the preservation have limited its marketability. Microbiology, especially bacteria, play a key role in the deterioration of food, this study aimed to reveal the succession of the bacterial community on the surfaces of V. volvacea fruit bodies under different temperature conditions. We amplified 16S rRNA genes of V4 regions, obtained the bacterial species information by using high-throughput sequencing technology, and analyzed the effects of environmental temperature and preservation time on bacterial communities. The relative abundances of Firmicutes, Bacilli, and Bacillales increased significantly when straw mushrooms began to rot. Furthermore, the relative abundances of Paenibacillus, Lysinibacillus and Solibacillus, which belong to Bacillales, increased with the decay of straw mushroom. The Shannon and Simpson indices of V. volvacea stored at 30 °C were significantly higher than those of V. volvacea stored at 15 °C, which indicates that a high temperature contributes to the improvement in the species diversity. According to the linear discriminant analysis (LDA) effect size (LEfSe) results, the number of biomarkers in the 30 °C group (32, 42.11%) was significantly higher than that in the 15 °C group (17, 22.37%), indicating that a high temperature has a clustering effect on some bacterial communities. A Spearman correlation analysis showed that Pseudomonas, Stenotrophomonas and Solibacillus promoted the decay of straw mushroom. In conclusion, a high temperature increases the bacterial diversity on the straw mushroom surfaces and has a clustering effect on the bacterial communities. The bacterial community consisting of Firmicutes, Bacilli, Bacillales, Paenibacillus, Lysinibacillus, Pseudomonas, Stenotrophomonas and Solibacillus could promote the decay of straw mushroom, so new preservation materials research can focus on inhibiting anaerobic and decay-causing bacteria to prolong preservation time.

1. Introduction

Straw mushroom (Volvariella volvacea), also known as Guangdong mushroom and Chinese mushroom, is one of the largest cultivated edible fungi in the world and one of the main exported mushrooms in China [1,2]. China began cultivating straw mushroom 300 years ago and was the first country to do so [3].
Straw mushroom is a kind of high-temperature mushroom that is not only delicious but also has a high nutritional value [4,5]. Its antioxidant, low-fat and high-protein properties make straw mushroom a typically healthy food in the public mind [6,7]. V. volvacea grows in hot and rainy environments in tropical and subtropical areas, and the optimum growth temperature of this mushroom is 30–32 °C, which is similar to the average summer temperature of its main production area. However, the high temperature is not conducive to the storage of the fruit body of V. volvacea. During transport, straw mushroom is placed in paper boxes at 5 kg per box. Due to the respiration of the picked V. volvacea, the temperature at the center of each package can be as high as 50 °C, which is extremely unfavorable for the preservation of V. volvacea. To date, there has been much advancement in V. volvacea cultivation, resulting in the ready availability of this mushroom [8,9,10,11], while the preservation of V. volvacea remains a serious problem. V. volvacea is unable to withstand low temperatures: when it is stored at 4 °C, the mycelium disintegrates and dies, and the fruit body softens and undergoes autolysis [12,13], which complicates the preservation of V. volvacea. At the same time, researchers found that the storage time of V. volvacea was significantly extended when the temperature was approximately 15 °C [3,14,15]. While it is expensive to maintain V. volvacea at the ideal storage temperature (15 °C), it is also difficult to control the temperature at the center of the box at 15 °C.
Numerous studies have shown that bacteria are an important reason for food spoilage and degradation [16,17,18,19,20]. To prolong the shelf life of the V. volvacea fruit bodies, this study focused on the bacterial community succession process on the surfaces of postharvest fruit bodies of V. volvacea and aimed to find a solution for V. volvacea fruit body preservation.
The bacterial community structures differ greatly among different stages of food spoilage, so investigation of the succession of the bacterial communities could help the identification of decay-causing bacteria [21]. To explore the succession of bacteria on the surfaces of V. volvacea fruit bodies during the process of spoilage, a high-throughput sequencing of the V4 16S rRNA gene was performed to identify bacterial species. The purpose of this research was to identify the bacterial community that played a key role in the process of V. volvacea fruit body decay, thus providing a reference for the preservation of V. volvacea fruit bodies.

2. Methods

2.1. Experimental Design and Simple Process

Considering the growth conditions of V. volvacea, we established 30 °C as the storage temperature of the fruitbody of V. volvacea. Additionally, previous studies have shown that 15 °C was an excellent temperature suitable for the storage of V. volvacea. Thus, this study used 15 and 30 °C as the storage temperatures for postharvest V. volvacea. We labeled the fresh fruit bodies of V. volvacea as the D0 group, and we used a letter-plus-number system (D0 group is not fully applicable because no letter was added in front of the group to indicate temperature) to label all the samples. The first letter in the label represents the storage temperature, i.e., A represents a storage temperature of 30 °C and B represents a storage temperature of 15 °C. The second letter, D, represents the day, the third character (the number between the letter and the decimal point) represents the storage time (number of days); and the fourth character represents the number of biological replicates. V. volvacea fruit bodies were stored at 30 °C for 5 days and sampled every 24 h, or stored at 15 °C for 12 days and sampled every 48 h (Figure 1). The mushrooms were sampled by selecting one sample that was close to the average state from the three V. volvacea fruit body samples in the crisper, i.e., the one that represented the overall preservation condition of all the V. volvacea fruit body samples was selected. The selected sample was then placed in a triangular flask containing 500 mL of double-distilled water and shaken for 3 min. The solution was filtered using filter paper with a 0.22-nm pore size, after which the filter paper was placed in a 50-mL centrifuge tube and stored at −80 °C.

