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      Divergent selection of KNR6 maximizes grain production by balancing the flowering‐time adaptation and ear size in maize

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          Abstract

          Domestication and improvement have led to dramatic changes in the plant architecture and inflorescence in maize. These transformations were achieved by selecting desirable alleles for target traits to meet human needs and local environment adaptation, such as grain yield and flowering time (Doebley et al., 2006). Indeed, the selection of KRN2 and KRN4 genes contributed to the enlargement of ear size and the selection of ZCN8, ZmCCT9 and ZmCCT10 genes promoted the expansion of maize from tropical to temperate regions by accelerating flowering (Chen et al., 2022; Guo et al., 2018; Liu et al., 2015). Our previous study revealed that the KERNEL NUMBER PER ROW6 (KNR6) gene regulated ear size variations (Jia et al., 2020). The alleles with insertions of two linked transposable elements (TEs) in the promoter and 5′ untranslated region (5′UTR) suppressed the expression of KNR6 and decreased ear size, indicating that the TE‐insertion allele was undesirable for ear size. Phenotyping of two independent RNA‐interference (RNAi) lines and two overexpression (OE) lines showed earlier flowering in the KNR6 RNAi lines (average 2.3–3.4 days earlier in days‐to‐tasseling (DTT) and days‐to‐silking (DTS) (Figure 1a,c,d) and later flowering in KNR6‐OE lines (average 1.8–3.7 days later in DTT and DTS) than in the non‐transgenic lines (Figure 1b,e,f). We next found that the near‐isogenic line (NIL) with TE‐insertion allele promoted flowering by 1.6 days in DTT and 1.5 days in DTS compared with the NIL without TE‐insertion allele (Figure 1g,h). The marker–trait association showed the presence/absence variation (PAV) of TE in 5′UTR rather than the structural variation around the TE in the promoter was significantly associated with flowering time (Figure S1), and hereafter, the alleles with and without 5′UTR‐TE were referred to the KNR6 TE+ and KNR6 TE‐  alleles, respectively. Subsequently, we tested the allelic effects in a Chinese widely grown maize hybrid, Zheng58 (ZH58)/Chang7‐2 (C7‐2). When the KNR6 TE+ allele was substituted by the KNR6 TE− allele, the improved hybrids with heterozygous alleles (ZH58/iC7‐2, iZH58/C7‐2) or homozygous KNR6 TE− alleles (iZH58/iC7‐2) showed 1.9–3.8 days later in flowering time than the original ZH58/C7‐2 hybrid (Figure 1i,j), but a 3.3%–5.6% increase in grain yield production (Figure 5a–g of Jia et al., 2020). These findings indicate that KNR6 affects both ear size and flowering time, and the long‐ear KNR6 TE− allele shows a delayed flowering time. Thus, managing the KNR6 trade‐off between flowering time and grain yield would be an efficient way to breed elite lines with high grain yield and appropriate flowering time. Figure 1 KNR6 was targeted by selection and contributed to the flowering‐time adaptation. (a–f) Knocking down KNR6 promoted flowering (a, c,d), and overexpressing KNR6 delayed flowering time (b, e,f). (g,h) NIL qknr6 with TE‐insertion allele accelerated flowering compared to NIL qKNR6 without TE‐insertion allele. (i–j) Comparisons of flowering time in improved ZH58/C7‐2 hybrids. iC7‐2, improved line C7‐2 with KNR6 TE− allele; iZH58, improved line ZH58 with KNR6 TE− allele. (k) The KNR6 TE+ and KNR6 TE− allele frequency in teosintes, tropical/subtropical and temperate maize inbreds. (l) Nucleotide diversity of the region surrounding the 5′UTR‐TE PAV in maize and teosinte. πM/πT indicates that the amount of nucleotide diversity (π) retained in maize relative to that in teosinte. **Significance was tested using a coalescent simulation test, P < 0.01. (m) Geographical distribution of the KNR6 TE+ /KNR6 TE− allele in 470 maize landraces native to America and the latitude variations among different allelic groups. (n) The KNR6 TE+ /KNR6 TE− allele frequency in a set of diverse maize inbreds. (o) The transmission pathways of the KNR6 TE+ allele in two Chinese germplasms and a proposed strategy for managing a trade‐off between flowering time and ear size with KNR6 and other flowering genes. In (c–j), the data represent the mean ± sd. Significance was tested using a Student's t‐test in c–h, and one‐way ANOVA followed by Tukey's multiple comparison tests that different letters indicate significant differences at P < 0.05 in i,j. We