A comparative study on the distinct staygreen characteristics of two ecological types of Leymus chinensis (Poaceae)

The stay-green phenotype is a valuable trait positively correlating with both forage quality and biomass production in perennial grasses. To date, with the exception of <i>Festuca pratensis</i>, no naturally occurring stay-green species have been reported among forage grasses. <i>Leymus chinensis</i> is an important forage species that presents two phenotypes: gray-green (GG) leaves and yellow-green (YG) leaves. In this study, we discovered that GG <i>L. chinensis</i> exhibited functional stay-green characteristics: both chlorophyll and photosynthesis were maintained at higher levels after 6 days of dark treatment, which is significantly different from that of the YG ecotype. Along with higher level of chlorophyll, GG also maintained high concentrations protein nutrient in darkness. In the case of YG, darkness significantly increased the expressions of <i>NYC1</i> and <i>NOL</i>, which are responsible for initiating the chlorophyll degradation. However, the dark treatment did not alter the expression of <i>NOL</i> in the GG leaves, and the induction of <i>NYC1</i> expression by darkness in GG was also significantly weaker than that observed in YG. This discrepancy could account for the slower rate of chlorophyll degradation observed in GG under dark conditions than in YG.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-11-13
DOI
https://doi.org/10.3389/fpls.2025.1707645
Primary Topic
Photosynthetic Processes and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparative study on the distinct staygreen characteristics of two ecological types of Leymus chinensis (Poaceae)

Lijuan Ma, Xinxia Wang, Huihui Shi, Lingang Zhang et al.
Frontiers in Plant Science
Photosynthetic Processes and Mechanisms
article

A comparative study on the distinct staygreen characteristics of two ecological types of Leymus chinensis (Poaceae)

Lijuan Ma, Xinxia Wang, Huihui Shi, Lingang Zhang, Xu Yang, Haoyang Yu, Baozhu Dong, Naren Gaowa, R T Hao
article en

Abstract

The stay-green phenotype is a valuable trait positively correlating with both forage quality and biomass production in perennial grasses. To date, with the exception of <i>Festuca pratensis</i>, no naturally occurring stay-green species have been reported among forage grasses. <i>Leymus chinensis</i> is an important forage species that presents two phenotypes: gray-green (GG) leaves and yellow-green (YG) leaves. In this study, we discovered that GG <i>L. chinensis</i> exhibited functional stay-green characteristics: both chlorophyll and photosynthesis were maintained at higher levels after 6 days of dark treatment, which is significantly different from that of the YG ecotype. Along with higher level of chlorophyll, GG also maintained high concentrations protein nutrient in darkness. In the case of YG, darkness significantly increased the expressions of <i>NYC1</i> and <i>NOL</i>, which are responsible for initiating the chlorophyll degradation. However, the dark treatment did not alter the expression of <i>NOL</i> in the GG leaves, and the induction of <i>NYC1</i> expression by darkness in GG was also significantly weaker than that observed in YG. This discrepancy could account for the slower rate of chlorophyll degradation observed in GG under dark conditions than in YG.

Frontiers in Plant ScienceVol. 16
Inner Mongolia Agricultural University (CN), Inner Mongolia University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 70%
Photosynthetic Processes and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.