2.2. Sequencing

2.2.1. DNA Extraction

The total genomic DNA was extracted from microorganisms on the surfaces of the V. volvacea fruit body samples using the cetyl trimethyl ammonium bromide (CTAB) method. The DNA concentration and purity were quantified on 1% agarose gels (Life Technologies, Grand Island, NY, USA). Based on the determined concentration, the DNA was diluted to 1 ng/μL using sterile water.

2.2.2. Amplicon Generation

The 16S rRNA genes from the distinct 16S V4 regions were amplified using the specific barcoded primers 515F-806R [22]. All PCRs were carried out with Phusion® High-Fidelity PCR Master Mix (New England Biolabs, Ipswich, MA, USA).

2.2.3. PCR Product Mixing and Purification

An equal volume of 1× loading buffer (containing SYBR Green) was mixed with the PCR products, and electrophoresis was performed on a 2% agarose gel for detection. The PCR products were mixed at equal concentrations. Then, the mixed PCR products were purified with the GeneJET™ Gel Extraction Kit (Thermo Scientific, Waltham, MA, USA).

2.2.4. Library Preparation and Sequencing

Sequencing libraries were generated using an Ion Plus Fragment Library Kit with 48 reactions (Thermo Scientific, Waltham, MA, USA) following the manufacturer’s recommendations. The library quality was assessed on a Qubit 2.0 Fluorometer (Thermo Scientific, Waltham, MA, USA). Finally, the library was sequenced on an Ion S5TM XL platform, and 400 bp/600 bp single-end reads were generated.

2.3. Data Analysis

2.3.1. Single-End Read Quality Control

The single-end reads were assigned to samples based on their unique barcode and truncated by removing the barcode and primer sequence. A quality filtering of the raw reads was performed using specific filtering conditions to obtain high-quality clean reads according to the cutadapt quality control process [23] (V1.9.1, http://cutadapt.readthedocs.io/en/stable/). The reads were compared to a reference database (SILVA database, https://www.arb-silva.de/) [24] using the UCHIME algorithm (http://www.drive5.com/usearch/manual/uchime_algo.html) [25] to detect chimera sequences, and the chimera sequences were then removed [26] to finally obtain the clean reads.

2.3.2. OTU Cluster and Species Annotation

Sequence analysis was performed by UPARSE software (UPARSE v7.0.1001, http://drive5.com/uparse/) [27]. Sequences with ≥ 97% similarity were assigned to the same operational taxonomic unit (OTU). A representative sequence from each OTU was screened for further annotation. For each representative sequence, the SILVA database (Version 132) (https://www.arbsilva.de/) [24] was used, based on the Mothur algorithm, to annotate the taxonomic information. To study the phylogenetic relationship of different OTUs and to compare the dominant species among the different samples (groups), multiple sequence alignments were performed using the MUSCLE software (http://www.drive5.com/muscle/) [28]. The OTU abundance information was normalized using a standard sequence number corresponding to the sample with the fewest sequences. Subsequent analyses of the alpha diversity and beta diversity were all performed based on the normalized output data.

2.3.3. Alpha Diversity

Alpha diversity is applied to analyze the complexity of the species diversity in a sample, using 6 indices: Observed species, Chao1, Shannon, Simpson, abundance-based coverage estimator (ACE), and Good’s coverage indices. For our samples, all these indices were calculated with QIIME (Version 1.7.0) and visualized with R software (Version 2.15.3).
Two indices were selected to identify the community richness: Chao with the Chao1 estimator (http://www.mothur.org/wiki/Chao) and ACE with the ACE estimator (http://www.mothur.org/wiki/Ace). Two indices were used to identify the community diversity: the Shannon index (http://www.mothur.org/wiki/Shannon) and the Simpson index (http://www.mothur.org/wiki/Simpson). Additionally, one index was used to characterize the sequencing depth: Good’s coverage (http://www.mothur.org/wiki/Coverage).

2.3.4. Beta Diversity

A beta diversity analysis was used to evaluate the differences in the species complex among samples. The beta diversity of both the weighted and unweighted UniFrac distances were calculated by QIIME software (Version 1.7.0).

2.3.5. Environmental Factor Correlation Analysis

In the Spearman correlation analysis, the Spearman correlation coefficient of the species and environmental factors was first calculated by the corr.test function of the psych package in R. Then, the significance of the results was evaluated and visualized by the pheatmap function in the heatmap package. The variance partitioning canonical correspondence analysis (VPA) is a type of partial analysis method. The rda function (X, Y, Z) in the vegan package was used to analyze the main environmental factor (Y) and the coenvironmental factor (Z) in the species distribution (X). The impact can quantify the effect of a certain type of environmental factor on the species distribution.

