[Identification of HSP70 gene family members in Fritillaria cirrhosa and expression analysis in different tissues under high temperature stress].

The heat shock protein 70 family contains the stress proteins ubiquitous in plants. These proteins are involved in the responses to different abiotic stress conditions and have highly conserved gene sequences. However, little is known about the molecular mechanisms of Fritillaria cirrhosa in response to high-temperature stress. Here, 26 HSP70s, FcHSP70-1 to FcHSP70-26, were identified from the transcriptome data of root, bulb, stem, leaf, and fruit samples of F. cirrhosa. The proteins encoded by FcHSP70s had the lengths ranging from 560 aa to 944 aa, with the molecular weight of 61.64-100.01 kDa and the theoretical isoelectric point between 5.00 and 6.59. The secondary structural elements of HSP70s were mainly random coils and α-helixes. Subcellular localization prediction revealed that FcHSP70s were distributed in mitochondria, chloroplasts, nuclei, endoplasmic reticulum, and cytoplasm. The phylogenetic tree showed that 7 members of the HSP70 family belonged to the Dnak subfamily and 19 members belonged to the HSP110/SSE subfamily. In addition, the qRT-PCR results showed that the expression of FcHSP70-5, FcHSP70-8, FcHSP70-17, FcHSP70-18, and FcHSP70-23 in F. cirrhosa was significantly up-regulated at 35 ℃, which indicated that these genes might play a role in the response to high temperature stress. In addition, compared with other tissues, stems and leaves were sensitive to high temperature stress, with the expression of 18 genes up-regulated by 18.18 and 8.03 folds on average, respectively. These findings provide valuable information about the molecular mechanism of HSP70s of F. cirrhosa in response to high temperature stress.

Two new species of Perenniporia sensu lato (Polyporales, Basidiomycota) from China and two new combinations in Crassisporus.

Phylogenetic and morphological analyses on Perenniporia s.l. were carried out. Phylogenies on Perenniporia s.l. are reconstructed with two loci DNA sequences including the internal transcribed spacer (ITS) regions and the large subunit (nLSU). Two new species from Yunnan Province, southwest China, Perenniporiaprunicola and P.rosicola in Perenniporia s.l., are illustrated and described. Perenniporiaprunicola is characterised by the perennial and resupinate basidiomata with a clay pink pore surface when fresh, a trimitic hyphal system, the presence of clavate to fusiform hymenial cystidia, ellipsoid to broadly ellipsoid basidiospores measuring 4.8-6.2 × 3.6-4.5 µm. Perenniporiarosicola is characterised by annual and resupinate basidiomata with a white pore surface when fresh, a dimitic hyphal system, the presence of dendrohyphidia, broadly ellipsoid to subglobose basidiospores measuring 5-5.8 × 4-5.2 µm. In addition, Crassisporus is a genus in Perenniporia s.l., in which two new combinations Crassisporusminutus and C.mollissimus are proposed. Main morphological characteristics of species related to new taxa are also provided.

Three new species of Favolaschia (Mycenaceae, Agaricales) from South China.

The genus Favolaschia within the family Mycenaceae is characterised by the gelatinous basidiomata with poroid hymenophore and most species inhabit monocotyledonous plants. In this study, many samples covering a wide geographic range in China were examined morphologically and phylogenetically using concatenated ITS1-5.8S-ITS2-nLSU sequence data. Three new species clustering in Favolaschiasect.Anechinus, namely Favolaschiaimbricata, F.miscanthi and F.sinarundinariae, are described. Favolaschiaimbricata is characterised by imbricate basidiomata with pale grey to greyish colour when fresh and broadly ellipsoid basidiospores measuring 7-9 × 5-6.8 µm; F.miscanthi is characterised by satin white basidiomata when fresh, broadly ellipsoid basidiospores measuring 7.5-10 × 5.5-7 µm and inhabit rotten Miscanthus; F.sinarundinariae is characterised by greyish-white basidiomata when fresh, dark grey near the base upon drying, broadly ellipsoid to subglobose basidiospores measuring 7-9 × 5-7 µm and inhabit dead Sinarundinaria. The differences amongst the new species and their morphologically similar and phylogenetically related species are discussed. In addition, an updated key to 19 species of Favolaschia found in China is provided.

Molecular and morphological data reveal two new species of Tropicoporus (Hymenochaetaceae, Basidiomycota) from Australia and tropical Asia.

