Identification and molecular mapping of a major gene conferring resistance to Phytophthora sansomeana in soybean ‘Colfax’

Lin, Feng; Salman, Muhammad; Zhang, Zhanguo; McCoy, Austin G.; Li, Wenlong; Magar, Raju Thada; Mitchell, Drew; Zhao, Meixia; Gu, Cuihua; Chilvers, Martin I.; Wang, Dechun

doi:10.1007/s00122-024-04556-6

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…We generated a BC 1 F 2:3 population by propagating single plants from the BC 1 F 2 populations for an additional generation to address issues of offspring segregation and reproductive limitations caused by the BC 1 F 2 population. Until now, many QTLs or genes have been reported from F 2 and F 2:3 populations, such as Rpsan 1, qPH9, FM1, Co-1HY, YrZ15-1949, qHBV4.2, qHBV6.1, qHBV11.1, and qHBV11.2 [47][48][49][50][51][52]. To identify novel QTLs controlling grain size, we developed BC 1 F 2 and BC 1 F 2:3 populations derived from W240 and GZ63-4S.…”

Section: Qtl Mapping For Grain Size and Weightmentioning

confidence: 99%

Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice

Zhou,

Yang,

Liu

et al. 2024

IJMS

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Grain size is a quantitative trait with a complex genetic mechanism, characterized by the combination of grain length (GL), grain width (GW), length to width ration (LWR), and grain thickness (GT). In this study, we conducted quantitative trait loci (QTL) analysis to investigate the genetic basis of grain size using BC1F2 and BC1F2:3 populations derived from two indica lines, Guangzhan 63-4S (GZ63-4S) and TGMS29 (core germplasm number W240). A total of twenty-four QTLs for grain size were identified, among which, three QTLs (qGW1, qGW7, and qGW12) controlling GL and two QTLs (qGW5 and qGL9) controlling GW were validated and subsequently fine mapped to regions ranging from 128 kb to 624 kb. Scanning electron microscopic (SEM) analysis and expression analysis revealed that qGW7 influences cell expansion, while qGL9 affects cell division. Conversely, qGW1, qGW5, and qGW12 promoted both cell division and expansion. Furthermore, negative correlations were observed between grain yield and quality for both qGW7 and qGW12. Nevertheless, qGW5 exhibited the potential to enhance quality without compromising yield. Importantly, we identified two promising QTLs, qGW1 and qGL9, which simultaneously improved both grain yield and quality. In summary, our results laid the foundation for cloning these five QTLs and provided valuable resources for breeding rice varieties with high yield and superior quality.

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Section: Qtl Mapping For Grain Size and Weightmentioning

confidence: 99%

Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice

Zhou,

Yang,

Liu

et al. 2024

IJMS

View full text Add to dashboard Cite

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DNA methylation analysis reveals local changes in resistant and susceptible soybean lines in response to Phytophthora sansomeana

DiBiase,

Cheng,

Lee

et al. 2024

G3: Genes, Genomes, Genetics

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Phytophthora sansomeana is an emerging oomycete pathogen causing root rot in many agricultural species including soybean. However, as of now, only one potential resistance gene has been identified in soybean, and our understanding of how genetic and epigenetic regulation in soybean contributes to responses against this pathogen remains largely unknown. In this study, we performed whole genome bisulfite sequencing (WGBS) on two soybean lines, Colfax (resistant) and Williams 82 (susceptible) in response to P. sansomeana at two time points: 4 and 16 hours post inoculation to compare their methylation changes. Our findings revealed that there were no significant changes in genome-wide CG, CHG (H = A, T, or C), and CHH methylation. However, we observed local methylation changes, specially an increase in CHH methylation around genes and transposable elements (TEs) after inoculation, which occurred earlier in the susceptible line and later in the resistant line. After inoculation, we identified differentially methylated regions (DMRs) in both Colfax and Williams 82, with a predominant presence in TEs. Notably, our data also indicated that more TEs exhibited changes in their methylomes in the susceptible line compared to the resistant line. Furthermore, we discovered 837 DMRs within or flanking 772 differentially expressed genes (DEGs) in Colfax and 166 DMRs within or flanking 138 DEGs in Williams 82. These DEGs had diverse functions, with Colfax primarily showing involvement in metabolic process, defense response, plant and pathogen interaction, anion and nucleotide binding, and catalytic activity, while Williams 82 exhibited a significant association with photosynthesis. These findings suggest distinct molecular responses to P. sansomeana infection in the resistant and susceptible soybean lines.

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Identification and molecular mapping of a major gene conferring resistance to Phytophthora sansomeana in soybean ‘Colfax’

Cited by 2 publications

References 31 publications

Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice

Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice

DNA methylation analysis reveals local changes in resistant and susceptible soybean lines in response to Phytophthora sansomeana

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