3. Results

3.1. Study of Bacterial Community Structure of Straw Mushroom in Response to Temperature and Preservation Time

Based on the results of species annotation, we selected the top 10 species with the highest relative abundance at every classification level for each group and generated a column chart to visualize the relative abundances of the species. According to the relative abundance histogram at the Phylum-level, Proteobacteria, Firmicutes and Bacteroidetes occupied most of the bacterial community, and their abundances changed significantly at 30 °C (Figure 2a). In addition, the relative abundance of Firmicutes increased as the preservation time increased. The abundance information of each sample was clustered at the Class-level and plotted on a heat map using the R software pheatmap package, which can facilitate the discovery of the classes that were increased or decreased in the samples. The highest rank method was used to select the 35 most abundant classes. According to the results of the clustering heat map (Figure 2b), Fimbriimonadia, Alphaproteobacteria, unidentified_Melainabacteria, Deinococcus, Verrucomicrobiae, Mollicutes, and unidentified_Oxyphotobacteria accumulated on the surfaces of fresh straw mushrooms (D0). Planctomycetacia, Thermoleophilia, Synergistia, Ktedonobacteria, Methanobacteria, Phycisphaerae, and Acidobacteriia accumulated on the surfaces of the straw mushrooms in the BD2 group (15 °C, the second day). Nitrososphaeria, unidentified_Gemmatimonadetes, unidentified_Candidatus_Woesebacteria, unidentified_Rokubacteria, Anaerolineae, Deltaproteobacteria and Holophagae accumulated on the surfaces of straw mushrooms in the BD6 group (15 °C, the 6th day). Additionally, the relative abundance of Gammaproteobacteria on the surfaces of fresh straw mushrooms was very low.
The relative abundances of Firmicutes (Figure 3a), Bacilli (Figure 3e) and Bacillales (Figure 3f) increased significantly in the later period (at both 15 and 30 °C). Paenibacillus (Figure 3j), Lysinibacillus (Figure 3k) and Solibacillus (Figure 3l) belong to Bacillales; the relative abundances of these three genera also increased in the later period (15 or 30 °C).
The relative abundance of Proteobacteria was significantly reduced from the third day at only 30 °C (Figure 3b). The relative abundance of Alphaproteobacteria (Figure 3c) decreased with time, while that of Gammaproteobacteria (Figure 3d) increased with time. Rhizobiales (Figure 3i) and Sphingomonadales (Figure 3h) belong to Alphaproteobacteria (Figure 3c), and these three taxa exhibited similar changes overall. While the relative abundance of Rhizobiales (Figure 3i) changed significantly in the later period at only 30 °C, the relative abundance of Sphingomonadales (Figure 3h) changed significantly from the third to fifth days at only 15 °C. Pseudomonadales (Figure 3g) belongs to Gammaproteobacteria (Figure 3d), and the relative abundance of this taxon roughly increased with time.

3.2. Low Temperature (15°C) Reduces Bacterial Diversity

Taking the Shannon and Simpson indexes as an example (Table 1 and Table 2), these indexes were significantly higher for the bacteria from V. volvacea stored at 30 °C (AD) and fresh (D0) V. volvacea than for bacteria from V. volvacea stored at 15 °C (BD) (Figure 4). This finding indicates that low-temperature conditions reduce the diversity of the bacterial community. Furthermore, the bacterial diversity showed a downward trend over time at 15 °C (Figure 4). The alpha diversity indexes data for each group can be found in Table 1 and Table 2. Additionally, the good’s coverage index indicates that the sequencing depth was sufficient for this experiment.
As shown in the flower plots (Figure S1), the number of OTUs in AD2 and AD3 is greater than that in AD1, AD4, and AD5 (Figure S1b), while the values of BD8, BD10, and BD12 are significantly lower than those of BD2, BD4, and BD6 (Figure S1c). From the results of the sensory evaluation (Figure 1), at 30 °C, the food value of V. volvacea decreased from the second day. At 15 °C, the edible value of V. volvacea on the 8th day was significantly lower than that on the 6th day. When straw mushroom loses its edible value, its surface microbes exhibit intense succession, which is why some microbiological indicators are used for determining food safety.
The linear discriminant analysis (LDA) effect size (LEfSe) results revealed statistically significant biomarkers among the groups, entailing species with significant differences among different groups. The LEfSe results contain three parts: the LDA value distribution histogram (Figure 5a), the evolutionary branch map (Figure 5b), and the biomarkers in different groups (Figure 5b). According to the LEfSe results, there were 27 biomarkers in the D0 group, accounting for 35.53% of the total biomarkers. Compared with the BD group (17, 22.37%), the AD group (32, 42.11%) had more species with significant differences. This result shows that the bacterial community changed greatly under high-temperature conditions, which means that the bacterial community was more sensitive to a high temperature (30 °C) than to low temperature (15 °C).

3.3. Environmental Factor Analysis

3.3.1. Spearman Correlation Analysis

We used a Spearman rank correlation to explore the relationship between the environmental factors (time and temperature) and the alpha diversity indexes of the bacterial community. The heat map from the Spearman correlation analysis indicates that most of the diversity indicators were inversely proportional to time; that is, as the preservation time increased, the bacterial community diversity index decreased, indicating that the bacterial diversity on the surface of fresh straw mushroom was higher than that of decaying straw mushroom (Figure 6a). The Shannon index and Simpson index were proportional to the temperature, indicating that a higher temperature can lead to an increased bacterial diversity.
At the Order (Figure 6b), Family (Figure 6c) and Genus levels (Figure 6b), the relative abundance of most bacteria on the surface of V. volvacea was inversely proportional to the preservation time and proportional to the temperature. At the Phylum and Class levels, this phenomenon was not observed. The abundances of some bacterial genus (Pseudomonas, Stenotrophomonas and Solibacillus) were directly proportional to the preservation time, which indicates that as the straw mushrooms decayed, the abundances of these bacteria increased. It is believed that these bacterial communities may promote the decay of straw mushroom.

3.3.2. Variance Partitioning Canonical Correspondence Analysis

VPA focuses on interpreting the distribution of microbial communities by including various environmental factors. In this paper, we analyzed the OTU data of the bacterial community and obtain the interpretation of time and temperature on the community structure. The VPA results showed that temperature had a greater influence than time on the bacterial community structure of V. volvacea (Figure 7).

