Microbial colonization on the leaf surfaces of different genotypes of Napier grass.
Identifieur interne : 000021 ( Main/Exploration ); précédent : 000020; suivant : 000022Microbial colonization on the leaf surfaces of different genotypes of Napier grass.
Auteurs : Guojian Tang [République populaire de Chine] ; Liuxing Xu [République populaire de Chine] ; Xiang Yin [République populaire de Chine] ; Yaqin Hu [République populaire de Chine] ; Jing Tian [République populaire de Chine] ; Jianguo Zhang [République populaire de Chine]Source :
- Archives of microbiology [ 1432-072X ] ; 2020.
Abstract
To address correlations between population sizes of microbes on the leaf surfaces and leaf morphological and physicochemical properties, various leaf morphological and physicochemical features as possible predictors of microbial population sizes on the leaf surfaces of four Napier grass cultivars were assessed. Results indicated microbes except for lactic acid bacteria (LAB) preferred to colonize the leaf surfaces bearing trichomes, and their population sizes were significantly correlated with trichomes, especially for yeasts. The population sizes of microbes were positively correlated with soluble sugar content (p < 0.05). Furthermore, no significant correlation was found between population sizes of microbes and wax content, except for yeasts. The multivariate regression trees (MRT) analysis showed different genotypes of leaf-microbe system could be characterized by four-leaf attributes with soluble sugar of leaf tissues being the primary explanatory attribute. Leaves with soluble sugar content below 9.72 mg g-1 fresh weight (FW) were rarely colonized. For leaves with soluble sugar content above 9.72 mg g-1 FW, water content was the next explanatory leaf attribute, followed by wax content on the leaf surfaces. Leaves with higher water content (> 73%) were more colonized, and small microbial population was associated with higher wax content (> 10.66 mg g-1 dry matter). In conclusion, leaf chemical attributes have a higher contribution than morphological structure properties in determining population sizes of microbes on the leaf surfaces. The exuded soluble sugar and protein promote the development of microbial populations. For different genotypes of leaf-microbe system, the relationship between microbial abundance on their leaf surfaces and leaf morphological structure or physicochemical properties may be predicted by the MRT. Population sizes of microbes are primarily influenced by soluble sugar content under the water-rich conditions.
DOI: 10.1007/s00203-020-02025-4
PubMed: 32945890
Affiliations:
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Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China. tanguojian1988@163.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642</wicri:regionArea><wicri:noRegion>510642</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Liuxing" sort="Xu, Liuxing" uniqKey="Xu L" first="Liuxing" last="Xu">Liuxing Xu</name><affiliation wicri:level="1"><nlm:affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642</wicri:regionArea><wicri:noRegion>510642</wicri:noRegion></affiliation></author><author><name sortKey="Yin, Xiang" sort="Yin, Xiang" uniqKey="Yin X" first="Xiang" last="Yin">Xiang Yin</name><affiliation wicri:level="1"><nlm:affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642</wicri:regionArea><wicri:noRegion>510642</wicri:noRegion></affiliation></author><author><name sortKey="Hu, Yaqin" sort="Hu, Yaqin" uniqKey="Hu Y" first="Yaqin" last="Hu">Yaqin Hu</name><affiliation wicri:level="1"><nlm:affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of 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type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To address correlations between population sizes of microbes on the leaf surfaces and leaf morphological and physicochemical properties, various leaf morphological and physicochemical features as possible predictors of microbial population sizes on the leaf surfaces of four Napier grass cultivars were assessed. Results indicated microbes except for lactic acid bacteria (LAB) preferred to colonize the leaf surfaces bearing trichomes, and their population sizes were significantly correlated with trichomes, especially for yeasts. The population sizes of microbes were positively correlated with soluble sugar content (p < 0.05). Furthermore, no significant correlation was found between population sizes of microbes and wax content, except for yeasts. The multivariate regression trees (MRT) analysis showed different genotypes of leaf-microbe system could be characterized by four-leaf attributes with soluble sugar of leaf tissues being the primary explanatory attribute. Leaves with soluble sugar content below 9.72 mg g<sup>-1</sup> fresh weight (FW) were rarely colonized. For leaves with soluble sugar content above 9.72 mg g<sup>-1</sup> FW, water content was the next explanatory leaf attribute, followed by wax content on the leaf surfaces. Leaves with higher water content (> 73%) were more colonized, and small microbial population was associated with higher wax content (> 10.66 mg g<sup>-1</sup> dry matter). In conclusion, leaf chemical attributes have a higher contribution than morphological structure properties in determining population sizes of microbes on the leaf surfaces. The exuded soluble sugar and protein promote the development of microbial populations. For different genotypes of leaf-microbe system, the relationship between microbial abundance on their leaf surfaces and leaf morphological structure or physicochemical properties may be predicted by the MRT. Population sizes of microbes are primarily influenced by soluble sugar content under the water-rich conditions.