High spatial resolution mass spectrometry imaging reveals the genetically programmed, developmental modification of the distribution of thylakoid membrane lipids among individual cells of maize leaf
Abstract
Summary Metabolism in plants is compartmentalized among different tissues, cells and subcellular organelles. Mass spectrometry imaging ( MSI ) with matrix‐assisted laser desorption ionization ( MALDI ) has recently advanced to allow for the visualization of metabolites at single‐cell resolution. Here we applied 5‐ and 10 μm high spatial resolution MALDI ‐ MSI to the asymmetric Kranz anatomy of Zea mays (maize) leaves to study the differential localization of two major anionic lipids in thylakoid membranes, sulfoquinovosyldiacylglycerols ( SQDG ) and phosphatidylglycerols ( PG ). The quantification and localization of SQDG and PG molecular species, among mesophyll (M) and bundle sheath ( BS ) cells, are compared across the leaf developmental gradient from four maize genotypes (the inbreds B73 and Mo17, and the reciprocal hybrids B73 × Mo17 and Mo17 × B73). SQDG species are uniformly distributed in both photosynthetic cell types, regardless of leaf development or genotype; however, PG shows photosynthetic cell‐specific differential localization depending on the genotype and the fatty acyl chain constituent. Overall, 16:1‐containing PG s primarily contribute to the thylakoid membranes of M cells, whereas BS chloroplasts are mostly composed of 16:0‐containing PG s. Furthermore, PG 32:0 shows genotype‐specific differences in cellular distribution, with preferential localization in BS cells for B73,more »
- Authors:
-
- Ames Lab. and Iowa State Univ., Ames, IA (United States)
- Iowa State Univ., Ames, IA (United States)
- Publication Date:
- Research Org.:
- Ames Laboratory (AMES), Ames, IA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1347407
- Alternate Identifier(s):
- OSTI ID: 1401250
- Report Number(s):
- IS-J-9218
Journal ID: ISSN 0960-7412
- Grant/Contract Number:
- EEC-0813570; IOS-1354799; AC02-07CH11358
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The Plant Journal
- Additional Journal Information:
- Journal Volume: 89; Journal Issue: 4; Journal ID: ISSN 0960-7412
- Publisher:
- Society for Experimental Biology
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; mass spectrometry imaging; Kranz anatomy; Zea mays L.; bundle sheath; mesophyll; B73; Mo17; single cell
Citation Formats
Duenas, Maria Emilia, Klein, Adam T., Alexander, Liza E., Yandeau-Nelson, Marna D., Nikolau, Basil J., and Lee, Young Jin. High spatial resolution mass spectrometry imaging reveals the genetically programmed, developmental modification of the distribution of thylakoid membrane lipids among individual cells of maize leaf. United States: N. p., 2016.
Web. doi:10.1111/tpj.13422.
Duenas, Maria Emilia, Klein, Adam T., Alexander, Liza E., Yandeau-Nelson, Marna D., Nikolau, Basil J., & Lee, Young Jin. High spatial resolution mass spectrometry imaging reveals the genetically programmed, developmental modification of the distribution of thylakoid membrane lipids among individual cells of maize leaf. United States. https://doi.org/10.1111/tpj.13422
Duenas, Maria Emilia, Klein, Adam T., Alexander, Liza E., Yandeau-Nelson, Marna D., Nikolau, Basil J., and Lee, Young Jin. Thu .
"High spatial resolution mass spectrometry imaging reveals the genetically programmed, developmental modification of the distribution of thylakoid membrane lipids among individual cells of maize leaf". United States. https://doi.org/10.1111/tpj.13422. https://www.osti.gov/servlets/purl/1347407.
@article{osti_1347407,
title = {High spatial resolution mass spectrometry imaging reveals the genetically programmed, developmental modification of the distribution of thylakoid membrane lipids among individual cells of maize leaf},
author = {Duenas, Maria Emilia and Klein, Adam T. and Alexander, Liza E. and Yandeau-Nelson, Marna D. and Nikolau, Basil J. and Lee, Young Jin},
abstractNote = {Summary Metabolism in plants is compartmentalized among different tissues, cells and subcellular organelles. Mass spectrometry imaging ( MSI ) with matrix‐assisted laser desorption ionization ( MALDI ) has recently advanced to allow for the visualization of metabolites at single‐cell resolution. Here we applied 5‐ and 10 μm high spatial resolution MALDI ‐ MSI to the asymmetric Kranz anatomy of Zea mays (maize) leaves to study the differential localization of two major anionic lipids in thylakoid membranes, sulfoquinovosyldiacylglycerols ( SQDG ) and phosphatidylglycerols ( PG ). The quantification and localization of SQDG and PG molecular species, among mesophyll (M) and bundle sheath ( BS ) cells, are compared across the leaf developmental gradient from four maize genotypes (the inbreds B73 and Mo17, and the reciprocal hybrids B73 × Mo17 and Mo17 × B73). SQDG species are uniformly distributed in both photosynthetic cell types, regardless of leaf development or genotype; however, PG shows photosynthetic cell‐specific differential localization depending on the genotype and the fatty acyl chain constituent. Overall, 16:1‐containing PG s primarily contribute to the thylakoid membranes of M cells, whereas BS chloroplasts are mostly composed of 16:0‐containing PG s. Furthermore, PG 32:0 shows genotype‐specific differences in cellular distribution, with preferential localization in BS cells for B73, but more uniform distribution between BS and M cells in Mo17. Maternal inheritance is exhibited within the hybrids, such that the localization of PG 32:0 in B73 × Mo17 is similar to the distribution in the B73 parental inbred, whereas that of Mo17 × B73 resembles the Mo17 parent. This study demonstrates the power of MALDI ‐ MSI to reveal unprecedented insights on metabolic outcomes in multicellular organisms at single‐cell resolution.},
doi = {10.1111/tpj.13422},
journal = {The Plant Journal},
number = 4,
volume = 89,
place = {United States},
year = {Thu Nov 17 00:00:00 EST 2016},
month = {Thu Nov 17 00:00:00 EST 2016}
}
Web of Science
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