4. Discussion

The challenges associated with the preservation of V. volvacea limit its marketability. Temperature is an important environmental factor for food preservation and plays a key role in the preservation of V. volvacea [29]. Ideal preservation temperatures can greatly help extend the preservation time of food. Not only are bacteria directly related to the rooting of food, but bacterial communities are also among the important indicators used for evaluating the degree of food rot [30,31]. Studies on mushroom preservation have shown that new packaging materials can prolong the preservation time of food through inhibition of some specific bacteria [32,33]. The research results described in this paper revealed some bacterial communities associated with the decay of straw mushroom, such as Pseudomonas, Stenotrophomonas, Lysinibacillus and Solibacillus, providing research ideas and directions for the development of bacteriostatic packaging materials.

4.1. Preservation Time and Temperature Significantly Affected the Decay-Causing Bacteria

The relative abundance of Firmicutes increased significantly with prolonged preservation time of straw mushroom. Bacillales belong to Bacilli and Bacilli belong to Firmicutes; the relative abundance of these three changed consistently. Paenibacillus, Lysinibacillus and Solibacillus belong to Bacillales, and the relative abundance of Paenibacillus and Lysinibacillus increased at 30 °C, while the relative abundance of Solibacillus increased at 15 °C.
Dasgupta et al. [34] showed that Paenibacillus lentimorbus NRRLB-30488 belongs to Paenibacillus, and that P. lentimorbus NRRLB-30488R can produce both chitinase and β-1,3-glucanase enzymes in the culture medium; these ingredients promote the dissolution of polysaccharides such as lignin and cellulose [35]. Furthermore, the relative abundance of Paenibacillus in the AD3 and AD4 groups was very high. Based on the above analysis, we believe that Paenibacillus microorganisms may promote the decay of the fruit bodies of straw mushrooms. Lysinibacillus xylanilyticus belongs to Lysinibacillus, and it can degrade xylan [36]. We speculate that Lysinibacillus could promote food rot. Additionally, Solibacillus silvestris, which belong to Solibacillus, can degrade N-acyl-homoserine lactone [37], so Solibacillus likely promote the decay of straw mushroom. The above research shows that Firmicutes and Bacillales are closely related to the decay of straw mushroom, and that Solibacillus functions at 15 °C, while Paenibacillus and Lysinibacillus function at 30 °C.
As the storage time increased, the Shannon and Simpson index showed a downward trend. A possible reason for this is that some bacterial species disappeared due to the fact that the harsh environment (such as hypoxia) leaving some adaptable bacteria as the dominant bacterial community. According to the Spearman correlation analysis, the higher the temperature is, the higher the diversity of bacterial communities and the higher the relative abundance of microorganisms, while the shorter the preservation time is, the higher the relative abundance of bacteria. Meanwhile, the abundances of Pseudomonas, Stenotrophomonas and Solibacillus were directly proportional to the preservation time, which means that these bacteria may promote the decay of straw mushrooms. Previous literature also mentioned that Pseudomonas [38], Stenotrophomonas [39,40] and Solibacillus [37] are closely related to biodegradation and pathogen infection.

4.2. High Temperature Promotes the Reproduction of Microorganisms

Temperature affects the composition of bacterial communities on the surface of straw mushrooms [41]. At 15 °C, the alpha diversity index of the bacterial community of V. volvacea was initially lower than that at 30 °C, indicating that the bacterial diversity was low under low-temperature conditions. This finding indicates that a considerable portion of the bacterial community was inhibited when the storage temperature was 15 °C. This result suggests that the species diversity and richness of the bacterial community were higher under 30 °C than at 15 °C, indicating that high temperature conditions accelerate the decay of V. volvacea. Consequently, a low temperature (15 °C) had a significant preservation effect by reducing the bacterial diversity. Furthermore, the LEfSe results showed that the bacterial community on the surfaces of the V. volvacea fruit bodies had a large number of biomarkers (species with significant differences) at 30 °C, which shows that a high temperature has a clustering effect on certain bacterial communities.
The correlation analysis of the environmental factors showed that all of the alpha diversity indices were closely related to time, and the VPA results showed that the temperature had a greater influence on the bacterial community structure of the postharvest fruit bodies of V. volvacea than time did. The reason for the difference in the results is that VPA focuses on explaining the community distribution with environmental factors, while the Spearman rank correlation focuses on the relationship between environmental factors and alpha diversity.
To date, few studies have examined bacterial succession during the decay process of edible fungi, and for preservation of truffles, 4 °C was found to be the most efficient temperature [42]. Some related studies have mostly focused on microorganisms in compost at different stages [43,44,45]. There is a lack of similar studies because cryopreservation is a suitable storage method for most mushrooms. However, conventional cryopreservation (4 °C) can’t be used for V. volvacea fruit body preservation; therefore, we must consider other solutions. In this paper, we studied the bacterial community succession and hypothesized that the preservation of the V. volvacea fruit bodies could be prolonged by inhibition of decay-causing bacteria.
According to the results of this study, the preservation temperature is a key factor in the decay of straw mushrooms, so controlling the temperature at approximately 15 °C can effectively extend their preservation time. Additionally, research on new preservation materials can focus on the inhibition of the growth of decay-causing bacteria, such as Firmicutes, Bacilli, Bacillales, Paenibacillus, Lysinibacillus, Pseudomonas, Stenotrophomonas and Solibacillus.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-2607/7/10/475/s1.