Phylogenetic analyses and morphological examination confirmed two new species in the tropical polypore genus Tropicoporus, T.oceanianus and T.zuzaneae, from Australia and tropical Asia, respectively. A phylogenetic analysis based on the two DNA markers including the nuclear ribosomal internal transcribed spacer (ITS) region and the large subunit (nLSU) gene shows that these two new species form two independent lineages nested in the genus Tropicoporus. T.oceanianus is characterized by perennial and ungulate basidiomata, the occasional presence of hymenial setae, a trimitic hyphal structure in the context and a dimitic hyphal system in the trama, and broadly ellipsoid to subglobose basidiospores measuring 5.2-6 × 4-5 µm. T.zuzaneae is characterized by perennial and resupinate basidiomata with distinct receding margin, glancing pores, very thin to almost lacking subiculum, a dimitic hyphal structure, the absence of any setal elements, broadly ellipsoid to subglobose basidiospores measuring 3.8-4.9 × 3-4.2 µm. The differences among the new species and their phylogenetically related and morphologically similar species are discussed.

Volatile compounds and aroma characteristics of mushrooms: a review.

Mushrooms are popular due to their rich medicinal and nutritional value. Of the many characteristics of mushrooms, aroma has received extensive attention and research as a key determinant of consumer preference. This paper reviews the production, role and contribution of common volatile compounds (VCs) in wild and cultivated mushrooms, and explores the methods used to characterize them and the factors influencing aroma. To date, more than 347 common VCs have been identified in mushrooms, such as aldehydes, ketones, alcohols and sulfur-containing compounds. Extraction and identification of VCs is a critical step and combining multiple analytical methods is an effective strategy in mushroom aroma studies. In addition, the VCs and the aroma of mushrooms are affected by a variety of factors such as genetics, growing conditions, and processing methods. However, the mechanism of influence is unknown. Further studies on the production mechanisms of VCs, their contribution to aroma, and the factors influencing their formation need to be determined in order to fully elucidate aroma and flavor of mushrooms.

Building deep learning and traditional chemometric models based on Fourier transform mid-infrared spectroscopy: Identification of wild and cultivated Gastrodia elata.

To identify wild and cultivated Gastrodia elata quickly and accurately, this study is the first to apply three-dimensional correlation spectroscopy (3DCOS) images combined with deep learning models to the identification of G. elata. The spectral data used for model building do not require any preprocessing, and the spectral data are converted into three-dimensional spectral images for model building. For large sample studies, the time cost is minimized. In addition, a partial least squares discriminant analysis (PLS-DA) model and a support vector machine (SVM) model are built for comparison with the deep learning model. The overall effect of the deep learning model is significantly better than that of the traditional chemometric models. The results show that the model achieves 100% accuracy in the training set, test set, and external validation set of the model built after 46 iterations without preprocessing the original spectral data. The sensitivity, specificity, and the effectiveness of the model are all 1. The results concluded that the deep learning model is more effective than the traditional chemometric model and has greater potential for application in the identification of wild and cultivated G. elata.

Review of postharvest processing of edible wild-grown mushrooms.

Edible wild-grown mushrooms, plentiful in resources, have excellent organoleptic properties, flavor, nutrition, and bioactive substances. However, fresh mushrooms, which have high water and enzymatic activity, are not protected by cuticles and are easily attacked by microorganisms. And wild-grown mushroom harvesting is seasonal the harvest of edible wild-grown mushrooms is subject to seasonality, so their market availability is challenging. Many processing methods have been used for postharvest mushroom processing, including sun drying, freezing, packaging, electron beam radiation, edible coating, ozone, and cooking, whose effects on the parameters and composition of the mushrooms are not entirely positive. This paper reviews the effect of processing methods on the quality of wild and some cultivated edible mushrooms. Drying and cooking, as thermal processes, reduce hardness, texture, and color browning, with the parallel that drying reduces the content of proteins, polysaccharides, and phenolics while cooking increases the chemical composition. Freezing, which allows mushrooms to retain better hardness, color, and higher chemical content, is a better processing method. Water washing and ozone help maintain color by inhibiting enzymatic browning. Edible coating facilitates the maintenance of hardness and total sugar content. Electrolytic water (EW) maintains total phenol levels and soluble protein content. Pulsed electric field and ultrasound (US) inhibit microbial growth. Frying maintains carbohydrates, lipids, phenolics, and proteins. And the mushrooms processed by these methods are safe. They are the focus of future research that combines different methods or develops new processing methods, molecular mechanisms of chemical composition changes, and exploring the application areas of wild mushrooms.

