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Characterization of chromosome segment substitution lines reveals candidate genes associated with the nodule number in soybean
ZOU Jia-nan, ZHANG Zhan-guo, KANG Qing-lin, YU Si-yang, WANG Jie-qi, CHEN Lin, LIU Yan-ru, MA Chao, ZHU Rong-sheng, ZHU Yong-xu, DONG Xiao-hui, JIANG Hong-wei, WU Xiao-xia, WANG Nan-nan, HU Zhen-bang, QI Zhao-ming, LIU Chun-yan, CHEN Qing-shan, XIN Da-wei, WANG Jin-hui
2022, 21 (
8
): 2197-2210. DOI:
10.1016/S2095-3119(21)63658-4
Abstract
(
197
)
PDF in ScienceDirect
Soybean is one of the most important food crops worldwide. Like other legumes, soybean can form symbiotic relationships with
Rhizobium
species. Nitrogen fixation of soybean
via
its symbiosis with Rhizobium is pivotal for sustainable agriculture. Type III effectors (T3Es) are essential regulators of the establishment of the symbiosis, and nodule number is a feature of nitrogen-affected nodulation. However, genes encoding T3Es at quantitative trait loci (QTLs) related to nodulation have rarely been identified. Chromosome segment substitution lines (CSSLs) have a common genetic background but only a few loci with heterogeneous genetic information; thus, they are suitable materials for identifying candidate genes at a target locus. In this study, a CSSL population was used to identify the QTLs related to nodule number in soybean. Single nucleotide polymorphism (SNP) markers and candidate genes within the QTLs interval were detected, and it was determined which genes showed differential expression between isolines. Four candidate genes (
GmCDPK28
,
GmNAC1
,
GmbHLH
, and
GmERF5
) linked to the SNPs were identified as being related to nodule traits and pivotal processes and pathways involved in symbiosis establishment. A candidate gene (
GmERF5
) encoding a transcription factor that may interact directly with the T3E NopAA was identified. The confirmed CSSLs with important segments and candidate genes identified in this study are valuable resources for further studies on the genetic network and T3Es involved in the signaling pathway that is essential for symbiosis establishment.
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Identification of candidate genes related to soluble sugar contents in soybean seeds using multiple genetic analyses
PAN Wen-jing, HAN Xue, HUANG Shi-yu, YU Jing-yao, ZHAO Ying, QU Ke-xin, ZHANG Ze-xin, YIN Zhen-gong, QI Hui-dong, YU Guo-long, ZHANG Yong, XIN Da-wei, ZHU Rong-sheng, LIU Chun-yan, WU Xiao-xia, JIANG Hong-wei, HU Zhen-bang, ZUO Yu-hu, CHEN Qing-shan, QI Zhao-ming
2022, 21 (
7
): 1886-1902. DOI:
10.1016/S2095-3119(21)63653-5
Abstract
(
268
)
PDF in ScienceDirect
Soluble sugar content in seeds is an important quality trait of soybean. In this study, 57 quantitative trait loci (QTLs) related to soluble sugar contents in soybean seeds were collected from databases and published papers. After meta-overview-collinearity integrated analysis to refine QTL intervals, eight consensus QTLs were identified. To further verify the consensus QTLs, a population of chromosome segment substitution lines (CSSLs) was analyzed. Two lines containing fragments covering the regions of consensus QTLs and the recurrent parent were selected: one line showed high soluble sugar contents associated with a consensus QTL fragment, and the other line showed low soluble sugar contents. Transcriptome sequencing was conducted for these two lines at the early, middle, and late stages of seed development, which identified 158, 109 and 329 differentially expressed genes, respectively. Based on the analyses of re-sequencing data of the CSSLs and the consensus QTL region, three candidate genes (
Glyma.19G146800
,
Glyma.19G122500
, and
Glyma.19G128500
) were identified in the genetic fragments introduced from wild soybean. Sequence comparisons between the two CSSL parents SN14 and ZYD00006 revealed a single nucleotide polymorphism (SNP) mutation in the coding sequence of
Glyma.19G122500
, causing a non-synonymous mutation in the amino acid sequence that affected the predicted protein structure. A Kompetitive allele-specific PCR (KASP) marker was developed based on this SNP and used to evaluate the CSSLs. These results lay the foundation for further research to identify genes related to soluble sugar contents in soybean seeds and for future soybean breeding.
