Multi-environment QTL mapping identifies major genetic loci influencing soybean main stem node architecture

Soybean plant architecture has a significant impact on yield potential, but the genetic underpinnings of key architectural traits remain elusive. The primary objective of this study was to explore the genetic foundations underlying main stem node number (MSN) in soybeans. Recombinant inbred lines (RILs) contained a 234 individual derived from crosses between two cultivars Zhonghuang35 (ZH35) and Jindou21 (JD21) was evaluated for seed hardness across 3 years (2013, 2014, and 2015 in Gansu). Markedly, the parent varieties, shown significant differences in MSN. Also, the RIL population exhibited a wide range of genetic variation in MSN. A high-density genetic map composed of 8,078 specific-locus amplified fragment (SLAF) markers, spanning 3,480.98 centimorgans (cM) with an average inter-marker distance of 0.59 cM were used to construct linkage map. Using ICIM analysis identified a total of 23 Quantitative Trait Loci (QTLs) across the 20 chromosome, of which five QTLs were detected in multiple years in Chr.6. Notably, we identified a stable major QTL, <i>qMSN-6-4</i>, explaining up to 24.81% of phenotypic variation. This QTL govern seven candidate genes with potential roles in regulating MSN development in soybean, including <i>Glyma.06G027500</i> with a domain of unknown function, <i>Glyma.06G027600</i> involved in proton transport, <i>Glyma.06G027700</i> linked to proteolysis, <i>Glyma.06G027900</i> related to transcriptional regulation, and <i>Glyma.06G028000</i> and <i>Glyma.06G028050</i> associated with membrane functions. The RT-PCR analysis confirmed that these genes were expressed differently between the parental lines this supports the idea that they may play a role in determining MSN. <i>Glyma.06G027500</i> and <i>Glyma.06G027600</i> showing higher expression in JD21 leaves and nodes, while <i>Glyma.06G027700</i> and <i>Glyma.06G028000</i> exhibited increased expression in ZH35 stems, highlighting their distinct roles in transcription regulation, membrane activities, and protein degradation that contribute to MSN formation in soybean. This study offers valuable insights into the genetic mechanisms governing soybean MSN, providing a foundation for future research and crop improvement efforts.

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Journal
PeerJ
Published
2024-11-26
DOI
https://doi.org/10.7717/peerj.18539
Citations
6
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
3.60
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article

Multi-environment QTL mapping identifies major genetic loci influencing soybean main stem node architecture

Zhangxiong Liu, Huilong Hong, Sobhi F. Lamlom, Lingling Sun et al.
6 citations
PeerJ
Soybean genetics and cultivation
3.60
article

Multi-environment QTL mapping identifies major genetic loci influencing soybean main stem node architecture

Zhangxiong Liu, Huilong Hong, Sobhi F. Lamlom, Lingling Sun, Hong Ren, Xue Qu, Wencheng Lu
article en
6 citations

Abstract

Soybean plant architecture has a significant impact on yield potential, but the genetic underpinnings of key architectural traits remain elusive. The primary objective of this study was to explore the genetic foundations underlying main stem node number (MSN) in soybeans. Recombinant inbred lines (RILs) contained a 234 individual derived from crosses between two cultivars Zhonghuang35 (ZH35) and Jindou21 (JD21) was evaluated for seed hardness across 3 years (2013, 2014, and 2015 in Gansu). Markedly, the parent varieties, shown significant differences in MSN. Also, the RIL population exhibited a wide range of genetic variation in MSN. A high-density genetic map composed of 8,078 specific-locus amplified fragment (SLAF) markers, spanning 3,480.98 centimorgans (cM) with an average inter-marker distance of 0.59 cM were used to construct linkage map. Using ICIM analysis identified a total of 23 Quantitative Trait Loci (QTLs) across the 20 chromosome, of which five QTLs were detected in multiple years in Chr.6. Notably, we identified a stable major QTL, <i>qMSN-6-4</i>, explaining up to 24.81% of phenotypic variation. This QTL govern seven candidate genes with potential roles in regulating MSN development in soybean, including <i>Glyma.06G027500</i> with a domain of unknown function, <i>Glyma.06G027600</i> involved in proton transport, <i>Glyma.06G027700</i> linked to proteolysis, <i>Glyma.06G027900</i> related to transcriptional regulation, and <i>Glyma.06G028000</i> and <i>Glyma.06G028050</i> associated with membrane functions. The RT-PCR analysis confirmed that these genes were expressed differently between the parental lines this supports the idea that they may play a role in determining MSN. <i>Glyma.06G027500</i> and <i>Glyma.06G027600</i> showing higher expression in JD21 leaves and nodes, while <i>Glyma.06G027700</i> and <i>Glyma.06G028000</i> exhibited increased expression in ZH35 stems, highlighting their distinct roles in transcription regulation, membrane activities, and protein degradation that contribute to MSN formation in soybean. This study offers valuable insights into the genetic mechanisms governing soybean MSN, providing a foundation for future research and crop improvement efforts.

PeerJVol. 12
Heihe University (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Crop Sciences (CN), Heilongjiang University (CN), Alexandria University (EG)
Life in Land
Openalex Percentile: Top 7%
Soybean genetics and cultivation
3.60
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