First Report of Mucor Rot Caused by Mucor circinelloides on Gastrodia elata in China.

Gastrodia elata Blume is used as a traditional Chinese herbal medicine and is widely planted throughout China (Zhu et al. 2019). From September to October 2022, G. elata tuberous rot occurred in 47 households in Yiliang County, Zhaotong City (27°39' N, 104°16' E), Yunnan Province, China, within a major G. elata production area covering 776 ha, with an incidence rate of 10 to 15%. Symptoms manifested as black and brown lesions on the tuber surface, which were concave, soft, foul-smelling, and surrounded by grayish-brown tissue . Three infected G. elata were randomly collected from each household, placed in transparent plastic bags, and pathogen isolation was conducted in a laboratory. Infected G. elata tubers were surface-sterilized with 0.5% NaOCl for 2 min, rinsed five times with sterile water, and dried. Symptomatic tissues from the margin between necrotic and healthy tissues were cut into 5 × 5 mm pieces, placed onto potato dextrose agar (PDA), and incubated at 28 ºC in the dark for 3 days. Hyphal tips of fungi growing from the samples were transferred onto new PDA plates and incubated until they produced conidia. Five fungal isolates (Charliezhao 417, 418, 419, 420, and 421) with the same morphological characteristics were obtained from the samples. Colonies tended to be yellow or light grey, and produced sporangiospores that were sub-globose, ellipsoid, or irregular, measuring 4.0 to 9.7 × 2.5 to 4.6 µm (n = 50). The morphological characteristics of the isolates resembled Mucor circinelloides (Wagner et al. 2020). Genomic DNA of two representative isolates (Charliezhao 417 and 418) was extracted using the DN14 cetyltrimethylammonium bromide rapid plant genome extraction kit (Aidlab Biotechnologies Co., Ltd, Beijing). The ITS and RPB1 genes were amplified by polymerase chain reaction using the primers ITS1/ITS4 (White et al. 1990) and Af/Cf (Matheny et al. 2002), respectively. All sequences were deposited in GenBank (accession no. OQ612709, OR028949 for ITS, OQ621439, OR033135 for RPB1). A BLASTN homology search with the ITS nucleotide sequences showed that they had 99.5 to 99.2% identity with M. circinelloides isolate KR056083 (603/606 bp) and isolate KJ588204 (617/622 bp), respectively; and the RPB1 sequences had 99.89% to 99.75% identity to isolates KJ588206 (874/875 bp) and isolate KJ588206 (803/805 bp), respectively. To complete Koch's postulates, five mature, healthy G. elata tubers were surface disinfected with 1% NaClO solution for 1 min, rinsed with sterile water, and dried at 25℃ for 30 min. A conidial suspension (106 spores/ml) collected from two isolates (Charliezhao 417 and 418) was sprayed onto G. elata tubers, and the control treated with distilled water. All G. elata tubers were incubated at 25 ºC with 80% relative humidity. The experiment had five replicates. After 7 days of incubation, there were obvious brown spots on inoculated tubers; no symptoms were observed on the controls. The pathogen was re-isolated from all inoculated G. elata tubers and confirmed as M. circinelloides by morphological and molecular analyses, completing Koch's postulates. This is the first report of M. circinelloides causing G. elata mucor rot in China. The tubers of G. elate are often employed in the treatment of headaches, convulsions and neurodegenerative disorders (Manavalan et al. 2012). Thus, the declining yield of G. elate due to persistent obstacles related to continuous cropping and diseases poses a potential threat to the development of the G. elate industry.

Morchella esculenta cultivation in fallow paddy fields and drylands affects the diversity of soil bacteria and soil chemical properties.

The properties of paddy field (DT) and dry land (HD) soil and food production can be enhanced by the cultivation of Morchella esculenta (ME) during the fallow period. However, whether ME cultivation affects the soil health and microbial diversity of paddy fields and drylands during the cultivation period remains unclear, and this has greatly limited the wider use of this cultivation model. Here, we analyzed the soil chemical properties and bacterial diversity (via metabarcoding sequencing) of DT and HD soils following ME cultivation. Our findings indicated that ME cultivation could enhance soil health. The content of soil phosphorus and potassium (K) was increased in DT soil under ME cultivation, and the K content was significantly higher in HD soil than in DT soil under ME cultivation. ME cultivation had a weak effect on alpha diversity, and ME cultivation affected the abundance of some genera of soil bacteria. The cultivation of ME might reduce the methane production capacity of DT soil and enhance the nitrogen cycling process of HD soil based on the results of functional annotation analysis. Network analysis and correlation analysis showed that Gemmatimonas, Bryobacter, and Anaeromyxobacter were the key bacterial genera regulating soil chemical properties in DT soil under ME cultivation, and Bryobacter, Bacillus, Streptomyces, and Paenarthrobacter were the key taxa associated with the accumulation of K in HD soil. The results of our study will aid future efforts to further improve this cultivation model.