Author Contributions

X.W., S.L. and Y.Z.: substantial contribution to the conception and design of the work; doing the experiment; acquisition, analysis, and interpretation of the data; drafting the manuscript and revising it critically for important intellectual content; final approval of the version to be published; agreement to be accountable for the work. M.C.: substantial contribution to the conception and design of the work; acquisition, analysis, and interpretation of the data; revising the manuscript critically; final approval of the version to be published; agreement to be accountable for the work. C.Y., H.Y., L.Z. and Z.L.: substantial contribution to providing technical assistance for the experiment, drafting the manuscript and revising it critically for important intellectual content; final approval of the version to be published; agreement to be accountable for the work.

Funding

This work was supported by the Shanghai Agricultural Commission Program (2014-7-1-5), the Shanghai Rising Star Program (16QB1400300), and the National Natural Science Foundation of China (No. 31301828).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chang, S.T. Volvariella volvacea; Hong Kong East Asian Book Company: Hong Kong, China, 1975. [Google Scholar]
  2. Wu, G.; Xie, B.; Jiang, Y.; Xiao, K.; Wang, D.; Peng, C.; Su, Y. Effect of different packaging regimes on the quality of Volvariella volvacea fruit bodies. Acta Edulis Fungi 2014, 21, 60–65. [Google Scholar]
  3. Wu, G.; Jiang, Y. Preliminary screening of the preservation technique for Volvaria volvaria fruit bodies. J. Qingyuan Polytech. 2017, 10, 56–60. [Google Scholar]
  4. Jiang, Y.; Wu, G.; Xiao, K.; Xie, B.; Liu, X.; Deng, Y. One kind of straw mushroom preservation method. CN104012642A, 24 February 2016. [Google Scholar]
  5. Yu, K.; Fang, D.; Chen, M.; Hu, Q.; Zhao, L. Effect of perforation mediated nano-packaging on postharvest quality of Volvariella volvacea during storage. Food Sci. 2016, 37, 292–298. [Google Scholar]
  6. Gopalakrishnan, M.; Pruthi, J.S. Nutritional quality of tropical paddy straw mushroom (Volvariella volvacea). Indian Food Pack. 1977, 31, 14–17. [Google Scholar]
  7. Kaur, M. Antioxidant property of tropical mushrooms: Volvariella volvacea (Paddy Straw Mushroom) and Calocybe indica (Milky Mushroom). Ph.D. Thesis, Punjab Agricultural University, Ludhiana, India, 2016. [Google Scholar]
  8. Zhao, X.; Song, X.; Li, Y.; Yu, C.; Zhao, Y.; Gong, M.; Shen, X.; Chen, M. Gene expression related to trehalose metabolism and its effect on Volvariella volvacea under low temperature stress. Sci. Rep. 2018, 8, 11011. [Google Scholar] [CrossRef]
  9. Hou, L.; Li, Y.; Chen, M.; Li, Z. Improved fruiting of the straw mushroom (Volvariella volvacea) on cotton waste supplemented with sodium acetate. Appl. Microbiol. Biotechnol. 2017, 101, 8533–8541. [Google Scholar] [CrossRef]
  10. Zhao, F.; Lin, J.; Zeng, X.; Guo, L.; Wang, Y.; You, L. Improvement in fruiting body yield by introduction of the Ampullaria crossean multi-functional cellulase gene into Volvariella volvacea. Bioresour. Technol. 2010, 101, 6482–6486. [Google Scholar] [CrossRef]
  11. Ahlawat, O.P.; Gupta, P.; Dhar, B.L.; Sagar, T.G.; Rajendranath, R.; Rathnam, K. Profile of the extracellular lignocellulolytic enzymes activities as a tool to select the promising strains of Volvariella volvacea (Bull. ex Fr.) sing. Indian J. Microbiol. 2008, 48, 389–396. [Google Scholar] [CrossRef]
  12. Chen, J.; Zhu, Z.; Wu, X.; He, J.; Jiang, W.; Wang, J.; Tang, X. Application of inactivated parental strain protoplasts fusion technology in selection of Volvariella volvacea with higher antifreeze capacity. J. Agric. Sci. Technol. 2013, 15, 166–172. [Google Scholar]
  13. Chang, S.T.; Hayes, W.A. The Biology and Cultivation of Edible Mushrooms; Academic press: New York, NY, USA, 1978; p. 842. [Google Scholar]
  14. Duan, Y.; Geng, S.; Han, Y.; Liu, G.; Gu, Z.; Wang, L.; Rui, K. Screen of fresh keeping agents and their application in mushroom storage. Food Ferment. Ind. 2004, 30, 143–146. [Google Scholar]
  15. Chen, B.; Zhong, Y.; Chen, X.; Wu, G.; Lin, S.; Xie, B.; Jiang, Y. Study on the effect of ethephon and 1-MCP on postharvest preservation process of Volvariella volvacea. Edible Med. Mushrooms 2018, 26, 40–43. [Google Scholar]
  16. Kumariya, R.; Garsa, A.K.; Rajput, Y.S.; Sood, S.K.; Akhtar, N.; Patel, S. Bacteriocins: Classification, synthesis, mechanism of action and resistance development in food spoilage causing bacteria. Microb. Pathog. 2019, 128, 171–177. [Google Scholar] [CrossRef]
  17. Mizobuchi, R.; Fukuoka, S.; Tsuiki, C.; Tsushima, S.; Sato, H. Evaluation of major Japanese rice cultivars for resistance to bacterial grain rot caused by Burkholderia glumae and identification of standard cultivars for resistance. Breed. Sci. 2018, 68, 413–419. [Google Scholar] [CrossRef]
