Grain size and shape reflects variability in metabolite and elemental composition in traditional rice varieties
Traditional rice varieties serve as a pool for diverse germplasm. Present study investigates the compositional variability of metabolites and elements in traditional rice varieties with varying grain size and shape. Grain quality characterization of traditional rice varieties including medium, small...
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Veröffentlicht in: | Journal of food measurement & characterization 2020-02, Vol.14 (1), p.114-124 |
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description | Traditional rice varieties serve as a pool for diverse germplasm. Present study investigates the compositional variability of metabolites and elements in traditional rice varieties with varying grain size and shape. Grain quality characterization of traditional rice varieties including medium, small and bold shaped grain types was performed. Additionally, whether these differences in the size and shape of varieties are reflected in the metabolite and elemental composition of their grains was explored. Two major clusters were obtained from hierarchical clustering of varieties based on the similarities of grain size and shape. The second cluster was further separated into four sub-clusters (clusters II, III, IV and V). A single variety representative of each cluster was selected for further analysis. Metabolite analysis and elemental analysis of grains was carried out by gas chromatography mass spectrometry (GC–MS) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. A total of 47 metabolites belonging to different metabolite groups and a total of 35 minerals were identified from dehulled grains of selected varieties. Distinct differences detected amongst the representative varieties from five clusters with respect to their metabolite and elemental profiles were further confirmed by partial least square discriminant analysis (PLS-DA) of the data obtained from both GC–MS and ICP-MS platforms. This study further highlights the usefulness of metabolite and elemental profiling complemented by suitable statistical tools to explore the prospect of an inherent correlation between grain quality features, biochemical composition and genetic background. |
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Present study investigates the compositional variability of metabolites and elements in traditional rice varieties with varying grain size and shape. Grain quality characterization of traditional rice varieties including medium, small and bold shaped grain types was performed. Additionally, whether these differences in the size and shape of varieties are reflected in the metabolite and elemental composition of their grains was explored. Two major clusters were obtained from hierarchical clustering of varieties based on the similarities of grain size and shape. The second cluster was further separated into four sub-clusters (clusters II, III, IV and V). A single variety representative of each cluster was selected for further analysis. Metabolite analysis and elemental analysis of grains was carried out by gas chromatography mass spectrometry (GC–MS) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. A total of 47 metabolites belonging to different metabolite groups and a total of 35 minerals were identified from dehulled grains of selected varieties. Distinct differences detected amongst the representative varieties from five clusters with respect to their metabolite and elemental profiles were further confirmed by partial least square discriminant analysis (PLS-DA) of the data obtained from both GC–MS and ICP-MS platforms. This study further highlights the usefulness of metabolite and elemental profiling complemented by suitable statistical tools to explore the prospect of an inherent correlation between grain quality features, biochemical composition and genetic background.</description><identifier>ISSN: 2193-4126</identifier><identifier>EISSN: 2193-4134</identifier><identifier>DOI: 10.1007/s11694-019-00273-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Biochemical composition ; Chemical composition ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Cluster analysis ; Clustering ; Discriminant analysis ; Emission spectroscopy ; Engineering ; Food Science ; Gas chromatography ; Germplasm ; Grain size ; Inductively coupled plasma mass spectrometry ; Mass spectrometry ; Mass spectroscopy ; Metabolites ; Minerals ; Original Paper ; Particle size ; Rice ; Scientific imaging ; Variability</subject><ispartof>Journal of food measurement & characterization, 2020-02, Vol.14 (1), p.114-124</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Journal of Food Measurement and Characterization is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-80ec29bc47b747bc408ccfa1517ef9ed56a82726462ca752d88917e3308d54de3</citedby><cites>FETCH-LOGICAL-c319t-80ec29bc47b747bc408ccfa1517ef9ed56a82726462ca752d88917e3308d54de3</cites><orcidid>0000-0002-1740-8147</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11694-019-00273-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11694-019-00273-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Kotamreddy, Jhansi Narmada Reddy</creatorcontrib><creatorcontrib>Barman, Monica</creatorcontrib><creatorcontrib>Sharma, Laxuman</creatorcontrib><creatorcontrib>Mitra, Adinpunya</creatorcontrib><title>Grain size and shape reflects variability in metabolite and elemental composition in traditional rice varieties</title><title>Journal of food measurement & characterization</title><addtitle>Food Measure</addtitle><description>Traditional rice varieties serve as a pool for diverse germplasm. Present study investigates the compositional variability of metabolites and elements in traditional rice varieties with varying grain size and shape. Grain quality characterization of traditional rice varieties including medium, small and bold shaped grain types was performed. Additionally, whether these differences in the size and shape of varieties are reflected in the metabolite and elemental composition of their grains was explored. Two major clusters were obtained from hierarchical clustering of varieties based on the similarities of grain size and shape. The second cluster was further separated into four sub-clusters (clusters II, III, IV and V). A single variety representative of each cluster was selected for further analysis. Metabolite analysis and elemental analysis of grains was carried out by gas chromatography mass spectrometry (GC–MS) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. A total of 47 metabolites belonging to different metabolite groups and a total of 35 minerals were identified from dehulled grains of selected varieties. Distinct differences detected amongst the representative varieties from five clusters with respect to their metabolite and elemental profiles were further confirmed by partial least square discriminant analysis (PLS-DA) of the data obtained from both GC–MS and ICP-MS platforms. This study further highlights the usefulness of metabolite and elemental profiling complemented by suitable statistical tools to explore the prospect of an inherent correlation between grain quality features, biochemical composition and genetic background.</description><subject>Biochemical composition</subject><subject>Chemical composition</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Discriminant analysis</subject><subject>Emission spectroscopy</subject><subject>Engineering</subject><subject>Food Science</subject><subject>Gas chromatography</subject><subject>Germplasm</subject><subject>Grain size</subject><subject>Inductively coupled plasma mass spectrometry</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Metabolites</subject><subject>Minerals</subject><subject>Original Paper</subject><subject>Particle size</subject><subject>Rice</subject><subject>Scientific imaging</subject><subject>Variability</subject><issn>2193-4126</issn><issn>2193-4134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kE9LxDAQxYMouOh-AU8Fz9X8a9IcZdFVWPCi55CmU83SNjXJCuunN7sVvXkYMsP83mPyELoi-IZgLG8jIULxEhNVYkwlK-UJWlCiWMkJ46e_PRXnaBnjFmNMiORcsAXy62DcWET3BYUZ2yK-mwmKAF0PNsXi0wRnGte7tC8yNkAyjc_TDEMPA4zJ9IX1w-SjS86PBy4F0x6HvArOwtEHkoN4ic4600dY_rwX6PXh_mX1WG6e10-ru01pGVGprDFYqhrLZSNzWY5raztDKiKhU9BWwtRUUsEFtUZWtK1rlVeM4bqteAvsAl3PvlPwHzuISW_9LuR7oqZU1YoKUZNM0ZmywceYf62n4AYT9ppgfchWz9nqnK0-ZqtlFrFZFDM8vkH4s_5H9Q3gun3C</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Kotamreddy, Jhansi Narmada Reddy</creator><creator>Barman, Monica</creator><creator>Sharma, Laxuman</creator><creator>Mitra, Adinpunya</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-1740-8147</orcidid></search><sort><creationdate>20200201</creationdate><title>Grain size and shape reflects variability in metabolite and elemental composition in traditional rice varieties</title><author>Kotamreddy, Jhansi Narmada Reddy ; Barman, Monica ; Sharma, Laxuman ; Mitra, Adinpunya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-80ec29bc47b747bc408ccfa1517ef9ed56a82726462ca752d88917e3308d54de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biochemical composition</topic><topic>Chemical composition</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Discriminant analysis</topic><topic>Emission spectroscopy</topic><topic>Engineering</topic><topic>Food Science</topic><topic>Gas chromatography</topic><topic>Germplasm</topic><topic>Grain size</topic><topic>Inductively coupled plasma mass spectrometry</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Metabolites</topic><topic>Minerals</topic><topic>Original Paper</topic><topic>Particle size</topic><topic>Rice</topic><topic>Scientific imaging</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kotamreddy, Jhansi Narmada Reddy</creatorcontrib><creatorcontrib>Barman, Monica</creatorcontrib><creatorcontrib>Sharma, Laxuman</creatorcontrib><creatorcontrib>Mitra, Adinpunya</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Journal of food measurement & characterization</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kotamreddy, Jhansi Narmada Reddy</au><au>Barman, Monica</au><au>Sharma, Laxuman</au><au>Mitra, Adinpunya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Grain size and shape reflects variability in metabolite and elemental composition in traditional rice varieties</atitle><jtitle>Journal of food measurement & characterization</jtitle><stitle>Food Measure</stitle><date>2020-02-01</date><risdate>2020</risdate><volume>14</volume><issue>1</issue><spage>114</spage><epage>124</epage><pages>114-124</pages><issn>2193-4126</issn><eissn>2193-4134</eissn><abstract>Traditional rice varieties serve as a pool for diverse germplasm. Present study investigates the compositional variability of metabolites and elements in traditional rice varieties with varying grain size and shape. Grain quality characterization of traditional rice varieties including medium, small and bold shaped grain types was performed. Additionally, whether these differences in the size and shape of varieties are reflected in the metabolite and elemental composition of their grains was explored. Two major clusters were obtained from hierarchical clustering of varieties based on the similarities of grain size and shape. The second cluster was further separated into four sub-clusters (clusters II, III, IV and V). A single variety representative of each cluster was selected for further analysis. Metabolite analysis and elemental analysis of grains was carried out by gas chromatography mass spectrometry (GC–MS) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. A total of 47 metabolites belonging to different metabolite groups and a total of 35 minerals were identified from dehulled grains of selected varieties. Distinct differences detected amongst the representative varieties from five clusters with respect to their metabolite and elemental profiles were further confirmed by partial least square discriminant analysis (PLS-DA) of the data obtained from both GC–MS and ICP-MS platforms. This study further highlights the usefulness of metabolite and elemental profiling complemented by suitable statistical tools to explore the prospect of an inherent correlation between grain quality features, biochemical composition and genetic background.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11694-019-00273-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-1740-8147</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biochemical composition Chemical composition Chemistry Chemistry and Materials Science Chemistry/Food Science Cluster analysis Clustering Discriminant analysis Emission spectroscopy Engineering Food Science Gas chromatography Germplasm Grain size Inductively coupled plasma mass spectrometry Mass spectrometry Mass spectroscopy Metabolites Minerals Original Paper Particle size Rice Scientific imaging Variability |
title | Grain size and shape reflects variability in metabolite and elemental composition in traditional rice varieties |
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