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Advances in Research for Legume Genomics, Genetics, and Breeding, 2nd Edition

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Plant Sciences".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 5748

Special Issue Editor

Dr. Naoufal Lakhssassi

E-Mail Website
Guest Editor
Department of Plant, Soil, and Agricultural Systems, Southern Illinois University, Carbondale, IL 62901, USA
Interests: plant genetics; genomics; molecular biology; biochemistry; breeding
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Legumes provide food, feed grain, oil, and fiber for domestic consumption. Horticultural legumes are grown specifically for human diets and are useful in terms of enhancing the living environment. Legumes are an excellent source of protein and are low in fat and sodium and high in dietary fiber, iron, zinc, potassium, magnesium, vitamins, folate, etc.

This Special Issue of the International Journal of Molecular Sciences will focus on “Advances in Research for Legume Genomics, Genetics, and Breeding”. We encourage submissions of all kinds of work by the scientific community to accelerate legume improvement using genetic, genomic, and molecular breeding approaches. Works that bring new insights into biotic and abiotic stresses that affect legume production are also encouraged. Projects may include, but are not limited to, the following topics: improvements in nutraceutical and pharmaceutical compounds derived from legumes with extra human health benefits; seed composition (fatty acids, vitamins, oil, fiber, proteins, carbohydrates, etc.); and diseases that affect cropping systems.

Dr. Naoufal Lakhssassi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • legumes
  • genomics
  • plant breeding
  • seed composition
  • gene function
  • biotic and abiotic stress
  • legume pathogen resistance/mechanisms

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Related Special Issue

Published Papers (3 papers)

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Research

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14 pages, 728 KiB  
Article
Genomic Selection for Pea Grain Yield and Protein Content in Italian Environments for Target and Non-Target Genetic Bases
by Margherita Crosta, Nelson Nazzicari, Luciano Pecetti, Tommaso Notario, Massimo Romani, Barbara Ferrari, Giovanni Cabassi and Paolo Annicchiarico
Int. J. Mol. Sci. 2025, 26(7), 2991; https://doi.org/10.3390/ijms26072991 - 25 Mar 2025
Viewed by 421
Abstract
Enhanced pea cultivation, which can increase the sustainability of European agriculture, requires better-performing cultivars. This study investigated the genomic selection (GS) ability to predict grain yield, protein content, and protein yield on the same or a different genetic base (target/non-target GB) relative to [...] Read more.
Enhanced pea cultivation, which can increase the sustainability of European agriculture, requires better-performing cultivars. This study investigated the genomic selection (GS) ability to predict grain yield, protein content, and protein yield on the same or a different genetic base (target/non-target GB) relative to that employed for model training. GS models were developed on 276 lines from three Recombinant Inbred Line (RIL) populations evaluated in three Italian autumn-sown environments using 5537 SNPs from genotyping by sequencing. Validation in two cropping years concerned 108 independent lines from five RIL populations, of which two belonged to the GS training set, and three shared one parent each with training populations. A genome-wide association study performed on the GS training set using 18,674 SNPs highlighted the polygenic control of protein content and grain yield, with several environment-dependent QTLs for yield. Intermediate/high predictive ability within or across populations emerged for all traits in the target GB (0.359–0.675), with some variation depending on the population. Predictive ability in the non-target GB was modest/intermediate for protein content, and null/poor for the other traits. No inverse correlation emerged between grain yield and protein content. GS proved useful for all traits in the target GB and for protein content in a non-target GB. Full article
(This article belongs to the Special Issue Advances in Research for Legume Genomics, Genetics, and Breeding, 2nd Edition)
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21 pages, 2564 KiB  
Article
Integration of Genetic and Imaging Data to Detect QTL for Root Traits in Interspecific Soybean Populations
by Mohammad Shafiqul Islam, Jeong-Dong Lee, Qijian Song, Hyun Jo and Yoonha Kim
Int. J. Mol. Sci. 2025, 26(3), 1152; https://doi.org/10.3390/ijms26031152 - 28 Jan 2025
Viewed by 914
Abstract
Wild soybean, which has many desirable traits, such as adaptability to climate change-related stresses, is a valuable resource for expanding the narrow genetic diversity of cultivated soybeans. Plants require roots to adapt to different environments and optimize water and nutrient uptake to support [...] Read more.
Wild soybean, which has many desirable traits, such as adaptability to climate change-related stresses, is a valuable resource for expanding the narrow genetic diversity of cultivated soybeans. Plants require roots to adapt to different environments and optimize water and nutrient uptake to support growth and facilitate the storage of metabolites; however, it is challenging and costly to evaluate root traits under field conditions. Previous studies of quantitative trait loci (QTL) have been mainly based on cultivated soybean populations. In this study, an interspecific mapping population from a cross between wild soybean ‘PI483463’ and cultivar ‘Hutcheson’ was used to investigate QTLs associated with root traits using image data. Our results showed that 39 putative QTLs were distributed across 10 chromosomes (chr.). Seventeen of these were clustered in regions on chr. 8, 14, 15, 16, and 17, accounting for 19.92% of the phenotypic variation. We identified five significant QTL clusters influencing root-related traits, such as total root length, surface area, lateral total length, and number of tips, across five chr., with favorable alleles from both wild and cultivated soybeans. Furthermore, we identified eight candidate genes controlling these traits based on functional annotation. These genes were highly expressed in root tissues and directly or indirectly affected soybean root growth, development, and stress responses. Our results provide valuable insights for breeders aiming to optimize soybean root traits and leveraging genetic diversity from wild soybean species to develop varieties with improved root morphological traits, ultimately enhancing overall plant growth, productivity, and resilience. Full article
(This article belongs to the Special Issue Advances in Research for Legume Genomics, Genetics, and Breeding, 2nd Edition)
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Review

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17 pages, 3555 KiB  
Review
Understanding the Molecular Regulatory Networks of Seed Size in Soybean
by Ye Zhang, Javaid Akhter Bhat, Yaohua Zhang and Suxin Yang
Int. J. Mol. Sci. 2024, 25(3), 1441; https://doi.org/10.3390/ijms25031441 - 24 Jan 2024
Cited by 6 | Viewed by 3495
Abstract
Soybean being a major cash crop provides half of the vegetable oil and a quarter of the plant proteins to the global population. Seed size traits are the most important agronomic traits determining the soybean yield. These are complex traits governed by polygenes [...] Read more.
Soybean being a major cash crop provides half of the vegetable oil and a quarter of the plant proteins to the global population. Seed size traits are the most important agronomic traits determining the soybean yield. These are complex traits governed by polygenes with low heritability as well as are highly influenced by the environment as well as by genotype x environment interactions. Although, extensive efforts have been made to unravel the genetic basis and molecular mechanism of seed size in soybean. But most of these efforts were majorly limited to QTL identification, and only a few genes for seed size were isolated and their molecular mechanism was elucidated. Hence, elucidating the detailed molecular regulatory networks controlling seed size in soybeans has been an important area of research in soybeans from the past decades. This paper describes the current progress of genetic architecture, molecular mechanisms, and regulatory networks for seed sizes of soybeans. Additionally, the main problems and bottlenecks/challenges soybean researchers currently face in seed size research are also discussed. This review summarizes the comprehensive and systematic information to the soybean researchers regarding the molecular understanding of seed size in soybeans and will help future research work on seed size in soybeans. Full article
(This article belongs to the Special Issue Advances in Research for Legume Genomics, Genetics, and Breeding, 2nd Edition)
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