Species diversity of pathogenic wood-rotting fungi (Agaricomycetes, Basidiomycota) in China.

Wood-rotting basidiomycetes have been investigated in the Chinese forest ecosystem for the past 30 years. Two hundred and five pathogenic wood-decayers belonging to 9 orders, 30 families, and 74 genera have been found in Chinese native forests, plantations, and gardens. Seventy-two species (accounting for 35% of the total pathogenic species) are reported as pathogenic fungi in China for the first time. Among these pathogens, 184 species are polypores, nine are corticioid fungi, eight are agarics and five are hydnoid basidiomycetes. One hundred and seventy-seven species (accounting for 86%) cause white rot, while 28 species (accounting for 14%) result in brown rot; 157 species grow on angiosperm trees (accounting for 76.5%) and 44 species occur on gymnosperm trees (accounting for 21.5%), only four species inhabit both angiosperms and gymnosperms (accounting for 2%); 95 species are distributed in boreal to temperate forests and 110 in subtropical to tropical forests. In addition, 17 species, including Fomitopsis pinicola, Heterobasidion parviporum, and Phellinidium weirii etc. which were previously treated as pathogenic species in China, do not occur in China according to recent studies. In this paper, the host(s), type of forest, rot type, and distribution of each pathogenic species in China are given.

Two new species of Scytinostroma (Russulales, Basidiomycota) in Southwest China.

Two new species of Scytinostroma viz. S. acystidiatum and S. macrospermum, are described from southwest China. Phylogeny based on ITS + nLSU dataset demonstrates that samples of the two species form two independent lineages and are different in morphology from the existing species of Scytinostroma. Scytinostroma acystidiatum is characterized by resupinate, coriaceous basidiomata with cream to pale yellow hymenophore, a dimitic hyphal structure with generative hyphae bearing simple septa, the absence of cystidia, and amyloid, broadly ellipsoid basidiospores measuring 4.7-7 × 3.5-4.7 µm. Scytinostroma macrospermum is characterized by resupinate, coriaceous basidiomata with cream to straw yellow hymenophore, a dimitic hyphal structure with generative hyphae bearing simple septa, numerous cystidia embedded or projecting from hymenium, and inamyloid, ellipsoid basidiospores measuring 9-11 × 4.5-5.5 µm. The differences between the new species and morphologically similar and phylogenetically related species are discussed.

Rapid and Accurate Authentication of Porcini Mushroom Species Using Fourier Transform Near-Infrared Spectra Combined with Machine Learning and Chemometrics.

Porcini mushrooms have high nutritional value and great potential, but different species are easily confused, so it is essential to identify them rapidly and precisely. The diversity of nutrients in stipe and cap will lead to differences in spectral information. In this research, Fourier transform near-infrared (FT-NIR) spectral information about imparity species of porcini mushroom stipe and cap was collected and combined into four data matrices. FT-NIR spectra of four data sets were combined with chemometric methods and machine learning for accurate evaluation and identification of different porcini mushroom species. From the results: (1) improved visualization level of t-distributed stochastic neighbor embedding (t-SNE) results after the second derivative preprocessing compared with raw spectra; (2) after using multiple pretreatment combinations to process the four data matrices, the model accuracies based on support vector machine and partial least-square discriminant analysis (PLS-DA) under the best preprocessing method were 98.73-99.04% and 98.73-99.68%, respectively; (3) by comparing the modeling results of FT-NIR spectra with different data matrices, it was found that the PLS-DA model based on low-level data fusion has the highest accuracy (99.68%), but residual neural network (ResNet) model based on the stipe, cap, and average spectral data matrix worked better (100% accuracy). The above results suggest that distinct models should be selected for dissimilar spectral data matrices of porcini mushrooms. Additionally, FT-NIR spectra have the advantages of being nondevastate and fast; this method is expected to be a promising analytical tool in food safety control.

Taxonomy and phylogeny of Sidera (Hymenochaetales, Rickenella clade) from China and North America revealing two new species.

