Evidence map›Paper›PMID 42394661›Full record

ArticleFrontiers in plant science2026

Identification of genomic regions and candidate genes associated with soybean seed sugars in a RIL population.

Nacer Bellaloui, James R Smith, Jeffery D Ray, Neeraj Kumar, Abdelraheem Abdelraheem, Chunda Feng, Alemu Mengistu

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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Nacer BellalouiUSDA, Agriculture Research Service, Crop Genetics Research Unit, Stoneville, MS, United States.
James R SmithUSDA, Agriculture Research Service, Crop Genetics Research Unit, Stoneville, MS, United States.
Jeffery D RayUSDA, Agriculture Research Service, Crop Genetics Research Unit, Stoneville, MS, United States.
Neeraj KumarUSDA, Agriculture Research Service, Crop Genetics Research Unit, Stoneville, MS, United States.
Abdelraheem AbdelraheemUSDA, Agriculture Research Service, Crop Genetics Research Unit, Stoneville, MS, United States.
Chunda FengUSDA, Agriculture Research Service, Crop Genetics Research Unit, Stoneville, MS, United States.
Alemu MengistuUSDA, Agriculture Research Service, Crop Genetics Research Unit, Jackson, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean seed sugar profiling determines the quality of soymeal for humans and livestock nutrition. Seed sucrose is desirable for taste and flavor, whereas raffinose and stachyose are indigestible, and therefore undesirable for humans and monogastric animals. Thus, identifying the genomic regions and genes controlling sugar type and level in the seed is desirable for developing optimal levels of each sugar. The objective of this research was to locate the genomic regions for seed sugars content and further identify potential candidate genes involved in sugar metabolism. A segregating mapping population (recombinant inbred lines, RILs) for heat tolerance was developed from a cross between DS25-1 (heat-tolerant parent) and DT97-4290. Both DS25-1 and DT97-4290 are maturity group IV. 201 RILs, parents, and checks were planted in field experiments conducted in 2018 and 2019 without irrigation at Stoneville, MS. Composite interval mapping (CIM) was performed to identify QTLs using a high-density linkage map with 8,445 polymorphic SNP markers. A logarithm of odds (LOD) value of ≥ 2.5 was used as the QTL significance level. Results showed that a total of 19 QTL for seed sugars, among which 12 were novel, were identified. A total of 8 QTL was identified for sugars in 2018. Four QTL (

Indexed as

Functional genomicsseed sugarssoybean seedsugars genessugars pathwayssugars QTL

Identifiers

PMID42394661
PMCPMC13324785

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