Bellaloui Nacer, Knizia Dounya, Yuan Jiazheng, Song Qijian, Betts Frances, Register Teresa, Williams Earl, Lakhssassi Naoufal, Mazouz Hamid, Nguyen Henry T, Meksem Khalid, Mengistu Alemu, Kassem My Abdelmajid
Crop Genetics Research Unit, USDA, Agriculture Research Service, 141 Experiment Station Road, Stoneville, MS 38776, USA.
Department of Plant, Soil, and Agricultural Systems, Southern Illinois University, Carbondale, IL 62901, USA.
Plants (Basel). 2023 Oct 28;12(21):3709. doi: 10.3390/plants12213709.
Understanding the genetic basis of seed Ni and Mo is essential. Since soybean is a major crop in the world and a major source for nutrients, including Ni and Mo, the objective of the current research was to map genetic regions (quantitative trait loci, QTL) linked to Ni and Mo concentrations in soybean seed. A recombinant inbred line (RIL) population was derived from a cross between 'Forrest' and 'Williams 82' (F × W82). A total of 306 lines was used for genotyping using 5405 single nucleotides polymorphism (SNP) markers using Infinium SNP6K BeadChips. A two-year experiment was conducted and included the parents and the RIL population. One experiment was conducted in 2018 in North Carolina (NC), and the second experiment was conducted in Illinois in 2020 (IL). Logarithm of the odds (LOD) of ≥2.5 was set as a threshold to report identified QTL using the composite interval mapping (CIM) method. A wide range of Ni and Mo concentrations among RILs was observed. A total of four QTL (, , and on Chr 2, 8, and 9, respectively, in 2018, and on Chr 20 in 2020) was identified for seed Ni. All these QTL were significantly (LOD threshold > 2.5) associated with seed Ni, with LOD scores ranging between 2.71-3.44, and with phenotypic variance ranging from 4.48-6.97%. A total of three QTL for Mo (, , and on Chr 1, 3, 17, respectively) was identified in 2018, and four QTL (, , , and , on Chr 5, 11, 14, and 16, respectively) were identified in 2020. Some of the current QTL had high LOD and significantly contributed to the phenotypic variance for the trait. For example, in 2018, Mo QTL on Chr 1 had LOD of 7.8, explaining a phenotypic variance of 41.17%, and on Chr 17 had LOD of 5.33, with phenotypic variance explained of 41.49%. In addition, one Mo QTL ( on Chr 14) had LOD of 9.77, explaining 51.57% of phenotypic variance related to the trait, and another Mo QTL ( on Chr 16) had LOD of 7.62 and explained 49.95% of phenotypic variance. None of the QTL identified here were identified twice across locations/years. Based on a search of the available literature and of SoyBase, the four QTL for Ni, identified on Chr 2, 8, 9, and 20, and the five QTL associated with Mo, identified on Chr 1, 17, 11, 14, and 16, are novel and not previously reported. This research contributes new insights into the genetic mapping of Ni and Mo, and provides valuable QTL and molecular markers that can potentially assist in selecting Ni and Mo levels in soybean seeds.
了解种子中镍和钼的遗传基础至关重要。由于大豆是世界上的主要作物，也是包括镍和钼在内的营养物质的主要来源，因此本研究的目的是绘制与大豆种子中镍和钼浓度相关的遗传区域（数量性状位点，QTL）。一个重组自交系（RIL）群体源自‘Forrest’和‘Williams 82’（F×W82）之间的杂交。使用Infinium SNP6K BeadChips芯片，共306个株系利用5405个单核苷酸多态性（SNP）标记进行基因分型。进行了为期两年的试验，包括亲本和RIL群体。2018年在北卡罗来纳州（NC）进行了一次试验，2020年在伊利诺伊州（IL）进行了第二次试验。使用复合区间作图（CIM）方法时，将对数优势（LOD）≥2.5设定为报告已鉴定QTL的阈值。在RIL中观察到广泛的镍和钼浓度范围。2018年共鉴定出4个种子镍QTL（分别位于第2、8和9号染色体上的 、 、 和 ），2020年在第20号染色体上鉴定出 。所有这些QTL均与种子镍显著相关（LOD阈值>2.5），LOD分数在2.71 - 3.44之间，表型变异范围为4.48 - 6.97%。2018年共鉴定出3个钼QTL（分别位于第1、3、17号染色体上的 、 、 ），2020年鉴定出4个QTL（分别位于第5、11、14和16号染色体上的 、 、 、 ）。当前的一些QTL具有较高的LOD，对该性状的表型变异有显著贡献。例如，2018年，第1号染色体上的钼QTL 的LOD为7.8，解释了41.17%的表型变异，第17号染色体上的 的LOD为5.33，解释的表型变异为41.49%。此外，一个钼QTL（位于第14号染色体上的 ）的LOD为9.77，解释了与该性状相关的51.57%的表型变异，另一个钼QTL（位于第16号染色体上的 ）的LOD为7.62，解释了49.95%的表型变异。这里鉴定出的QTL在不同地点/年份均未被重复鉴定。基于对现有文献和SoyBase的检索，在第2、8、9和20号染色体上鉴定出的4个镍QTL，以及在第1、17、11、14和16号染色体上鉴定出的5个与钼相关的QTL都是新的，此前未曾报道。本研究为镍和钼的遗传图谱绘制提供了新的见解，并提供了有价值的QTL和分子标记，有可能有助于选择大豆种子中的镍和钼水平。