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Identification of novel soybean oil content-related genes using QTLbased collinearity analysis from the collective soybean genome
XU Ming-yue, LIU Zhang-xiong, QIN Hong-tao, QI Hui-dong, WANG Zhong-yu, MAO Xin-rui, XIN Dawei, HU Zhen-bang, WU Xiao-xia, JIANG Hong-wei, QI Zhao-ming, CHEN Qing-shan
2018, 17 (
08
): 1727-1735. DOI:
10.1016/S2095-3119(17)61862-8
Abstract
(
413
)
PDF in ScienceDirect
Soybean is a global principal source of edible plant oil. As more soybean oil-related quantitative trait loci (QTLs) have been located in the collective genome, it is urgent to establish a classification system for these distributed QTLs. A collinear platform may be useful to characterize and identify relationships among QTLs as well as aid in novel gene discovery. In this study, the collinearity MCScanX algorithm and collective soybean genomic information were used to construct collinearity blocks, to which soybean oil-related QTLs were mapped. The results demonstrated that 666 collinearity blocks were detected in the soybean genome across 20 chromosomes, and 521 collinearity relationships existed in 231 of the 242 effective soybean oil-related QTLs. This included 214 inclusion relationships and 307 intersecting relationships. Among them, the collinearity among QTLs that are related to soybean oil content was shown on a maximum of seven chromosomes and minimum of one chromosome, with the majority of QTLs having collinearity on two chromosomes. Using overlapping hotspot regions in the soybean oil QTLs with collinearity, we mined for novel oil content-related genes. Overall, we identified 23 putatively functional genes associated with oil content in soybean and annotated them using a number of annotation databases. Our findings provide a valuable framework for elucidating evolutionary relationships between soybean oil-related QTLs and lay a foundation for functional marker-assisted breeding relating to soybean oil content.
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GmDRR1, a dirigent protein resistant to
Phytophthora sojae
in
Glycine
max
(L.) Merr.
CHEN Qing-shan, YU Guo-long, ZOU Jia-nan, WANG Jing, QIU Hong-mei, ZHU Rong-sheng, CHANG Hui-lin, JIANG Hong-wei, HU Zhen-bang, LI Chang-yu, ZHANG Yan-jiao, WANG Jin-hui, WANG Xueding, GAO Shan...
2018, 17 (
06
): 1289-1298. DOI:
10.1016/S2095-3119(17)61821-5
Abstract
(
553
)
PDF in ScienceDirect
Soil-borne pathogen
Phytophthora sojae
is an oomycete that causes devastating damage to soybean yield. To mine original resistant genes in soybean is an effective and environmentally-friend approach controlling the disease. In this study, soybean proteins were extracted from the first trifoliolates infected by predominant
P. sojae
race 1 and analyzed by two-dimensional gel electrophoresis. Nineteen differently-expressed protein spots were detected, and 10 of them were further applied for Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry Assay. One protein containing a dirigent (DIR) domain was identified and belonged to the DIR-b/d family. Therefore, it was named as GmDRR1 (
Glycine
max
Disease Resistance Response 1). Then,
GmDRR1
gene was pathologically confirmed to be involved in the resistant to
P. sojae
in soybean.
GmDRR1
-GFP (green fluorescent protein) fusion proteins localized in the cell membrane. qRT-PCR results showed
GmDRR1
gene expressed differently in
P. sojae
resistant- and susceptible-soybean cultivars. By the promoter analysis, we found a haplotype H8 was existing in most resistant soybean varieties, while a haplotype H77 was existing in most susceptible soybean varieties. The H77 haplotype had seven SNPs (C to A, G to C, C to A, T to A, T to C, T to C, and T to A) and two single nucleotide insertions. The results supported that the expression difference of
GmDRR1
genes between P. sojae resistant- and susceptible-soybean cultivars might depend on the GmDRR1 promoter SNPs. The results suggested that
GmDRR1
was a dirigent protein involved in soybean resistant to
P. sojae
and paved a novel way for investigation of the molecular regulatory mechanism of the defense response to
P. sojae
in soybean.
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