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">32945890</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1432-072X</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Sep</Month><Day>18</Day></PubDate></JournalIssue><Title>Archives of microbiology</Title><ISOAbbreviation>Arch Microbiol</ISOAbbreviation></Journal><ArticleTitle>Microbial colonization on the leaf surfaces of different genotypes of Napier grass.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1007/s00203-020-02025-4</ELocationID><Abstract><AbstractText>To address correlations between population sizes of microbes on the leaf surfaces and leaf morphological and physicochemical properties, various leaf morphological and physicochemical features as possible predictors of microbial population sizes on the leaf surfaces of four Napier grass cultivars were assessed. Results indicated microbes except for lactic acid bacteria (LAB) preferred to colonize the leaf surfaces bearing trichomes, and their population sizes were significantly correlated with trichomes, especially for yeasts. The population sizes of microbes were positively correlated with soluble sugar content (p < 0.05). Furthermore, no significant correlation was found between population sizes of microbes and wax content, except for yeasts. The multivariate regression trees (MRT) analysis showed different genotypes of leaf-microbe system could be characterized by four-leaf attributes with soluble sugar of leaf tissues being the primary explanatory attribute. Leaves with soluble sugar content below 9.72 mg g<sup>-1</sup> fresh weight (FW) were rarely colonized. For leaves with soluble sugar content above 9.72 mg g<sup>-1</sup> FW, water content was the next explanatory leaf attribute, followed by wax content on the leaf surfaces. Leaves with higher water content (> 73%) were more colonized, and small microbial population was associated with higher wax content (> 10.66 mg g<sup>-1</sup> dry matter). In conclusion, leaf chemical attributes have a higher contribution than morphological structure properties in determining population sizes of microbes on the leaf surfaces. The exuded soluble sugar and protein promote the development of microbial populations. For different genotypes of leaf-microbe system, the relationship between microbial abundance on their leaf surfaces and leaf morphological structure or physicochemical properties may be predicted by the MRT. Population sizes of microbes are primarily influenced by soluble sugar content under the water-rich conditions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Tang</LastName><ForeName>Guojian</ForeName><Initials>G</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-0629-5159</Identifier><AffiliationInfo><Affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China. tanguojian1988@163.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Liuxing</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yin</LastName><ForeName>Xiang</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hu</LastName><ForeName>Yaqin</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tian</LastName><ForeName>Jing</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Jianguo</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>South Pratacultural Center, South China Agricultural University/Guangdong Engineering Research Center of Grassland Science, Guangzhou, 510642, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>31672486</GrantID><Agency>National Natural Science Foundation of China</Agency><Country></Country></Grant><Grant><GrantID>31971764</GrantID><Agency>National Natural Science Foundation of China</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Arch Microbiol</MedlineTA><NlmUniqueID>0410427</NlmUniqueID><ISSNLinking>0302-8933</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Epiphytic microbes</Keyword><Keyword MajorTopicYN="N">Leaf surface traits</Keyword><Keyword MajorTopicYN="N">Leaf–microbe interaction</Keyword><Keyword MajorTopicYN="N">Plant genotype</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>09</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>08</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>18</Day><Hour>12</Hour><Minute>12</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32945890</ArticleId><ArticleId IdType="doi">10.1007/s00203-020-02025-4</ArticleId><ArticleId IdType="pii">10.1007/s00203-020-02025-4</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Tang, Guojian" sort="Tang, Guojian" uniqKey="Tang G" first="Guojian" last="Tang">Guojian Tang</name></noRegion><name sortKey="Hu, Yaqin" sort="Hu, Yaqin" uniqKey="Hu Y" first="Yaqin" last="Hu">Yaqin Hu</name><name sortKey="Tian, Jing" sort="Tian, Jing" uniqKey="Tian J" first="Jing" last="Tian">Jing Tian</name><name sortKey="Xu, Liuxing" sort="Xu, Liuxing" uniqKey="Xu L" first="Liuxing" last="Xu">Liuxing Xu</name><name sortKey="Yin, Xiang" sort="Yin, Xiang" uniqKey="Yin X" first="Xiang" last="Yin">Xiang Yin</name><name sortKey="Zhang, Jianguo" sort="Zhang, Jianguo" uniqKey="Zhang J" first="Jianguo" last="Zhang">Jianguo Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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