  18. Hall, M.E.; Loeb, G.M.; Cadle-Davidson, L.; Evans, K.J.; Wilcox, W.F. Grape sour rot: A four-way interaction involving the host, yeast, acetic acid bacteria, and insects. Phytopathology 2018, 108, 1429–1442. [Google Scholar] [CrossRef] [PubMed]
  19. Johnston, S.R.; Boddy, L.; Weightman, A.J. Bacteria in decomposing wood and their interactions with wood-decay fungi. FEMS Microbiol. Ecol. 2016, 92. [Google Scholar] [CrossRef] [PubMed]
  20. Liu, C.; Yin, X.; Wang, Q.; Peng, Y.; Ma, Y.; Liu, P.; Shi, J. Antagonistic activities of volatiles produced by two Bacillus strains against Monilinia fructicola in peach fruit. J. Sci. Food Agric. 2018, 98, 5756–5763. [Google Scholar] [CrossRef]
  21. Liu, Z.; Peng, Z.; Huang, T.; Guan, Q.; Li, J.; Xie, M. Bacterial community dynamics and physical-chemical characteristics in natural fermentation of jiang-shui, a traditional food made in Northwest China. J. Sci. Food Agric. 2019, 99, 3391–3397. [Google Scholar] [CrossRef]
  22. Gu, G.; Ottesen, A.; Bolten, S.; Ramachandran, P.; Reed, E.; Rideout, S.; Luo, Y.; Patel, J.; Brown, E.; Nou, X. Shifts in spinach microbial communities after chlorine washing and storage at compliant and abusive temperatures. Food Microbiol. 2018, 73, 73–84. [Google Scholar] [CrossRef]
  23. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. Embnet J. 2011, 17, 10–12. [Google Scholar] [CrossRef]
  24. Quast, C.; Pruesse, E.; Yilmaz, P.; Gerken, J.; Schweer, T.; Yarza, P.; Peplies, J.; Glöckner, F.O. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 2013, 41, 590–596. [Google Scholar] [CrossRef]
  25. Edgar, R.C.; Haas, B.J.; Clemente, J.C.; Quince, C.; Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 2011, 27, 2194–2200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Haas, B.J.; Gevers, D.; Earl, A.M.; Feldgarden, M.; Ward, D.V.; Giannoukos, G.; Ciulla, D.; Tabbaa, D.; Highlander, S.K.; Sodergren, E.; et al. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. Genome Res. 2011, 21, 494–504. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Edgar, R.C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 2013, 10, 996–998. [Google Scholar] [CrossRef] [PubMed]
  28. Edgar, R.C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32, 1792–1797. [Google Scholar] [CrossRef]
  29. Azevedo, S.; Cunha, L.M.; Fonseca, S.C. Modelling the influence of time and temperature on the respiration rate of fresh oyster mushrooms. Food Sci. Technol. Int. 2014, 21, 593–603. [Google Scholar] [CrossRef]
  30. Xue, H.; Bi, Y.; Sun, Y.; Hussain, R.; Wang, H.; Zhang, S.; Zhang, R.; Long, H.; Nan, M.; Cheng, X.; et al. Acetylsalicylic acid treatment reduce Fusarium rot development and neosolaniol accumulation in muskmelon fruit. Food Chem. 2019, 289, 278–284. [Google Scholar] [CrossRef]
  31. Haack, S.E.; Ivors, K.L.; Holmes, G.J.; Forster, H.; Adaskaveg, J.E. Natamycin, a new biofungicide for managing crown rot of strawberry caused by QoI-Resistant Colletotrichum acutatum. Plant Dis. 2018, 102, 1687–1695. [Google Scholar] [CrossRef]
  32. Liu, Y.; Wang, S.; Lan, W.; Qin, W. Fabrication of polylactic acid/carbon nanotubes/chitosan composite fibers by electrospinning for strawberry preservation. Int. J. Biol. Macromol. 2019, 121, 1329–1336. [Google Scholar] [CrossRef]
  33. Yan, R.; Li, N.; Zhu, Z.; Guan, W. Effect of different packing bags on storage quality of Agaricus bisporus. Edible Fungi China 2010, 29, 46–48. [Google Scholar]
  34. Dasgupta, S.M.; Khan, N.; Nautiyal, C.S. Biologic control ability of plant growth-promoting Paenibacillus lentimorbus NRRL B-30488 isolated from milk. Curr. Microbiol. 2006, 53, 502–505. [Google Scholar] [CrossRef]
  35. Hong, T.Y.; Meng, M. Biochemical characterization and antifungal activity of an endo-1,3-β-glucanase of Paenibacillus sp. isolated from garden soil. Appl. Microbiol. Biotechnol. 2003, 61, 472–478. [Google Scholar] [CrossRef] [PubMed]
  36. Soo, L.C.; Yong-Taek, J.; Sooyeon, P.; Tae-Kwang, O.; Jung-Hoon, Y. Lysinibacillus xylanilyticus sp. nov., a xylan-degrading bacterium isolated from forest humus. Int. J. Syst. Evol. Microbiol. 2010, 60, 281–286. [Google Scholar]
  37. Morohoshi, T.; Tominaga, Y.; Someya, N.; Ikeda, T. Complete genome sequence and characterization of the N-acylhomoserine lactone-degrading gene of the potato leaf-associated Solibacillus silvestris. J. Biosci. Bioeng. 2012, 113, 20–25. [Google Scholar] [CrossRef] [PubMed]
  38. Bergeau, D.; Mazurier, S.; Barbey, C.; Merieau, A.; Chane, A.; Goux, D.; Bernard, S.; Driouich, A.; Lemanceau, P.; Vicre, M.; et al. Unusual extracellular appendages deployed by the model strain Pseudomonas fluorescens C7R12. PLoS ONE 2019, 14, e0221025. [Google Scholar] [CrossRef]
  39. Brooke, J.S. Stenotrophomonas maltophilia: An emerging global opportunistic pathogen. Clin. Microbiol. Rev. 2012, 25, 2–41. [Google Scholar] [CrossRef]