next genotyped the 5’UTR‐TE PAV in 189 teosinte accessions, 275 tropical/subtropical and 357 temperate maize inbreds (Data S1). The KNR6 TE+ allele was not found in teosintes and its frequency in tropical/subtropical and temperate germplasms was 2.4% and 18.5% respectively (Figure 1k). Nucleotide diversity analysis in teosintes (n = 43) and maize inbreds (n = 275) showed a strong selection signal in the surrounding region of the 5′UTR‐TE PAV (Figure 1l). Both KNR6 TE+ and KNR6 TE− alleles retained only 3.8% and 13.0% of the nucleotide diversity from teosinte to maize, respectively (Figure 1l), indicating both alleles were selected during maize evolution. Additionally, the KNR6 TE+ frequency in temperate inbreds was higher than that in tropical/subtropical inbreds, indicating that the KNR6 TE+ allele might contribute to maize adaptation to temperate regions. Similar results were observed by the geographical distribution of the KNR6 TE+ /KNR6 TE− alleles in 470 landraces, showing that landraces with KNR6 TE+ allele were primarily located in the northern United States with high latitudes (Figure 1m), suggesting that the KNR6 TE+ allele might be positively selected to promote the adaptation of maize to high latitudes by accelerating flowering. However, the lower frequency of the KNR6 TE+ allele in the modern inbreds (Figure 1n) indicates that it was negatively selected during maize improvement due to its negative effect on grain yield. The duration of the crop life cycle is often restricted by the local farming system. For example, the conventional double‐cropped winter wheat–summer maize system in the Chinese Huanghuaihai region requires early flowering for maize in summer to facilitate wheat cultivation immediately after maize harvesting. Geographical distribution of the KNR6 TE+ /KNR6 TE− alleles in maize inbreds showed that the KNR6 TE+ allele was more enriched in Chinese lines (18.5%) than in the lines from Latin America (3.6%) and America (10.9%) in modern maize (Figure 1n). Interestingly, 70.7% (29/41) of Chinese lines harbouring KNR6 TE+ allele distributed in the Huanghuaihai region (Figure S2), where short life cycle maize is in high demand. Notably, the KNR6 TE+ allele frequency was high in proprietary germplasms that derived from the American maize hybrid 3382 (52.5%) and the Chinese landrace TangSiPingTou (55.6%) (Figure 1o), which are two of the most widely used germplasms in the current breeding programmes in China. Thus, optimizing the flowering time to adapt to the local environment would be an effective way to maximize maize production (Parent et al., 2018). Finally, we estimated the effects of KNR6 and four known flowering genes, ZmCCT9, ZmCCT10, VGT1 and ZCN8, on flowering time and ear length in a diverse maize population containing 508 maize inbreds. As expected, all genes had strong effects on flowering time, and only KNR6 had a trade‐off effect on ear length (Figure S3). Notably, the early‐flowering allele of VGT1 still promoted flowering by 2.1 days when the early flowering alleles of ZmCCT9 and ZmCCT10 were fixed in the lines with long‐ear/late‐flowering KNR6 TE− allele of KNR6 (Figure S4). Moreover, the early‐flowering alleles of VGT1, ZmCCT9 and ZmCCT10 were not fixed in modern inbreds (Figure S5). Thus, we proposed an operational strategy, as shown in two aforementioned Chinese germplasms, to improve grain yield of the lines by replacing the short‐ear/early‐flowering KNR6 TE+ allele with the long‐ear/late‐flowering KNR6 TE− allele of KNR6 and balancing the late‐flowering effect by pyramiding the early‐flowering alleles of ZmCCT9, ZmCCT10, VGT1 and other flowering‐time genes via marker‐assisted selection (Figure 1o). Collectively, we found that KNR6 underwent divergent selection during maize breeding to extend adaptation and increase grain yield, and offered a knowledge‐driven strategy for engineering KNR6 to maximize maize grain production. Author contributions W.L, H.J., Z.Z., X.Y. and L.L. designed research. W.L, H.J., M.L., Y.H., W.C., P.Y., Z.Y. and Q.C. performed the experiment and analysed the data. W.L., H.J., X.Y. and L.L. wrote the paper. F.T. and Z.Z. revised it. All the authors read and approved the paper. Competing interests The authors declare no competing interests. Supporting information Appendix S1 Methods. Click here for additional data file. Data S1 List of teosinte accessions, maize landraces and inbred lines used in this study. Click here for additional data file.

