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Dissecting the genetic basis of maize deep-sowing tolerance by combining association mapping and gene expression analysis
YANG Yue, MA Yu-ting, LIU Yang-yang, Demar LYLE, LI Dong-dong, WANG Ping-xi, XU Jia-liang, ZHEN Si-han, LU Jia-wen, PENG Yun-ling, CUI Yu, FU Jun-jie, DU Wan-li, ZHANG Hong-wei, WANG Jian-hua
2022, 21 (5): 1266-1277.   DOI: 10.1016/S2095-3119(21)63649-3
Abstract150)      PDF in ScienceDirect      
Deep-sowing is an important method for avoiding drought stress in crop species, including maize.  Identifying candidate genes is the groundwork for investigating the molecular mechanism underlying maize deep-sowing tolerance.  This study evaluated four traits (mesocotyl length at 10 and 20 cm planting depths and seedling emergence rate on days 6 and 12) related to deep-sowing tolerance using a large maize population containing 386 inbred lines genotyped with 0.5 million high-quality single nucleotide polymorphisms (SNPs).  The genome-wide association study detected that 273 SNPs were in linkage disequilibrium (LD) with the genetic basis of maize deep-sowing tolerance.  The RNA-sequencing analysis identified 1 944 and 2 098 differentially expressed genes (DEGs) in two comparisons, which shared 281 DEGs.  By comparing the genomic locations of the 273 SNPs with those of the 281 DEGs, we identified seven candidate genes, of which GRMZM2G119769 encoded a sucrose non-fermenting 1 kinase interactor-like protein.  GRMZM2G119769 was selected as the candidate gene because its homologs in other plants were related to organ length, auxin, or light response.  Candidate gene association mapping revealed that natural variations in GRMZM2G119769 were related to phenotypic variations in maize mesocotyl length.  Gene expression of GRMZM2G119769 was higher in deep-sowing tolerant inbred lines.  These results suggest that GRMZM2G119769 is the most likely candidate gene.  This study provides information on the deep-sowing tolerance of maize germplasms and identifies candidate genes, which would be useful for further research on maize deep-sowing tolerance.
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GraS is critical for chloroplast development and affects yield in rice 
DU Zhi-xuan, HAO Hui-ying, HE Jin-peng, WANG Jian-ping, HUANG Zhou, XU Jie, FU Hai-hui, FU Jun-ru, HE Hao-hua
2020, 19 (11): 2603-2615.   DOI: 10.1016/S2095-3119(19)62859-5
Abstract140)      PDF in ScienceDirect      
Leaf color has been considered an important agronomic trait in rice (Oryza sativa L.) for a long time.  The changes in leaf color affect the yield of rice.  In this study, a green-revertible albino (graS) mutant was isolated from a 60Co-gamma-irradiated mutant pool of indica cultivar Guangzhan 63-4S.  The fine mapping indicated that graS mutant was mapped to chromosome 1, and was located in a confined region between markers ab134 and InDel 8 with genetic distances of 0.11 and 0.06 cM, respectively.  Based on the annotation results, four open reading frames (ORFs) were predicted in this region.  Sequence analysis revealed that LOC_Os01g55974 had a 2-bp nucleotide insertion (AA) in the coding region that led to premature termination at the 324th base.  Sequence analysis and expression analysis of related genes indicated that LOC_Os01g55974 is the candidate gene of GraS.  We studied the genome and protein sequences of LOC_Os01g55974, and the data showed that GraS contains a deoxycytidine deaminase domain, which was expressed ubiquitously in all tissues.  Further investigation indicated that GraS plays an essential role in the regulation of chloroplast biosynthesis, photosynthetic capacity and yield.  Moreover, leaf color mutant can be used as an effective marker for the purity of breeding and hybridization.
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Post-silking nitrogen accumulation and remobilization are associated with green leaf persistence and plant density in maize
ZHANG Li-li, ZHOU Xiang-li, FAN Ye, FU Jun, HOU Peng, YANG Hai-long, QI Hua
2019, 18 (8): 1882-1892.   DOI: 10.1016/S2095-3119(18)62087-8
Abstract212)      PDF in ScienceDirect      
Abstract
Stay green (SG) maize was found to have higher grain yield and post-silking nitrogen (N) uptake (PostN) compared with a non-stay green (NSG) hybrid.  To understand the effects of plant density on grain yield (GY) and N efficiency in modern maize hybrids, we compared two modern hybrids (SG hybrid DY508 and NSG hybrid NH101) with similar maturity ratings at three plant densities (45 000, 60 000, and 75 000 pl ha–1) in 2014 and 2015.  GY, leaf senescence, dry matter (DM) accumulation, N accumulation, PostN, and post-silking N remobilization (RemN) were analyzed.  DY508 and NH101 had similar GY, but DY508 had higher thousand kernel weight (TKW) and lower kernel number (KN) than NH101.  Plant density significantly increased GY in the two hybrids.  On average, over the two years, plant density improved GY in DY508 and NH101 by 18.5 and 11.1%, respectively, but there were no differences in total dry matter (TDM) and post-silking DM (PostDM) between the two hybrids.  Plant density improved leaf N, stem N, and grain N at the silking and maturity stages in 2014 and 2015.  DY508 was lower in harvest index (HI), nitrogen harvest index (NHI), and grain N concentration (GNC) than NH101.  Grain N in DY508 was 2.61 kg ha–1 less than in NH101, and this was caused by lower GNC and leaf RemN.  On the average, DY508 was 1.62 kg ha–1 less in leaf remobilized N (leaf RemN) than NH101, but was similar in stem remobilized N (stem RemN; 2.47 kg ha–1 vs. 3.41 kg ha–1).  Maize hybrid DY508 shows delayed leaf senescence in the upper and bottom canopy layers in the later stages of growth.  The present study provides evidence that the NH101, which has rapid leaf senescence at the late grain-filling stage, has gained equivalent GY and higher leaf RemN, and was more efficient in N utilization.
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First report of Athelia bombacina causing postharvest fruit rot on pear
JIA Xiao-hui, FU Jun-fan, WANG Wen-hui, CUI Jian-chao, DU Yan-min, ZHOU Ru-jun, SUN Pingping
2018, 17 (11): 2596-2599.   DOI: 10.1016/S2095-3119(18)62091-X
Abstract390)      PDF (2222KB)(349)      
Pear is an important fruit crop in the world. An uncharacterized disease has been observed on pear fruits during cold storage in Suning, Shenzhou, Xinji and other locations in Hebei Province, China. The incidence rate of the disease has reached 10%, and sometimes up to 20%. A particular fungus was consistently isolated from the infected pear fruit and cultured. Based on its morphology, molecular characteristics, pathogenicity and ITS sequence, the fungus was identified as Athelia bombacina. To our knowledge, this is the first report of Athelia bombacina causing postharvest fruit rot on pear.
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