  40. Elufisan, T.O.; Lozano, L.; Bustos, P.; Rodriguez-Luna, I.C.; Sanchez-Varela, A.; Oyedara, O.O.; Villalobos-Lopez, M.A.; Guo, X. Complete genome sequence of Stenotrophomonas maltophilia strain SVIA2, isolated from crude oil-contaminated soil in Tabasco, Mexico. Microbiol. Resour. Announc. 2019, 8, e00529-19. [Google Scholar] [CrossRef]
  41. Nedwell, D.B. Effect of low temperature on microbial growth: Lowered affinity for substrates limits growth at low temperature. FEMS Microbiol. Ecol. 1999, 30, 101–111. [Google Scholar] [CrossRef]
  42. Roberta, S.; Paola, C.; Paola, C.; Elena, B.; Vilberto, S. Effect of storage on biochemical and microbiological parameters of edible truffle species. Food Chem. 2008, 109, 8–16. [Google Scholar]
  43. Kumar, A.P.; Kumar, C.D.; Anil, P.; Johri, B.N. Bacterial diversity in a bagasse-based compost prepared for the cultivation of edible mushrooms Agaricus bisporus. Int. J. Agric. Technol. 2011, 7, 1303–1311. [Google Scholar]
  44. Ntougias, S.; Zervakis, G.I.; Kavroulakis, N.; Ehaliotis, C.; Ehaliotis, C.; Papadopoulou, K.K. Bacterial diversity in spent mushroom compost assessed by amplified rDNA restriction analysis and sequencing of cultivated Isolates. Syst. Appl. Microbiol. 2004, 27, 746–754. [Google Scholar] [CrossRef]
  45. Silva, C.F.; Azevedo, R.S.; Braga, C.; Da, S.R.; Dias, E.S.; Schwan, R.F. Microbial diversity in a bagasse-based compost prepared for the production of Agaricus brasiliensis. Br. J. Microbiol. 2009, 40, 590–600. [Google Scholar] [CrossRef]
Microorganisms 07 00475 g001 550
Figure 1. The sensory quality of the V. volvacea fruit bodies stored at 30 and 15 °C.
Figure 1. The sensory quality of the V. volvacea fruit bodies stored at 30 and 15 °C.
Microorganisms 07 00475 g001
Microorganisms 07 00475 g002 550
Figure 2. (a) Column chart showing the species relative abundances at the Phylum-level and (b) clustering heat map at the Class-level.
Figure 2. (a) Column chart showing the species relative abundances at the Phylum-level and (b) clustering heat map at the Class-level.
Microorganisms 07 00475 g002
Microorganisms 07 00475 g003 550
Figure 3. The bacterial species changed significantly with temperature and preservation time. (a) Firmicutes, (b) Proteobacteria, (c) Alphaproteobacteria, (d) Gammaproteobacteria, (e) Bacilli, (f) Bacillales, (g) Pseudomonadales, (h) Sphingomonadales, (i) Rhizobiales, (j) Paenibacillus, (k) Lysinibacillus and (l) Solibacillus. AD means 15 °C, BD means 30 °C.
Figure 3. The bacterial species changed significantly with temperature and preservation time. (a) Firmicutes, (b) Proteobacteria, (c) Alphaproteobacteria, (d) Gammaproteobacteria, (e) Bacilli, (f) Bacillales, (g) Pseudomonadales, (h) Sphingomonadales, (i) Rhizobiales, (j) Paenibacillus, (k) Lysinibacillus and (l) Solibacillus. AD means 15 °C, BD means 30 °C.
Microorganisms 07 00475 g003
Microorganisms 07 00475 g004 550
Figure 4. (a) The Shannon index and (b) Simpson index increase at high temperatures. D0 means 0-day, AD means 15 °C, and BD means 30 °C.
Figure 4. (a) The Shannon index and (b) Simpson index increase at high temperatures. D0 means 0-day, AD means 15 °C, and BD means 30 °C.
Microorganisms 07 00475 g004
Microorganisms 07 00475 g005 550
Figure 5. The (a) LDA (linear discriminant analysis) value distribution histogram and (b) evolutionary branch map. Description: The LDA value distribution histogram shows the species with an LDA scores greater than the set value (the default setting is 4), i.e., the biomarkers with statistical differences among the groups. Species with abundant significant differences among different groups are shown, and the length of the histogram represents the magnitude of the impact of different species (i.e., the LDA score). In the evolutionary branch diagram, the circle radiating from the inside to the outside represents the classification level from the Phylum to the Genus (or Species). Each small circle at a different classification level represents a classification at that level, and the diameter of the small circle is proportional to the relative abundance. Color scheme: species without significant differences are uniformly colored yellow; the differential species biomarkers are colored by group. The red nodes represent the microbial groups that play important roles in the red group, and the green nodes indicate microbial groups that play important roles in the green group. If a group is missing in the figure, there was no significant differences in that group. The species name represented by letters in the figure are shown in the legend on the right.
