The enzyme patterns of Ascomycota and Basidiomycota fungi reveal their different functions in soil

擔子菌門 子囊菌纲 生物 植物 菌丝体 真菌 生物化学 基因
作者
L. Manici,F. Caputo,Davide De Sabata,Flavio Fornasier
出处
期刊:Applied Soil Ecology [Elsevier BV]
卷期号:196: 105323-105323 被引量:43
标识
DOI:10.1016/j.apsoil.2024.105323
摘要

The enzyme profile of a series of fungal isolates belonging to Ascomycota and Basidiomycota was analysed for a better understanding of the functional significance of their changes in soil with a specific focus on the carbon cycle. Two synthetic populations of Ascomycota and Basidiomycota isolates were compared on the basis of their enzymatic profiles. The activities of twenty-five enzymes extracted from the mycelium of pure fungal colonies were quantified in microplates using fluorogenic substrates. The enzyme activities were divided by the dsDNA content of each fungal colony and subjected to multivariate analysis. Ascomycota and Basidiomycota differed significantly (P = 0.0001) in enzyme profile. Ascomycetes showed a broader enzymatic profile than Basidiomycetes. In the latter, seven out of the twenty-five enzyme activities detected in Ascomycetes were absent, including the enzymes of phosphorus and sulphur metabolisms and alpha-galactosidase. To the contrary, many enzymes responsible for plant polysaccharide degradation, such as alpha-galactosidase, beta-mannosidase or xilosidase were detected in the isolates of both fungal phyla. This indicates likely underestimated ability of Basidiomycetes to degrade plant polysaccharides, apart from their specific ability to decompose lignin. To the contrary, the widest enzyme profile of Ascomycota and their highest enzymatic inter- and intra-genus variability indicates their higher adaptability to metabolize different crop residues and litters.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
dty完成签到 ,获得积分10
2秒前
like完成签到,获得积分10
2秒前
2秒前
郭盾发布了新的文献求助10
3秒前
xgx984完成签到,获得积分10
4秒前
良辰应助欢喜采纳,获得10
4秒前
5秒前
123完成签到,获得积分10
6秒前
CipherSage应助浓雾采纳,获得10
7秒前
hsialy发布了新的文献求助10
9秒前
英姑应助nczpf2010采纳,获得10
12秒前
华仔应助ff567采纳,获得10
13秒前
MaFY完成签到,获得积分10
14秒前
14秒前
啵啵完成签到,获得积分20
15秒前
FashionBoy应助Lulu采纳,获得10
15秒前
科研通AI5应助郭盾采纳,获得10
15秒前
L同学发布了新的文献求助10
17秒前
juju完成签到,获得积分20
18秒前
Jeffery完成签到,获得积分10
18秒前
18秒前
深情安青应助吴昊东采纳,获得10
21秒前
21秒前
23秒前
24秒前
24秒前
右边完成签到,获得积分10
24秒前
25秒前
25秒前
25秒前
万能图书馆应助liubin采纳,获得10
27秒前
aaafa发布了新的文献求助10
28秒前
ff567发布了新的文献求助10
28秒前
所所应助大鱼采纳,获得10
29秒前
ikress完成签到,获得积分10
30秒前
30秒前
思源应助mingjiang采纳,获得10
32秒前
汉堡包应助科研通管家采纳,获得10
32秒前
hsialy完成签到,获得积分10
33秒前
彭于晏应助科研通管家采纳,获得10
33秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Genome Editing and Engineering: From TALENs, ZFNs and CRISPRs to Molecular Surgery 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
幼儿游戏与指导(第二版) 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3833450
求助须知:如何正确求助?哪些是违规求助? 3375894
关于积分的说明 10490983
捐赠科研通 3095467
什么是DOI,文献DOI怎么找? 1704367
邀请新用户注册赠送积分活动 820033
科研通“疑难数据库(出版商)”最低求助积分说明 771703