Sidera, belonging to the Rickenella clade of Hymenochaetales, is a worldwide genus with mostly poroid hymenophore of wood-inhabiting fungi. Two new species in the genus, Sideraamericana and S.borealis, are described and illustrated from China and North America based on morphological and molecular evidence. They were mainly found growing on rotten wood of Abies, Picea and Pinus. S.americana is characterized by annual, resupinate basidiomata with silk sheen when dry, round pores (9-11 per mm), a dimitic hyphal system, and allantoid basidiospores measuring 3.5-4.2 × 1 µm. S.borealis is characterized by annual, resupinate basidiomata with cream to pinkish buff dry pore surface, angular pores (6-7 per mm), a dimitic hyphal system, and allantoid basidiospores measuring 3.9-4.1 × 1-1.1 µm. Phylogenetic analysis based on a combined 2-locus dataset [ITS1-5.8S-ITS2 (ITS) + nuclear large subunit RNA (nLSU)] shows that the two species are members of Sidera, and they are compared with morphologically similar and phylogenetically related species, respectively. An identification key to 18 accepted species of Sidera in worldwide is provided.

Machine learning and deep learning based on the small FT-MIR dataset for fine-grained sampling site recognition of boletus tomentipes.

This study proposed the necessity of identifying the sampling sites for Boletus tomentipes (B.tomentipes) in combination with cadmium content and environmental factors. Based on fourier transform mid-infrared spectroscopy (FT-MIR) preprocessing by 1st, 2nd, MSC, SNV and SG, five machine learning (ML) algorithms (NB, DT, KNN, RF, SVM) and three Gradient Boosting Machine (GBM) algorithms (XGBoost, LightGBM, CatBoost) were built. To avoid complex preprocessing, we construct BoletusResnet model, propose the concepts of 3DCOS, 3DCOS projected images, index images in addition to 2DCOS, and combine them with deep learning (DL) for classification for the first time. It shows that GBM has higher accuracy than ML and DL has better accuracy than GBM. The four DL models presented in this paper achieve fine-grained sampling sites recognition based on small samples with 100 % accuracy, and a computer application system was developed on them. Therefore, spectral image processing combined with DL is a rapid and efficient classification method which can be widely used in food identification.

Two new species of Antrodia (Polyporales, Basidiomycota) in western China.

Two new species of Antrodia, A. aridula and A. variispora, are described from western China. Phylogeny based on a six-gene dataset (ITS + nLSU + nSSU + mtSSU + TEF1 + RPB2) demonstrates that samples of the two species form two independent lineages within the clade of Antrodia s.s. and are different in morphology from the existing species of Antrodia. Antrodia aridula is characterized by its annual and resupinate basidiocarps with angular to irregular pores of 2-3 mm each and oblong ellipsoid to cylindrical basidiospores measuring 9-12 × 4.2-5.3 µm, growing on gymnosperm wood in a dry environment. Antrodia variispora is characterized by its annual and resupinate basidiocarps with sinuous or dentate pores with a size of 1-1.5 mm each and oblong ellipsoid, fusiform, pyriform, or cylindrical basidiospores measuring 11.5-16 × 4.5-5.5 µm, growing on the wood of Picea. The differences between the new species and morphologically similar species are discussed in this article.

A contribution to Porogramme (Polyporaceae, Agaricomycetes) and related genera.

The polypores with shallow pores from tropical Asia and America are studied. Our molecular phylogeny based on the internal transcribed spacer (ITS), the large subunit nuclear ribosomal RNA gene (nLSU), the translation elongation factor 1-α gene (TEF1), and the largest subunit of RNA polymerase II (RPB1) demonstrates six clades are formed among Porogramme and related genera. Two new genera, Cyanoporus and Pseudogrammothele, are established, and the six clades represent Porogramme, Cyanoporus, Grammothele, Epithele, Theleporus, and Pseudogrammothele, respectively. The molecular clock analyses estimate the divergence times of the six clades based on a dataset (ITS + LSU + TEF1 + RPB1 + RPB2), and we recognize the mean stem ages of the six genera are earlier than 50 Mya. Three new species in Porogramme were morphologically and phylogenetically confirmed, and they are described as P. austroasiana, P. cylindrica, and P. yunnanensis. Phylogenetic analysis shows that type species of Tinctoporellus and Porogramme are nested in the same clade, and Tinctoporellus is treated as a synonym of Porogramme. Based on our phylogeny, twelve new combinations are proposed, and the differences between the new species and similar or related species are discussed.

A new effective method for identifying boletes species based on FT-MIR and three dimensional correlation spectroscopy projected image processing.