Figure 5. The (a) LDA (linear discriminant analysis) value distribution histogram and (b) evolutionary branch map. Description: The LDA value distribution histogram shows the species with an LDA scores greater than the set value (the default setting is 4), i.e., the biomarkers with statistical differences among the groups. Species with abundant significant differences among different groups are shown, and the length of the histogram represents the magnitude of the impact of different species (i.e., the LDA score). In the evolutionary branch diagram, the circle radiating from the inside to the outside represents the classification level from the Phylum to the Genus (or Species). Each small circle at a different classification level represents a classification at that level, and the diameter of the small circle is proportional to the relative abundance. Color scheme: species without significant differences are uniformly colored yellow; the differential species biomarkers are colored by group. The red nodes represent the microbial groups that play important roles in the red group, and the green nodes indicate microbial groups that play important roles in the green group. If a group is missing in the figure, there was no significant differences in that group. The species name represented by letters in the figure are shown in the legend on the right.
Microorganisms 07 00475 g005
Microorganisms 07 00475 g006 550
Figure 6. The heat maps of the Spearman correlation analysis. (a) Heat map of the Spearman correlation analysis of alpha diversity. (b) Heat map of the Spearman correlation analysis of bacterial abundance at the Order level. (c) Heat map of the Spearman correlation analysis of bacterial abundance at the Family level. (d) Heat map of the Spearman correlation analysis of bacterial abundance at the Genus level. Description: the vertical axis contains the environmental factor information, and horizontal axis is the species information. The intermediate heat map corresponds to the Spearman correlation coefficient r, with values between −1 and 1, with r < 0 indicating a negative correlation and r > 0 indicating a positive correlation; * indicates p < 0.05.
Figure 6. The heat maps of the Spearman correlation analysis. (a) Heat map of the Spearman correlation analysis of alpha diversity. (b) Heat map of the Spearman correlation analysis of bacterial abundance at the Order level. (c) Heat map of the Spearman correlation analysis of bacterial abundance at the Family level. (d) Heat map of the Spearman correlation analysis of bacterial abundance at the Genus level. Description: the vertical axis contains the environmental factor information, and horizontal axis is the species information. The intermediate heat map corresponds to the Spearman correlation coefficient r, with values between −1 and 1, with r < 0 indicating a negative correlation and r > 0 indicating a positive correlation; * indicates p < 0.05.
Microorganisms 07 00475 g006
Microorganisms 07 00475 g007 550
Figure 7. The VPA results. Description: the intersection of the circles is the explanatory quantity shared by the temperature factor and the time factor, and the area outside the circles is the unexplained quantity.
Figure 7. The VPA results. Description: the intersection of the circles is the explanatory quantity shared by the temperature factor and the time factor, and the area outside the circles is the unexplained quantity.
Microorganisms 07 00475 g007
Table
Table 1. The alpha diversity index (all samples).
Table 1. The alpha diversity index (all samples).
GroupObserved SpeciesShannonSimpsonChao1ACEGood’s CoveragePD Whole Tree
D06115.4240.94711.262714.6180.99746.46
AD14615.1890.929547.522544.0160.99830.138
AD24205.6290.955498.262486.0180.99825.157
AD34845.7730.954551.587546.3740.99828.6
AD44095.3610.936474.942463.020.99823.895
AD53654.9250.916422.119420.2950.99820.822
BD26545.0350.876805.452805.0740.99650.533
BD44714.2260.822570.405596.5790.99836.328
BD64314.4230.824522.711519.2010.99832.856
BD83094.1410.856470.589410.3640.99820.49
BD102613.7130.788339.822342.0070.99815.637
BD122443.940.855322.445318.0290.99916.338
Table
Table 2. The alpha diversity index (all groups).
Table 2. The alpha diversity index (all groups).
GroupObserved SpeciesShannonSimpsonChao1ACEGood’s CoveragePD Whole Tree
AD4285.3750.938498.886491.9450.99825.722
BD3954.2460.837505.238498.5420.99828.697
D06115.4240.94711.262714.6180.99746.46

Share and Cite

MDPI and ACS Style

Wang, X.; Liu, S.; Chen, M.; Yu, C.; Zhao, Y.; Yang, H.; Zha, L.; Li, Z. Low Temperature (15 °C) Reduces Bacterial Diversity and Prolongs the Preservation Time of Volvariella volvacea. Microorganisms 2019, 7, 475. https://doi.org/10.3390/microorganisms7100475

AMA Style

Wang X, Liu S, Chen M, Yu C, Zhao Y, Yang H, Zha L, Li Z. Low Temperature (15 °C) Reduces Bacterial Diversity and Prolongs the Preservation Time of Volvariella volvacea. Microorganisms. 2019; 7(10):475. https://doi.org/10.3390/microorganisms7100475

Chicago/Turabian Style

Wang, Xiuling, Shunjie Liu, Mingjie Chen, Changxia Yu, Yan Zhao, Huanling Yang, Lei Zha, and Zhengpeng Li. 2019. "Low Temperature (15 °C) Reduces Bacterial Diversity and Prolongs the Preservation Time of Volvariella volvacea" Microorganisms 7, no. 10: 475. https://doi.org/10.3390/microorganisms7100475

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop