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Kernel row number is a fundamental component of maize (Zea mays) yield and an important target for maize breeding. The revolutionary transition from the two-rowed teosinte to maize with increased kernel row numbers dramatically enhanced yields during domestication. Kernel row number is controlled by many quantitative trait loci (QTLs), however most genes responsible for these QTLs remain uncharacterised and the molecular genetic mechanisms are unknown. Here, we combined map-based cloning and association mapping to identify a major QTL for kernel row number, krn1, which is likely to correspond to an existing gene (ids1/Ts6) encoding an AP2 domain protein homologous to the product of the wheat key domestication gene Q. The increased expression of ids1/Ts6 in two maize mutants increased spikelet pair meristem numbers and then enhanced kernel row numbers. Nucleotide diversity analysis further revealed that ids1/Ts6 and Q were under strong parallel selection in maize and wheat that increased their yields during domestication or improvement. RNA-seq revealed that ids1/Ts6 is involved in multiple pathways regulating spikelet pair meristem development, involving several key genes such as fea3, fea4 and ra3. The cloning of the krn1 gene will pave a new way to efficiently improve maize yield in the near future.
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http://dx.doi.org/10.1111/nph.15890 | DOI Listing |
J R Stat Soc Ser A Stat Soc
July 2025
Department of Political Science, University of California Los Angeles, USA.
With the precipitous decline in response rates, researchers and pollsters have been left with highly nonrepresentative samples, relying on constructed weights to make these samples representative of the desired target population. Though practitioners employ valuable expert knowledge to choose what variables must be adjusted for, they rarely defend particular functional forms relating these variables to the response process or the outcome. Unfortunately, commonly used calibration weights-which make the weighted mean of in the sample equal that of the population-only ensure correct adjustment when the portion of the outcome and the response process left unexplained by linear functions of are independent.
View Article and Find Full Text PDFIEEE Trans Comput Biol Bioinform
May 2025
The split-row problem (SR), introduced by Hajirasouliha and Raphael [WABI 2014], models an effective method for reconstructing a perfect phylogeny from mixed tumor samples. In this problem, an m × n binary matrix M is given. A split-row operation on M is defined as replacing a row r by k > 1 rows whose bitwise OR is equal to r.
View Article and Find Full Text PDFBMC Genomics
August 2025
Frontiers Science Center for Molecular Design Breeding (MOE), China Agricultural University, Beijing, 100193, P. R. China.
Background: Kernel row number (KRN) and ear length (EL) are key traits that contributes greatly to grain yield in maize (Zea mays L.). Although some quantitative trait loci (QTL) for KRN or EL have been identified, few have been effectively utilized in breeding.
View Article and Find Full Text PDFPeerJ
July 2025
Genetics Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Investigating genetic diversity of maize inbred lines is crucial for enhancing breeding for higher yields, resilience, and ensuring sustainable maize production amidst climate change and the rapidly growing global population. This study aimed to evaluate the phenological attributes, plant stature, ear characteristics, and grain yield of 14 newly developed Egyptian maize inbred lines across three growing seasons under arid conditions in Egypt. Furthermore, the assessment of the genetic diversity among these lines using three molecular marker techniques: start codon targeted (SCoT), conserved DNA-derived polymorphism (CDDP), sequence-related amplified polymorphism (SRAP).
View Article and Find Full Text PDFBMC Plant Biol
May 2025
Dipartimento di Scienze delle produzioni vegetali sostenibili, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Maize (Zea mays L.) is one of the most productive crops worldwide. As a heterotic crop predominantly grown as F hybrid, maize exhibits challenges for genetic studies of complex traits, since homozygous genotypes, which are largely used in these studies, may not accurately reflect what happens in cultivated conditions.
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