This study proposed the necessity of identifying the species for boletes in combination with the medicinal value, nutritional value and the problems existing in the industrial development of boletes. Based on the preprocessing of Fourier transform mid-infrared spectroscopy (FT-MIR) by 1st, 2nd, SNV, 2nd + MSC and 2nd + SG, Multilayer Perceptron (MLP) and CatBoost models were established. To avoid complex preprocessing and feature extraction, we try deep learning modeling methods based on image processing. In this paper, the concept of three-dimensional correlation spectroscopy (3DCOS) projection image was proposed, and 9 datasets of synchronous, asynchronous and integrative images are generated by computer method. In addition, 18 deep learning models were established for 9 image datasets with different sizes. The results showed that the accuracy of the three types of synchronous spectral models reached 100%, while the accuracy of the asynchronous spectral and integrative spectral models of 3DCOS projection images were 96.97% and 97.98% in the case of big datasets, which overcame the defects of poor modeling effect of asynchronous spectral and integrative spectral in previous two-dimensional correlation spectroscopy (2DCOS) studies. In conclusion, the modeling results of 3DCOS projection images are perfect, and we can apply this method to other identification fields in the future.

Two new corticioid species of Phanerochaetaceae (Polyporales, Basidiomycota) from Southwest China.

Two new corticioid fungi in the family Phanerochaetaceae, Phanerochaete shenghuaii and Rhizochaete variegata, are described and illustrated from Southwest China based on morphological characteristics and molecular data. Phanerochaete shenghuaii is characterized by annual, effused, inseparable basidiocarps from substrate, ivory white to cream hymenial surface when juvenile, buff to yellowish brown with age, buff in KOH, a monomitic hyphal system, smooth cystidia, and ellipsoid basidiospores measuring 4.8-6 × 2.5-3.8 µm. Rhizochaete variegata is characterized by annual, effused, easily separable basidiocarps from substrate, buff-yellow to clay-pink fresh hymenial surface becoming cream to buff upon drying, violet in KOH, a monomitic hyphal system, encrusted cystidia, and ellipsoid basidiospores measuring 3-4 × 2.2-3 µm. The phylogenetic analyses based on ITS + nLSU rDNA sequences confirm the placement of the two new species, respectively, in the Phanerochaete clade and the Rhizochaete clade of Phanerochaetaceae. Phylogenetically related and morphologically similar species to these two new species are discussed.

Application of UV-Vis and Infrared Spectroscopy on Wild Edible Bolete Mushrooms Discrimination and Evaluation: A Review.

Nowadays, wild edible bolete mushrooms are more and more attractive among consumers due to their natural health, nutrition, and delicious characteristics. Appropriate analytical techniques together with multivariate statistics analysis are required for the quality control and evaluation of these edible mushrooms. Ultraviolet-visible (UV-Vis) and infrared (IR) technologies have the advantages of time-saving, low-cost, and environmentally friendly, are now prominent among major analytical technologies for quality evaluation of bolete mushrooms. Chemometrics methods have been developed to solve classification and regression issues of bolete mushrooms in combination with spectrum. This paper reviewed the most recent applications of UV-Vis and IR technology coupled with chemometrics in wild edible bolete mushrooms, including the identification of species, origin, and storage duration, fraud detection, and antioxidant properties evaluation, and discussed the limitations and prospects of spectroscopy technologies in the researches of bolete mushrooms, excepting to provide a reference for further research and practical application of wild edible bolete mushrooms.

Application of Identification and Evaluation Techniques for Edible Mushrooms: A Review.

Edible mushrooms are healthy food with high nutritional value, which is popular with consumers. With the increase of the problem of mushrooms being confused with the real and pollution in the market, people pay more and more attention to food safety. More than 167 articles of edible mushroom published in the past 20 years were reviewed in this paper. The analysis tools and data analysis methods of identification and quality evaluation of edible mushroom species, origin, mineral elements were reviewed. Five techniques for identification and evaluation of edible mushrooms were introduced and summarized. The macroscopic, microscopic and molecular identification techniques can be used to identify species. Chromatography, spectroscopy technology combined with chemometrics can be used for qualitative and quantitative study of mushroom and evaluation of mushroom quality. In addition, multiple supervised pattern-recognition techniques have good classification ability. Deep learning is more and more widely used in edible mushroom, which shows its advantages in image recognition and prediction. These techniques and analytical methods can provide strong support and guarantee for the identification and evaluation of mushroom, which is of great significance to the development and utilization of edible mushroom.