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          The molecular genetics of crop domestication.

          Ten thousand years ago human societies around the globe began to transition from hunting and gathering to agriculture. By 4000 years ago, ancient peoples had completed the domestication of all major crop species upon which human survival is dependent, including rice, wheat, and maize. Recent research has begun to reveal the genes responsible for this agricultural revolution. The list of genes to date tentatively suggests that diverse plant developmental pathways were the targets of Neolithic "genetic tinkering," and we are now closer to understanding how plant development was redirected to meet the needs of a hungry world.
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            KRN4 Controls Quantitative Variation in Maize Kernel Row Number

            Kernel row number (KRN) is an important component of yield during the domestication and improvement of maize and controlled by quantitative trait loci (QTL). Here, we fine-mapped a major KRN QTL, KRN4, which can enhance grain productivity by increasing KRN per ear. We found that a ~3-Kb intergenic region about 60 Kb downstream from the SBP-box gene Unbranched3 (UB3) was responsible for quantitative variation in KRN by regulating the level of UB3 expression. Within the 3-Kb region, the 1.2-Kb Presence-Absence variant was found to be strongly associated with quantitative variation in KRN in diverse maize inbred lines, and our results suggest that this 1.2-Kb transposon-containing insertion is likely responsible for increased KRN. A previously identified A/G SNP (S35, also known as Ser220Asn) in UB3 was also found to be significantly associated with KRN in our association-mapping panel. Although no visible genetic effect of S35 alone could be detected in our linkage mapping population, it was found to genetically interact with the 1.2-Kb PAV to modulate KRN. The KRN4 was under strong selection during maize domestication and the favorable allele for the 1.2-Kb PAV and S35 has been significantly enriched in modern maize improvement process. The favorable haplotype (Hap1) of 1.2-Kb-PAV-S35 was selected during temperate maize improvement, but is still rare in tropical and subtropical maize germplasm. The dissection of the KRN4 locus improves our understanding of the genetic basis of quantitative variation in complex traits in maize.
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              Convergent selection of a WD40 protein that enhances grain yield in maize and rice

              A better understanding of the extent of convergent selection among crops could greatly improve breeding programs. We found that the quantitative trait locus KRN2 in maize and its rice ortholog, OsKRN2 , experienced convergent selection. These orthologs encode WD40 proteins and interact with a gene of unknown function, DUF1644, to negatively regulate grain number in both crops. Knockout of KRN2 in maize or OsKRN2 in rice increased grain yield by ~10% and ~8%, respectively, with no apparent trade-offs in other agronomic traits. Furthermore, genome-wide scans identified 490 pairs of orthologous genes that underwent convergent selection during maize and rice evolution, and these were enriched for two shared molecular pathways. KRN2 , together with other convergently selected genes, provides an excellent target for future crop improvement. Maize and rice are important sources of human calories and have been, mostly independently, subject to human selection for thousands of years, often for similar traits such as grain yield. W. Chen et al . examined the genomes of accessions of domestic maize and its wild relative, teosinte, for evolutionary signals of selection. From these sequences, the authors identified a quantitative trait locus in maize that increased kernel row number. Fine mapping determined that this locus contains a candidate gene, KRN2 . Gene-editing experiments of KRN2 and its homolog in rice determined that a similar phenotype increasing grain number per plant could be recapitulated. Thus, identifying genes under selection in one cereal provides useful fodder for crop improvements. —LMZ Convergent selection of KRN2 and other genes in maize and rice provide insight for crop improvement. During the independent process of cereal evolution, many trait shifts appear to have been under convergent selection to meet the specific needs of humans. Identification of convergently selected genes across cereals could help to clarify the evolution of crop species and to accelerate breeding programs. In the past several decades, researchers have debated whether convergent phenotypic selection in distinct lineages is driven by conserved molecular changes or by diverse molecular pathways. Two of the most economically important crops, maize and rice, display some conserved phenotypic shifts—including loss of seed dispersal, decreased seed dormancy, and increased grain number during evolution—even though they experienced independent selection. Hence, maize and rice can serve as an excellent system for understanding the extent of convergent selection among cereals. Despite the identification of a few convergently selected genes, our understanding of the extent of molecular convergence on a genome-wide scale between maize and rice is very limited. To learn how often selection acts on orthologous genes, we investigated the functions and molecular evolution of the grain yield quantitative trait locus KRN2 in maize and its rice ortholog OsKRN2 . We also identified convergently selected genes on a genome-wide scale in maize and rice, using two large datasets. We identified a selected gene, KRN2 ( kernel row number2 ), that differs between domesticated maize and its wild ancestor, teosinte. This gene underlies a major quantitative trait locus for kernel row number in maize. Selection in the noncoding upstream regions resulted in a reduction of KRN2 expression and an increased grain number through an increase in kernel rows. The rice ortholog, OsKRN2 , also underwent selection and negatively regulates grain number via control of secondary panicle branches. These orthologs encode WD40 proteins and function synergistically with a gene of unknown function, DUF1644, which suggests that a conserved protein interaction controls grain number in maize and rice. Field tests show that knockout of KRN2 in maize or OsKRN2 in rice increased grain yield by ~10% and ~8%, respectively, with no apparent trade-off in other agronomic traits. This suggests potential applications of KRN2 and its orthologs for crop improvement. On a genome-wide scale, we identified a set of 490 orthologous genes that underwent convergent selection during maize and rice evolution, including KRN2/OsKRN2 . We found that the convergently selected orthologous genes appear to be significantly enriched in two specific pathways in both maize and rice: starch and sucrose metabolism, and biosynthesis of cofactors. A deep analysis of convergently selected genes in the starch metabolic pathway indicates that the degree of genetic convergence via convergent selection is related to the conservation and complexity of the gene network for a given selection. Our findings show that common phenotypic shifts during maize and rice evolution acting on conserved genes are driven at least in part by convergent selection, which in maize and rice likely occurred both during and after domestication. We provide evolutionary and functional evidence on the convergent selection of KRN2/OsKRN2 for grain number between maize and rice. We further found that a complete loss-of-function allele of KRN2/OsKRN2 increased grain yield without an apparent negative impact on other agronomic traits. Exploring the role of KRN2/OsKRN2 and other convergently selected genes across the cereals could provide new opportunities to enhance the production of other global crops.
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                Author and article information

                Contributors
                yxiaohong@cau.edu.cn
                leil@mail.hzau.edu.cn
                Journal
                Plant Biotechnol J
                Plant Biotechnol J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                16 April 2023
                July 2023
                : 21
                : 7 ( doiID: 10.1111/pbi.v21.7 )
                : 1311-1313
                Affiliations
                [ 1 ] State Key Laboratory of Plant Environmental Resilience and National Maize Improvement Center of China China Agricultural University Beijing China
                [ 2 ] National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory Huazhong Agricultural University Wuhan China
                [ 3 ] Food Crops Institute Hubei Academy of Agricultural Science, Hubei Hongshan Laboratory Wuhan China
                [ 4 ] Department of Crop and Soil Sciences North Carolina State University Raleigh North Carolina USA
                [ 5 ]Present address: Department of Biochemistry University of Wisconsin‐Madison Madison Wisconsin USA
                Author notes
                [*] [* ] Correspondence (Tel +86‐027‐87282689; fax +86‐027‐87384670; email leil@ 123456mail.hzau.edu.cn (L.L.) and Tel/fax +86‐010‐62732400; email yxiaohong@ 123456cau.edu.cn (X.Y.))
                [ † ]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-6106-8530
                https://orcid.org/0000-0003-1409-6288
                https://orcid.org/0000-0003-3013-183X
                https://orcid.org/0000-0001-7326-2595
                https://orcid.org/0000-0002-7556-9635
                https://orcid.org/0000-0002-3304-8321
                https://orcid.org/0000-0003-3552-4536
                https://orcid.org/0000-0001-8697-1681
                https://orcid.org/0000-0001-6438-948X
                https://orcid.org/0000-0002-5095-7244
                Article
                PBI14050 PBI-01464-2022.R1
                10.1111/pbi.14050
                10281600
                37061865
                c8a484f0-510d-43d2-9c28-ce27eb89c445
                © 2023 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 13 March 2023
                : 28 September 2022
                : 24 March 2023
                Page count
                Figures: 1, Tables: 0, Pages: 1313, Words: 2086
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100005236;
                Award ID: 31901558
                Award ID: 32225036
                Funded by: Chinese Universities Scientific Fund , doi 10.13039/501100001809;
                Award ID: 2022TC077
                Categories
                Brief Communication
                Brief Communications
                Custom metadata
                2.0
                July 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.9 mode:remove_FC converted:20.06.2023

                Biotechnology
                flowering time,grain yield,trade‐off,divergent selection,maize
                Biotechnology
                flowering time, grain yield, trade‐off, divergent selection, maize

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